ArticlePDF Available

Impact of Different Shading Levels on Growth, Yield and Quality of Potato (Solanum tuberosum L.)

Authors:
  • Landwirtschaftliches Technologiezentrum Augustenberg
  • LandwirtschaftlichesTechnologiezentrum Augustenberg

Abstract and Figures

In agroforestry systems (AFS), trees shade the understory crop to a certain extent. Potato is considered a shade-tolerant crop and was thus tested under the given total solar irradiance and climatic conditions of Southwestern Germany for its potential suitability in an AFS. To gain a better understanding of the effects of shade on growth, yield and quality; a three-year field experiment with different artificial shading levels (12%, 26% and 50%) was established. Significant changes in growth occurred at 50% shading. While plant emergence was not affected by shade, flowering was slightly delayed by about three days. Days until senescence also showed a delay under 50% shade. The number of tubers per plant and tuber mass per plant were reduced by about 53% and 69% under 50% shade. Depending on the year, tuber dry matter yield showed a decrease of 19–44% at 50% shade, while starch content showed no significant differences under shade compared to unshaded treatment. The number of stems per plant, plant height and foliage mass per plant as well as tuber fraction, black spot bruise and macronutrient content were unaffected. Overall, potato seems to tolerate shading and can therefore be integrated in an AFS, and can cope with a reduced total irradiance up to 26%.
Content may be subject to copyright.
agronomy
Article
Impact of Dierent Shading Levels on Growth, Yield
and Quality of Potato (Solanum tuberosum L.)
Vanessa S. Schulz 1,*, Sebastian Munz 1, Kerstin Stolzenburg 2, Jens Hartung 1,
Sebastian Weisenburger 2and Simone Grae-Hönninger 1
1Department of Agronomy (340), Institute for Crop Science, University of Hohenheim, 70599 Stuttgart,
Germany; s.munz@uni-hohenheim.de (S.M.); moehring@uni-hohenheim.de (J.H.);
simone.grae@uni-hohenheim.de (S.G.-H.)
2Centre for Agricultural Technology Augustenberg (LTZ), 76287 Rheinstetten-Forchheim, Germany;
Kerstin.Stolzenburg@ltz.bwl.de (K.S.); Sebastian.Weisenburger@ltz.bwl.de (S.W.)
*Correspondence: V.Schulz@uni-hohenheim.de; Tel.: +49-721-9518-216
Received: 17 April 2019; Accepted: 18 June 2019; Published: 21 June 2019


Abstract:
In agroforestry systems (AFS), trees shade the understory crop to a certain extent. Potato
is considered a shade-tolerant crop and was thus tested under the given total solar irradiance and
climatic conditions of Southwestern Germany for its potential suitability in an AFS. To gain a better
understanding of the eects of shade on growth, yield and quality; a three-year field experiment
with dierent artificial shading levels (12%, 26% and 50%) was established. Significant changes in
growth occurred at 50% shading. While plant emergence was not aected by shade, flowering was
slightly delayed by about three days. Days until senescence also showed a delay under 50% shade.
The number of tubers per plant and tuber mass per plant were reduced by about 53% and 69% under
50% shade. Depending on the year, tuber dry matter yield showed a decrease of 19–44% at 50% shade,
while starch content showed no significant dierences under shade compared to unshaded treatment.
The number of stems per plant, plant height and foliage mass per plant as well as tuber fraction, black
spot bruise and macronutrient content were unaected. Overall, potato seems to tolerate shading
and can therefore be integrated in an AFS, and can cope with a reduced total irradiance up to 26%.
Keywords: potato (Solanum tuberosum); shade; light; yield; growth; quality
1. Introduction
Due to increasing pressure on cultivated land, intercropping systems may provide an alternative
option of economic and environmental interest in temperate regions. Research on temperate
intercropping peaked in the 1980s, and was focused on the promotion of sustainable agricultural
management strategies [
1
,
2
]. These past studies presented intercropping systems as ecologically
advantageous when compared to monocultures. Intercropping allows more ecient use of land
area, changes the microclimate, improves the biodiversity, oers economic diversity, creates wildlife
habitats, and minimizes climate variabilities [
3
5
]. Within the past decade, research on temperate
intercropping has increased because it is considered as an eective strategy to mitigate food insecurities
and agriculture-related environmental degradation of land and water. This increased interest is partially
associated with recent technological advancements, which improve the labor eciency potential of the
practice [6].
A special form of intercropping is the agroforestrysystem (AFS). These systems combine an annual
agricultural component (crop or livestock production) with a perennial woody component (trees,
hedgerows) at the same time on the same area of land [
7
9
]. The advantages of AFS include increased
carbon sequestration, improved water regulation, better soil fertility, reduced erosion, and additional
Agronomy 2019,9, 330; doi:10.3390/agronomy9060330 www.mdpi.com/journal/agronomy
Agronomy 2019,9, 330 2 of 21
aesthetic value [
10
13
]. However, in most silvoarable agroforestry systems (a combination of annual
crop production with woody perennials), competition not only exists aboveground (competition for
light), but also comes from belowground (competition for soil moisture and nutrients), both of which
may lead to lower crop yields.
Worldwide, there are numerous options for combining trees and crops in AFS (e.g., alley cropping,
forest farming, riparian buer, silvopasture or windbreaks) [
14
]. However, most of these systems show
a reduction in crop yields due to tree competition, especially when the plantation design is too dense.
An example of an AFS is apple trees (Malus pumila Mill.) with soybean (Glycine max L. Merr.) and
peanut (Arachis hypogaea L.) in the Loess Plateau region of China. The yields were reduced by about
3–4% in 2.5 m distances to the tree trunk, respectively [
15
]. An AFS of jujube trees (Ziziphus jujube Mill.)
and wheat (Triticum aestivum L.) in northwest China showed a grain yield reduction of 18% under
4-year-old trees planted with a row distance of 6 m, and a yield reduction of 30% under 6-year-old
trees planted with a 3 m row distance compared with the unshaded control [
16
]. Other experiments
with maize (Zea mays L.) and beans (Phaseolus spp. L.) grown between 15 m wide rows of Paulownia
trees (Paulownia elongate S. Y. Hu) showed reduced grain yields of 32% and 37%, respectively [
17
].
Rice (Oryza sativa L.) or wheat grown in a 20 m x 20 m field in Western Himalaya together with one
row of Grewia optiva (J.R. Drumm. ex Burret), Morus alba (L.) or Eucalyptus spp. hybrids (L’H
é
r.) in
the center of the field, reduced yields of rice by 28–34% and of wheat by 28–29% compared with the
control without trees [
18
]. Beans (Phaseolus vulgaris L.) grown under Timor Mountain Gum (Eucalypthus
urophylla S.T. Blake) in Brazil showed significantly reduced bean yields of almost 50% [19].
Most of these studies examined the reduction of incident radiation as the main factor for reduced
yields [
15
,
18
,
20
,
21
], thus studying the use of shade tolerant crops in an AFS could be advantageous.
Such crops are able to reach their light saturation point at lower total solar irradiance, have a better
yield performance under shade, and therefore, can be grown in an AFS.
Potato (Solanum tuberosum L.) is known to be a shade-tolerant crop. As a C3 plant, potato needs
moderate irradiance conditions [
22
]. Its light saturation point for photosynthetically active radiation
(PAR) is considered to be around 400
µ
mol m
2
s
1
, which corresponds to 14.86 MJ m
2
day
1
[
23
].
Especially in tropical and subtropical zones (0–23.5
N/S and 23.5–40
N/S latitude) where potato can
be grown throughout the year and radiation is up to 30 MJ m
2
day
1
, potato is quite often integrated
in an AFS. Studies from Nigeria, Kenya and South Asia show only minor eects on yield by tree
shading in AFS.
An experiment in Nigeria showed that growing potato (Solanum tuberosum L.) between rows
of rattle trees (Albizia lebbeck L. Enth.) increased the tuber yield and the number of tubers [
24
].
Under unfertilized, open field conditions in Kenya, potatoes also obtained higher yields in an AFS
with Eucalyptus grandis (W. Hill ex Maiden) [
25
]. An Indonesian experiment that used artificial shading
showed that plant height and tuber yield increased under 50% light reduction, compared with full
sunlight. The height of some potato cultivars was aected by artificial shade [
22
]. Such changes in
plant height represent a shade avoidance response, with plant height increasing under shade to reach
more light. This stimulates the plants and leads to height growth and elongation to obtain more
irradiation [
26
]. In Egypt, taller plants were obtained under colored nets in comparison to the open
field [
27
]. Earlier experiments in Egypt on potatoes found that potatoes grown under low irradiance
were taller, but the tubers were smaller and irregularly shaped. Furthermore, the tuber dry weight was
reduced under low light conditions [28].
It has been proven that the duration of each potato growth phase determines the later yield [
29
].
In the tropics and subtropics, there is still enough radiation (even under shady AFS conditions) available
to reach the light saturation point of potato. However, it might not be reached at higher latitudes.
In the temperate zone of Europe where the growing season lasts from March to October, the amount of
radiation available is between 10–20 MJ m
2
day
1
[
30
]. Since light has a decisive influence on plant
growth, yield is reduced by shade and lower total solar irradiance in higher latitudes, while in lower
latitudes competition for water and nutrients has a major eect. So far, little research is available on
Agronomy 2019,9, 330 3 of 21
the impact of shady conditions at higher latitudes on the growth, yield and quality of potato in an
AFS under non-tropical conditions. In the few studies on AFS with potatoes in temperate (potatoes
and hazel (Corylus avellane (L.)) and subarctic zones (potatoes and willow (Salix sp. (L.)), experiments
have mainly focused on potato cultivation beside windbreaks [
31
33
]. Beside these windbreaks, other
abiotic factors such as wind reduction, reduced soil evaporation, reduction of mechanical stimulus
(e.g., twisting of plants) have an influence on growth and yield, and water and nutrients are also
aected. In an AFS, these interactions make it dicult to determine the influence of shade. Therefore,
the influence of shade has to be determined by artificial shading.
The objectives of this study were to evaluate the impact of four dierent shade levels (0%, 12%, 26%
and 50%) on potato growth, tuber yield and quality parameters under the given total solar irradiance
of Southwestern Germany. The determined threshold could be an indicator for farmers as to which
level of shade potato cultivation might be profitable. Fertilization or irrigation can compensate for
some limitations, but a reduction in light cannot be mitigated.
2. Materials and Methods
2.1. Site Conditions and Experimental Design
The field experiment was carried out from 2015 to 2017 in Southwest Germany at the Centre for
Agricultural Technology Augustenberg (LTZ) in Rheinstetten-Forchheim (48
58
0
N, 8
18
0
E, 117 m
above sea level). The site is located in the lower Rhine valley on a Luvisol (60.2% sand, 13.7% clay and
26.1% silt) soil. The mean long-term annual precipitation was 742 mm and the average temperature was
10.1
C (1981–1990). During the main growing season at this site (April to October), the mean average
total solar irradiance from 2009 to 2017 amounted to 17 MJ m
2
day
1
. Weather data were collected in
a linear distance of 270 m from the experimental site. Total solar irradiance was measured by a SCAPP
(scanning pyrheliometer and pyranometer, Fa. Siggelkow Gerätebau, Hamburg). The monthly air
temperature averages, cumulative precipitation and average total solar irradiance for the experimental
years are given in Figure 1. In all of the experimental years, the previous crop was winter barley.
Dierent green manure crops were incorporated in the potato experimental plots during the winter
months of each experimental year. Green manure crops included 25 kg ha
1
Sinapsis alba L. in 2014/2015,
18 kg ha
1
flower mixture (FAKT M2, BSV Saaten; 20.0% leguminosae, 6.0% rough leguminosae, 27.5%
herbs, 46.5% others [
34
]) in 2015/2016 and 25 kg ha
1
Raphanus sativus L. cv. ‘Denfender’ in 2016/2017.
On 20 September 2014 (day of the year (DOY) 263), primary tillage was done with a moldboard
plough (25 cm depth). Potatoes were planted on 16 April 2015 (DOY 106), 13 April 2016 (DOY 104)
and 13 April 2017 (DOY 103) after secondary tillage with a chisel plow (15 cm depth). The mid-early
potato variety ‘Selma’ (Solanum tuberosum L., Bavaria Saat) was planted with a row distance of 0.75 m
and an intra-row distance of 0.35 m, which resulted in four plants per m
2
. The experimental design
was a randomized complete block design with three replicates. Plots were 10 m long and 6 m wide,
consisting of a total of 8 rows per plot. Core plots for tuber harvest were 8 m long and 1.5 m wide,
including two rows and leaving three rows on the left and right as a border. Planting depth was 5 cm.
Hoeing and earthing up was done prior to pre-emergence herbicide application. Amount of fertilizer
was calculated based on nutrient removal. The date, amount and type of fertilizer is shown in Table 1.
Fertilization was done by a pneumatic centrifugal spreader (RAUCH AERO 2212, Sinzheim, Germany).
Plant protection was done based on the risk assessment of the online tool ‘ISIP’ [
35
]. The amount and
type of pesticides are given in Table A1 in the Appendix A. Plant protection was conducted according
to the codes of “Good Agricultural Practice in Plant Protection and Fertilization” [
36
]. Irrigation
was done by an overhead irrigation-gun on 29 May 2015 (DOY 149), 29 June 2015 (DOY 180), 7 July
2015 (DOY 188), 16 July 2015 (DOY 197), 3 August 2015 (DOY 215), 7 July 2016 (DOY 189), 13 July
2016 (DOY 195), 29 July 2016 (DOY 211), 12 August 2016 (DOY 225), 31 August 2016 (DOY 244),
31 May 2017 (DOY 151), 20 June 2017 (DOY 171) and 4 July 2017 (DOY 185), with 30 mm of water
at each irrigation event. The irrigation was based on the recommendations of the online irrigation
Agronomy 2019,9, 330 4 of 21
tool, ‘Agrowetter’ [
37
]. Harvest was conducted using a one-row potato elevator-digger (Niewöhner
Wühlmaus, Weimar, Germany) on 8 September 2015 (DOY 251), 6 September 2016 (DOY 250) and 6
September 2017 (DOY 249).
Agronomy 2019, 9, x FOR PEER REVIEW 4 of 21
digger (Niewöhner Wühlmaus, Weimar, Germany) on 8 September 2015 (DOY 251), 6 September
2016 (DOY 250) and 6 September 2017 (DOY 249).
Figure 1. The monthly cumulative precipitation (mm, blue bars), mean air temperature (°C, solid, red
line) and average total solar irradiance (MJ m2 day1, filled, black circles) during the experimental
years 2015 to 2017 at Rheinstetten-Forchheim.
Table 1. Date, amount, active ingredient and pure nutrient amount of the applied fertilizer. The day
of the year (DOY) is given in parentheses beneath the corresponding date.
Date Fertilizer Active
ingredient Pure nutrient
16 April
2015
(DOY 106)
130 kg ha1 lime-nitrogen 20% N, 50% CaO 26 kg N, 46 kg Ca
300 kg ha1 ALZON46 46% N 138 kg N
600 kg ha1 potassium sulfate with
magnesium 23% P2O5, 9% S 60 kg P, 54 kg S
200 kg ha1 superphosphate 18 18% P2O5, 12% S 16 kg P, 24 kg S
11 April
2016
(DOY 102)
350 kg ha1 lime-nitrogen 20% N, 50% CaO 70 kg N, 125 kg Ca
12 April
2016
(DOY 103)
260 kg ha1 calcium ammonium nitrate 27% N 70 kg N
450 kg ha1 superphosphate 18 18% P2O5, 12% S 35 kg P, 54 kg S
1110 kg ha1 sulphate of potash
containing magnesium salt
30% K2O, 10%
MgO,
17% S
276 kg K, 67 kg
Mg, 189 kg S
13 April
2017
(DOY 103)
260 kg ha1 ALZON46 46% N 120 kg N
970 kg ha1 sulphate of potash containing
magnesium salt
30% K2O, 10%
MgO,
17% S
242 kg K, 58 kg Mg,
165 kg S
27 April
2017
(DOY 117)
390 kg ha1 superphosphate 18 18% P2O5, 12% S 31 kg P 47 kg S
2.2. Shading Levels
Shading was created by nets which reduced the incoming solar radiation by 12%, 26% and 50%.
The different shading levels were compared with full sunlight (0% shade). The nets were made of
polyethylene and had different mesh sizes to create the different shading levels. The 12% net had a
mesh size of 3 × 8 mm and was black; the 26% net had a mesh size of 12 × 12 mm and was green, and
the 50% net had a mesh size of 3 × 3 mm and was green (AGROFLOR Kunststoff GmbH, Wolfurt,
Austria). Nets were installed at the time of potato emergence (growth stage (GS) 009 according to
[38]), on 20 May 2015 (DOY 140), 10 May 2016 (DOY 131) and 9 May 2017 (DOY 129). Nets were
clipped on to steel wires, which were connected between wooden posts. The height of the nets could
be adapted to the plant growth, and to 1 or 2 m in height. A distance of 0.5 m between the nets and
canopy surface was guaranteed. Further information about the experiment layout can be found in
Figure 1.
The monthly cumulative precipitation (mm, blue bars), mean air temperature (
C, solid, red
line) and average total solar irradiance (MJ m
2
day
1
, filled, black circles) during the experimental
years 2015 to 2017 at Rheinstetten-Forchheim.
Table 1.
Date, amount, active ingredient and pure nutrient amount of the applied fertilizer. The day of
the year (DOY) is given in parentheses beneath the corresponding date.
Date Fertilizer Active Ingredient Pure Nutrient
16 April 2015
(DOY 106)
130 kg ha1lime-nitrogen 20% N, 50% CaO 26 kg N, 46 kg Ca
300 kg ha1ALZON46 46% N 138 kg N
600 kg ha1potassium sulfate with
magnesium 23% P2O5, 9% S 60 kg P, 54 kg S
200 kg ha1superphosphate 18 18% P2O5, 12% S 16 kg P, 24 kg S
11 April 2016
(DOY 102) 350 kg ha1lime-nitrogen 20% N, 50% CaO 70 kg N, 125 kg Ca
12 April 2016
(DOY 103)
260 kg ha
1
calcium ammonium nitrate
27% N 70 kg N
450 kg ha1superphosphate 18 18% P2O5, 12% S 35 kg P, 54 kg S
1110 kg ha1sulphate of potash
containing magnesium salt
30% K2O, 10% MgO,
17% S
276 kg K, 67 kg
Mg, 189 kg S
13 April 2017
(DOY 103)
260 kg ha1ALZON46 46% N 120 kg N
970 kg ha1sulphate of potash
containing magnesium salt
30% K2O, 10% MgO,
17% S
242 kg K, 58 kg Mg,
165 kg S
27 April 2017
(DOY 117) 390 kg ha1superphosphate 18 18% P2O5, 12% S 31 kg P 47 kg S
2.2. Shading Levels
Shading was created by nets which reduced the incoming solar radiation by 12%, 26% and 50%.
The dierent shading levels were compared with full sunlight (0% shade). The nets were made of
polyethylene and had dierent mesh sizes to create the dierent shading levels. The 12% net had a
mesh size of 3
×
8 mm and was black; the 26% net had a mesh size of 12
×
12 mm and was green, and
the 50% net had a mesh size of 3
×
3 mm and was green (AGROFLOR KunststoGmbH, Wolfurt,
Austria). Nets were installed at the time of potato emergence (growth stage (GS) 009 according to [
38
]),
on 20 May 2015 (DOY 140), 10 May 2016 (DOY 131) and 9 May 2017 (DOY 129). Nets were clipped on
to steel wires, which were connected between wooden posts. The height of the nets could be adapted
to the plant growth, and to 1 or 2 m in height. A distance of 0.5 m between the nets and canopy surface
was guaranteed. Further information about the experiment layout can be found in Schulz et al. [
39
].
Table 2shows the total incoming daily solar irradiance at the experimental site from the time of the
Agronomy 2019,9, 330 5 of 21
potato crop emergence (Growth Stage (GS) 009) to the tuber harvest (GS 909) for each experimental
year and the theoretically reduced incoming total solar irradiance under the shading nets.
Table 2.
The calculated total solar irradiance for the shading treatments during the period without
shading (-S, planting growth stage (GS) 000 to emergence GS 009), the period with shading (+S,
emergence GS 009 to harvest GS 909) and the whole growing period (GP, planting GS 000 to harvest GS
909) (MJ m2day1), the duration of these time periods (days) is given in parentheses.
Total Solar Irradiance (MJ m2day1)
Year 2015 2016 2017
Time
Period
-S
(26)
+S
(112)
GP
(138)
-S
(26)
+S
(121)
GP
(147)
-S
(32)
+S
(115)
GP
(147)
Shading level
0%
18.52
20.22 19.90
17.70
19.15 18.90
14.87
20.13 18.96
12% 17.80 17.93 16.86 17.00 17.72 17.08
26% 14.97 15.64 14.17 14.80 14.90 14.89
50% 10.11 11.70 9.58 10.01 10.07 11.14
values for +S were calculated by subtracting the light reduction by nets from the measured total irradiance at
0% shade.
2.3. Data Collection and Analysis
2.3.1. Growth Parameters
In 2015, no growth parameters were determined; only the tuber dry matter yield and quality
were determined. During the vegetation periods 2016 and 2017, destructive and non-destructive
measurements were done. Growth stages according to the BBCH-scale were determined twice a
week [
40
]. Potato plant height measurements were obtained every week during the emergence stage
(GS 009) through to tuber formation (GS 405) on four plants per plot. Plant height was determined
using a meter stick to measure the highest point of the soil surface to the highest point of the plant
canopy. When the potato plant flowers, the stem and leaves have reached their maximum growth (GS
405), and tubers have reached 50% of their final mass (GS 625) [
33
35
]. Due to the high workload at GS
405/625, two plants per plot were randomly selected from the 3rd or 6th row and harvested for further
observations. The observed parameters were stems per plant, tubers per plant, tuber mass per plant,
total foliage mass per plant (including all above ground biomass; leaves, stem, flowers, berries), the
ratio between foliage and tuber mass, total mass per plant and the harvest index (HI). Leaf area (LA)
was determined using Equation (1):
LA =LL·LW·0.55, (1)
where LL is the leaf length from leaf tip to leaf attachment at stem, LW is the maximum leaf width and
0.55 is a constant [
41
]. Leaf length and the width of a leaf from the middle leaf layer were measured
with a meter-stick. The leaf was dried for three days at 60
C and the specific leaf area (SLA) was
calculated. LA and SLA were only determined in 2017. Growing degree days (GDD) were calculated
using Equation (2), where iis the day between planting (P) and harvest (H):
GDD =
H
X
i=P Tmaxi+Tmini
2Tbase!. (2)
For potato, a base temperature (T
base
) of 6
C was assumed since no sprout growth is expected at
lower temperatures [4245]. If Tmax or Tmin at day iwere smaller than Tbase they were set to Tbase [46].
Agronomy 2019,9, 330 6 of 21
2.3.2. Yield Parameters
In all years, all harvested tubers from the center rows of each plot were weighed to calculate yield
on a hectare basis. Then, a sub-sample of 2 kg per plot were fresh weighed, oven-dried (1 week, 105
C)
and the dry weight was determined to calculate the dry mass and substance. In 2016 and 2017, all
fresh-harvested tubers per plot were sorted according to the size classes: <30 mm (undersized fraction),
30–60 mm (table fraction), and >60 mm (oversized fraction) [
47
]. Selma is listed in the German variety
list as a variety that has long oval tubers [48].
2.3.3. Quality Parameters
An additional sub-sample of 2 kg from the harvested tubers per plot was used to determine
nitrogen (N) via the combustion method after Dumas, and phosphorus (P), potassium (K), calcium
(Ca), magnesium (Mg) and sulfur (S) via spectrometry [
49
51
]. Analysis of starch content was done
according to the polarimetry method [
52
]. Sub-sample of 30 tubers per plot between 30–60 mm were
analyzed for black spot bruise [
47
]. The black spot bruise index (BSB) was calculated from the number
of light, middle and strong discolored tubers (tuberlight,tubermiddle, and tuberstrong , respectively):
BSB =0.3 ·tuberlight+(0.5 ·tubermiddle)+tuberstron g
tubertotal
×100. (3)
A tuber is counted as light discolored when 1/4 of the circumference is discolored to a 5 mm
depth. A tuber is counted as middle discolored when 1/4 of the circumference is discolored and
this discoloration is deeper than 5 mm and/or when half of the circumference is discolored to 5 mm.
A strong discoloration occurs when tubers are discolored up to half of the circumference and are
discolored deeper than 5 mm and/or more than 1/2 is discolored up to 5 mm depth. To measure BSB,
samples were spun in a washing machine for 45–90 s (determination of the time took place every year
with a standard potato variety). Afterwards, samples were stored for 4–5 days at room temperature.
Then the tubers were cut at the greatest diameter and the number of tubers with discoloration (blue,
grey or black) was determined [53].
2.3.4. Data Analysis and Statistics
Analysis of the yield data was performed for each year by using the following fitted model:
yij =µ+ri+sj+eij, (4)
where y
ij
is the tuber dry matter yield,
µ
the general eect, r
i
is the fixed eect of the i-th replicate, s
j
is
the fixed eect of the j-th shading level and eij is the residual error of yijk.
For the analysis of repeated measurements (duration of growing phases, number of stems per
plant, number of tubers per plant, tuber mass per plant, foliage mass per plant, foliage:tuber mass
ratio, total mass per plant and HI) on two plants per plot at GS 405/625 the model was as follows:
yijk =µ+ri+sj+(rs)ij +eijk, (5)
where y
ikj
is the response,
µ
the general eect, r
i
is the fixed eect of the i-th replicate, s
j
is the fixed
eect of the j-th shading level, (rs)
ij
is the random plot eect where the j-th shading level is used in the
i-th replicate, and e
ijk
is the residual error of y
ijk
which corresponds to the k
th
plant eect in the ij
th
plot.
For both models the PROC MIXED procedure of Statistical Analysis Software SAS, version 9.4 (SAS
Institute Inc., Cary, NC, USA) was used.
Agronomy 2019,9, 330 7 of 21
The multi-year analysis of quality data (macronutrients: nitrogen, phosphorus, potassium, calcium,
magnesium, and sulfur) was done by using the Residual Maximum Likelihood of the PROC MIXED
procedure of SAS. The following linear mixed model was fitted:
yijl =µ+al+sj+(ra)il + (as)lj +eijl, (6)
where y
ijl
is the response,
µ
the general eect, a
l
is the fixed eect of the l-th year, s
j
is the fixed eect of
the j-th shading level, (ra)
il
is the fixed eect of the i-th replicate in the l-th year, (as)
lj
is the random
interaction eect between the l-th year and the j-th shading level, and e
ijl
is the residual error of y
ijl
.
For all models, the assumptions of normality and homogenous variances of residuals were checked
graphically. If necessary, that is, if the AIC decreases, year-specific error variances were fitted. In all
cases, after finding significant dierences via the F-test, dierences between treatments were compared
at
α
=5% using Fisher’s least significant dierence test (LSD). More information on the statistics used
can be found in Schulz et al. [39].
The growth parameters for plant height were fitted for each plot with the function ‘nls’ of the R
packages ‘nlstools’ and ‘car’ [54,55]. The non-linear regression matched the following equation:
y=θ1
1+e(θ2+θ3·GDD), (7)
where yis the dependent variable for height in the single years 2016 and 2017,
θ1
is the asymptote of
the dependent variable,
θ2
is the parallel shift,
θ3
the slope of the function; and GDD are the growing
degree days, calculated after Equation (2). Estimates for
θ1
,
θ2
and
θ3
from each plot were then
submitted to multi-year analysis via model (6).
3. Results and Discussion
3.1. Growth and Development
In 2016 and 2107, artificial shading started after emergence (GS 009), therefore, shading had
no influence on the emergence of the potatoes (Table 3). These results agree with an experiment
with diverse potato cultivars in the Philippines, where uniform plant emergence was observed at
54% shading and at full light [
56
]. Because potatoes do not have photosynthetically active biomass
until emergence, a change in total solar irradiance has no direct eect on the emergence of plants
by influencing their radiation use. However, an indirect influence due to changing soil temperature
and moisture might occur. Our study revealed that flowering initiation (GS 601) was prolonged at
shading levels >12% shade. In 2017, there was only a significant prolongation under 50%, from 440
GDD under 0% to 467 GDD under 50%. The time from flowering initiation to senescence initiation
(GS 901) was prolonged from 973 GDD under 0% and 12% shade to 1211 GDD under 26% and 50%
shade. In 2017, no change was observable between 12% and 26% shade compared with 0%. This can
be explained by diering climatic conditions in 2016 and 2017. In 2016, the 26% and 50% shade
treatment needed a higher amount of GDD to reach senescence due to the cooler and rainy growing
period. The light saturation of 14.86 MJ m
2
day
1
could not be reached. The rainy period lasted from
April to June (Figure 1). During these months the total solar irradiance was lower (14.34, 18.02 and
19.28 MJ m
2
day
1
) than in 2015 (17.94, 18.93 and 21.08 MJ m
2
day
1
) and 2017 (15.9, 19.38 and 23.39
MJ m
2
day
1
). Table 2showed that in 2016 the light saturation point of potatoes could not be reached
at levels of 26% and 50% shade, while in 2015 and 2017 this was only observable under 50% shade.
The time from senescence initiation until harvest day (GS 909) in both 2016 and 2017, did not show
any significant changes by shade. The harvestable tuber yield was determined by the duration of the
growing season. This was also shown in a Dutch experiment. The authors observed that the growth
of potato plants and the dry matter production of tubers were mainly determined by the duration of
its growth cycle [
29
], that is, the duration of each single growth phase is important for the later yield.
Agronomy 2019,9, 330 8 of 21
The authors of the study concluded that the development depends on temperature and daylength.
At higher latitudes (e.g., >55
N) growth limitations could occur due to cooler temperatures, which do
not fit the optimum values for the single growing phases.
Table 3.
Duration of growing phases in Growing Degree Days (
Cd) and the range of days from
planting to emergence (P-E), emergence to flowering initiation (E-F), flowering initiation to senescence
initiation (F-S) and senescence initiation to harvest day (S-H) in 2016 and 2017 for the four shading
levels (0%, 12%, 26% and 50%). From planting to emergence is a phase without shading (-S), from
emergence to harvesting potatoes were shaded (+S; see also Table 2). Phases correspond to the GS
000 to 009 (P-E), 009 to 601 (E-F), 601 to 901 (F-S) and 901 to 909 (S-H). SEM gives the standard error
of means.
Duration of Growing Phases
-S +S
Year Shade P-E E-F F-S S-H
GDD days GDD day GDD days GDD days
2016
0% 132 26 559 c 42 973 b 30 1689 48
12% 132 26 573 b 43 973 b 29 1685 48
26% 132 26 580 b 44 1211 a 43 1685 33
50% 137 26 598 a 45 1211 a 42 1685 33
SEM 2.24 3.62 0.00 2.03
p-values $
Replicate 0.422 0.422 1.000 0.422
Shade 0.455 0.002 <0.0001 0.455
2017
0% 169 32 440 b 21 1003 39 1755 54
12% 173 32 447 b 21 1016 39 1768 54
26% 173 32 444 b 21 1011 39 1764 54
50% 169 32 467 a 24 1007 36 1760 54
SEM 2.93 2.79 4.17 4.02
p-values $
Replicate 0.670 1.000 0.823 0.708
Shade 0.654 0.002 0.249 0.243
Means with identical letters within each column and year show non-significant dierences between the shade
levels of the single years (LSD test,
α
0.05).
Note: The SEM was between 0 and 0.005, so rounding to two decimal
places resulted in a SEM of zero. $p-value for the F-test of the corresponding factor.
An experiment conducted in the Philippines showed no significant change in plant height at
dierent light intensities for potatoes grown in December (long-day), while potatoes grown in March
(short-day) showed dierences [
56
]. Under short-day conditions potatoes develop a canopy, which
causes faster senescence and low tuber yields. Since the plants do not receive enough irradiation, they
get into a stress situation and start to relocate their nutrients from the leaves to the generative organs,
which causes senescence of the leaves. Under long-day conditions the above-ground organs do not die
oas quickly and can use the solar irradiance longer and generate higher yields. An additional shade
under short-day conditions can delay development and so, the potato growth phase is prolonged.
Additionally, high temperatures reduce the above-ground biomass. Potatoes grown under temperatures
of 17
C showed dry matter production of 22.8 g m
2
day
1
[
57
], while under higher temperature,
biomass is reduced. To detect if artificial shade aects plant height at higher latitudes, plant height
obtained from our experiment was fitted using a sigmoid growth curve. Results indicated that the
Agronomy 2019,9, 330 9 of 21
year-specific and/or shading level-specific curve determining parameters,
θ1
,
θ2
and
θ3
for the trait
plant height (Equation (7)) were not significantly dierent from each other (the test for year-specific
parameters showed p=0.607, p=0.076 and p=0.826 for
θ1
,
θ2
and
θ3
, respectively; the test for
shade-specific parameters showed p=0.649, p=0.282 and p=0.837 for
θ1
,
θ2
and
θ3
, respectively).
Thus, a single curve across both years can be fitted. This indicates that there were no significant eects
of shading and year on plant height. The observed values and the fitted curve are shown in Figure 2.
Note that year-by-shade interactions were assumed as random in Equation (6).
Agronomy 2019, 9, x FOR PEER REVIEW 9 of 21
plant height only at radiations below 7.7 MJ m2 day1 [60]. The authors related the increase in plant
height to increased gibberellin activity under shade and a reduced assimilation of CO2. Table 2 shows
that in the current study, the total solar irradiance never fell below 7.7 MJ m2 day1, resulting in no
difference in plant height as shown in Figure 2. In addition, the cultivar was a strong influence on the
growth of the potato [61]. At lower latitudes, two out of four shaded potato cultivars showed no
changes in height. One cultivar showed an increase in height at 30% shade, and the other cultivar at
50% shade [22]. The authors ascribed this to a higher auxin level while the gibberellin level also
increased, which promoted stem growth. These results suggest that the cultivar plays a crucial role
in height growth under shade. Abu-Zinada and Mousa generally attributed height changes to genetic
differences in different potato cultivars [62]. A study of a shade-effect on different phytohormones
showed that due to the total irradiance reduction and the associated change in the wavelength
spectrum, changes in phytochrome B occurred, which led to growth expansion [63].
Figure 2. Average values for the observed (symbols) plant height (cm) depending on GDD (°Cd) for
the four shade levels and the two years; 2016 (0% open square, 12% open triangle, 26% open circle
and 50% open diamond) and 2017 (0% filled square, 12% filled triangle, 26% filled circle and 50%
filled diamond) and the fitted growth function (solid, red line) for plant height over all shade levels
and years.
Table 4. Mean growth parameters for two potato plants under four different shade levels (0%, 12%,
26% and 50%) evaluated in 2016 and 2017 at GS 405/625 (maximum foliage growth was reached);
number of stems per plant, number of tuber per plant, tuber mass per plant (g), foliage mass per plant
(g), foliage:tuber mass ratio (%), total mass per plant (g) and the harvest index (HI). SEM gives the
standard error of means.
Shade
Number of
Stems per
Plant
Number of
Tubers per
Plant
Tuber
Mass
per
Plant
Foliage
Mass per
Plant
Foliage:Tuber
Mass Ratio
Total
Mass
per
Plant
HI
Year 2016
Figure 2.
Average values for the observed (symbols) plant height (cm) depending on GDD (
Cd) for the
four shade levels and the two years; 2016 (0% open square, 12% open triangle, 26% open circle and 50%
open diamond) and 2017 (0% filled square, 12% filled triangle, 26% filled circle and 50% filled diamond)
and the fitted growth function (solid, red line) for plant height over all shade levels and years.
In 2016, the control and 26% shade plants reached their maximum height after 730 GDD (62.3 and
72.2 cm). Plants in the 12% and 50% shading treatments reached their maximum heights after 637 GDD
with 65.9 and 60.7 cm, respectively. In the second year, all treatments, with the exception of the 26%
treatment, reached their maximum height after 747 GDD (68.8, 73.5 and 75.9 cm). Plants in the 26%
shading treatment reached their maximum after 627 GDD at 65.0 cm. In Sri Lanka, potatoes in an AFS
with Leucaena leucocephala ((LAM.) DE WIT) showed no changes in plant height [
58
]. No change in
plant height was observed when potatoes were intercropped with maize in a tropical experiment in
Uganda [
59
]. An experiment in temperature-controlled cabinets showed an increase in plant height
only at radiations below 7.7 MJ m
2
day
1
[
60
]. The authors related the increase in plant height to
increased gibberellin activity under shade and a reduced assimilation of CO
2
. Table 2shows that in the
current study, the total solar irradiance never fell below 7.7 MJ m
2
day
1
, resulting in no dierence in
plant height as shown in Figure 2. In addition, the cultivar was a strong influence on the growth of the
potato [
61
]. At lower latitudes, two out of four shaded potato cultivars showed no changes in height.
One cultivar showed an increase in height at 30% shade, and the other cultivar at 50% shade [
22
]. The
authors ascribed this to a higher auxin level while the gibberellin level also increased, which promoted
Agronomy 2019,9, 330 10 of 21
stem growth. These results suggest that the cultivar plays a crucial role in height growth under shade.
Abu-Zinada and Mousa generally attributed height changes to genetic dierences in dierent potato
cultivars [
62
]. A study of a shade-eect on dierent phytohormones showed that due to the total
irradiance reduction and the associated change in the wavelength spectrum, changes in phytochrome
B occurred, which led to growth expansion [63].
3.2. Yield Determining Parameters and Yield
The tuber yield of potatoes is influenced by various factors such as nitrogen, cultivar, planting
density and spacing of planting tubers, climatic conditions and geographic location [
64
]. The four
main tuber yield determining growth parameters are the number of plants per hectare, number of
stems per plant, number of tubers per plant and average tuber weight per plant [
65
]. The experiment
revealed no changes in the number of plants per hectare under the dierent shade levels. This is due to
the fact that the shade was only established after potato emergence. As discussed above, a change in
solar total irradiance does not aect plant emergence directly; so, all planted potatoes were able to
emerge (Table 2).
Table 4.
Mean growth parameters for two potato plants under four dierent shade levels (0%, 12%, 26%
and 50%) evaluated in 2016 and 2017 at GS 405/625 (maximum foliage growth was reached); number
of stems per plant, number of tuber per plant, tuber mass per plant (g), foliage mass per plant (g),
foliage:tuber mass ratio (%), total mass per plant (g) and the harvest index (HI). SEM gives the standard
error of means.
Shade
Number
of Stems
per Plant
Number
of Tubers
per Plant
Tuber
Mass per
Plant
Foliage
Mass per
Plant
Foliage:Tuber
Mass
Ratio
Total
Mass per
Plant
HI
Year 2016
0% 2.50 10.50 44.47 48.21 1.32 92.68 0.45
12% 3.67 12.44 56.70 57.06 1.25 113.76 0.48
26% 4.17 12.83 49.81 75.45 2.45 125.25 0.36
50% 4.17 13.67 36.28 57.05 1.81 93.33 0.39
SEM 0.85 2.79 10.97 9.98 0.53 19.66 0.04
p-values $
Replicate 0.248 0.144 0.104 0.509 0.092 0.488 0.002
Shade 0.479 0.873 0.612 0.300 0.417 0.585 0.213
Year 2017
0% 4.83 19.00 a 103.60 a 79.37 0.95 b 182.97 a 0.54
12% 3.50 17.83 a 51.28 b 64.70 1.58 b 115.98 b 0.43
26% 3.17 13.17 ab 66.32 ab 62.15 1.00 b 128.47 ab 0.52
50% 3.33 9.00 b 32.68 b || 60.07 4.67 a 86.12 b 0.25
SEM 0.51 2.47 14.05 10.59 0.92 21.15 0.06
p-values $
Replicate 0.835 0.605 0.510 0.259 0.573 0.473 0.788
Shade 0.186 0.038 0.020 0.575 0.051 0.032 0.064
Means with identical letters within each column and year show non-significant dierences between the shade
levels of the single years (LSD test,
α
0.05).
SEM for 12% shade
±
3.08 due to missing value.
||
SEM for 50%
shade
±
15.53 due to missing value.
SEM for 50% shade
±
1.02 due to missing value.
$
p-value for the F-test of the
corresponding factor.
The dierent shading treatments had no significant impact on the number of stems per plant
in either year (2016 p=0.479 and 2017 p=0.186) (Table 4). Studies showed that the number of
stems depended on the size of the seed tubers or potato variety, but not on the given environmental
factors [
59
]. Genotype is also an influence on the number of produced stems [
66
]. Other sources also
show that the age of the planted tubers influences the number of stems. Young tubers produced one
stem and older tubers more stems [
67
]. A study conducted in the Philippines showed that the number
of stems per plant was not aected by a shade level of 54% [
56
]. Another study showed that number
Agronomy 2019,9, 330 11 of 21
of stems was determined by the number of sprouts, which is influenced by moisture, temperature
and structure of soil, and the number of plants per hectare [
66
]. Since the development of sprouts
into stems takes place below-ground, the shade only impacts soil temperature and moisture. In our
experiment, shade nets were installed after emergence. By this time sprouts were already developed.
In a real AFS where the distance between single trees is wide enough, and trees are pruned and/or
varieties with thinner crowns are used, their influence on soil temperature and moisture will be quite
small, therefore, this potential influence on sprouts and emergence can be neglected.
Every stem produces leaves, which are photosynthetically active. As described above no change
in the number of stems per plant was determined, therefore no eect on the foliage mass per plant
was observable. Even in a rather overcast year like 2016, plants did not compensate for the reduced
total solar irradiance with increased photosynthetically active biomass. However, shading is often
accompanied by a changed in the partitioning of dry matter between the source and sink organs. In 2017,
the number of tubers per plant were significantly reduced at a shade level of 50%. An experiment in the
United Kingdom with dierent potato cultivars showed that the cultivar ‘Estima’ showed no change in
time of tuber initiation up until to an artificial shading of 75%, while ‘Maris Piper’ showed delayed
tuber initiation in shading of 50% or more [
68
]. Since the cultivar remained the same every year, it is
suspected that the reduction in 2017 was caused by environmental factors (e.g., soil temperature or
moisture) other than irradiance reduction. On average, the number of tubers was reduced by ten
tubers per plant compared with the control. The studies of Sun and de Luca et al. showed a decrease in
the number of tubers per plant under 54% shade and attributed this to a shade induced increase in the
gibberellin (GA) content [
69
,
70
]. Studies with peas (Pisum sativum L.), lotus (Nelumbo spp. Adans.) and
Brassica spp. (L.) at dierent shade levels also showed a higher GA, therefore, the change of GA under
shade seems to be important for plant development, especially for tuber formation [
71
,
72
]. In potatoes,
higher content of GA has been shown to inhibit tuber formation [
20
,
47
,
50
,
58
]. Wurr et al. found a
reduced number of tubers under field conditions at a shade level of 70% in experimental sites in the
United Kingdom [73]. The authors attributed this to a reduced number of stolons, which was caused
by lower temperatures slowing down growth. The number of stolons formed indicate the final tuber
number. The number of tubers per plant is initiated in a very short time of ten days, the maximum
number is reached when shoot dry matter starts to decrease [
74
]. Ewing et al. observed that tuber
formation is promoted by soil moisture [
75
]. It is possible that in 2016, the naturally occurring low
total solar irradiance in combination with the shading provided more moisture than in 2017, leading to
a significant reduction in the number of tubers formed in 2017. The results show that less tubers with
lower weight were observed in 2017 under 50% shade compared with 0%. Pohjakalli stated that tuber
weight decreased about 80% at light intensities of 67% to 33% of full sunlight (which corresponds to
33% to 67% shade) [
76
]. A Philippine experiment showed that depending on the cultivar, under 54%
shade a reduction in dry matter weight of tubers can be determined between 0% and 80 % compared
with potatoes grown under full sunlight [
77
]. Under 74% light (corresponds to 26% shade) most of
the used cultivars showed a reduction of up to 29%. Under 30% shade, 3% more tubers were formed,
while under 50% shade there was an increase of about 55% [
78
]. In tomatoes, it has been observed that
during the bulking period, the radiation use eciency is highly related to fruit development because at
this time the canopy is fully developed [
79
]. In our experiment, we observed that the onset of bulking
occurred even under shaded conditions. During this time, in 2016 only the 0% and 12% shade, and in
2017 all treatments except for the 50% received adequate total solar irradiance for light saturation.
Our results showed no significant changes in the foliage mass per plant under the dierent shade
levels in any experimental year. Mean values ranged from 48.21 g (0%) to 75.45 g (26%) in 2016 and
60.07 g (50%) to 79.37 g (0%) in 2017 (Table 4). This corresponds well with the results for plant height
(Figure 2). The literature shows that the rate of foliage development is highly dependent on the cultivar.
Some cultivars grow faster than others. Also, the age of the seed tubers aects the foliage, while older
tubers enhance the foliage production [
56
]. Data on leaf area (LA) and specific leaf area (SLA) were
only available for 2017. However, no significant dierences between the shade treatments (LA p=0.772
Agronomy 2019,9, 330 12 of 21
and SLA p=0.963) were observed. Another experiment with 50% and 90% shaded potato leaves
showed that shading up to 50% also did not influence LA. However, shading levels of 90% showed a
decline in green leaf area. The authors postulated that shading reduces the transpiration, and so, the
distribution of cytokinins. Parts which are exposed to more light or less shade have a higher amount
of cytokinins, which can promote cell division, branching and leaf growth at shading levels >50% [
57
].
Foliage mass showed no change based on the tested shading treatment; however, in combination
with a decreased tuber mass in 2017, a shift to the above-ground biomass occurred. The ratio
changed from 0.95 in the control to 4.67 at the 50% shade level. This shift has been documented
in the literature [
42
]. Under low irradiance (2000 to 3000 lux or lower) a shift to the aboveground
biomass occurred, which was not observed under high irradiance (8000 to 16,000 lux). An increase in
above-ground biomass growth and an increase in below-ground biomass was also observed in maize
plants under 69% artificial shade [
80
]. In 2016, the potato plants received more total solar irradiance
during the phase without shading (until emergence) than in 2017 (17.70 and 14.87 MJ m
2
day
1
,
Table 2). Until onset of tuber initiation, most dry mass was partitioned in leaves and stems and after
this time in tubers. If light is reduced, the plant will use more assimilates for leaf mass than for tubers
to provide an adequate level of photosynthesis. This can be seen in Table 4. Leaf mass showed no
change under reduced light as the plant tried to provide an adequate amount of photosynthetically
active biomass, while the tuber mass was reduced.
The lower number of tubers in 2017 and the constant starch content is in line with results found
in the literature. Under shade, more sugar is needed to provide photosynthetically active leaf mass.
The large amount of sugar that is translocated in the tubers to form starch (because tubers are not
photosynthetically active) cannot be covered [81].
As mentioned above, potatoes grown under optimum conditions are able to form 22.8 g of biomass
per m
2
and day. Total mass per plant only showed significant changes in 2017. Biomass in the 50%
shading treatment was reduced by almost 100 g compared to the control. In 2017, the 0% shade
had a radiation use eciency (RUE) of 2.41 g MJ
1
which fits well with the values mentioned in the
literature [82]. The 50% shade had a RUE of 1.14 g MJ1.
The harvest index (HI) could not be determined for the core plot due to defoliation for facilitated
harvest. Therefore, the HI was determined at GS 405/625. Table 4shows that there was no influence
from shade prior to defoliation, neither in 2016 nor in 2017. Therefore, the trend of a decreasing HI
with increasing shade was observed.
Dry matter tuber yield (DMY, Figure 3) was significantly reduced by shade in 2016 (p=0.040) and
2017 (p=0.004), but not in 2015 (p=0.467). Under 26% shade DMY was significantly reduced by 44%
in 2016, while in 2017 a significant reduction of 44% occurred at 50% shade. This is related to the total
solar irradiance values in Table 2. The light saturation point of potatoes was reached in 2015 and 2017
in up to 26% shade. Since the plants were able to cover their need for total solar irradiance of 14.86
MJ m
2
day
1
during the shaded time, no significant changes were observable (Table 2). Both 2015
and 2017 were rather sunny years, while in contrast, spring 2016 had comparatively low total solar
irradiance. In June 2016, hot and dry phases alternated with rainfall events. Light saturation was
reached up until 12% shade (Table 2). These observations in combination with the already discussed
changes, suggest that the phase after emergence is crucial for yield formation, especially since the plant
has no photosynthetically active biomass before emergence that can use the light. Figure 3and Table 2
suggest that the light saturation point does not necessarily have to be met to generate adequate yields.
In 2015, even a total solar irradiance of 10.11 MJ m
2
day
1
from emergence to harvest showed no yield
changes. In 2017, the 50% shading received 10.07 MJ m
2
day
1
after emergence. This indicates that after
emergence, potatoes need a total solar irradiance >10.11 MJ. In 2016, the weather was very unsteady,
and yield was probably more influenced by temperature, which led to a cooling of the dam (soil piled
up to 30 cm). Under air temperatures near optimum, more tubers than shoots are built. When air
temperature increases, there is a shift to more shoot biomass than tuber mass [
83
]. If the air temperature
is below the base temperature there will be no growth, neither above-ground nor below-ground.
Agronomy 2019,9, 330 13 of 21
Agronomy 2019, 9, x FOR PEER REVIEW 13 of 21
four weeks resulted in variation in the day/night temperatures of the soil, which may be unfavorable
for tuber growth. A study by Sale with potatoes shaded at a level of 34% throughout the growing
period showed a 26–42% decrease in yield [85]. Cultivation of potato beneath stone pines (Pinus pinea
L.) reached tuber yields of 60-86% yield when compared with the national average yields [86].
Experiments with 30% and 50% shade have showed reduced yields by approximately 2–56%
[78]. In 2016 and 2017, we also observed a 50% reduction in yield under 50% shade.
Overall, the yield reductions in our experiment are comparable with the results of other
experiments, mostly from tropical countries where irradiance is in general much higher. Therefore,
it can be concluded that potatoes tolerate shade up to 26% even in the temperate zone and are able to
reach adequate yields.
Figure 3: Tuber Dry Matter Yield (Mg ha1) for the different shade levels (0%, 12%, 26% and 50%) in
the single experiment years. Black bars represent the standard error of mean. Means with identical
letters within one year show non-significant differences between the shade levels (LSD, α 0.05).
3.3. Quality Parameters of Tubers
With regard to the tuber fraction, an increased proportion of undersized tubers was found up
until 26% shade (Table 5). Under 50% shade the share of undersized potatoes (<30 mm) decreased
insignificantly. The table fraction (30–60 mm) also showed an insignificant increase at higher shade
levels. The 50% treatment had a share of 83.90%, while the control only had 74.83%. An insignificant
decreasing share with increasing shade was observed for the oversized fraction (>60 mm). The
literature indicates that tuber fractions are generally determined by numerous factors, but these do
not include light or shade [66].
The tuber size is mainly influenced by the size of the seed tubers and the growing conditions
during the growth of the seed tubers. The number of tubers m2 will be determined by the number of
formed stolons per stem. It has been shown that irradiance has no effect on this parameter. It is more
Figure 3.
Tuber Dry Matter Yield (Mg ha
1
) for the dierent shade levels (0%, 12%, 26% and 50%) in
the single experiment years. Black bars represent the standard error of mean. Means with identical
letters within one year show non-significant dierences between the shade levels (LSD, α0.05).
Demagante and Vander Zaag indicated that shading of 54% led to total dry matter yields similar
to those under full sunlight in the Philippines [
56
]. A series of experiments in The Netherlands,
Rwanda and Tunisia revealed that the tuber dry matter production is highly dependent on growth
duration, which is determined by temperature and daylength [
29
]. The Netherlands is located in a
zone with temperate climate and long-day conditions which fits best to the long-day requirement
of potatoes, Rwanda is located under short-day conditions with high temperatures, and Tunisia is
located in an interface zone between long- and short-day conditions with adequate temperatures
from October to April. Hence, as potato is a long-day plant requiring a maximum temperature of
>20
C, Rwanda with its short daylength and high temperature could be unfavorable, while in The
Netherlands and Tunis the day-length during the growing period is adequate. However, shading can
lower the temperature unfavorably and a short day-length hastens tuber initiation, which reduces the
final tuber yield [
84
]. Kuruppuarachchi showed that shading potatoes at a level of 50% by suspended
coconut leaves during the whole cropping season reduced tuber yield significantly by about 56% in
Sri Lanka [
58
]. He concluded that permanent shading compared with shade in the first four weeks
resulted in variation in the day/night temperatures of the soil, which may be unfavorable for tuber
growth. A study by Sale with potatoes shaded at a level of 34% throughout the growing period showed
a 26–42% decrease in yield [
85
]. Cultivation of potato beneath stone pines (Pinus pinea L.) reached
tuber yields of 60-86% yield when compared with the national average yields [86].
Experiments with 30% and 50% shade have showed reduced yields by approximately 2–56% [
78
].
In 2016 and 2017, we also observed a 50% reduction in yield under 50% shade.
Agronomy 2019,9, 330 14 of 21
Overall, the yield reductions in our experiment are comparable with the results of other
experiments, mostly from tropical countries where irradiance is in general much higher. Therefore,
it can be concluded that potatoes tolerate shade up to 26% even in the temperate zone and are able to
reach adequate yields.
3.3. Quality Parameters of Tubers
With regard to the tuber fraction, an increased proportion of undersized tubers was found up
until 26% shade (Table 5). Under 50% shade the share of undersized potatoes (<30 mm) decreased
insignificantly. The table fraction (30–60 mm) also showed an insignificant increase at higher shade
levels. The 50% treatment had a share of 83.90%, while the control only had 74.83%. An insignificant
decreasing share with increasing shade was observed for the oversized fraction (>60 mm). The literature
indicates that tuber fractions are generally determined by numerous factors, but these do not include
light or shade [66].
Table 5.
Mean of starch content (% DM), fractions of undersized (<30 mm), table sized (30–60 mm) and
oversized tubers (>60 mm) (%), the black spot bruise index (BSB, %) and the macronutrient content of
N, P, K, Ca, Mg and S (% DM) for the dierent shade levels (0%, 12%, 26% and 50%) averaged over the
three experiment years. SEM gives the standard error of means.
Starch Fraction OBSB N P K Ca Mg S
Shade Undersized Table Oversized
0% 70.45 4.39 74.83 19.18 16.80 1.30 0.21 2.62 0.03 0.13 0.19
12% 71.04 4.69 77.27 17.06 19.81 1.31 0.22 2.65 0.03 0.13 0.19
26% 70.06 7.84 76.48 12.62 19.70 1.36 0.22 2.70 0.03 0.13 0.18
50% 68.43 5.62 83.90 8.86 26.65 1.42 0.23 2.69 0.03 0.13 0.19
SEM 0.67 2.60 4.997 4.02 3.82 0.05 0.01 0.07 0.00 0.00 0.01
p-values $
Year 0.043 0.034 0.071 0.011 0.157 0.066
<0.0001
0.011
<0.0001
0.026 0.055
Shade 0.063 0.806 0.642 0.415 0.386 0.339 0.448 0.864 0.808 0.921 0.853
Year x Replicate 0.424 0.705 0.234 0.028 0.011 0.206 0.299 0.287 0.104 0.043 0.138
O
Data available for 2016 and 2017 only.
SEM for 26% shade
±
3.89% due to missing value.
Note: The SEM was
between 0 and 0.005, so rounding to two decimal places resulted in a SEM of zero.
$
p-value for the global F-test of
the corresponding factor.
The tuber size is mainly influenced by the size of the seed tubers and the growing conditions
during the growth of the seed tubers. The number of tubers m
2
will be determined by the number of
formed stolons per stem. It has been shown that irradiance has no eect on this parameter. It is more
sensitive to seed size, number of stems, temperature and drought. Studies by Tekalign and Hammes
showed that the cultivar also has an influence on the number of tubers. They showed that the fruit or
berry development aects the total and marketable tuber mass and the final tuber yield [
87
,
88
]. Berries
have an influence on the sink-distribution, leading to yield decreases at higher berry numbers.
Hence, tuber size distribution can be influenced by total tuber yield, seeding rate and size of
seed tubers, and the number of stems per plant [
66
]. As mentioned above, older tubers produce more
stems than younger tubers. The tuber size distribution is mainly determined by the date of initiation,
position and size of the stolon [
61
]. This shows that shade has no influence on tuber fraction. A study
by Knowles and Knowles showed that under the climate conditions of higher northern latitudes, less
tubers are formed, but the number of formed tubers of marketable size are higher than for potatoes
grown at lower northern latitudes [
89
]. More potatoes per plant were formed; however, they are
smaller, which ultimately led to lower yields. Other experiments have shown that a late harvest results
in a larger range of tuber sizes. No additional tubers will grow, but small tubers continue to grow in
the later stages of the growing season, resulting in the larger fraction for tuber size [61].
For most potato cultivars (being determinate), the vegetative plant growth ends with flowering
when maximum above-ground biomass has formed [
32
34
]. During flowering, the tuber formation is
completed and the potato plant begins to reallocate the sugars from the above-ground parts to the
tubers, where starch is formed. After this, only the tuber mass increases and the quality of the tuber
Agronomy 2019,9, 330 15 of 21
changes. The maximum starch yield can be found when half of the leaves are dead and stems begin to
die [
74
]. Due to the simultaneous harvesting in all shade treatments (date determined after the 0%
shade treatment) and the delay in ripening (days from senescence initiation to harvest, Table 3) in
2016, the potatoes had less time to reallocate their sugars from leaves to tubers and build up starch.
While the eect of the year (p=0.043) was significant, the eect of the shading treatment was not
(p=0.063). So, the year should show a statistical dierence. A weather-induced delay in development
increased the share of smaller tubers in comparison to larger tubers. Smaller tubers have a lower sink
demand for sugars that are reallocated from leaves and stored as starch in tubers. This explains the
year eect on the starch content. Across years, the starch content showed no significant dierences
between the shade levels and the unshaded control. An experiment with 34% and 57% shaded
tomatoes (Solanum lycopersicum L.) showed that there was no influence on glucose by dierent levels
of irradiance [
88
]. Other studies with shaded tomatoes showed that shade had no influence on final
sugar content [89]. This suggests that the starch content in potatoes is also not aected by shade.
Across years, no eect on black spot bruise (BSB) was detectable. None of the macronutrients
showed significant treatment eects across years (Table 5) and values were in the given range of values
reported in the literature [90].
The above results showed that the influence of shade on plant growth and tuber yield depends
on total solar irradiance but also on other factors (e.g., cultivar, soil temperature, and soil moisture).
To minimize the shade, which is a controllable eect, dierent management techniques can be used.
If the trees are still small in the first years of an AFS and need grow first, there will be little or no shade
influence on the understory crop in the first years. To obtain high yields, potatoes can be integrated in
an AFS in the first years without yield reduction. In addition, a large distance between the single trees,
the pruning of the trees, the direction of tree strips from north-to-south and the choice of trees with
thinner crowns can keep the shade influence at a minimum. Additionally, shade does not remain static
on the field during the whole growing period (as in our experimental setup). In a real AFS, the shading
varies during the day and moves on a parabolic shape over the crop as the solar position changes, so,
the influence of shade in a real AFS can be regarded as smaller than in our experimental setup.
3.4. Prospects for AFS: Potential Total Solar Irradiance in the Temperate Zone of North-European Latitudes
Theoretically, potatoes need an average total irradiation of 14.86 MJ m
2
day
1
to reach the given
light saturation point of 400
µ
mol m
2
s
1
PAR to maximize yields. To reach this light saturation
under shading, the required total irradiance would amount to 16.89 MJ m
2
day
1
at 12% shading,
20.08 MJ m
2
day
1
under 26% shade and 29.72 MJ m
2
day
1
under 50% shade. Figure 4shows
the hypothetical growing regions in Europe with an assumed limited available irradiance, taking
mean total solar irradiance data from 1984–2013 into account [
30
]. Under a generalized, assumed
potato growing season in Europe (30
N, 20
W to 75
N, 40
E) from 1 March to 31 October (DOY
60–304) and without taking any other climatic growth factors except for irradiance into account, potato
cultivation under 50% shade would be possible up to 35
N without yield losses (Figure 4). For 26%
shade, cultivation would theoretically be possible from 35
to 45
N, for 12% shade from 45
to 55
N,
and from 55
to the northern polar circle at 66
N, which is the geographical limit of potato cultivation.
In years with high total solar irradiance, the borders for cultivation under shade will shift to the north,
while in years with lower irradiance levels the borders will shift to the south. Possible reasons for this
shift include less clouds, low variation in the inclination of the earth’s axis, high solar activity, low air
pollution or weather phenomena (e.g., fog) or depending on the elevation of the potato cultivation site
(in higher elevations, a greater amount of total solar irradiance reaches the surface).
Agronomy 2019,9, 330 16 of 21
Agronomy 2019, 9, x FOR PEER REVIEW 16 of 21
Figure 4. Total solar irradiance (MJ m2 day1) during the potential potato growing season in Europe
(01 March–31 October, 1984–2013) and the theoretical limits of cultivation under shade values of 0%,
12%, 26% and 50% (0.5 × 0.5 m grid, data source NASA [91]).
4. Conclusions
Potatoes are known as being a shade tolerant crop. The results of this study indicated that the
DMY was only significantly reduced in 50% shade in years with high irradiance, while a significant
reduction at a shade level of 26% only occurred in years with low irradiance. Shading had no
significant influence on starch content. Other quality parameters were also not significantly
influenced by shade. Yield determining factors like the number of plants per hectare, number of stems
per plant, number of tubers per plant and tuber mass per plant were slightly affected by shade. As
long as shade is the only influencing factor and no below-ground factors, such as competition for
water and nutrients occur, potatoes can be cultivated at latitudes lower than 35°N under 50% shade,
while with every increase of 10°N the accepted shade levels have to be halved. Therefore, potatoes
can be recommended as an understory crop in AFS up to a shading level of 26% without significant
yield and quality reductions under the given total solar irradiance in Southwestern Germany.
However, depending on the year (low-irradiance or high-irradiance), this can shift latitudinally in
one direction or the other.
Author Contributions: Conceptualization, K.S.; methodology, V.S.S., S.M. and K.S.; software, V.S.S and J.H.;
validation, V.S.S. S.M., J.H. and S.G.-H.; formal analysis, V.S.S., S.M. and S.G.H.; investigation, V.S.S.; data
curation, V.S.S; writing—original draft preparation, V.S.S., S.M. and S.G.-H.; writing—review and editing, V.S.S.,
S.M., J.H. and S.G.-H.; supervision, S.G.-H.; project administration, V.S.S, S.M. and S.W.; funding acquisition,
K.S.
Funding: This research was funded by the Federal Ministry of Food and Agriculture (BMEL) through the project
agency Fachagentur Nachwachsende Rohstoffe (FNR) e.V. within the project “Agro-Wertholz: Agroforstsysteme
mit Mehrwert für Mensch und Umwelt”, grant number 2201514.
Acknowledgments: The authors would like to thank the staff of the LTZ Augustenberg for making this joint
research project possible and Melanie Hinderer for data collection. We also thank Cameron Anderson and
Willem Molenaar for English proofreading.
Figure 4.
Total solar irradiance (MJ m
2
day
1
) during the potential potato growing season in Europe
(01 March–31 October, 1984–2013) and the theoretical limits of cultivation under shade values of 0%,
12%, 26% and 50% (0.5 ×0.5 m grid, data source NASA [91]).
4. Conclusions
Potatoes are known as being a shade tolerant crop. The results of this study indicated that the
DMY was only significantly reduced in 50% shade in years with high irradiance, while a significant
reduction at a shade level of 26% only occurred in years with low irradiance. Shading had no significant
influence on starch content. Other quality parameters were also not significantly influenced by shade.
Yield determining factors like the number of plants per hectare, number of stems per plant, number of
tubers per plant and tuber mass per plant were slightly aected by shade. As long as shade is the only
influencing factor and no below-ground factors, such as competition for water and nutrients occur,
potatoes can be cultivated at latitudes lower than 35
N under 50% shade, while with every increase of
10
N the accepted shade levels have to be halved. Therefore, potatoes can be recommended as an
understory crop in AFS up to a shading level of 26% without significant yield and quality reductions
under the given total solar irradiance in Southwestern Germany. However, depending on the year
(low-irradiance or high-irradiance), this can shift latitudinally in one direction or the other.
Author Contributions:
Conceptualization, K.S.; methodology, V.S.S., S.M. and K.S.; software, V.S.S and J.H.;
validation, V.S.S. S.M., J.H. and S.G.-H.; formal analysis, V.S.S., S.M. and S.G.H.; investigation, V.S.S.; data curation,
V.S.S; writing—original draft preparation, V.S.S., S.M. and S.G.-H.; writing—review and editing, V.S.S., S.M., J.H.
and S.G.-H.; supervision, S.G.-H.; project administration, V.S.S, S.M. and S.W.; funding acquisition, K.S.
Funding:
This research was funded by the Federal Ministry of Food and Agriculture (BMEL) through the project
agency Fachagentur Nachwachsende Rohstoe (FNR) e.V. within the project “Agro-Wertholz: Agroforstsysteme
mit Mehrwert für Mensch und Umwelt”, grant number 2201514.
Acknowledgments:
The authors would like to thank the staof the LTZ Augustenberg for making this joint
research project possible and Melanie Hinderer for data collection. We also thank Cameron Anderson and Willem
Molenaar for English proofreading.
Conflicts of Interest: The authors declare no conflict of interest.
Agronomy 2019,9, 330 17 of 21
Appendix A
Table A1.
Date, product, trade name, amount and active ingredients of plant protection agent and also
the Mode of Action (MoA) after HRAC (Herbicide Resistance Action Committee), FRAC (Fungicide
Resistance Action Committee) and IRAC (Insecticide Resistance Action Committee) for all three years.
Date Product Trade Name Amount and Active Ingredient MoA
2015
18 May H 2.0 kg ha1Artist (Bayer AG) 240 g kg1flufenacet,
175 g kg1metribuzin
K3
C1
10 June F 2.0 kg ha1Ridomil Gold (Syngenta
AG)
40 g kg1metalaxyl-M,
640 g kg1mancozeb
A1
M3
10 June I 0.3 L ha1Biscaya (Bayer AG) 240 g L1thiacloprid 4A
25 June F
2 kg ha
1
Acrobat Plus WG (BASF SE)
90 g kg1dimethomorph,
600 g kg1mancozeb
H5
M3
10 July F
2 kg ha
1
Acrobat Plus WG (BASF SE)
90 g kg1dimethomorph,
600 g kg1mancozeb
H5
M3
10 July I 0.3 L ha1Biscaya (Bayer AG) 240 g L1thiacloprid 4A
24 July F
2 kg ha
1
Acrobat Plus WG (BASF SE)
90 g kg1dimethomorph,
600 g kg1mancozeb
H5
M3
6 August F
2 kg ha
1
Acrobat Plus WG (BASF SE)
90 g kg1dimethomorph,
600 g kg1mancozeb
H5
M3
2016
6 May H 3 L ha1Boxer (Syngenta AG) 800 g L1prosulfocarb N
6 May H
0.3 kg ha
1
Sencor WG (Syngenta AG)
700 g kg1metribuzin C1
2 June I 0.3 L ha1Biscaya (Bayer AG) 240 g L1thiacloprid 4A
20 June F
2 kg ha
1
Acrobat Plus WG (BASF SE)
90 g kg1dimethomorph,
600 g kg1mancozeb
H5
M3
28 June I 0.3 L ha1Biscaya (Bayer AG) 240 g L1thiacloprid 4A
28 June F
2 kg ha
1
Acrobat Plus WG (BASF SE)
90 g kg1dimethomorph,
600 g kg1mancozeb
H5
M3
8 July F 1.5 L ha1Infinito (Bayer SE) 62.5 g L1fluopicolide,
625,0 g L1propamocarb-HCl
B5
F4
15 July F 1.6 L ha1Infinito (Bayer SE) 62.5 g L1fluopicolide,
625.0 g L1propamocarb-HCl
B5
F4
15 July I 0.3 L ha1Biscaya (Bayer AG) 240 g L1thiacloprid 4A
3 August H 0.8 L ha1Quickdown (Ceminova
Deutschland GmbH & Co. KG) 24.2 g L1pyraflufen E14
3 August H
2 L ha
1
Toil (Ceminova Deutschland
GmbH & Co. KG) 836 g L1rapeseed oil methyl ester
2017
5 May H 2.0 kg ha1Artist (Bayer AG) 240 g kg1flufenacet,
175 g kg1metribuzin
K3
C1
2 June F 2.0 kg ha1Ridomil Gold (Syngenta
AG)
40 g kg1metalaxyl-M,
640 g kg1mancozeb
A1
M3
2 June I 0.3 L ha1Biscaya (Bayer AG) 240 g L1thiacloprid 4A
16 June F
2 kg ha
1
Acrobat Plus WG (BASF SE)
90 g kg1dimethomorph,
600 g kg1mancozeb
H5
M3
16 June I 0.3 L ha1Biscaya (Bayer AG) 240 g L1thiacloprid 4A
5 July I 0.06 L ha1Coragen (DuPont) 200 g L1chlorantraniliprole 28
5 July F
2 kg ha
1
Acrobat Plus WG (BASF SE)
90 g kg1dimethomorph,
600 g kg1mancozeb
H5
M3
9 August H 2.5 L ha1Reglone (Syngenta AG) 374 g L1diquat dibromide D
H herbicide, F fungicide, I insecticide.
References
1. Horwith, B. A role for intercropping in modern agriculture. BioScience 1985,35, 286–291. [CrossRef]
2. Power, J.F.; Follett, R.F. Monoculture. Sci. Am. 1987,256, 78–87. [CrossRef]
3.
Gliessman, S.R. Multiple cropping systems: A basis for developing an alternative agriculture. In US Congress
OIce of Technology Assessment. Innovative Biological Technologies for Lesser Developed Countries: Workshop
Proceedings; Congress of the USA: Washington, DC, USA, 1985; pp. 69–83.
Agronomy 2019,9, 330 18 of 21
4.
Thevathasan, N.V.; Gordon, A.M.; Simpson, J.A.; Reynolds, P.E.; Price, G.; Zhang, P. Biophysical and
ecological interactions in a temperate tree-based intercropping system. J. Crop Improv.
2004
,12, 339–363.
[CrossRef]
5.
Kremen, C.; Miles, A. Ecosystem services in biologically diversified versus conventional farming systems:
Benefits, externalities, and trade-os. Ecol. Soc. 2012,17. [CrossRef]
6. Nair, P.R. The coming of age of agroforestry. J. Sci. Food Agric. 2007,87, 1613–1619. [CrossRef]
7. Nair, P.R. Classification of agroforestry systems. Agrofor. Syst. 1985,3, 97–128. [CrossRef]
8.
Raintree, J.B. Agroforestry pathways: Land tenure, shifting cultivation and sustainable agriculture. Unasylva
1986,38, 2–15.
9. Nair, P.R. An Introduction to Agroforestry; Springer Science & Business Media: Berlin, Germany, 1993.
10. Vandermeer, J.H. The Ecology of Intercropping; Cambridge University Press: Cambridge, UK, 1992.
11.
Montagnini, F.; Nair, P.K.R. Carbon sequestration: An underexploited environmental benefit of agroforestry
systems. Agrofor. Syst. 2004,61, 281–295.
12.
Rigueiro-Rodr
í
guez, A.; Fern
á
ndez-N
ú
ñez, E.; Gonz
á
lez-Hern
á
ndez, P.; McAdam, J.H.; Mosquera-Losada, M.R.
Agroforestry systems in Europe: Productive, ecological and social perspectives. In Agroforestry in Europe;
Springer: Berlin/Heidelberg, Germany, 2009; pp. 43–65.
13.
Roces-Diaz, J.V.; Rolo, V.; Kay, S.; Moreno, G.; Szerencsits, E.; Fagerholm, N.; Plieninger, T.; Torralba, M.;
Graves, A.; Giannitsopoulos, M.; et al. Exploring the Relationships among Bio-Physical and Socio-Cultural
Ecosystem Services of Agroforestry Systems across Europe. In Proceedings of the Agroforestry as Sustainable
Land Use, Nijmegen, The Netherlands, 28–30 May 2018; EURAF: Nijmegen, The Netherlands, 2018.
14.
Elevitch, C.; Mazaroli, D.; Ragone, D. Agroforestry standards for regenerative agriculture. Sustainability
2018,10, 3337. [CrossRef]
15.
Gao, L.; Xu, H.; Bi, H.; Xi, W.; Bao, B.; Wang, X.; Bi, C.; Chang, Y. Intercropping competition between apple
trees and crops in agroforestry systems on the Loess Plateau of China. PLoS ONE
2013
,8, e70739. [CrossRef]
16.
Zhang, W.; Ahanbieke, P.; Wang, B.J.; Xu, W.L.; Li, L.H.; Christie, P.; Li, L. Root distribution and interactions
in jujube tree/wheat agroforestry system. Agrofor. Syst. 2013,87, 929–939. [CrossRef]
17.
Newman, S.M.; Bennett, K.; Wu, Y. Performance of maize, beans and ginger as intercrops in Paulownia
plantations in China. Agrofor. Syst. 1997,39, 23–30. [CrossRef]
18.
Khybri, M.L.; Gupta, R.K.; Ram, S.; Tomar, H.P.S. Crop yields of rice and wheat grown in rotation as intercrops
with three tree species in the outer hills of Western Himalaya. Agrofor. Syst. 1992,17, 193–204. [CrossRef]
19.
Ceccon, E. Production of bioenergy on small farms: A two-year agroforestry experiment using Eucalyptus
urophylla intercropped with rice and beans in Minas Gerais, Brazil. New For. 2008,35, 285–298. [CrossRef]
20.
Friday, J.B.; Fownes, J.H. Competition for light between hedgerows and maize in an alley cropping system in
Hawaii, USA. Agrofor. Syst. 2002,55, 125–137. [CrossRef]
21.
Rahman, M.; Bari, M.; Rahman, M.; Ginnah, M.; Rahman, M. Screening of Potato Varieties under Litchi
Based Agroforestry System. Am. J. Exp. Agric. 2016,14, 1–10. [CrossRef]
22.
Mariana, M.; Hamdani, J.S. Growth and yield of Solanum tuberosum at medium plain with application of
paclobutrazol and paranet shade. Agric. Agric. Sci. Procedia 2016,9, 26–30. [CrossRef]
23.
Pleijel, H.; Danielsson, H.; Vandermeiren, K.; Blum, C.; Colls, J.; Ojanperä, K. Stomatal conductance and
ozone exposure in relation to potato tuber yield—Results from the European CHIP Programme. Eur. J. Agron.
2002,17, 303–317. [CrossRef]
24.
Kareem, I.A. Rattle Tree (ALBIZIA LEBBECK) Eects on Soil Properties and Productivity of Irish Potato
(SOLANUM TOBEROSUM) on The Jos Plateau, Nigeria. Ph.D. Thesis, Environmental Resource Planning,
University of Jos, Jos, Nigeria, 2007.
25.
Nadir, S.W.; Ng’etich, W.K.; Kebeney, S.J. Performance of crops under Eucalyptus tree-crop mixtures and its
potential for adoption in agroforestry systems. Aust. J. Crop Sci. 2018,12, 1231. [CrossRef]
26.
Li, L.; Ljung, K.; Breton, G.; Schmitz, R.J.; Pruneda-Paz, J.; Cowing-Zitron, C.; Cole, B.J.; Ivans, L.J.;
Pedmale, U.V.; Jung, H.-S.; et al. Linking photoreceptor excitation to changes in plant architecture. Genes Dev.
2012,26, 785–790. [CrossRef]
27.
Abdrabbo, M.A.; Farag, A.A.; Abul-Soud, M. The intercropping eect on potato under net house as adaption
procedure of climate change impacts. Appl. Res. 2013,5, 48–60.
Agronomy 2019,9, 330 19 of 21
28.
Gawronska, H.; Dwelle, R.B.; Pavek, J.J. Partitioning of photoassimilates by potato plants (Solanum tuberosum
L.) as influenced by irradiance: II. Partitioning patterns by four clones grown under high and low irradiance1.
Am. J. Potato Res. 1990,67, 163–176. [CrossRef]
29.
Kooman, P.L.; Fahem, M.; Tegera, P.; Haverkort, A.J. Eects of climate on dierent potato genotypes 2.
Dry matter allocation and duration of the growth cycle. Eur. J. Agron. 1996,5, 207–217. [CrossRef]
30.
NASA Atmospheric Science Data Center. Available online: https://eosweb.larc.nasa.gov/sse/global/text/lat_
tilt_radiation (accessed on 24 December 2017).
31.
Smith, J.; Pearce, B.D.; Wolfe, M.S. Reconciling productivity with protection of the environment: Is temperate
agroforestry the answer? Renew. Agric. Food Syst. 2013,28, 80–92. [CrossRef]
32.
Barbeau, C.D.; Wilton, M.J.; Oelbermann, M.; Karagatzides, J.D.; Tsuji, L.J. Local food production in a
subarctic Indigenous community: The use of willow (Salix spp.) windbreaks to increase the yield of
intercropped potatoes (Solanum tuberosum) and bush beans (Phaseolus vulgaris). Int. J. Agric. Sustain.
2018
,
16, 29–39. [CrossRef]
33.
Wilton, M.J.; Karagatzides, J.D.; Tsuji, L.J. Nutrient Concentrations of Bush Bean (Phaseolus vulgaris L.) and
Potato (Solanum tuberosum L.) Cultivated in Subarctic Soils Managed with Intercropping and Willow (Salix
spp.) Agroforestry. Sustainability 2017,9, 2294. [CrossRef]
34.
BSV Saaten–Blühmischung M2 FAKT Maßnahme E2.1 und E2.2. Available online: https:
//bsv-saaten.de/bluehmischungen-und-bienenweiden/foerderprogramme-1/fakt-1/naturplus-fakt-
m2-zr-100-bluehmischung-m2-fuer-fakt-massnahme-e2-1- und-e2-2.html (accessed on 24 November 2018).
35.
Röhrig, M.; Sander, R.; eV Geschäftsstelle, I. Interaktive Online-Beratung mit dem Informationssystem
Integrierte Pflanzenproduktion (ISIP). In Proceedings of the GIL Jahrestagung, Potsdam, Germany, 6–8 March
2006; pp. 221–224.
36.
Bundesministerium für Ernährung. Landwirtschaft und Verbraucherschutz (BMELV). Gute fachliche Praxis im
Pflanzenschutz-Grundsätze für die Durchführung; BMELV: Bonn, Germany, 2010.
37.
Janssen, W. Online irrigation service for fruit and vegetable crops at farmers site. In Proceedings of the
9th EMS Annual Meeting, 9th European Conference on Applications of Meteorology (ECAM) Abstracts,
Toulouse, France, 28 September–2 October 2009; Available online: http://meetings.copernicus.org/ems2009/
(accessed on 5 September 2017).
38.
Hack, H.; Gall, H.; Klemke, T.H.; Klose, R.; Meier, U.; Stauss, R.; Witzenberger, A. The BBCH scale for
phenological growth stages of potato (Solanum tuberosum L.). In Proceedings of the 12th Annual Congress of
the European Association for Potato Research, Paris, France, 1993; pp. 153–154.
39.
Schulz, V.S.; Munz, S.; Stolzenburg, K.; Hartung, J.; Weisenburger, S.; Mastel, K.; Möller, K.; Claupein, W.;
Grae-Hönninger, S. Biomass and Biogas Yield of Maize (Zea mays L.) Grown under Artificial Shading.
Agriculture 2018,8, 178. [CrossRef]
40.
Mushagalusa, G.N.; Ledent, J.-F.; Draye, X. Shoot and root competition in potato/maize intercropping: Eects
on growth and yield. Environ. Exp. Bot. 2008,64, 180–188. [CrossRef]
41.
Bodlaender, K.B.A. Influence of Temperature, Radiation and Photoperiod on Development and Yield; Wageningen
University: Gelderland, The Netherlands, 1963.
42.
Cao, W.; Tibbitts, T.W. Leaf emergence on potato stems in relation to thermal time. Agron. J.
1995
,87, 474–477.
[CrossRef]
43.
Sprenger, H.; Rudack, K.; Schudoma, C.; Neumann, A.; Seddig, S.; Peters, R.; Zuther, E.; Kopka, J.;
Hincha, D.K.; Walther, D.; et al. Assessment of drought tolerance and its potential yield penalty in potato.
Funct. Plant Biol. 2015,42, 655–667. [CrossRef]
44.
Fern
á
ndez, S.D.M.; Aguilar, R.M.; Moreno, Y.S.; P
é
rez, J.E.R.; Le
ó
n, M.T.C.; Saldaña, H.L. Growth and sugar
content of potato tubers in four maturity stages under greenhouse conditions. Rev. Chapingo Ser. Hortic.
2018,24, 53–67. [CrossRef]
45.
McMaster, G.S.; Wilhelm, W.W. Growing degree-days: One equation, two interpretations. Agric. For. Meteorol.
1997,87, 291–300. [CrossRef]
46.
Bundessortenamt. Richtlinien für die Durchführung von Landwirtschaftlichen Sortenversuchen; Bundessortenamt:
Hannover, Germany, 2000.
47. Bundessortenamt. Beschreibende Sortenliste Kartoel—2017; Bundessortenamt: Hannover, Germany, 2017.
48.
Homann, G. VDLUFA-Methodenbuch Band I: Die Untersuchung von Boeden; Loseblattsammlung;
VDLUFA-Verlag: Darmstadt, Germany, 1991; ISBN 3-922712-42-8.
Agronomy 2019,9, 330 20 of 21
49. Janßen, E. VDLUFA-Methodenbuch Band VII: Umweltanalytik, 3rd ed.; VDLUFA: Darmstadt, Germany, 2003.
50.
Bassler, R. VDLUFA-Methodenbuch, Band III: Die Chemische Untersuchung von Futtermitteln; 3. Aufl., 2.
Ergänzungslieferung 1988 und 3. Ergänzungslieferung 1993; VDLUFA-Verlag: Darmstadt, Germany, 1988.
51.
Amtsblatt, D.E.U. Verordnung (EG) Nr. 152/2009 der Kommission vom 27.01. 2009 zur Festlegung der
Probenahmeverfahren und Analysemethoden für die amtliche Untersuchung von Futtermitteln. L
2009
,
54, 130.
52.
Heinecke, A. Beitrag zur Ermittlung der Biochemischen Ursachen der Schwarzfleckigkeit bei Kartoeln;
Georg-August-Universität Göttingen: Gottingen, Germany, 2007.
53.
Baty, F.; Ritz, C.; Charles, S.; Brutsche, M.; Flandrois, J.-P.; Delignette-Muller, M.-L. A toolbox for nonlinear
regression in R: The package nlstools. J. Stat. Softw. 2015,66, 1–21. [CrossRef]
54. Fox, J. Nonlinear Regression and Nonlinear Least Squares; Wiley: New York, NY, USA, 2002.
55.
Demagante, A.L.; Zaag, P.V. The response of potato (Solanum spp.) to photoperiod and light intensity under
high temperatures. Potato Res. 1988,31, 73–83. [CrossRef]
56.
Sale, P.J.M. Productivity of vegetable crops in a region of high solar input. II. Yields and eciencies of water
use and energy. Aust. J. Agric. Res. 1973,24, 751–762. [CrossRef]
57.
Kuruppuarachchi, D.S.P. Intercropped potato (Solanum spp.): Eect of shade on growth and tuber yield in
the northwestern regosol belt of Sri Lanka. Field Crops Res. 1990,25, 61–72. [CrossRef]
58. Ebwongu, M.; Adipala, E.; Ssekabembe, C.K.; Kyamanywa, S.; Bhagsari, A.S. Eect of intercropping maize
and Solanum potato on yield of the component crops in central Uganda. Afr. Crop Sci. J.
2001
,9, 83–96.
[CrossRef]
59.
Menzel, C.M. Tuberization in potato at high temperatures: Interaction between temperature and irradiance.
Ann. Bot. 1985,55, 35–39. [CrossRef]
60.
Struik, P.C.; Vreugdenhil, D.; Haverkort, A.J.; Bus, C.B.; Dankert, R. Possible mechanisms of size hierarchy
among tubers on one stem of a potato (Solanum tuberosum L.) plant. Potato Res.
1991
,34, 187–203. [CrossRef]
61.
Abu-Zinada, I.A.; Mousa, W.A. Growth and productivity of dierent potato varieties under Gaza Strip
conditions. Int. J. Agric. Crop Sci. 2015,8, 433.
62.
Stamm, P.; Kumar, P.P. The phytohormone signal network regulating elongation growth during shade
avoidance. J. Exp. Bot. 2010,61, 2889–2903. [CrossRef] [PubMed]
63.
Arsenault, W.J.; LeBlanc, D.A.; Tai, G.C.; Boswall, P. Eects of nitrogen application and seedpiece spacing on
yield and tuber size distribution in eight potato cultivars. Am. J. Potato Res. 2001,78, 301–309. [CrossRef]
64. Putz, B. Kartoeln: Züchtung, Anbau, Verwertung; Behr’s Verlag: Hamburg, Germany, 1989.
65.
Struik, P.C.; Haverkort, A.J.; Vreugdenhil, D.; Bus, C.B.; Dankert, R. Manipulation of tuber-size distribution
of a potato crop. Potato Res. 1990,33, 417–432. [CrossRef]
66.
Delaplace, P.; Brostaux, Y.; Fauconnier, M.-L.; du Jardin, P. Potato (Solanum tuberosum L.) tuber physiological
age index is a valid reference frame in postharvest ageing studies. Postharvest Biol. Technol.
2008
,50, 103–106.
[CrossRef]
67.
O’Brien, P.J.; Firman, D.M.; Allen, E.J. Eects of shading and seed tuber spacing on initiation and number of
tubers in potato crops (Solanum tuberosum). J. Agric. Sci. 1998,130, 431–449. [CrossRef]
68.
de Lucas, M.; Davi
è
re, J.-M.; Rodr
í
guez-Falc
ó
n, M.; Pontin, M.; Iglesias-Pedraz, J.M.; Lorrain, S.;
Fankhauser, C.; Bl
á
zquez, M.A.; Titarenko, E.; Prat, S. A molecular framework for light and gibberellin
control of cell elongation. Nature 2008,451, 480. [CrossRef]
69.
Sun, T. Gibberellin-GID1-DELLA: A Pivotal Regulatory Module for Plant Growth and Development.
Plant Physiol. 2010,154, 567–570. [CrossRef]
70.
Garc
í
a-Martinez, J.L.; Gil, J. Light regulation of gibberellin biosynthesis and mode of action. J. Plant Growth
Regul. 2001,20, 354–368. [CrossRef]
71.
Kamiya, Y.; Garc
í
a-Mart
í
nez, J.L. Regulation of gibberellin biosynthesis by light. Curr. Opin. Plant Biol.
1999
,
2, 398–403. [CrossRef]
72.
Wurr, D.C.E.; Hole, C.C.; Fellows, J.R.; Milling, J.; Lynn, J.R.; O’Brien, P.J. The eect of some environmental
factors on potato tuber numbers. Potato Res. 1997,40, 297–306. [CrossRef]
73.
Kolbe, H.; Stephan-Beckmann, S. Development, growth and chemical composition of the potato crop
(Solanum tuberosum L.). II. Tuber and whole plant. Potato Res. 1997,40, 135–153. [CrossRef]
74.
Ewing, E.E.; Wareing, P.F. Shoot, Stolon, and Tuber Formation on Potato (Solanum tuberosum L.) Cuttings in
Response to Photoperiod. Plant Physiol. 1978,61, 348–353. [CrossRef] [PubMed]
Agronomy 2019,9, 330 21 of 21
75.
Pohjakalli, O. On the eect of the intensity of light and length of day on the energy economy of certain
cultivated plants. Acta Agric. Scand. 1950,1, 153–175. [CrossRef]
76.
Saha, R.R.; Sarker, A.Z.; Talukder, A.H.M.M.R.; Akter, S.; Golder, P.C. Variability in Growth and Yield of
Potato Varieties at Dierent Locations of Bangladesh. Bangladesh Soc. Hortic. Sci. 2016,2, 101–110.
77.
H
é
bert, Y.; Guingo, E.; Loudet, O. The Response of Root/Shoot Partitioning and Root Morphology to Light
Reduction in Maize Genotypes. Crop Sci. 2001,41, 363–371. [CrossRef]
78.
Geigenberger, P.; Kolbe, A.; Tiessen, A. Redox regulation of carbon storage and partitioning in response to
light and sugars. J. Exp. Bot. 2005,56, 1469–1479. [CrossRef]
79.
Manrique, L.A.; Kinry, J.R.; Hodges, T.; Axness, D.S. Dry Matter Production and Radiation Interception of
Potato. Crop Sci. 1991,31, 1044–1049. [CrossRef]
80.
Dam, J.V.; Kooman, P.L.; Struik, P.C. Eects of temperature and photoperiod on early growth and final
number of tubers in potato (Solanum tuberosum L.). Potato Res. 1996,39, 51–62.
81.
Streck, N.A.; de Paula, F.L.M.; Bisognin, D.A.; Heldwein, A.B.; Dellai, J. Simulating the development of field
grown potato (Solanum tuberosum L.). Agric. For. Meteorol. 2007,142, 1–11. [CrossRef]
82.
Sale, P.J.M. Eect of shading at dierent times on the growth and yield of the potato. Aust. J. Agric. Res.
1976,27, 557–566. [CrossRef]
83.
Loewe, V.; Delard, C. Stone pine (Pinus pinea L.): An interesting species for agroforestry in Chile. Agrofor. Syst.
2019,93, 703–713. [CrossRef]
84.
Tekalign, T.; Hammes, P.S. Growth and productivity of potato as influenced by cultivar and reproductive
growth—I. Stomatal conductance, rate of transpiration, net photosynthesis, and dry matter production and
allocation. Sci. Hortic. 2005,105, 13–27. [CrossRef]
85.
Tekalign, T.; Hammes, P.S. Growth and productivity of potato as influenced by cultivar and reproductive
growth—II. Growth analysis, tuber yield and quality. Sci. Hortic. 2005,105, 29–44. [CrossRef]
86.
Knowles, N.R.; Knowles, L.O. Manipulating stem number, tuber set, and yield relationships for northern-and
southern-grown potato seed lots. Crop Sci. 2006,46, 284–296. [CrossRef]
87.
Kolbe, H.; Stephan-Beckmann, S. Development, growth and chemical composition of the potato crop
(Solanum tuberosum L.). I. leaf and stem. Potato Res. 1997,40, 111–129. [CrossRef]
88.
Kläring, H.-P.; Krumbein, A. The eect of constraining the intensity of solar radiation on the photosynthesis,
growth, yield and product quality of tomato. J. Agron. Crop Sci. 2013,199, 351–359. [CrossRef]
89.
Gautier, H.; Diakou-Verdin, V.; B
é
nard, C.; Reich, M.; Buret, M.; Bourgaud, F.; Poëssel, J.L.; Caris-Veyrat, C.;
G
é
nard, M. How does tomato quality (sugar, acid, and nutritional quality) vary with ripening stage,
temperature, and irradiance? J. Agric. Food Chem. 2008,56, 1241–1250. [CrossRef] [PubMed]
90.
Burlingame, B.; Mouill
é
, B.; Charrondi
è
re, R. Nutrients, bioactive non-nutrients and anti-nutrients in potatoes.
J. Food Compos. Anal. 2009,22, 494–502. [CrossRef]
91.
NASA POWER Data Access Viewer. Available online: https://power.larc.nasa.gov/data-access-viewer/
(accessed on 1 November 2018).
©
2019 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access
article distributed under the terms and conditions of the Creative Commons Attribution
(CC BY) license (http://creativecommons.org/licenses/by/4.0/).
... Therefore, the OAVS is mostly planted with shad-tolerant, compact, high yield and high efficiency crop types and varieties. For example, it is suitable to plant corn, sorghum, potato, taro, yam and beans between the boards and under the eaves, and shady crops such as Chinese medicinal materials can be planted under the columns [11][12][13][14]. ...
... The solar altitude angle in eastern China is low in the winter, and the solar radiation intensity inside the system is relatively weak, while the opposite is true in the summer. Our results support previous findings that the AVS has a cooling function [41] but has a large impact on daylighting capacity and thus agricultural production effectiveness (PV + kiwifruit [42], PV + coffee [43], PV + potato [14]). In conclusion, the effectiveness of the OAVS in reducing solar radiation intensity level depends on the time of day and solar angle under the condition of a certain spatial structure and shape. ...
Article
Full-text available
In order to clarify the temporal and spatial changes in the internal photothermal environment in an open-field agrivoltaic system (OAVS), this paper took the OAVS in eastern China as the research object and divided the internal area into the southern area, middle area and northern area, according to the spatial structure. Further, a photothermal environment test was conducted in the above three areas in the summer and winter. The results showed that the summer average daylight rate (Rm-avg) in the middle area was 66.6%, while the Rm-avg in the other two areas was about 20%, with no significant difference. In the winter, the light environment in the southern area was slightly better, and the Rm-avg in the above three areas was 26.4%, 24.7% and 19.7%, respectively. On the whole, the relationship between the thermal environmental factors and the solar radiation intensity was consistent. Further, a 3D model of an OAVS was established using Autodesk Ecotect Analysis 2011, and the internal light environment was simulated. Compared with the measured values, the relative error was less than 10%, which verified the reliability of the OAVS model. Then, the model was used to reveal the temporal and spatial changes in the light environment of the OAVS. The simulation results showed that the daylighting rate in the summer from the ground to the height of the fig canopy inside the system was 20.7% to 61.5%. In the winter, the daylighting rate from the ground to the height of the fig canopy inside the system was 17.7% to 36.4%. The effectiveness of the OAVS in reducing the level of solar radiation intensity depended on the time of day and the angle of the sun. At the spatial scale, due to the strong consumption of light by photovoltaic panels, there was a strong horizontal and vertical light environment gradient inside the system. In conclusion, the photothermal environment research of an OAVS based on Autodesk Ecotect Analysis 2011 can not only provide a basis for agricultural production and structural design such as span, height and the laying density of PV panels, but also expand its application to regions with different latitudes and longitudes and specific climates.
... From both trials, the checkerboard pattern resulted in a more uniform crop growth due to the homogeneous light distribution. In Germany [144], compared the production of potato under 12%, 26%, and 50% shading. Flowering, as well as time to senescence were delayed, but this did not affect tuber development. ...
... • Increased yield under shading or climatic conditions [78,79,47,36,80,81,82,18,13] • ongoing projects [6,16] • High price-performance ratio [17,83], but negative effects on plant weight [84] Page 5 of 27 AUTHOR SUBMITTED MANUSCRIPT -ERL-115278.R2 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 A c c e p t e d M a n u s c r i p t Sorghum 501 3 L ...
Article
Full-text available
The utilization of cropland and rooftops for solar photovoltaics (PV) installation holds significant potential for enhancing global renewable energy capacity with the advantage of dual land-use. This study focuses on estimating the global area suitable for agrivoltaics (PV over crops) and rooftop PV by employing open-access data, existing literature and simple numerical methods in a high spatial resolution of 10 km x 10 km. For agrivoltaics, the suitability is assessed with a systematic literature review on crop-dependent feasibility and profitability, especially for 18 major crops of the world. For rooftop PV, a non-linear curve-fitting method is developed, using the urban land cover to calculate the PV-suitable built-up areas. This method is then verified by comparing the results with open access building footprints. The spatially resolved suitability assessment unveils 4.64 million km2 of global PV-usable cropland corresponding to a geographic potential of about 217 Terawatts (TW) in an optimistic scenario and 0.21 million km2 of rooftop-PV suitable area accounting for about 30.5 TW maximum installable power capacity. The estimated suitable area offers a vast playground for energy system analysts to undertake techno-economic assessments, and for technology modellers and policy makers to promote PV implementation globally with the vision of net-zero emissions in the future.
... For instance, the financial return is expected to be higher than financial yield from growing bioenergy crops (Böhm and Tietz, 2022). Regarding environmental co-benefits of photovoltaic panels, effects of shadowing on evapotranspiration (Willockx et al., 2022) while not impeding crop (Arenas-Corraliza et al., 2019) or potato growth (Schulz et al., 2019) have been reported. Participants with a rather opposing dismissive attitude bring rather little substantiated arguments, e.g. the classical "not-in-my-backyard" arguments or the perception of own role as "feeder" in society. ...
Article
Full-text available
The achievement of the Sustainable Development Goals is being pursued worldwide. While energy production and consumption are to be oriented towards renewable energies, ecologically and socially sustainable agriculture is also a target for science and society. Due to the expansion of renewable energies, agricultural land in particular is the focus of various interest groups, from food production to energy production. In this interdisciplinary study, we show the opportunities and limits of joint synergies from the nexus of food production, energy production, energy consumption, biodiversity protection and social acceptance of renewable energies in a scenario. Biodiversity agriphotovoltaics, i.e. agriphotovoltaics in combination with biodiversity protection measures, such as flower strips, can make a valuable contribution to promoting biotope connectivity in addition to significant energy production. We show this in a GIS-based regional assessment for Lower Saxony in northern Germany. This rough spatial assessment is followed by a modelling of energy production and consumption during the cultivation of a characteristic agricultural field in the loess region of Lower Saxony. Our focus here is on the possibilities of using cable electricity or battery storage for carrying out the cultivation. In an accompanying survey of farmers regarding the use of agriphotovoltaics, we collected and evaluated their prior knowledge, experiences, and attitudes towards this technology. Finally, we show which advantages agriphotovoltaics and electrified agricultural machinery can also have for the sustainable transformation of agriculture and which challenges exist for a truly sustainable use of these technologies.
... The tubers organ as a sink will decreased in the formation of carbohydrates from photosynthesis in the leaf organ (as a source). [26] stated that the given of shading with different percentage levels was result the number of branches and tubers per plant of potato lower than no shading. The increasing of the percentage levels of shading will decreased of the the number of tubers per plant of Solanum tuberosum. ...
Article
Full-text available
Eleutherine palmifolia (L.) Merr is one of the horticultural that may be utilized as a medicinal plant. It contained flavonoid and anthocyanin. The production of bioactive content on E. palmifolia was affected by light intensity. The objective of this study was to investigate the effect of different shading levels on the physiological response and the yield of Dayak onions. This experiment was conducted at Sukoharjo, District of Ngaglik, Region of Sleman, Yogyakarta, Indonesia, from May to October 2020. This experiment was arranged in a randomized block design non factorial. Three treatments were given, namely no shading, shading 55%, and shading 75%. Each treatment was repeated five times. The result revealed that shade had a varied influence on E. palmifolia’s physiology and yield. Shading 55% and 75% produced the number of tiller and bulb of E. palmifolia lower than no shading. The fresh bulb weight of E. palmifolia in the range between 34.9 – 38.5 g plant-1. The chlorophyll a, chlorophyll b, chlorophyll total, chlorophyll a/b ratio, and chlorophyll b/a ratio content on E. palmifolia’s bulb were not affected by different shading given. Shading 75% gave the highest total flavonoid and anthocyanin content of E. palmifolia’s bulb was 19.77% and 28.10% than no shading, respectively.
... Geophytes are divided into two types, first which produce evergreen plants that usually come from the tropics, and second, those that grow leaves only at certain seasons [11]. Geophytes have several advantages, such as being drought resistant [12][13][14], shade tolerant [15][16][17][18][19], easier to maintain [20], and more resistant towards animals than fruits. Moreover, some geophytes such as sweet potatoes, cassava, 'beneng' taro (Xanthosoma undipes K.Koch), 'porang' (Amorphophallus muelleri), and Jerusalem artichoke (Helianthus tuberosus L.) is thriving in the marginal land or poor soil [21,22]. ...
Article
Full-text available
Climate change affects farming activities, leading to a greater impact on food security. Indonesia has the potential for a wide variety of geophytes that can be utilized for food security. However, geophytes are underutilized crops, and our staple food is still dominated by rice. This study aims to explore the potential and obstacles in geophytes development for strengthening food resilience in Indonesia. The methods used in this research were surveying and interviewing 30 “porang” and “beneng” taro farmers between January 2022 to April 2022 to determine the potential of tuber development and its market regarding climate change. The research was carried out in Ciamis and Tasikmalaya Regency, West Java, Indonesia. The result shows that geophytes are low maintenance which helps in reducing GHG emissions. Unlike grains, geophytes are commonly shade-tolerant, more tolerant to drought stress, and resilient on marginal land. However, the difficulties in the geophytes crops development are the unstable prices, and the market sometimes is still very segmented and obscure. Meanwhile, to start planting geophytes on a large scale has an environmental problem and a significant investment risk for farmers, especially farmers with limited land and capital. Therefore, enrichment of geophytes planting under the state land stands may be an option for mitigating climate change and overcoming food security.
Article
Full-text available
The effects of population growth, climate change, and global economic expansion are concerning for food and energy security. For a nation like India, the agrivoltaic system is a center of photovoltaic and agricultural production as it is better suited to achieving the United Nation’s sustainable development goals, especially SDG 7 (Affordable and clean energy) and SDG 11 (Sustainable cities and communities). The agrivoltaic solar power plant system generated 12667.15 kWh from September 2017 to August 2018 with a system efficiency of 11.22%. The height of agrivoltaic structure has been determined 3 m to perform agricultural operations underneath it. A shade-tolerant tomato crop has been cultivated in an open field and an agrivoltaic structure using four different types of land treatments in the proposed experimental study. The land equivalent ratio is obtained greater than open field treatments up to 1.65 for all treatments and environments. The benefit/cost ratio has been determined to be as high as 2.59 with the lowest payback period of 7.90 years. Crop productivity under agrivoltaic structures has been higher in all treatments up to 15.09% as compared to open field agriculture. Agrivoltaic technology is a novel and sustainable technology for farmers in the future. Graphical abstract
Article
Full-text available
Plants detect competitors in shaded environments by perceiving a reduction in photosynthetically active radiation (PAR) and the reduction between the red and far‐red light (R:FR) ratio and blue photons. These light signals are detected by phytochromes and cryptochromes, which trigger shade avoidance responses such as shoot and petiole elongation and lead to increased susceptibility to pathogen attack. We studied morphological, anatomical, and photosynthesis differences in potato plants ( Solanum tuberosum var. Spunta) exposed to sunlight or simulated shade in a greenhouse. We found that simulated shade strongly induced stem and internode elongation with a higher production of free auxin in stems and a lower production of tubers. The mesophyll thickness of the upper leaves of plants grown in simulated shade was lower, but the epidermis was wider compared with the leaves of plants cultivated in sunlight. In addition, the photosynthesis rate was lower in the upper leaves exposed to nonsaturated irradiances and higher in the basal leaves at saturated irradiances compared with control plants. RNA‐seq analysis showed that 146 and 155 genes were up‐ and downregulated by shade, respectively. By quantitative reverse transcription polymerase chain reaction, we confirmed that FLOWERING LOCUS T (FT), WRKY‐like , and PAR1b were induced, while FLAVONOL 4‐SULFOTRANSFERASE was repressed under shade. In shaded plants, leaves and tubers were more susceptible to the necrotrophic fungus Botrytis cinerea attack. Overall, our work demonstrates configurational changes between growth and defense decisions in potato plants cultivated in simulated shade.
Article
Penelitian ini bertujuan untuk mengetahui pengaruh tingkat naungan yang berbeda terhadap karakter pertumbuhan dan biomassa tanaman bawang Dayak. Penelitian ini dilakukan pada bulan Mei hingga September 2020 (5 bulan) di Desa Sukoharjo, Kecamatan Ngaglik, Kabupaten Sleman, Yogyakarta. Penelitian ini menggunakan Rancangan Acak Kelompok (RAK) faktor tunggal dengan perlakuan berbagai tingkat naungan yang terdiri dari 3 taraf perlakuan, yaitu tanpa naungan (0%), naungan 55%, dan naungan 75%. Perlakuan diulang lima kali sehingga terdapat 15 satuan percobaan. Setiap unit percobaan terdiri dari 10 tanaman sehingga total terdapat 150 tanaman. Pengamatan dilakukan pada suhu dan kelembaban udara, umur bertunas, tinggi tanaman, jumlah daun, luas daun, dan komponen biomassa tanaman. Hasil penelitian menunjukkan bahwa pemberian naungan 55% dan 75% menghasilkan tinggi tanaman dan luas daun bawang Dayak yang lebih tinggi dan luas dibandingkan tanpa naungan. Naungan 75% memberikan tinggi tanaman 37.1% lebih tinggi, sedangkan naungan 55% memberikan luas daun 41.6% lebih luas dibandingkan tanpa naungan. Jumlah daun dan komponen biomassa tanaman tidak dipengaruhi oleh pemberian naungan. Bawang Dayak dapat ditanam di lahan dengan persentase naungan 55 – 75%. Kata kunci: Eleutherine palmifolia, intensitas cahaya rendah, keragaan, suhu
Article
Potentilla anserina L. is a widely distributed medicinal and edible perennial herb, which has a strong adaptability to the environment, thus it is necessary to explore its growth and physiological status under different shadings for further developing and utilization. In this study, P. anserina from the dry area of Northern Shaanxi was took as material, different shading treatments including full light (S0), 30% (S1), 50% (S2) and 70% shading (S3) were adopted, to analyze the effects on its growth and physiological status. In the results, under different shading levels, the growth indexes of P. anserina reached the maximum under 30% shading, and the water content of the aboveground part showed increasing first then decreasing. The content of chlorophyll a and b in leaves increased with shading degree, while the chlorophyll a/b decreased with the increase of shading degree. In addition, the photosynthetic parameters of P. anserina under different shading were different ( P <0.05). The net photosynthetic rate (Pn) curve showed single-peak, and reached the maximum under S1 treatment, which was positively correlated with the diurnal variation trend of intercellular CO 2 concentration (Ci). Under the treatment of S0 and S1, the diurnal variation trend of transpiration rate was the same, showing a “double peak” curve, and the stomatal conductance of all treatments showed a gradual downward trend. Moreover, the diurnal variation trend of transpiration rate under S0 and S1 treatments was the same, showing a double-peak curve, and the stomatal conductance of all treatments showed a gradually decreasing trend. In conclusion, P. anserina was proved to be a shade tolerant ground cover, and could exert the maximum ecological benefits under 30% shade environment. This is conducive to its further planting, promotion and utilization.
Article
Full-text available
Agroforestry, as an improved cropping system, offers some advantages in terms of yield, biodiversity, erosion protection or habitats for beneficial insects. It can fulfill the actual sustainability requirements for bioenergy production like food supply, nature conservation, stop of deforestation. However, competition between intercropped species for water, nutrients and light availability has to be carefully considered. A field trial with shading nets was conducted in Southwest Germany to evaluate the influence of different shading levels (−12, −26, and −50% of full sunlight) on biomass growth, dry matter yield and biogas quality parameters of maize (Zea mays L., cv. ‘Corioli CS’). Shading the plants causes a delayed development, a reduction in height and leaf area index and a slower senescence. Dry matter yields were reduced about 18%, 19%, and 44% compared to 21.05 Mg ha−1 year−1 at full sunlight. Biogas and methane yields were also significantly reduced, the 50% shading treatment showed a reduction of 45% for both parameters. Further, shading led to higher crude protein and crude ash contents. If silage maize is grown under shade, the yields of dry matter, biogas, and methane are nearly halved under 50% shade. Cultivation up to 26% shading could be possible.
Article
Full-text available
Agroforestry is increasingly being recognized as a holistic food production system that can have numerous significant environmental, economic, and social benefits. This growing recognition is paralleled in the USA by the budding interest in regenerative agriculture and motivation to certify regenerative practices. Current efforts to develop a regenerative agriculture certification offer an opportunity to consider agroforestry’s role in furthering regenerative goals. To understand this opportunity, we first examine how agroforestry practices can advance regenerative agriculture’s five core environmental concerns: soil fertility and health, water quality, biodiversity, ecosystem health, and carbon sequestration. Next, we review a subset of certification programs, standards, guidelines, and associated scientific literature to understand existing efforts to standardize agroforestry. We determine that development of an agroforestry standard alongside current efforts to certify regenerative agriculture offers an opportunity to leverage common goals and strengths of each. Additionally, we determine that there is a lack of standards with measurable criteria available for agroforestry, particularly in temperate locations. Lastly, we propose a framework and general, measurable criteria for an agroforestry standard that could potentially be implemented as a standalone standard or built into existing agriculture, forestry, or resource conservation certification programs.
Preprint
Full-text available
Agroforestry is increasingly being recognized as a holistic food production system that can have numerous significant environmental, economic, and social benefits. This growing recognition is paralleled in the U.S. by the budding interest in regenerative agriculture and motivation to certify regenerative practices. Current efforts to develop a regenerative agriculture certification offer an opportunity to consider agroforestry’s role in furthering regenerative goals. To understand this opportunity, we first examine how agroforestry practices can advance regenerative agriculture’s five core environmental concerns: soil fertility and health, water quality, biodiversity, ecosystem health, and carbon sequestration. Next, we review a subset of certification programs, standards, guidelines, and associated scientific literature to understand existing efforts to standardize agroforestry. We determine that development of an agroforestry standard alongside current efforts to certify regenerative agriculture offers an opportunity to leverage common goals and strengths of each. Additionally, we determine that there is a lack of standards with measurable criteria available for agroforestry, particularly in temperate locations. Lastly, we propose a framework and general, measurable criteria for an agroforestry standard that could potentially be implemented as a standalone standard or built into existing agriculture, forestry, or resource conservation certification programs.
Article
Full-text available
Competition for scarce land resources between food crops and trees has intensified and there is need for a balance to accommodate both, either in rotation programs or in agroforestry systems. Successful intercropping of Eucalyptus trees with crops is hindered by competition for light between trees and crops, soil nutrient dynamics and the allelopathy from Eucalyptus trees. The aim of this study was to establish and assess the performance of farm crops under Eucalyptus grandis tree plantations so as to evaluate the potential of the trees for agroforestry. The crops i.e. common beans, Irish potatoes and black Nightshade (Solanum villosum) were planted along rows of Eucalyptus trees (3 and 6 years) in plot sizes of 4 m by 2 m adopting a factorial arrangement in RCBD with open field as control. The assessment of the performance of the crops was mainly on; germination, Leaf Area Index (LAI) and possible yields. In addition, the amount of photosynthetically active radiation (PAR) reaching the understory crops was measured. From the results, Germination of crops under trees was higher than in the open field. Germination was delayed under trees when compared to those grown in the open field. The age differences in the Eucalyptus tree plantations had no significant effect on the amount of PAR reaching the understory crops. The leaf area index (LAI) of the understory crops was significantly affected by Eucalyptus trees of different ages (p < .001). The crops grown under Eucalyptus trees gave higher yields compared to crops grown in open fields but not fertilized. The effect of Eucalyptus plantation age significantly affected the yields of beans and potatoes (p < .001) but not nightshade; therefore, the vegetable can be grown under Eucalyptus tree shade without reduction in yield. Irish potato and common beans are potential crops for agroforestry with Eucalyptus trees but need further research as their yields were low and had selected disease incidences.
Article
Full-text available
The sugar content in the potato tuber determines the optimum harvest time, the type of processing and its handling during storage. The aim of this study was to evaluate the growth and yield of four potato varieties under greenhouse conditions and to determine the soluble sugar content of this tuber at different maturity stages. For this, potatoes (5 ± 1 g) of four varieties were sampled at four maturity stages, from the beginning of tuberization to physiological maturity, in which the soluble sugar content was determined by high-performance liquid chromatography (HPLC). The Alpha variety had the longest growth cycle (1,230 degree days, P ≤ 0.05), while Mondial had the highest yield (380 g, P ≤ 0.05), 75, 31 and 31 % more than Vivaldi, Alpha and Atlantic, respectively, attributed to the highest average tuber weight (61 g, P ≤ 0.05). The highest content of sucrose, glucose and fructose (7.65, 2.22 and 0.37 mg·g-1, respectively) was recorded 21 days after the start of tuberization, quantities that decreased (P ≤ 0.05) during tuber development. Atlantic stands out with the lowest levels (P ≤ 0.05) of sucrose, glucose, fructose and total sugars in the different stages of tuber maturity. Average tuber weight was negatively correlated (P ≤ 0.05) with the contents of sucrose, reducing sugars (glucose and fructose) and total sugars.
Article
Full-text available
To ease food insecurities in northern Canada, some remote communities started gardening initiatives to gain more access to locally grown foods. Bush beans (Phaseolus vulgaris L.) and potatoes (Solanum tuberosum L.) were assessed for N, P, K, Mg, and Ca concentrations of foliage as indicators of plant nutrition in a calcareous silty loam soil of northern Ontario James Bay lowlands. Crops were grown in sole cropping and intercropping configurations, with comparisons made between an open field and an agroforestry site enclosed with willow (Salix spp.) trees. Foliage chemical analysis of the sites revealed an abundance of Ca, adequacies for Mg and N, and deficiencies in P and K. Intercropping bean and potato did not show significant crop–crop facilitation for nutrients. The agroforestry site showed to be a superior management practice for the James Bay lowland region, specifically for P. The agroforestry site had significantly greater P for bean plant (p = 0.024) and potato foliage (p = 0.002) compared to the open site. It is suspected that the presence of willows improve plant available P to bean and potatoes by tree root—crop root interactions and microclimate enhancements.
Article
Full-text available
Pinus pinea is native to the Mediterranean basin, being an interesting species due to its high-value edible pine nuts (prices between €20 and €45 kg⁻¹), its ability to adapt to differing environmental conditions and its relative fast growth in Chile. The species was introduced to Chile more than one century ago by European migrants, who used it for dune stabilization, soil improvement and livestock shading. Agroforestry systems including stone pine and agricultural crops (forage oat and potatoes) and sheep grazing for mutton production were tested in two experimental plots located in El Carmen, Biobío region. The plots were evaluated during 5 years after planting. Crop yields were lower than the region average, reaching nearly 60% of national average yields of forage oat and 66–86% of potato. Forage production in these plots was not enough to sustain permanent grazing; however, sheep grazing in regulated periods contributes to mutton production. Grazing reduces weed and shrub growth, fire risk and the cost of periodic mechanical cleaning. Stone pine annual growth in height and diameter at collar height (ground level) were on average 50 and 2.5 cm, respectively, and was found to be a suitable species for agroforestry systems. Net present value was almost seven times higher in the agroforestry system than in pure stone pine plantations; therefore, this system can contribute to the local and national economy.
Article
Full-text available
Addressing food security with local and sustainable food production is a key requirement for supporting a globally sustainable agricultural system. Food insecurity is prevalent in Indigenous communities in Canada, especially in rural and remote regions of northern (subarctic and arctic) Canada. Further, climate change has disproportionately impacted subarctic and arctic regions worldwide − surface air temperatures are now more favourable for agricultural activities − offering the potential for local food production under ambient conditions. The objectives of the present study were to evaluate bush bean (Phaseolus vulgaris L.) and potato (Solanum tuberosum L.) intercrops grown over a two-year period in two sites (treed, windbreak-lined with native willow, Salix. spp.; and non-treed, or open) in the subarctic Indigenous community of Fort Albany First Nation, Ontario, Canada. Intercrops grown in the windbreak-lined site produced significantly greater (p < 0.05) yields and biomass than the open site. An analysis of soil chemistry (pH, P, K, Mg, NO3, NH4 and total N) showed that with some local amendments such as offal and bone meal, both the windbreak-lined and open sites can support continued agricultural use. This study informs Indigenous communities across subarctic regions of the world that climate change not only brings challenges, but also opportunities, such as potentially sustainable local food production.
Article
The responses of eight cultivars; to nitrogen fertilizer and spacing treatments were examined from 1992 to 1996. Experiments were carried out at the Agriculture and Agri-Food Canada Research Farm in Harrington, Prince Edward Island. Four nitrogen rates and three seedpiece spacings were compared. Total and Canada #1 yields were investigated for patterns of responses of the individual cultivars to both treatments, and possible interactions between the treatments. Response surfaces were presented for all cultivars. Nitrogen application increased both total and Canada #1 yields for all cultivars. Increasing rates of nitrogen showed linear and/or quadratic trends for both total and Canada #1 yields in all cultivars, whereas responses to spacing treatments showed linear patterns for total yield, but little change for Canada #1 yields in seven of the eight cultivars. No interactions were detected between fertilizer and spacing treatments for total or Canada #1 yields. Generalized regression equations representing the responses of the cultivars to fertilizer and spacing treatments for both total and Canada #1 yields were also derived. These equations should be useful as a guideline for determining appropriate nitrogen rates and seedpiece spacing for the eight cultivars tested. Ratios of Canada #1 to total yield were higher after initial application of nitrogen (0 to low rate) in all but one cultivar. However, only two cultivars showed higher ratios as nitrogen rate was further increased. Wider seedpiece spacing yielded higher ratios of Canada #1 in five of the eight cultivars tested.