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agronomy
Article
Organic Manure Coupled with Inorganic Fertilizer:
An Approach for the Sustainable Production of Rice
by Improving Soil Properties and Nitrogen
Use Efficiency
Anas Iqbal 1, Liang He 1, Aziz Khan 1, Shangqin Wei 1, Kashif Akhtar 2, Izhar Ali 1,
Saif Ullah 1, Fazal Munsif 3, Quan Zhao 1and Ligeng Jiang 1, *
1Key Laboratory of Crop Cultivation and Farming Systems College of Agriculture, Guangxi University
Nanning 530004, China; anasiqbalagr@gmail.com (A.I.); lianghe@gxu.edu.cn (L.H.);
azizkhanturlandi@gmail.com (A.K.); wwssqq63@163.com (S.W.); Izharali48@gmail.com (I.A.);
saif2012aup@gmail.com (S.U.); zq503730540@163.com (Q.Z.)
2Institute of Nuclear Agricultural Sciences, College of Agriculture and Biotechnology, Zhejiang University,
Hangzhou 310058, China; kashif@zju.edu.cn
3Department of Agronomy, Amir Muhammad Khan Campus Mardan, the University of Agriculture,
Peshawar Khyber Pakhtunkhwa 25000, Pakistan; munsiffazal@yahoo.com
*Correspondence: jiang@gxu.edu.cn; Tel.: +86-13768311375
Received: 30 September 2019; Accepted: 16 October 2019; Published: 18 October 2019
Abstract:
The current farming system is heavily reliant on chemical fertilizers, which negatively affect
soil health, the environment, and crop productivity. Improving crop production on a sustainable
basis is a challenging issue in the present agricultural system. To address this issue, we assumed that
the combined use of organic manure and inorganic nitrogen (N) fertilizers can improve rice grain
yield and soil properties without the expense of the environment. This study explores the combined
effects of cattle manure (CM), poultry manure (PM), and chemical fertilizer (CF) on soil properties,
rice growth, physiology, and grain yield and quality. Six treatments in the following combinations
were included: T
1
—no N fertilizer; T
2
—100% CF; T
3
—60% CM +40% CF; T
4
—30% CM +70% CF;
T
5
—60% PM +40% CF; and T
6
—30% PM +70% CF. Results showed that across the seasons, treatment
T
6
increased the net photosynthesis rate, total biomass, grain yield, and amylose content by 23%, 90%,
95%, and 10%, respectively, compared with control. This increment in net photosynthetic rate and
growth was the result of 24%, 14%, 19%, and 20% higher total root length, root surface area, root
volume, and root diameter, respectively. Improvements in these attributes further enhanced the grain
yield and nitrogen use efficiency of rice. No significant difference between T
4
and T
6
was observed.
The correlation analysis also confirmed that root morphological traits were positively correlated
with grain yield, N uptake, and biomass accumulation. Similarly, improvement in grain yield and
NUE was also associated with improved soil properties, i.e., bulk density, soil porosity, soil organic
carbon, and total N under combined organic and inorganic N fertilizers treatment. Conclusively, the
integration of 30% N from PM or CM with 70% N from CF (urea) is a promising option not only
for higher grain yield and quality of rice but also for improved soil health. This study provides a
sustainable nutrient management strategy to improve crop yield with high nutrient use efficiency.
Keywords: Rice; root morphology; root-to-shoot ratio; soil organic carbon; biomass accumulation
1. Introduction
Recently, the increase in world population has resulted in a demand for more food; hence,
enhancing crop production is challenging work in present conventional farming systems [
1
,
2
].
Agronomy 2019,9, 651; doi:10.3390/agronomy9100651 www.mdpi.com/journal/agronomy
Agronomy 2019,9, 651 2 of 20
Conventional farming increases crop productivity, but strongly depends on chemical fertilizer (CF)
input and pesticides [
2
,
3
], and thus adversely affects soil quality and nutrient use efficiency (NUE) [
4
,
5
].
Despite the excessive use of mineral N fertilizer, a huge amount is lost and/or unavailable to plants in
most present farming systems. Applied N losses produces serious environmental problems, such as
water pollution and enhanced greenhouse gas emission, and particularly leads to degradation of soil
physiochemical and biological properties [
6
–
8
]. Furthermore, the overuse of CF causes soil acidification
and reduced soil microbial biomass, which ultimately reduces soil fertility [
9
,
10
]. Moreover, sole
mineral fertilization enhances the decomposition of soil organic matter (SOM), which leads to degraded
soil structure and declined soil aggregation and loss of nutrients through leaching, fixation, and
greenhouse gases emission [
11
,
12
]. Additionally, the use of CF on soil over long periods of time may
affect its capability to maintain healthy crop growth and productivity [
13
]. Therefore, our continued
overreliance on CF for crop production is not sustainable.
Accordingly, there is growing interest in developing NUE for advanced farming to decrease
the associated problems without compromising crop productivity. Currently, the most challenging
issue is to enhance grain yield, in order to feed the population on a sustainable basis with the least
cost to the environment [
14
,
15
]. Previous investigations have recommended several N fertilizer
management strategies, including optimal CF dosage [
16
], side-deep placement [
17
], and slow-release
fertilization [
18
]. However, the development of these practices was restricted because they are
labor-intensive and there is a lack of improved technology [
19
]. In contrast to CF application, organic
manure, a byproduct derived from animal waste, has been utilized to increase crop productivity [
20
,
21
].
The application of organic manure has multiple benefits due to the balanced supply of both macroand
micronutrients. This can enhance soil nutrients due to enhanced soil microbial activity, improving
soil physical and chemical properties [
22
,
23
]. The slow and gradual release of N from organic manure
is an advantage over sole chemical fertilization for achieving higher NUE, grain yield, and quality
of rice [
24
,
25
]. Furthermore, manure fertilization not only provides soil organic carbon (SOC), but
the residual effect of manure fertilization is higher soil nutrient availability for crop growth and
development [
26
]. The alkaline nature of organic manure is the main reason for increased soil pH,
while mineral N nitrification can develop protons to decrease soil pH [
27
]. However, organic fertilizer
is quite low in nutrient content and its nutrient releasing ability is also low to meet crop requirements
in a short time, hence the sole application of manure could not meet the usual intensity of agriculture
production. Organic manure coupled with synthetic fertilizers has been confirmed to be a better
approach to improve and sustain soil fertility and crop production than the sole application of mineral
or organic manure [28,29].
Rice (Oryza sativa L.) is the third most consumed staple food by half of the world’s population
and nearly 60% of China’s population [
30
,
31
]. China is a major rice producer and consumer and is
ranked first in the world [
32
]. The increasing population has created a demand for 20% more rice
production by 2030 to meet domestic need [
33
]. In China, rice producers mainly rely on the heavy use
of CF to increase crop yield. In 2013, the N fertilization amount in China was 33.50Tg, accounting for
33% of the world’s N fertilizer application [
33
]. In order to enhance NUE and decrease the harmful
impacts of mineral fertilizer on soil properties and improve rice production and quality, sustainable
management practices are needed. However, there have been limited studies evaluating the influence
of organic manure (from cattle or poultry) with inorganic fertilizer (urea) on paddy soil properties, rice
production, root morphological traits and its relationship with N uptake, biomass production, and
grain yield, especially under Ultisols in southern China.
Importantly, many investigations were performed on a weight basis rather than the application of
manure on specific N concentration integrated with chemical fertilizer in rice [
34
,
35
]. Furthermore, we
used the Zhenguiai, an inbred cultivar which is widely cultivated in southern China, Guangxi Province
for rice noodles. This cultivar is characterized by short growth duration and a good morphological
structure with high grain filling percentage [
36
]. It was assumed for the current work that organic
manure coupled with inorganic fertilizers could improve soil properties and root growth, which in
Agronomy 2019,9, 651 3 of 20
turn has a positive correlation with N uptake, biomass production, and grain yield. The specific
objective of the present research was to determine the most effective and economical combination of
organic and inorganic N fertilizer to improve crop growth, N uptake, grain yield, and quality of the
Zhenguiai cultivar.
2. Materials and Methods
2.1. Experimental Site and Weather Details
The experiment was performed at the experimental station of Guangxi University, Nanning, China
(22
◦
49
0
12” N, 108
◦
19
0
11” E; 75 m) during the early season (March to July) and late season (August
to December) of 2018. The climate is categorized as subtropical with a monsoon zone, with a mean
annual precipitation of 1190 mm. The ranges of mean maximum and minimum temperatures are
30.9–36.7
◦
C and 23.8–27.3
◦
C during the early season and 23.32–27.34
◦
C and 11.5–18.1
◦
C in the late
the season. The early season received 660 mm rain fall, and the late season 335 mm. The range of
average relative humidity is 78.5–86.6% in the early season and 72.8–90.0% in the late season (Table 1).
The soil (0–20 cm) is Ultisols, which is acidic with a 5.90 (H
2
O), comprising 17.0 g kg
−1
organic matter,
1.35 g kg
−1
total N (TN), 23.5 mg kg
−1
available phosphorous (AP), 232.6 mg kg
−1
available potassium
(AK) with 1.37 g cm−3soil bulk density (BD) (Table 2).
Table 1.
Mean maximum and minimum temperature, relative humidity, and total rainfall during both
growing seasons.
Months Maximum Minimum Relative Total
Temperature (◦C) Temperature (◦C) Humidity (%) Rainfall (mm)
March 21 21 80 74.4
April 23 23 77 74.5
May 28 28 85 186.2
June 29 28 80 223.3
July 36 26 81 337.8
August 34 25 82 151.8
September 31 23 87 99.5
October 30 21 83 67.4
November 24 16 90 16.7
December 17 11 85 13.5
Table 2. Physical and chemical properties of soil and manure before the experiment.
Properties Soil Cattle Poultry
Manure Manure
Porosity (%) 40.12 - -
Moisture content (%) 11.23 - -
Bulk density (g cm−3)1.38 0.81 0.74
pH (water) 5.95 7.75 7.95
SOC (g kg−1)9.66 146.33 164.22
SOM (g kg−1)16.51 254.63 282.42
Total N (g kg−1)1.34 9.8 12.65
Total P (g kg−1)0.62 10.12 7.32
Total K (g kg−1)- 14.22 9.76
Available N (mg kg−1)130.7 - -
Available P (mg kg−1)22.21 - -
Available K (mg kg−1)230.5 - -
C:N ratio 7.16 14.92 12.98
Note: SOC—soil organic carbon, SOM—soil organic matter, N—nitrogen, P—phosphorous, K—potassium,
C:N—carbon to nitrogen ratio.
Agronomy 2019,9, 651 4 of 20
2.2. Experimental Design and Field Management
An outdoor pot experiment was conducted during the early and late rice growing seasons. Soil
was collected from the uppermost 20 cm layer of the experimental site. Plastic pots (29.4 cm width,
19.4 cm depth, and 26.5 cm height) were filled after the soil was air dried and pulverized. Pots were
arranged in a completely randomized design with 12 replications and placed under natural field
conditions with 35 cm distance between them. In order to minimize experimental error, the size and
weight of the soil samples were strictly controlled during the collection process, and it was ensured that
the soil in each pot remained at the same volume and each pot received 15 kg of soil. Cattle manure
(CM) and poultry manure (PM) were the organic sources and urea was used as the chemical fertilizer
(CF). The study consisted of six treatments and the percentage composition of organic manure and CF
was as follows: T
1
—no N fertilizer; T
2
—100% CF; T
3
—60% CM +40% CF; T
4
—30% CM +70% CF,
T5—60% PM +40% CF; and T6—30%PM +70% CF.
Zhenguiai cultivar seeds were grown in plastic seedling trays, and two of the 25-day-old uniform
size seedlings were transplanted per hill and two hills per pot. The recommended rate of NPK
300:150:300 (kg ha
−1
) was used and each pot received 0.90 g P
2
O
5
from superphosphate, 2.20 g KCl
from potassium chloride, and 1.80 g N from both organic manure (PM or CM) and inorganic source
urea. Nutrient content and amount for each treatment are shown in Table 3. Nitrogen and potassium
were applied in three splits, 60% as a basal dose, 20% at early tillering stage, and 20% at panicle
initiation, whereas all P was applied as a basal dose one day before transplanting (Table 3). Cattle
and poultry manure were collected the from the cattle and poultry farms located in Nanning city and
uniformly mixed with soil 20 days before transplanting. The control pots received no N fertilizer, but
they received P and K fertilizers, similar to N treated pots. Uniform flood water about 4 cm deep was
continued from transplanting until physiological maturity. Throughout the growing season, standard
agricultural practices, such as irrigation, insecticides, and herbicides, were done similarly for all pots
during both seasons.
Table 3. Nutrient content and amount provided for each treatment and application time.
Treatment N
(g pot−1)
Urea
(g pot−1)
CM or PM
(g pot−1)
Basal Fertilization
(g pot−1)
Tillering
(g pot−1)
Panicle Initiation
(g pot−1)
T1: CK 0 0 0 P2O2: KCl: 1.10 KCl: 1.1 Urea: 0.78
T2: 100% CF 1.8 3.91 0 Urea: 2.35, P2O2:
4.5, KCl: 1.1
Urea: 0.78,
KCl: 1.1 Urea: 0.78
T3: 60% CM
+40% CF 1.8 1.56 125.8 Urea: 0, CM: 125.8,
P2O2: 4.5, KCl: 1.1
Urea: 0.78,
KCl: 1.1 Urea: 0.78
T4: 30% CM
+70% CF 1.8 2.73 62.9
Urea:1.17, CM: 62.9,
P2O2: 4.5, KCl: 1.1
Urea: 0.78,
KCl: 1.1 Urea: 0.78
T5: 60% PM
+40% CF 1.8 1.56 108.2 Urea: 0, PM: 108.2,
P2O2: 4.5, KCl: 1.1
Urea: 0.78,
KCl: 1.1 Urea: 0.78
T6: 30% PM
+70% CF 1.8 2.73 54.1 Urea: 0, PM: 54.1,
P2O2: 4.5, KCl: 1.1
Urea: 0.78,
KCl: 1.1 Urea: 0.78
Note: N—nitrogen, CK—control, CF—chemical fertilizer (urea), CM—cattle manure, PM—poultry manure,
P2O2—superphosphate, KCl—potassium chloride.
2.3. Physical and Chemical Features of Soil and Organic Manure BeforeExperimentation
The physicochemical properties of the site and manure used in this experiment are shown in
Table 2. The soil of the experimental site was acidic in nature (pH 5.90), with high bulk density (BD) of
1.38 g cm
−3
and lower organic matter (16.51 g kg
−1
), TN (1.35 g kg
−1
), AP (22.21 mg kg
−1
), and AK
(230.50 mg kg
−1
). The pH of CM and PM was 7.75 and 7.95, respectively, indicating alkalinity. PM had
higher organic C (164.20 g kg−1), N (12.85 g kg−1), and BD (0.77 g cm−3) than CM.
Agronomy 2019,9, 651 5 of 20
2.4. Sampling and Analysis
2.4.1. Soil and Manure Sampling and Analysis
The basic soil properties are presented in Table 2. Initial soil and organic manure sub-samples
were taken randomly, air-dried, and passed through a 2 mm sieve. Similarly, three replicated samples
were taken from up to 20 cm depth for each treatment after harvest in both the early and late seasons
to determine the changes in soil physical and chemical properties. Samples were air-dried at room
temperature and separated into two sub-samples. The core method was used to determine soil bulk
density (BD) [
37
]. The obtained soil BD was further used to calculate soil total porosity using the
method in Equation (1) [38]:
Porosity =(1 −(BD/PS)) ×100 (1)
where BD is soil bulk density and PS is particle density, assumed to be 2.65 mg m
−3
. Soil moisture
content was determined by the method described in [
39
]. Initially, air-dried soil was taken and passed
through a 0.5 mm sieve, and the weight of tin (g) was taken as W
1
, then 1 g soil sample was taken
along with then tin and weighed as W
2
. The soil samples were kept in an oven for 2 h at 105
◦
C to
obtain a constant weight as W
3
. Soil moisture content (%) was determined by the following formula
(Equation (2)):
MC % =
W2−W3
W3−W1
(2)
The pHs of soil and organic fertilizer were determined after shaking the soil and manure with
distilled water at a 1:2.5 (w/v) solid-to-water ratio for 1 h with the help of a digital pH meter (Thunderbolt
PHS-3C, Shangai, China) [
40
]. For total organic carbon, sub samples were ground and again made
to pass through a 0.25 mm sieve. Total organic carbon was determined by the method in [
41
]. Soil
organic matter was measured by multiplying total organic carbon by 1.72. For total N (TN) analysis,
200 mg samples were weighted and digested using the salicylic acid–sulfuric acid–hydrogen peroxide
method [
42
], then TN was analyzed using the micro-Kjeldahl procedure [
43
], and total phosphorous
(TP) was tested using the ascorbic acid method [
44
]. Standard stock solution was prepared by dissolving
KCl in distal water. Potassium was determined by using an atomic absorption spectrophotometer
(Z-5300; Hitachi, Tokyo, Japan) after samples were digested. Available N (AN) was extracted from the
soil samples using the hot water extraction method [
45
]. Furthermore, available P (AP) was extracted
by Olsen’s method with 0.5 m NaHCO3 solution adjusted to pH 8.5 [
46
]. Finally, available K (AK)
was found from air-dried soil samples that passed through a 2 mm sieve. Then, transferred to a 100
mL polyethylene bottle, together with 50 mL of the ammonium acetate/acetic acid solution, AP was
extracted by the method outlined in [47].
2.4.2. Leaf Gas Exchange Attributes
The photosynthesis parameters, including net photosynthetic rate (Pn), stomatal conductance (g
s
),
transpiration rate (Tr), and intercellular CO
2
content (C
i
), were determined attillering, heading, and
milking stages during both the early and late seasons. For each pot, fully expanded flag leaves were
selected for photosynthesis measurement using a portable photosynthesis system (Li-6400, Li-COR
Inc., Lincoln, NE, USA). The measurements were done on a sunny day, from 09:30 to 12:30 under the
following conditions: light intensity—1200
µ
mol m
−2
s
−1
; air humidity—70%; CO
2
—375
µ
mol mol
−1
;
and leaf temperature—28 ◦C.
2.4.3. Biomass and Nitrogen Accumulation
Samples were collected from each pot at tillering, heading, and maturity stages for the measurement
of total biomass and N accumulation. These samples were divided into roots, stems, leaves, and
Agronomy 2019,9, 651 6 of 20
panicles and then oven-dried at 85
◦
C. Total N content was determined according to the micro-Kjeldhal
method [43]. Nitrogen use efficiency (NUE) was calculated using Equation (3):
NUE =
N uptake in fertilized pots −N uptake in unfertilized pots ×100
N applied (3)
2.4.4. Root Morphological Traits
Rice root morphological traits included total root length (m hill
−1
) (TRL), total root surface area
(m
−2
hill
−1
) (TRSA), total average root diameter (m
−3
hill
−1
) (TARD), and total root volume (mm hill
−1
)
(TRV). Root samples were taken from three hills of each treatment with an equal number of tillers,
carefully cut the roots from plant and washed to remove soil dirt with running water. The measurements
were done at tillering, heading, and maturity stages using an Epson Expression 10000XL scanner and
root analysis software (WinRHIZO Prov. 2009c, Regent Instruments, Quebec, Canada). After scanning,
root samples were dried at 75
◦
C for three days to measure root dry weight. Root-to-shoot ratio was
determined by dividing root dry weight by shoot dry weight.
2.4.5. Growth, Yield, and Yield Components
Rice growth, yield, and yielding attributes were calculated for each treatment. The crop was
harvested manually and then threshed by the thresher. Grain yield was expressed as grams per hill
at 14% moisture content, while harvest index (HI) was determined as the ratio of grain yield to and
to total biomass at maturity. Both hills were selected from each pot to obtain the agronomic traits,
including plant height, number of tillers, flag leaf area, panicle length, number of spikelets (panicle
−1
),
filled grain (%), and 1000-grain weight.
2.4.6. Nutritive Quality
After harvesting, rice grains were air-dried to up to 10–12% moisture content and flour was made
from the milled rice for quality assessment. Amylose content was measured by the method in [
48
].
Protein content was found by total grain N content multiplied by a protein conversion coefficient of
5.95. Gel consistency was found by the method in [
49
]. For alkali spreading value (gelatinization
temperature (GT)), six milled rice grains were soaked for 24 h in 10 mL potassium hydroxide of 1.5%
and 1.7%. Scores of 2 to 7 were given: 2 meant no reaction (high gel temperature) and 7 meant low gel
temperature [50].
2.4.7. Statistical Analysis
Analysis of variance was conducted to test the differences in physiological, morphological,
and grain quality attributes of rice using Statistics 8.1 analytical software. The collected data were
first check for normal distribution and after following the assumptions. Data were analyzed in a
completely randomized design using one-way ANOVA. Data (in percentage) were arcsine transformed
to normalize the variables before analysis. For multiple comparison tests among the treatments of
both experiments, the least significant difference (LSD) test at p<0.05 was used to detect significant
differences among the means. For correlation analysis, Pearson’s linear correlation was used to evaluate
the relationships between response variables.
3. Results
3.1. Physiochemical Properties of Soil
The combined application of CF with either cattle or poultry manure had a significant effect
on soil physical and chemical properties (Tables 4and 5). Soil physical features, such as porosity
(POR), moisture content (MC), and bulk density (BD), were recorded to be considerably varied in the
soil after harvesting the rice during early and late seasons. The combined application of CM 60%
Agronomy 2019,9, 651 7 of 20
+CF40% (T
3
) significantly reduced soil BD by 7% and 13%compared with baseline soil during the
early and late seasons, respectively, followed by pots with CM or PM application (30% +CF 70%;
T
4
and T
6
). Similarly, compared with sole urea application, T
3
increased soil porosity by 7.5% and
14.5%, and moisture content by 10% and 16%, followed by T
5
, T
4
, and T
6
during the early and late
seasons, respectively.
Table 4. Changes in soil physical properties under combined organic and inorganic fertilizers.
Treatment Bulk Density (g cm−3)Porosity (%) Moisture Content (%)
Season Early Late Early Late Early Late
T11.37 a 1.37 a 40.21 d 40.10 d 11.20 d 11.33 c
T21.38 a 1.37 a 40.11 d 39.98 d 11.23 d 11.20 c
T31.29 c 1.21 d 43.27 a 46.20 a 12.40 a 13.25 a
T41.31 b 1.25 b 42.80 c 45.28 b 11.95 c 12.56 b
T51.29 c 1.23 c 43.20 b 45.90 b 12.25 b 12.90 b
T61.32 b 1.26 b 42.22 c 45.55 c 11.84 c 12.42 b
Note: T
1
: no N fertilizer, T
2
: 100% CF, T
3
: 60%CM +40%CF, T
4
: 30%CM +70%CF, T
5
: 60% PM +40%CF, T
6
:
30%PM +70%CF. Values followed by the same letters, within column, are not significantly different at p<0.05.
Table 5. Changes in soil chemical properties under combined organic and inorganic fertilizers.
Treatment pH SOC SOM TN AP AK
(Water) (g kg−1) (g kg−1) (g kg−1) (mg kg−1) (mg kg−1)
Early season
T15.91 c 9.60 d 16.50 e 1.31 c 21.28 d 233.20 d
T25.90 c 9.65 d 16.60 d 1.35 c 21.76 cd 238.53 c
T36.29 a 11.83 a 19.33 a 1.61 a 24.51 a 285.23 a
T46.15 b 10.40 c 17.83 c 1.46 b 22.97 bc 271.60 b
T56.27 a 11.70 a 19.40 a 1.62 a 23.90 ab 275.23 b
T66.11 b 10.50 bc 18.00 b 1.46 b 23.34 ab 271.62 b
Late season
T15.92 c 9.61 d 16.52 c 1.29 d 21.96 c 240.53 e
T25.89 d 9.66 c 16.61 c 1.33 d 22.35 c 282.23 d
T36.36 a 13.46 a 21.96 a 1.83 a 26.22 a 348.20 a
T46.25 a 11.96 b 20.56 b 1.69 c 25.64 ab 336.90 b
T56.40 a 13.30 a 22.00 a 1.85 a 26.02 a 343.20 a
T66.28 b 12.00 b 20.63 b 1.71 b 25.04 b 320.53 c
Note: T
1
: no N fertilizer, T
2
: 100% CF, T
3
: 60%CM +40%CF, T
4
: 30% CM +70% CF, T
5
: 60% PM +40%CF,
T
6
: 30%PM +70%CF, SOC—soil organic carbon, SOM—soil organic matter, TN—total nitrogen, AP—available
phosphorous, AK—available potassium. Values followed by the same letters, within column, are not significantly
different at p≤0.05.
Soil chemical properties, including pH, SOC, SOM, TN, AP, and AK ratio were significantly
different among the treatments at up to 15 cm depth post-harvest during both seasons (Table 5). The
combined application of CM or PM with CF significantly increased soil chemical properties compared
to sole inorganic fertilizer treatment. Compared with sole urea fertilizer, T
3
increased soil pH by 6.2%
and 8.4%, SOC by 17% and 33%, SOM by 17% and 33%, and soil TN by 20% and 35% during the early
and late seasons, respectively. However, no significant differences were observed in T
3
and T
5
. The
minimum values were observed in T
2
and T
1
. Similarly, T
3
enhanced soil AP by 10% and 17% and AK
22% and 64% compared with T
2
during the early and late seasons, respectively. T
5
was to be found
statistically at par (p<0.05) with T3.
3.2. Root Morphological Features
Rice root morphological attributes, including total root length (TRL), total root surface area (TRSA),
total root volume (TRV), and average root diameter (ARD), were significantly different among N
Agronomy 2019,9, 651 8 of 20
embedded treatments during the early and late season (Table 6). Root morphological traits showed
upward and downward trends throughout the growing season, higher at heading and lower at maturity.
Root morphological traits showed the same behavior across the seasons, and the average increased
in TRL, TRSA, TRV, and ARD by 22%, 17%, 28%, and 19%, respectively, observed in T
4
compared
to control at maturity. T
2
and T
6
were found to be statistically non-significant with T
4
. Lower root
morphological traits were noted in control pots during both seasons. The root-to-shoot ratio reflects
plant growth and development and the coordination of the below-and-above ground parts of the plant.
The root-to-shoot ratio of rice decreased gradually with the growth process (Figure 2G–H). Compared
with control, N embedded treatment increased the root-to-shoot ratio significantly during both seasons.
Across the stages, T
3
treatment showed maximum root-to-shoot ratio during both seasons. T
3
was
statically on par (p<0.05) with all treatments except control. The results show that combined organic
manure and inorganic fertilizer affected the root-to-shoot ratio.
Table 6.
Changes in root length, surface area, average diameter, and root volume under organic and
inorganic fertilizer.
Treatments TRL (m hill−1)TRSA (m2hill−1)TARD (mm hill−1)TRV (cm3hill−1)
Season Early Late Early Late Early Late Early Late
Tillering
T174.9 d 75.3 d 18.2 c 18.2 c 0.28 b 0.21 c 22.2 c 21.2 c
T289.2 a 90.2 a 23.1 a 24.1 a 0.33 a 0.28 b 27.1 a 26.1 a
T380.2 c 82.4 c 21.2 b 22.1 b 0.34 a 0.34 a 25.3 b 24.5 b
T486.5 b 86.3 b 22.1 b 22.9 b 0.32 a 0.33 a 26.6 a 25.6 b
T582.1 b 83.6 c 21.9 b 21.9 b 0.34 a 0.33 a 24.2 b 24.4 b
T685.1 b 87.2 b 22.1 b 22.5 b 0.33 a 0.32 a 26.3 ab 25.8 a
Heading
T1130.6 d 130.3 c 40.1 c 41.4 c 0.49 c 0.45 c 49.8 c 48.5 c
T2157.0 b 150.5 b 44.1 b 43.8 bb 0.63 b 0.65 b 54.7 b 51.4 b
T3146.2 c 150.5 b 44.2 b 45.5 ab 0.63 b 0.66 a 55.1 b 56.1 a
T4164.1 a 165.3 a 44.2 a 47.2 a 0.67 a 0.67 a 59.1 a 58.5 a
T5150.5 c 155.2 b 44.4 ab 45.4 ab 0.66 a 0.66 a 57.2 a 55.3 a
T6158.0
ab 166.3 a 46.1 a 47.5 a 0.67 a 0.67 a 57.5 a 58.6 a
Maturity
T1114.4 c 112.5 c 31.9 c 29.3 c 0.50 c 0.49 c 39.4 c 39.8 c
T2134.0 b 127.4 b 34.0 b 33.8 b 0.55 b 0.54 b 45.7 b 46.4 b
T3124.2 b 130.8 a 34.2 b 34.5 b 0.54 b 0.55 b 49.3 a 45.2 b
T4139.8 a 137.6 a 38.7 a 36.3 a 0.59 a 0.60 a 50.1 a 51.2 a
T5128.5 b 133.2 a 34.4 b 34.5 b 0.58 a 0.54 b 46.5 b 47.8 b
T6136.0 a 132.5 a 37.7 a 34.4 b 0.59 a 0.59 a 48.8 ab 47.8 b
Note: T
1
: no N fertilizer, T
2
: 100% CF, T
3
: 60%CM +40%CF, T
4
: 30%CM +70%CF, T
5
: 60% PM +%40CF, T
6
: 30%PM
+70%CF, TRL—total root length, TRSA—total root surface area, TARD—total average root diameter, TRV—total
root volume. Values followed by the same letters within column are not significantly different at p<0.05.
3.3. Leaf Gas Exchange Attributes
Photosynthesis traits, including net photosynthesis rate (Pn), transpiration rate (Tr), stomatal
conductance (g
s
), and intercellular CO
2
concentration (C
i
), at the tillering, heading, and milking stages,
were significantly influenced by N treatments during the early and late seasons (Figure 1A–H). All
traits showed a quadratic trend across growth, with maximum values at heading and lower values
at the milking stage in both seasons. Across the seasons at the tillering stage, Pn was significantly
higher in T
2
by 21%, while at the heading and milking stage, Pn was 23% and 19%, respectively, in T
6
compared with control. T
2
and T
4
were statistically similar (p<0.05) to T
6
. The differences in Tr, gs,
and Ci were non-significant among N embedded treatments and control at tillering, while at heading
and milking stages they were found to be significantly higher than control during both seasons. Tr, g
s
,
Agronomy 2019,9, 651 9 of 20
and C
i
were considerably higher by 24%, 30%, and 9% at heading and 7%, 23%, and 8% at milking
stage in T
6
than control across the seasons. However, no significant differences were observed between
the T2and T4treatments and T6.
Agronomy 2019, 9, x FOR PEER REVIEW 9 of 20
Photosynthesis traits, including net photosynthesis rate (Pn), transpiration rate (Tr), stomatal
conductance (gs), and intercellular CO2 concentration (Ci), at the tillering, heading, and milking
stages, were significantly influenced by N treatments during the early and late seasons (Figure
1A–H). All traits showed a quadratic trend across growth, with maximum values at heading and
lower values at the milking stage in both seasons. Across the seasons at the tillering stage, Pn was
significantly higher in T2 by 21%, while at the heading and milking stage, Pn was 23% and 19%,
respectively, in T6 compared with control. T2 and T4 were statistically similar (p < 0.05) to T6. The
differences in Tr, gs, and Ci were non-significant among N embedded treatments and control at
tillering, while at heading and milking stages they were found to be significantly higher than control
during both seasons. Tr, gs, and Ci were considerably higher by 24%, 30%, and 9% at heading and
7%, 23%, and 8% at milking stage in T6 than control across the seasons. However, no significant
differences were observed between the T2 and T4 treatments and T6.
Figure 1. Net photosynthesis rates during season early (A) and late (B), transpiration rate at early (C)
and late (D) seasons, stomatal conductance at early (E) and late (F) seasons, and intercellular CO2
concentration at early (G) and late (H) seasons of rice at the tillering, heading, and milking stages
under organic manure and inorganic fertilizer application. Vertical bars represent the standard error
Figure 1.
Net photosynthesis rates during season early (
A
) and late (
B
), transpiration rate at early
(C) and late (D) seasons, stomatal conductance at early (E) and late (F) seasons, and intercellular CO2
concentration at early (
G
) and late (
H
) seasons of rice at the tillering, heading, and milking stages
under organic manure and inorganic fertilizer application. Vertical bars represent the standard error
of mean. Different litters above the column indicate statistical significance at the p<0.05. Note:
Pn—net photosynthesis rate, Tr—transpiration rate, g
s
—stomatal conductance, and C
i
—intercellular
CO
2
content. T
1
: no N fertilizer, T
2
: 100% CF, T
3
: 60% CM +40% CF, T
4
: 30% CM +70% CF, T
5
: 60%
PM +40% CF, T6: 30% PM +70% CF.
3.4. Biomass, Nitrogen Accumulation, and NUE
Dry matter production and N uptake, which reflect the growth and metabolic ability of a crop,
conclusively control the economic yield. Biomass and N accumulation increased progressively with
improved growth and attained the highest weight at maturity. Biomass and N accumulation (NA)
Agronomy 2019,9, 651 10 of 20
differed significantly between control and N embedded treatment (Figure 2A–D). The differences
among treatments showed a similar trend for both seasons. Sole urea application (T
2
) resulted in a
higher biomass (18.14 g hill
−1
and NA 0.38 g hill
−1
) at the tillering stage across the seasons, while at
heading and maturity, there was maximum biomass accumulation (43.32 and 66.22 g hill
−1
) and NA
(0.43 and 0.67.56 g hill
−1
), respectively, in T
6
across the seasons. In-addition, T
2
and T
4
were statistically
comparable with T
6
. The lowest biomass and NA were observed in control, followed by T
5
and T
3
,
during both seasons. Co-applied organic and inorganic fertilizer had significantly increased nitrogen
use efficiency (NUE) compared with sole inorganic fertilizer application. Among the treatments, T
6
showed higher NUE by 43.5%, followed by T
4
at 42.8%, across the seasons (Figure 2E–F). Similarly,
T
3
and T
5
also increased the NUE, and lower NUE was noted in sole urea fertilizer treatment during
both seasons.
Agronomy 2019, 9, x FOR PEER REVIEW 10 of 20
of mean. Different litters above the column indicate statistical significance at the p < 0.05. Note:
Pn—net photosynthesis rate, Tr—transpiration rate, gs—stomatal conductance, and Ci—intercellular
CO2 content. T1: no N fertilizer, T2: 100% CF, T3: 60% CM + 40% CF, T4: 30% CM + 70% CF, T5: 60% PM
+ 40% CF, T6: 30% PM + 70% CF.
3.4. Biomass, Nitrogen Accumulation, and NUE
Dry matter production and N uptake, which reflect the growth and metabolic ability of a crop,
conclusively control the economic yield. Biomass and N accumulation increased progressively with
improved growth and attained the highest weight at maturity. Biomass and N accumulation (NA)
differed significantly between control and N embedded treatment (Figure 2A–D). The differences
among treatments showed a similar trend for both seasons. Sole urea application (T2) resulted in a
higher biomass (18.14 g hill−1 and NA 0.38 g hill−1) at the tillering stage across the seasons, while at
heading and maturity, there was maximum biomass accumulation (43.32 and 66.22 g hill−1) and NA
(0.43 and 0.67.56 g hill−1), respectively, in T6 across the seasons. In-addition, T2 and T4 were
statistically comparable with T6. The lowest biomass and NA were observed in control, followed by
T5 and T3, during both seasons. Co-applied organic and inorganic fertilizer had significantly
increased nitrogen use efficiency (NUE) compared with sole inorganic fertilizer application. Among
the treatments, T6 showed higher NUE by 43.5%, followed by T4at 42.8%, across the seasons (Figure
2E–F). Similarly, T3 and T5 also increased the NUE, and lower NUE was noted in sole urea fertilizer
treatment during both seasons.
Figure 2.
Changes in biomass accumulation during at early (
A
) and late season (
B
), N accumulation
during early (
C
) and late season (
D
), nitrogen use efficiency during early (
E
) and late season (
F
), and
root-to-shoot ratio during early (
G
) and late season (
H
) of rice at the tillering, heading, and maturity
stages under organic manure and inorganic fertilizer application. Vertical bars represent the standard
error of mean. Different litters above the column indicate statistical significance at p<0.05. Note—T
1
:
no N fertilizer, T
2
: 100% CF, T
3:
60% CM +40% CF, T
4
: 30% CM +70% CF, T
5
: 60% PM +40% CF, T
6
:
30% PM +70% CF.
Agronomy 2019,9, 651 11 of 20
3.5. Growth, Yield, and Yield Attributes
Combined manure and synthetic fertilizer application had a significant effect on crop growth,
grain yield, and yield components of rice during both seasons (Table 7). Growth attributes such as plant
height (cm), flag leaf area (cm
2
), and panicle length (cm) were considerably varied at physiological
maturity. In both seasons, T
6
and T
4
produced maximum growth traits compared with control. At
maturity, T
6
had greater plant height by 14%, flag leaf area by 34% and panicle length by 16% than
control across the seasons. T
2
and T
4
were statistically at par (p<0.05) with T
6
. Compared to control,
T
6
had increased tillers by 61%, filled grains by 15.5%, and 1000 grain weight by 23% during both
seasons. No significant difference was observed between T
4
and T
6
. The highest grain yield (45.4
and 43.5 g hill
−1
) and biological yield (90.2 and 86.6 g hill
−1
) were achieved in T
6
during early and
late seasons, respectively. T
4
was statistically non-significant with T
6
. PM or CM at 30% +CF 70%
increased grain yield by 10% over sole urea fertilizer across the seasons.
Table 7.
Changes in growth, grain yield, and yield components of rice under organic and inorganic
fertilizer application.
Treatment FLA
(cm2)
PH
(cm)
NT
(hill−1)PL (cm) FGP
(%)
TGW
(g)
GY
(g hill−1)
BY
(g hill−1)HI (%)
Early Sea
T124.9 c 102.1 c 9 c 23.3 c 73.7 c 19.4 d 22.6 c 61.9 d 41 c
T233.5 a 115.3 a 15 a 26.5 a 82.5 a 25.5 a 41.7 a 89.1 ab 50 a
T331.4 b 109.3 b 13 b 24.1 b 79.3 b 24.7 bc 35.6 b 84.3 c 44 b
T433.6 a 114.1 a 15 a 26.1 a 82.4 a 24.8 ab 43.4 a 88.4 b 51 a
T533.0 ab 108.7 b 13 b 23.9 b 70.1 b 23.8 b 36.1 b 85.2 c 46 a
T634.32 a 115.3 a 15 a 26.4 a 82.5 a 25.2 a 43.4 a 90.2 a 50 a
Late Sea
T124.9 c 101.1 b 9 c 20.9 b 72.5 b 19.8 d 20.8 d 58.3 d 42 c
T233.4 a 113.9 a 13 a 23.8 a 81.8 a 25.3 a 39.2 b 82.7 b 49 b
T331.4 b 113.6 a 12 b 24.9 a 82.3 a 23.6 b 33.9 c 72.4 c 50 ab
T433.6 a 113.6 a 14 a 23.6 a 84.2 a 24.7 a 40.2 a 85.1 ab 52 a
T533.1 ab 112.5 a 13 b 24.9 a 82.9 a 23.1 b 34.9 c 74.1 c 50 ab
T633.7 a 114.8 a 14 b 25.2 a 83.2 a 25.3 a 41.3 a 86.9 a 51 ab
Note. T
1
: no N fertilizer, T
2
: 100% CF, T
3
: 60%CM +40%CF, T
4
: 30%CM +70%CF, T
5
: 60%PM +40%CF, T
6
:
30%PM +70%CF. Sea—season, FLA—flag leaf area, PH—plant height, NT—number of tillers, PL—panicle length,
FGP—filled grain percent, TGW—thousand grain weight, GY—grain yield, BY—biological yield, and HI—harvest
index. Values followed by the same letters, within column, are not significantly different at p≤0.05.
3.6. Nutritive Quality
Nutritive quality is a primary feature of rice, including amylose content (AC), protein content
(PC), gel consistency (GC), and alkali spreading value (GT). In the N embedded treatment, a significant
increase in the nutritive quality of rice was observed except GT across the seasons. Differences in
nutritive quality are shown in Figure 3A–D. Compared with control, T
6
increased AC and PC by 10%
and 32% across the seasons. However, T
2
and T
4
were statistically comparable with T
6
. Compared to
control, GC was found to be significantly higher and statistically comparable in all treatments during
both seasons. No significant differences in GT were observed among the treatment during both seasons.
Agronomy 2019,9, 651 12 of 20
Agronomy 2019, 9, x FOR PEER REVIEW 12 of 20
Nutritive quality is a primary feature of rice, including amylose content (AC), protein content
(PC), gel consistency (GC), and alkali spreading value (GT). In the N embedded treatment, a
significant increase in the nutritive quality of rice was observed except GT across the seasons.
Differences in nutritive quality are shown in Figure 3A–D. Compared with control, T6 increased AC
and PC by 10% and 32% across the seasons. However, T2 and T4 were statistically comparable with
T6. Compared to control, GC was found to be significantly higher and statistically comparable in all
treatments during both seasons. No significant differences in GT were observed among the
treatment during both seasons.
Figure 3. Changes in amylose content (A), gel consistency (B), protein content (C) and alkali
spreading value (GT) (D) of rice during both seasons under organic and inorganic fertilizer
application. Vertical bars represent the standard error of mean. Different letters above the column
indicate statistical significance at the p < 0.05. Note—T1: no N fertilizer, T2: 100%CF, T3: 60% CM +
40% CF, T4: 30% CM + 70% CF, T5: 60% PM + 40% CF, T6: 30% PM + 70% CF.
3.7. Correlation Analysis of Root Morphological Traits with Yield, N Uptake, and Biomass
The relationship of rice root morphological attributes with yield, N uptake, and dry matter
accumulation is presented in Table 8. Correlation analysis results were significant for root
morphological features with yield, N uptake, and total dry mater across the growth stages. At
heading and maturity stage, TRL, TRSA, TARD, TRV, and root dry weight (RDW) were positively
correlated with yield, N uptake, and dry matter accumulation, whereas at the tillering stage, all
traits, except for TARD with yield and N uptake, were highly correlated with yield. All other root
traits were positively correlated with total dry matter except TRV and TRL. These results indicate
that increments in rice yield, N uptake, and dry matter production directly depend on root growth.
Table 8. Correlation coefficients of yield, N uptake, and biomass accumulation with root
morphological features at different growth stages under organic and inorganic fertilizer application.
Root Correlation Coefficients between
Traits Grain Yield N Uptake Total Biomass
Till Head Mat Till Head Mat Till Head Mat
TRL 0.76 ** 0.96 ** 0.94 ** 0.51 * 0.93 ** 0.85 ** 0.32 ns 0.97 ** 0.98 **
TSA 0.55 * 0.82 ** 0.86 ** 0.62 * 0.87 ** 0.93 ** 0.55 * 0.96 ** 0.95 **
TARD 0.24
ns 0.84 ** 0.78 ** 0.44 ns 0.84 ** 0.80 ** 0.55 * 0.90 ** 0.93 **
Figure 3.
Changes in amylose content (
A
), gel consistency (
B
), protein content (
C
) and alkali spreading
value (GT) (
D
) of rice during both seasons under organic and inorganic fertilizer application. Vertical
bars represent the standard error of mean. Different letters above the column indicate statistical
significance at the p<0.05. Note—T
1
: no N fertilizer, T
2
: 100%CF, T
3
: 60% CM +40% CF, T
4
: 30% CM
+70% CF, T5: 60% PM +40% CF, T6: 30% PM +70% CF.
3.7. Correlation Analysis of Root Morphological Traits with Yield, N Uptake, and Biomass
The relationship of rice root morphological attributes with yield, N uptake, and dry matter
accumulation is presented in Table 8. Correlation analysis results were significant for root morphological
features with yield, N uptake, and total dry mater across the growth stages. At heading and maturity
stage, TRL, TRSA, TARD, TRV, and root dry weight (RDW) were positively correlated with yield, N
uptake, and dry matter accumulation, whereas at the tillering stage, all traits, except for TARD with
yield and N uptake, were highly correlated with yield. All other root traits were positively correlated
with total dry matter except TRV and TRL. These results indicate that increments in rice yield, N
uptake, and dry matter production directly depend on root growth.
Table 8.
Correlation coefficients of yield, N uptake, and biomass accumulation with root morphological
features at different growth stages under organic and inorganic fertilizer application.
Root Correlation Coefficients between
Traits Grain Yield N Uptake Total Biomass
Till Head Mat Till Head Mat Till Head Mat
TRL 0.76 ** 0.96 ** 0.94 ** 0.51 * 0.93 ** 0.85 ** 0.32 ns 0.97 ** 0.98 **
TSA 0.55 * 0.82 ** 0.86 ** 0.62 * 0.87 ** 0.93 ** 0.55 * 0.96 ** 0.95 **
TARD
0.24
ns 0.84 ** 0.78 ** 0.44 ns 0.84 ** 0.80 ** 0.55 * 0.90 ** 0.93 **
TRV 0.54 * 0.64 * 0.70 * 0.81 ** 0.83 ** 0.87 ** 0.32 ns 0.78 ** 0.74 *
TRDW
0.78 ** 0.78 ** 0.81 ** 0.97 ** 0.89 ** 0.97 ** 0.95 ** 0.85 ** 0.82 **
Note: Till—tillering, Head—heading, Mat—maturity, N—nitrogen, TRL—total root length, TRSA—total root
surface area, TARD—total average root diameter, TRV—total root volume, and TRDW—total root dry weight.
ns—non-significant, * and ** represents statistical significance at p<0.05 and p<0.01, respectively. The data were
averaged over both seasons, treatments showed the same behavior across the seasons.
4. Discussion
The current agricultural system heavily depends on chemical fertilizers, which negatively affect soil
health, environment, and crop productivity [
4
,
5
,
51
]. In order to improve soil quality, crop production,
Agronomy 2019,9, 651 13 of 20
and quality on a sustainable basis, chemical fertilizer management has recently become an essential
aspect of today’s research [
10
,
52
]. Organic fertilizer can improve soil health, but its sole application
could not meet the plants requirements in a short time due to its low nutrient content and slow release
rate of plant nutrient’s [
22
,
52
]. Thus, the objective of this study was to determine the effect of a
combined application organic manure and synthetic fertilizer on rice growth, physiology, yield, and
quality, and soil properties. In the present study, the combined application of cattle and poultry manure
with inorganic fertilizer significantly improved paddy soil physicochemical properties (Tables 4and 5).
The increased soil physical properties indices in the combined application of organic and chemical
fertilizer might have been allied with the effect of soil organic matter, which improved soil fertility
and pore structure, transportation, and storage traits. Organic manure coupled with mineral fertilizer
has been generally accepted as an effective means of enhancing microbial activity, soil aggregation,
structure, and water retention capacity [
53
,
54
]. Moreover, in this study, differences in SMC could be
due to differences in BD between treatments, because higher BD decreased the spaces where water
could be retained. A similar finding was stated by Mahmood et al. [
54
], who reported that manure
application reduced BD, and increased soil porosity and water holding capacity.
Soil chemical properties, including pH, SOC, SOM, TN, AP, and AK, were significantly increased
in combined treatment compared with baseline soil properties in the current work (Table 5). We
observed that the decomposition of manure slowly released nutrients to the soil and showed that
increasing the organic manure amount from 30% to 60% improved soil chemical properties. In the
current study, sole chemical N fertilization reduced soil pH, while combined treatment significantly
enhanced soil pH. A possible explanation for this is that organic manure affects soil acidity, because it
often contains sufficient basic cations and carbonate ions to neutralize the acidification effect [
55
,
56
].
Furthermore, the alkaline nature of manure is one of the main reasons for the increasing soil pH [
27
].
The SOC concentration in the surface layer increased significantly under the combined manure and
mineral N treatment (Table 5). In fact, the SOC at any given location largely depends on the annual
turnover of organics, root and shoot stubbles, and root exudates, and their recycling [
22
,
26
]. The
significant increment of SOC in this study could be associated with the positive effects of organic
manure application. The SOC change rate is derived from both direct C input from manure and
indirect C input from incremental crop biomass return to the soil, such as root and crop residue [
2
].
Our results are in accordance with Purakayastha et al. [
57
], who reported that combined manure and
inorganic fertilizer enhanced SOC by 1180% and soil TN by 56–92% in top soil. Additionally, manure
in combination with mineral fertilizer significantly improved the nutrient status of soil (Table 5),
tested after harvest in both seasons in the present work. This enhancement in soil nutrient’s (NPK)
was obviously associated with organic manure (cattle or poultry) absorbing more leachate generated
during the process, which resulted in enhanced water holding capacity, reduced nutrient leaching, and
consequentially more available N, P, and K [22–58].
The favorable effects of organic manure on soil N supply have already been documented [
22
–
24
].
In this investigation, the highest increase in available P under combined CF, CM, and PM treatment,
as shown in Table 5, was very much expected under regular P addition through fertilizer, as cereal
crops utilize only a fraction of the applied P [
59
]. Manure supplies a huge amount of P to soil, and
decreases the fixation of applied P in the soil, resulting in increased competition of organic molecules
with PO
43−
ions for P retention sites under combined treatment, which could be another explanation
for this finding [60].
The leaching loss of potassium (K) with percolating water is one of the major reasons of K removal
from the rhizosphere, especially under irrigated ecology. The greater K fixing ability of illite-dominant
soil is the main reason for the decrease in available K in soil [
61
,
62
]. On the other hand, the higher
available K content under combined manure and mineral treatment in the current study may be
ascribed to the release of organic acids during decomposition, which generates negative electron
charges in the soil with a preference for di or tri valent cations, such as Al
3+
, Ca
2+
, and Mg
2+
, leaving
Agronomy 2019,9, 651 14 of 20
K
+
to be absorbed by negatively-charged soil colloids [
63
]. This phenomenon might help to reduce K
fixation and enhance its availability in soil.
Photosynthesis is the main driver of crop production by improving plant growth and biomass
production [
64
]. Photosynthesis showed a strong response to water and N-supply and uptake [
59
]. In
the present study, the Pn, Tr, g
s
, and C
i
were found to be higher under N treatment compared with
control (Figure 1A–G). The increase in photosynthesis indices under organic manure coupled with
inorganic fertilizer treatment might be allied to the faster release of nutrients from mineral fertilizer
increasing the photosynthetic capacity at early growth, while the slow and gradual release of nutrients
from organic manure throughout the growing season enhanced photosynthetic ability, especially at the
grain filling stage [
65
]. A sufficient water and nitrogen supply will decrease water soluble nutrients,
and stress producing root-sourced signal (ABA) leads to stomatal opening and improved leaf water
potential and physical activity in leaves [
66
]. From the present results, we demonstrated thatthe
combined manure and mineral fertilizer treatment improved soil fertility and root growth (Table 6),
which ultimately boosted the root’s ability to absorb water and nutrients, leading to enhanced stomatal
conductance, which enhanced the leaf gas exchange attributes and CO
2
fixing prior to the heading and
milking stages.
In the current study, sole mineral fertilizer treatments considerably improved biomass and N
uptake at the tillering stage, whereas at the heading and maturity stages organic manure coupled with
inorganic treatments significantly enhanced biomass accumulation and N uptake across the seasons,
compared with control (Figure 2A–D). This may be because manure decomposition at early growth
did not provide sufficient nutrients for plant growth as compared to inorganic fertilizer. Moreover,
chemical fertilizers release nutrients rapidly, which makes them easily available to plants at early
growth, while the slow and steady release of nutrients from organic manure provides sufficient
nutrients throughout growth, particularly at the grain filling stage [
67
]. In this study, taller plants,
larger stem girth of plants, and broad leaf areas were produced under combined fertilization compared
to sole urea application (Table 7), which ultimately positively correlated with biomass. Similar to our
study, Mehasen et al. [
68
] stated that the co-applied use of manure and chemical fertilizer sustained
soil fertility and improved nutrient uptake and plant growth. We observed in this study that organic
manure and inorganic amendments significantly increased NUE in all pots, particularly where we
applied 30% CM or PM and 70% CF compared to sole urea fertilization. This could be attributed
to higher N uptake in manure embedded treatments in the present study (Figure 2E–F). Moreover,
organic manure application enhanced the nutrient preserving capability of the soil and reduced N
leaching [
69
]. N recovery was higher in the late season than early under combined CM or PM with
urea in the present study. This may be due to organic manure fertilization having a residual effect on
later crops [70].
As an essential part of the plant organs, rice roots are involved in gaining water and nutrients,
synthesizing organic acids, amino acids, and plant hormones [
70
]. Root morphological and
physiological features are closely associated with soil nitrogen acquisition and the development
of plants [
71
–
73
]. In the current study, compared with control, sole urea application significantly
enhanced root growth at the tillering stage, while at heading and maturity; combined amendments
notably increased the total root length, surface area, average diameter, and total root volume (Table 6).
This could be ascribed to the faster and easier intake of nutrients from mineral fertilizer compared
with organic manure at the early growth stage [
74
]. In contrast, at heading and maturity, the combined
treatment enhanced the root morphological traits significantly compared to sole urea application. A
possible explanation for this that is the inspiring effect of both mineral and organic manure fertilizers on
root morphology is probably linked to soil physicochemical properties (sufficient nutrient availability,
maintained soil moisture content) (Tables 4and 5), that delay root senescence due to the slow and
regular release of nutrients from manure across growth, thus ultimately improving root growth and
activity in the present study. Similarly, a previous study reported that manure fertilization can enhance
Agronomy 2019,9, 651 15 of 20
soil physicochemical properties and the conservation of nutrients and promote plant growth by
improving root morphological traits [70].
The application of organic manure with synthetic fertilizer significantly increased growth, yield,
and yield components of rice in the present experiment, as shown in Table 7. Compared with control,
taller plants, wider leaf areas, more productive tillers, longer panicles, and maximum filled grain
percentage and grain yield were noted in coupled organic and mineral fertilizer treatment (Table 7).
This might be due to the improved soil fertility under combined treatment in this study (Tables 4
and 5), which ultimately improved root growth, nutrient uptake, and leaf photosynthetic capacity by
providing sufficient macroand micronutrients from manure and chemical fertilizer throughout the
growth period. Our results are also in line with those of Mangalassery et al. [
75
], who pointed out that
the use of manure integrated with chemical fertilizer increased the growth and yield of rice significantly
compared to the sole use of chemical fertilizer. The roots are the main source of nutrients supplied to
shoots. Hence, roots and shoots are reciprocal to each other [
76
]. In the present study, total root length
was positively correlated with grain yield (0.94 **) and biomass (0.98 **) under combined fertilization,
as shown in Table 8. This could be because together, manure and mineral fertilizer improved soil
fertility (nutrient availability) throughout the growing season, especially at the later period, which
ultimately enhanced root growth and allowed more nutrient uptake for higher photosynthesis activity,
resulting in maximum crop growth and biomass production [77,78].
The current study was on rice, especially focused on the amylose content (AC). AC influences
the eating and cooking quality of rice noodles; high AC means good eating quality [
73
]. In this study,
combined organic and inorganic treatment produced higher AC compared with sole urea application,
as shown in Figure 3A. In addition, protein content (PC) in the grain affects the amount of water
absorbed during cooking, which determines the texture of the rice [
79
]. The differences in the nutritive
quality of rice were shown in Figure 3A–D. The observed increment in AC and PC under combined
amendments suggests that both fertilizers provide sufficient amounts of macro and micronutrients,
particularly N, which is very important for growth and development throughout the season. Moreover,
the activity of the starch branching enzyme affects the amylose and protein content of rice during
grain filling [
80
] and glutamine is the key enzyme for protein synthesis, which finally affects the grain
nitrogen content [
81
,
82
]. Another possible reason that higher AC and PC under combined treatment
improved the activity of glutamine synthesis during the grain filling stage may be the sufficient
availability of N at later stages. A similar observation was reported by Kumar et al. [
28
], who noted
that manure coupled with synthetic fertilizer enhanced grain quality and amylose content by 7% as
compared with sole synthetic fertilization. Gel consistency (GC) and alkali spreading value (ASV) are
quality parameters responsible for the texture of rice cooking quality [
83
]. Moreover, ASV is an indirect
indicator of gelatinization affecting temperature, which affects the cooking quality [
84
]. Our results
demonstrate that the application of manure maintains nutrient availability, especially at grain filling,
which ultimately improves the GC and ASV of rice.
5. Conclusions
In this study, organic manure coupled with inorganic fertilizer significantly influenced soil
physiochemical properties, growth, physiology, grain yield, and quality attributes of rice. Cattle
and poultry manure in combination with chemical fertilizer at a 30:70% ratio significantly enhanced
rice growth and leaf gas exchange attributes by improving root morphological traits (root length,
surface area, diameter, and volume) and NUE. Improvements in these parameters further increased the
grain yield and nutritive quality (amylose content, gel consistency, and protein content) of rice. The
increased NUE was the result of improved soil physical (bulk density, porosity, moisture content) and
chemical (soil pH, soil organic carbon, total N, available phosphorous and potassium) properties under
combined organic and inorganic fertilizers application. In addition, grain yield, N uptake, and biomass
production were positively correlated with total root length, root average diameter, root surface area,
and root volume during the heading and maturity stages. Conclusively, combining the application of
Agronomy 2019,9, 651 16 of 20
cattle or poultry manure with synthetic fertilizer at a 30:70% ratio is a good model for higher rice grain
yield by improving root growth and soil properties.
Author Contributions:
A.I. and L.J. conceived the main idea of research. A.I. wrote the manuscript. L.H., A.K.,
K.A. revised the manuscript and provided suggestions. In addition, F.M. and S.W. analyzed the data. I.A., S.U.,
and Q.Z. assessed and data collection.
Acknowledgments:
This research was financially supported by the National Key Research and Development
Project of China (2016YFD030050902). We wish to thanks ours cooperates from the Guangxi University, Agriculture
Station for the help of conducting and managing this experiment.
Conflicts of Interest: The authors declare no conflict of interest.
Abbreviations
NUE—Nitrogen use efficiency; CF—Inorganic fertilizer; POR—Porosity; BD—Bulk density; SO—Soil organic
carbon; SOM—Soil organic matter; N—Nitrogen; TN—Total nitrogen; AP—Available phosphorous; AK—Available
potassium; h—Hour; DAT—Day after transplanting; Pn—Net photosynthetic rate; Tr—Transpiration rate;
g
s
—Stomatal conductance; C
i
—Intercellular CO
2
content; AC—Amylose content; PC—Protein content;
GT—Gelatinization temperature; GC—Gel consistency.
References
1.
Valin, H.; Sands, R.D.; Van, M.D.; Nelson, G.C.; Ahammad, H.; Blanc, E.; Bodirsky, B.; Fujimori, S.;
Hasegawa, T.; Havlik, P.; et al. The future of food demand: Understanding differences in global economic
models. Agric. Econ. 2014,45, 51–67. [CrossRef]
2.
Bitew, Y.; Alemayehu, M. Impact of Crop Production Inputs on Soil Health: A Review. Asian J. Plant Sci.
2017,16, 109–131. [CrossRef]
3.
Li, Y.; Shao, X.; Guan, W.; Ren, L.; Liu, J.; Wang, J.; Wu, Q. Nitrogen-Decreasing and Yield-Increasing Effects
of Combined Applications of Organic and Inorganic Fertilizers under Controlled Irrigation in a Paddy Field.
Pol. J. Environ. Stud. 2016,25, 673–680. [CrossRef]
4.
Yadav, M.; Kumar, R.; Parihar, C.; Yadav, R.; Jat, S.; Ram, H.; Meena, R.; Singh, M.; Verma, A.; Kumar, U.; et al.
Strategies for improving nitrogen use efficiency: A review. Agric. Rev. 2017,38, 29–40. [CrossRef]
5.
Diacono, M.; Montemurro, F. Long-Term Effects of Organic Amendments on Soil Fertility. Sustain. Agric.
2011,2, 761–786.
6.
Akhtar, K.; Wang, W.; Ren, G.; Khan, A.; Feng, Y.; Yang, G. Changes in soil enzymes, soil properties, and
maize crop productivity under wheat straw mulching in Guanzhong, China. Soil Tillage Res.
2018
,182,
94–102. [CrossRef]
7.
Horrigan, L.; Lawrence, R.S.; Walker, P. How sustainable agriculture can address the environmental and
human health harms of industrial agriculture. Environ. Health Perspect. 2002,110, 445–456. [CrossRef]
8.
Pathak, R.; Lochab, S.; Raghuram, N. Plant systems improving plant nitrogen-use efficiency. In Comprehensive
Biotechnology, 2nd ed.; Moo-Young, M., Ed.; Elsevier: Amsterdam, The Netherlands, 2011; pp. 209–218.
9.
Cai, A.; Zhang, W.; Xu, M.; Wang, B.; Wen, S.; Shah, S.A.A. Soil fertility and crop yield after manure addition
to acidic soils in South China. Nutr. Cycl. Agroecosyst. 2018,111, 1–12. [CrossRef]
10. Lal, R. Restoring Soil Quality to Mitigate Soil Degradation. Sustainability 2015,7, 5875–5895. [CrossRef]
11.
Chen, R.; Senbayram, M.; Blagodatsky, S.; Myachina, O.; Dittert, K.; Lin, X.; Blagodatskaya, E.; Kuzyakov, Y.
Soil C and N availability determine the priming effect: Microbial N mining and stoichiometric decomposition
theories. Glob. Chang. Boil. 2014,20, 2356–2367. [CrossRef]
12.
Nin, Y.; Diao, P.; Wang, Q.; Zhang, Q.; Zhao, Z.; Li, Z. On-Farm-Produced Organic Amendments on
Maintaining and Enhancing Soil Fertility and Nitrogen Availability in Organic or Low Input Agriculture.
Org. Fertil. 2016. [CrossRef]
13. Singh, B. Are Nitrogen Fertilizers Deleterious to Soil Health? Agronomy 2018,8, 48. [CrossRef]
14.
Mueller, N.D.; Gerber, J.S.; Johnston, M.; Ray, D.K.; Ramankutty, N.; Foley, J.A. Closing yield gaps through
nutrient and water management. Nature 2012,490, 254–257. [CrossRef]
15.
Morone, P.; Falcone, P.M.; Lopolito, A. How to promote a new and sustainable food consumption model: A
fuzzy cognitive map study. J. Clean. Prod. 2019,208, 563–574. [CrossRef]
Agronomy 2019,9, 651 17 of 20
16.
Chen, Y.; Peng, J.; Wang, J.; Fu, P.; Hou, Y.; Zhang, C.; Fahad, S.; Peng, S.; Cui, K.; Nie, L.; et al. Crop
management based on multi-split topdressing enhances grain yield and nitrogen use efficiency in irrigated
rice in China. Field Crops Res. 2015,184, 50–57. [CrossRef]
17.
Yao, Y.; Zhang, M.; Tian, Y.; Zhao, M.; Zhang, B.; Zeng, K.; Zhao, M.; Yin, B. Urea deep placement in
combination with Azolla for reducing nitrogen loss and improving fertilizer nitrogen recovery in rice field.
Field Crops Res. 2018,218, 141–149. [CrossRef]
18.
Yang, Y.; Zhang, M.; Li, Y.; Fan, X.; Geng, Y. Controlled Release Urea Improved Nitrogen Use Efficiency,
Activities of Leaf Enzymes, and Rice Yield. Soil Sci. Soc. Am. J. 2012,76, 2307–2317. [CrossRef]
19.
Anadon, L.D.; Chan, G.; Harley, A.G.; Matus, K.; Moon, S.; Murthy, S.L.; Clark, W.C. Making technological
innovation work for sustainable development. Proc. Natl. Acad. Sci. USA 2016,113, 9682–9690. [CrossRef]
20.
Nkoa, R. Agricultural benefits and environmental risks of soil fertilization with anaerobic digestates: A
review. Agron. Sustain. Dev. 2014,34, 473–492. [CrossRef]
21.
Ullah, M.S.; Islam, M.S.; Islam, M.A.; Haque, T. Effects of organic manures and chemical fertilizers on the
yield of brinjal and soil properties. J. Bangladesh Agric. Univ. 2008,6, 271–276. [CrossRef]
22.
Adekiya, A.; Agbede, T.; Aboyeji, C.; Dunsin, O.; Simeon, V. Effects of biochar and poultry manure on soil
characteristics and the yield of radish. Sci. Hortic. 2019,243, 457–463. [CrossRef]
23.
Ara
ú
jo, A.; Santos, V.; Monteiro, R. Responses of soil microbial biomass and activity for practices of organic
and conventional farming systems in Piauístate, Brazil. Eur. J. Soil Boil. 2008,44, 225–230. [CrossRef]
24.
Ahmad, R.; Arshad, M.; Khalid, A.; Zahir, Z.A. Effectiveness of Organic-/Bio-Fertilizer Supplemented with
Chemical Fertilizers for Improving Soil Water Retention, Aggregate Stability, Growth and Nutrient Uptake
of Maize (Zea mays L.). J. Sustain. Agric. 2008,31, 57–77. [CrossRef]
25.
Guo, J.; Hu, X.; Gao, L.; Xie, K.; Ling, N.; Shen, Q.; Hu, S.; Guo, S. The rice production practices of high yield
and high nitrogen use efficiency in Jiangsu, China. Sci. Rep. 2017,7, 2101. [CrossRef]
26.
Biratu, G.K.; Elias, E.; Ntawuruhunga, P. Soil fertility status of cassava fields treated by integrated application
of manure and NPK fertilizer in Zambia. Environ. Syst. Res. 2019,8, 3. [CrossRef]
27.
Xu, J.; Tang, C.; Chen, Z. The role of plant residues in pH change of acid soils differing in initial pH. Soil Boil.
Biochem. 2006,38, 709–719. [CrossRef]
28.
Kumar, U.; Shahid, D.M.; Tripathi, R.; Mohanty, S.; Kumar, A.; Bhattacharyya, P.; Lal, B.; Gautam, P.; Raja, R.;
Panda, B.B.; et al. Variation of functional diversity of soil microbial community in sub-humid tropical
rice-rice cropping system under long-term organic and inorganic fertilization. Ecol. Indic.
2017
,73, 536–543.
[CrossRef]
29.
Bandyopadhyay, K.; Misra, A.; Ghosh, P.; Hati, K. Effect of integrated use of farmyard manure and chemical
fertilizers on soil physical properties and productivity of soybean. Soil Tillage Res.
2010
,110, 115–125.
[CrossRef]
30.
Carrijo, D.R.; Lundy, M.E.; Linquist, B.A. Rice yields and water use under alternate wetting and drying
irrigation: A meta-analysis. Field Crops Res. 2017,203, 173–180. [CrossRef]
31.
Chauhan, B.S.; Jabran, K.; Mahajan, G. Rice Production Worldwide; Springer: Berlin/Heidelberg, Germany,
2017.
32.
Peng, S.; Tang, Q.; Zou, Y. Current Status and Challenges of Rice Production in China. Plant Prod. Sci.
2009
,
12, 3–8. [CrossRef]
33.
FAO. FAOSTAT; Food and Agriculture Organization of the United Nations: Rome, Italy, 2014; Available
online: http://faostat.fao.org/default.aspx (accessed on 10 June 2019).
34.
Arif, M.; Tasneem, M.; Bashir, F.; Yassen, G.; Iqbal, R.M. Effect of integrated use of organic manures and
inorganic fertilizers on yield and yield components of rice. J. Agric. Res. 2014,52, 197–206.
35.
Zhang, M.; Yao, Y.; Tian, Y.; Ceng, K.; Zhao, M.; Zhao, M.; Yin, B. Increasing yield and N use efficiency with
organic fertilizer in Chinese intensive rice cropping systems. Field Crops Res.
2018
,227, 102–109. [CrossRef]
36.
Li, R.; Li, M.; Ashraf, U.; Liu, S.; Zhang, J. Yield Analysis of Early Indica Rice Zhenguiai 1 in South China.
China Rice 2006,1, 17.
37.
Grossman, R.; Reinsch, T. Bulk density and linear extensibility. Methods Soil Anal. Part 4 Phys. Methods
2002
,
2, 201–228.
38.
Hillel, D. Introduction to Environmental Soil Physics; Elsevier Academic Press: Amsterdam, The Netherlands,
2004.
Agronomy 2019,9, 651 18 of 20
39.
Ledieu, J.; De Ridder, P.; De Clerck, P.; Dautrebande, S. A method of measuring soil moisture by time-domain
reflectometry. J. Hydrol. 1986,88, 319–328. [CrossRef]
40.
Cambardella, C.E.; Gajda, A.M.; Doran, J.W.; Wienhold, B.J.; Kettler, T.A. Estimation of particulate and
total organic matter by weight-loss-on ignition. In Assessment Methods for Soil Carbon; Lal, R., Kimble, J.F.,
Follet, R.F., Stewart, B.A., Eds.; CRC Press: Boca Raton, FL, USA, 2001; pp. 349–359.
41.
Rich, C.I.; Black, W.R. Pottasium exchange as affected by cation size, pH, and mineral structure. Soil Sci.
1964,97, 384–390. [CrossRef]
42.
Ohyama, T.; Ito, M.; Kobayashi, K.; Araki, S.; Yasuyoshi, S.; Sasaki, O.; Yamazaki, T.; Soyama, K.; Tanemura, R.;
Mizuno, Y.; et al. Analytical procedures of N, P, K contents in plant and manure materials using H
2
SO
4
-H
2
O
2
Kjeldahl digestion method. Bull. Fac. Agric. Niigata Univ.
1991
,43, 110–120, (In Japanese with English
summary).
43.
Jackson, M.L. Soil Chemical Analysis—Advanced Course; University of Wisconsin: Madison, WI, USA, 1956;
p. 991.
44.
Murphy, J.; Riley, J. A modified single solution method for the determination of phosphate in natural waters.
Anal. Chim. Acta 1962,27, 31–36. [CrossRef]
45.
Curtin, D.; Wright, C.E.; Beare, M.; McCallum, F.M. Hot Water-Extractable Nitrogen as an Indicator of Soil
Nitrogen Availability. Soil Sci. Soc. Am. J. 2006,70, 1512. [CrossRef]
46.
Olsen, S.R. Estimation of available phosphorus in soils by extraction with sodium bicarbonate. US Dep.
Agric. Circ. 1954,939, 1–19.
47.
Leaf, A.L. Determination of Available Potassium in Soils of Forest Plantations. Soil Sci. Soc. Am. J.
1958
,22,
458. [CrossRef]
48.
Juliano, B.O.; Perez, C.M.; Blakeney, A.B.; Castillo, T.; Ongseree, N.K.; Laignelet, B.; Lapis, E.T.; Murty, V.V.S.;
Paule, C.M.; Webb, B.D. International cooperative testing on the amylose content of milled rice. Starch-Stärke
1981,33, 157–162. [CrossRef]
49.
Cagampang, G.B.; Perez, C.M.; Juliano, B.O. A gel consistency test for eating quality of rice. J. Sci. Food Agric.
1973,24, 1589–1594. [CrossRef] [PubMed]
50.
Bhattacharya, K.; Sowbhagya, C. An improved alkali reaction test for rice quality. Int. J. Food Sci. Technol.
1972,7, 323–331. [CrossRef]
51.
Khan, A.; Tan, D.K.Y.; Munsif, F.; Afridi, M.Z.; Shah, F.; Wei, F.; Fahad, S.; Zhou, R. Nitrogen nutrition in
cotton and control strategies for greenhouse gas emissions: A review. Environ. Sci. Pollut. Res.
2017
,24,
23471–23487. [CrossRef] [PubMed]
52.
Kwiatkowska-Malina, J. Qualitative and quantitative soil organic matter estimation for sustainable soil
management. J. Soils Sediments 2018,18, 2801–2812. [CrossRef]
53.
Walsh, E.; McDonnell, K.P. The influence of added organic matter on soil physical, chemical, and biological
properties: A small-scale and short-time experiment using straw. Arch. Agron. Soil Sci.
2012
,58, S201–S205.
[CrossRef]
54.
Mahmood, F.; Khan, I.; Ashraf, U.; Shahzad, T.; Hussain, S.; Shahid, M.; Abid, M.; Ullah, S. Effects of organic
and inorganic manures on maize and their residual impact on soil physico-chemical properties. J. Soil Sci.
Plant Nutr. 2017,17, 22–32. [CrossRef]
55.
Whalen, J.K.; Chang, C.; Clayton, G.W.; Carefoot, J.P. Cattle Manure Amendments Can Increase the pH of
Acid Soils. Soil Sci. Soc. Am. J. 2000,64, 962. [CrossRef]
56.
Duruigbo, C.; Obiefuna, J.; Onweremadu, E. Effect of poultry manure rates on the soil acidity in an Ultisol.
Int. J. Soil Sci. 2007,2, 154–158.
57.
Purakayastha, T.J.; Huggins, D.R.; Smith, J.L. Carbon Sequestration in Native Prairie, Perennial Grass, No-Till,
and Cultivated Palouse Silt Loam. Soil Sci. Soc. Am. J. 2008,72, 534. [CrossRef]
58.
Murmu, K.; Swain, D.K.; Ghosh, B.C. Comparative assessment of conventional and organic nutrient
management on crop growth and yield and soil fertility in tomato-sweet corn production system. Aust. J.
Crop Sci. 2013,7, 16–17.
59.
Makoto, K.; Koike, T. Effects of nitrogen supply on photosynthetic and anatomical changes in current-year
needles of Pinus koraiensis seedlings grown under two irradiances. Photosynthetica
2007
,45, 99–104.
[CrossRef]
60.
Xie, R.J.; Fyles, J.W.; Mckenzie, A.F.; Hollaran, I.P. Ligno-sulphate retention in a clay soil: Casual modeling.
Soil Sci. Soc. Am. J. 1991,55, 711–716. [CrossRef]
Agronomy 2019,9, 651 19 of 20
61.
Tandon, H.L.S.; Sekhon, G.S. Potassium Research and Agricultural Production in India; Fertilizer Development
and Consultation Organization: New Delhi, India, 1988.
62.
Timsina, J.; Panaullah, G.M.; Saleque, M.A.; Ishaque, M.; Pathan, A.B.M.B.U.; Quayyum, M.A.; Connor, D.J.;
Saha, P.K.; Humphreys, E.; Meisner, C.A. Nutrient Uptake and Apparent Balances for Rice-Wheat Sequences.
I. Nitrogen. J. Plant Nutr. 2006,29, 137–155. [CrossRef]
63.
Timsina, J.; Singh, V.K.; Majumdar, K. Potassium management in rice-maize systems in South Asia. J. Plant
Nutr. Soil Sci. 2013,176, 317–330. [CrossRef]
64.
Khan, A.; Najeeb, U.; Wang, L.; Tan, D.K.Y.; Yang, G.; Munsif, F.; Ali, S.; Hafeez, A. Planting density and
sowing date strongly influence growth and lint yield of cotton crops. Field Crops Res.
2017
,209, 129–135.
[CrossRef]
65.
Yang, B.; Xiong, Z.; Wang, J.; Xu, X.; Huang, Q.; Shen, Q. Mitigating net global warming potential and
greenhouse gas intensities by substituting chemical nitrogen fertilizers with organic fertilization strategies
in rice–wheat annual rotation systems in China: A 3-year field experiment. Ecol. Eng.
2015
,81, 289–297.
[CrossRef]
66.
Daszkowska-Golec, A.; Szarejko, I. Open or Close the Gate—Stomata Action under the Control of
Phytohormones in Drought Stress Conditions. Front. Plant Sci. 2013,4, 138. [CrossRef]
67.
Roba, T.B. Review on: The Effect of Mixing Organic and Inorganic Fertilizer on Productivity and Soil Fertility.
OALib 2018,5, 1–11. [CrossRef]
68.
Mehasen, S.; Gebaly, S.G.; Seoudi, O. Effectiveness of organic and inorganic fertilization in presence of
some growth regulators on productivity and quality of egyptian cotton. Asian J. Biol. Sci.
2012
,5, 171–182.
[CrossRef]
69.
Ren, T.; Wang, J.; Chen, Q.; Zhang, F.; Lu, S. The Effects of Manure and Nitrogen Fertilizer Applications
on Soil Organic Carbon and Nitrogen in a High-Input Cropping System. PLoS ONE
2014
,9, e0097732.
[CrossRef] [PubMed]
70.
Lanna, N.B.; Silva, P.N.L.; Colombari, L.F.; Corr
ê
a, C.V.; Cardoso, A.I.I. Residual effect of organic fertilization
on radish production. Hortic. Bras. 2018,36, 47–53. [CrossRef]
71.
Wu, W.; Cheng, S. Root genetic research, an opportunity and challenge to rice improvement. Field Crops Res.
2014,165, 111–124. [CrossRef]
72.
Lynch, J.P. Steep, cheap and deep: An ideotype to optimize water and N acquisition by maize root systems.
Ann. Bot. 2013,112, 347–357. [CrossRef]
73.
Garnett, T.; Conn, V.; Kaiser, B.N. Root based approaches to improving nitrogen use efficiency in plants.
Plant Cell Environ. 2009,32, 1272–1283. [CrossRef]
74.
Lazcano, C.; Gomez-Brandon, M.; Revilla, P.; Dominguez, J. Short-term effects of organic and inorganic
fertilizers on soil microbial community structure and function. Biol. Fertil. Soils
2013
,49, 723–733. [CrossRef]
75.
Mangalassery, S.; Kalaivanan, D.; Philip, P.S. Effect of inorganic fertilisers and organic amendments on soil
aggregation and biochemical characteristics in a weathered tropical soil. Soil Tillage Res.
2019
,187, 144–151.
[CrossRef]
76.
Hoch, G. Reciprocal root-shoot cooling and soil fertilization effects on the seasonal growth of two treeline
conifer species. Plant Ecol. Divers. 2013,6, 21–30. [CrossRef]
77.
Barison, J.; Uphoff, N. Rice yield and its relation to root growth and nutrient-use efficiency under SRI and
conventional cultivation: An evaluation in Madagascar. Paddy Water Environ. 2011,9, 65–78. [CrossRef]
78.
Yousaf, M.; Li, J.; Lu, J.; Ren, T.; Cong, R.; Fahad, S.; Li, X. Effects of fertilization on crop production and
nutrient-supplying capacity under rice-oilseed rape rotation system. Sci. Rep.
2017
,7, 1270. [CrossRef]
[PubMed]
79.
Adu-Kwarteng, E.; Ellis, W.; Oduro, I.; Manful, J. Rice grain quality: A comparison of local varieties with
new varieties under study in Ghana. Food Control 2003,14, 507–514. [CrossRef]
80.
Martin, M.; Fitzgerald, M. Proteins in Rice Grains Influence Cooking Properties! J. Cereal Sci.
2002
,36,
285–294. [CrossRef]
81.
Li, X.-G.; Liu, H.-Y.; Jin, Z.-X.; Liu, H.-L.; Huang, X.; Xu, M.-L.; Zhang, F.-Z. Changes in Activities of Key
Enzymes for Starch Synthesis and Glutamine Synthetase in Grains of Progenies from a Rice Cross During
Grain Filling. Rice Sci. 2010,17, 243–246. [CrossRef]
Agronomy 2019,9, 651 20 of 20
82.
Forde, B.G.; Lea, P.J. Glutamate in plants: Metabolism, regulation, and signalling. J. Exp. Bot.
2007
,58,
2339–2358. [CrossRef]
83.
Verma, D.K.; Mohan, M.; Prabhakar, P.K.; Srivastav, P.P. Physico-chemical and cooking characteristics of
Azad basmati. Int. Food Res. J. 2015,22, 1380–1389.
84.
Kang, H.J.; Hwang, I.K.; Kim, K.S.; Choi, H.C. Comparison of the physicochemical properties and ultra
structure of japonica and indica rice grains. J. Agric. Food Chem. 2006,54, 4833–4838. [CrossRef]
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