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Cotton leaf curl virus disease a principle cause of decline in cotton productivity in Pakistan (a mini review)

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Among most serious threats of last two decades with reference to cotton crop in Pakistan is Cotton leaf Curl Virus. This disease inflicted huge losses not only to the cotton crop but also to the economy of Pakistan. It first appeared in 1967 on few plants in Multan and in 1992-93, caused a decline in production down to 9.05 million bales and during 1993-94, to 8.04 million bales well below the estimated targets in Pakistan. Various disease inducing procedures like grafting, delayed sowing, whitefly mediated disease transfer were exploited to screen out material against this notorious disease. Climate change and weather fluctuations have a profound influence on the spread of Cotton Leaf Curl Virus. Climate change is altering temperature and precipitation patterns, resulting in the shift of some insect/pest from small population to large population thus effecting crops yield. The abiotic factors like temperature and plant age influence cotton leaf curl virus disease epidemiology. Fiber quality traits like Ginning out turn, fiber length, fiber uniformity index, fiber fineness, fiber bundle strength, maturity ratio also deteriorated because of change in composition of major fiber components including cellulose, protein, wax and pectin. The ambiguity about inheritance is also prevailing whether it could be through dominant or recessive genes which may be monogenic or polygenic whereas Extrachrmosomal inheritance is also under discussion. The resistance break down depends upon the evolutionary potential of the pathogen and possibility of recombinations, by which new variants of viruses evolved. The resistance gained for Multan-CLCuV became susceptible to Burewala-CLCuV due to virus mutation and lack of durable resistance. Virus tolerant cultivars along with management practices like changing sowing dates, proper crop nutrition, better cultural practices, efficient vector control and buffer crops are the ways that can help to get better crop. Systemic poisoning of cotton seed by seed treatment may make the cotton crop safe in initial 40-50days after sowing. Biotechnology can also help in controlling this disease through transcriptional gene silencing. By exploiting biotechnological tools broad spectrum resistance can be introduced against all viruses present in the field.
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Farooq et al. (2014) Canadian Journal of Plant Protection. Vol. 2, No. 1
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Canadian Journal of Plant Protection. Volume 2, Number 1, Pages 9-16 ©2014 Canadian Science and Technology Press Inc.
Cotton leaf curl virus disease a principle cause of decline in cotton
productivity in Pakistan (a mini review)
J. Farooq1*, A. Farooq1, M. Riaz1 , M. R. Shahid1, F. Saeed1, M. S. Iqbal1. T. Hussain2, A. Batool3, and A. Mahmood4
1Assistant Research Officer, Cotton Research Institute, Ayub Agricultural Research Institute, Jhang Road, Faisalabad.
2 Consultant, Cotton in International Center for Agricultural Research in Dry Areas (ICARDA), Pakistan Office
3Assistant Plant Pathologist, Pulses Research Institute, Jhang Road, Faisalabad.
4Director General Agri. Research, Ayub Agricultural Research Institute, Jhang Road, Faisalabad, Pakistan
* Corresponding author’s email address: CJPP 02-01-04
Abstract
Among most serious threats of last two decades with reference to cotton crop in Pakistan is Cotton leaf Curl Virus.
This disease inflicted huge losses not only to the cotton crop but also to the economy of Pakistan. It first appeared in
1967 on few plants in Multan and in 1992-93, caused a decline in production down to 9.05 million bales and during
1993-94, to 8.04 million bales well below the estimated targets in Pakistan. Various disease inducing procedures like
grafting, delayed sowing, whitefly mediated disease transfer were exploited to screen out material against this
notorious disease. Climate change and weather fluctuations have a profound influence on the spread of Cotton Leaf
Curl Virus. Climate change is altering temperature and precipitation patterns, resulting in the shift of some
insect/pest from small population to large population thus effecting crops yield. The abiotic factors like temperature
and plant age influence cotton leaf curl virus disease epidemiology. Fiber quality traits like Ginning out turn, fiber
length, fiber uniformity index, fiber fineness, fiber bundle strength, maturity ratio also deteriorated because of
change in composition of major fiber components including cellulose, protein, wax and pectin. The ambiguity about
inheritance is also prevailing whether it could be through dominant or recessive genes which may be monogenic or
polygenic whereas Extrachrmosomal inheritance is also under discussion. The resistance break down depends upon
the evolutionary potential of the pathogen and possibility of recombinations, by which new variants of viruses
evolved. The resistance gained for Multan-CLCuV became susceptible to Burewala-CLCuV due to virus mutation
and lack of durable resistance. Virus tolerant cultivars along with management practices like changing sowing dates,
proper crop nutrition, better cultural practices, efficient vector control and buffer crops are the ways that can help to
get better crop. Systemic poisoning of cotton seed by seed treatment may make the cotton crop safe in initial 40-
50days after sowing. Biotechnology can also help in controlling this disease through transcriptional gene silencing.
By exploiting biotechnological tools broad spectrum resistance can be introduced against all viruses present in the
field.
Keywords: Epidemiology, Inheritance, Polygenic, Pakistan, Gene silencing, Extrachrmosomal
The importance of cotton is evident from the fact that
it is not only the most important fiber crop but also
the second most important oilseed crop of the world
(Cherry and Leffler, 1984). In Pakistan Cotton
(Gossypium hirsutum L.) is grown in warmer
climates throughout the country (Riaz et al. 2013). In
previous twenty years Cotton leaf curl virus disease
has become a serious threat to cotton productivity in
Pakistan. Sustainable cotton production requires
identification and cultivation of stable cultivars
Farooq et al. 2013. The yield sustainability in cotton
still not attains because of several causes but CLCuD
is notorious one. Cotton leaf curl virus has interesting
evolutionary story. It was reported first in Nigeria
(1912) on Gossypium peruvianum and Gossypium
vitifolia, Sudan (1924), Tanzania (1926), Philippine
(1959) but in Pakistan CLCuD was first recorded in
the 1967 in Multan district on scattered hirsutum
plants (Hussain and Ali, 1975). It was not well
thought-out as a serious disease up to 1987 but
appeared in epidemic form in 1992-1993 when 1.3
million bales of cotton were lost over an area of
24.28 hectares. The financial losses with the
estimated value of $5 billion (US) to the nation
occurred from 1992-1997 (Briddon and Markham.,
2001). In 1997, CLCuD was reported from Sindh
province of Pakistan which was previously free from
this disease (Mansoor et al., 1998). It is very
complicated to calculate the precise estimates
because the occurrence of CLCuD varies from year to
year and also varies from area to area under cotton
cultivation.
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Farooq et al. (2014) Canadian Journal of Plant Protection. Vol. 2, No. 1
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Symptoms
Cotton leaf curl disease (CLCuD) infected plants may
show a wide range of symptoms depending on the
severity of disease. Typical symptoms include
thickening and yellowing of small veins on the lower
surface of young leave. Under severe attack of
disease leaves curl downward or upward and plant
growth stunted due to reduction of inter-nodal
distance and in some cases an outgrowth called
enation appears on lower side of curled leaves (Qazi
et al., 2007). Cotton plant infected with CLCuD
showing veins thickening and yellowing, upward
curling (Fig. 1), down ward curling (Fig. 2), enations
(Fig. 3) on the underside of the leaves, Stunting of
cotton plant (Fig. 4).
Figure 1. Upward curling along with thickening of
leaves of cotton plant.
Fig 2. Severe curling along with thickening of leaves
of cotton plant.
Figure 3. Enations on the underside of Cotton leaf.
Figure 4. Stunting of the cotton plant.
Chasing symptoms
The attack of sucking pests (Jassid and Whitefly) on
cotton (Gossypium hirsutum L.) and their symptoms
resemblance with cotton leaf curl virus disease create
a difficulty by virtue of assessment among the
farmers and researchers at early stages of plant
development. The cotton leaf curl virus disease
(CLCuD) symptoms coincidence with attack of Jassid
(Empoasca facialis) that suck cell sap under side of
leaves by which leave render down ward curling, turn
yellowish to brown, retard fruiting capacity, sever
incidence results stunting growth of young plants,
reduce seed cotton yield and fiber quality. Whitefly
(Bemisia tabaci) is also sucking pest that causes
similar infection like Jassid but with an extra
responsibility of virus transmitting vehicle.
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Farooq et al. (2014) Canadian Journal of Plant Protection. Vol. 2, No. 1
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As the symptoms are identified the percent asperity
and range of rating scales of symptoms are still under
discussion. Keeping in view the severity of disease
the rating scales for viral diseases are also used other
than cotton crop like tomato, Chilli, Cucumber and
Tobacco with the range of zero to six numerically,
where these scale give the symptom description also
determined the level of resistance or susceptibility. If
we keenly observe the scale 2 and 3 with reference to
moderately resistance and moderately susceptible
both are vice versa but used separately. The disease
scale that has been generally used in cotton is based
on Severity Index (SI) and Percent Disease Index
(PDI %). The formula used to calculate both of these
two parameters has been reported by Akhtar et al.
2003, 2010 and given in Table 1.
Table 1. Disease scale proposed by Akhtar et al. 2010
Symptoms
Disease index%
Rating
Disease Response
Complete absence of symptoms
0
0
Immune
Thickening of few small scattered veins or only presence of leaf enations on
one or few leaves of a plant observed after careful observations.
0.110
1
Highly resistant
Thickening of small group of veins, no leaf curling, no reduction in leaf size
and boll setting.
10.1-20
2
Resistant
Thickening of all veins, minor leaf curling & deformity of internode with minor
reduction in leaf size but no reduction in boll setting.
20.1-30
3
Moderately resistant
Severe vein thickening, moderate leaf curling followed by minor deformity of
internodes and minor reduction in leaf size and boll setting.
30.1-40
4
Moderately susceptible
Severe vein thickening, moderate leaf curling & deformity of internodes with
moderate reduction in leaf size and boll setting followed by moderate stunting.
40.1-50
5
Susceptible
Severe vein thickening, leaf curling, reduction in leaf size, deformed internodes
and stunting of the plant with no or few boll setting.
>50
6
Highly susceptible
Foliar outgrowths (enation) will be marked with ‘‘E’’ where observed. (This rating scale is proposed by Akhtar et al. 2010 in cotton).
Whitefly and virus
A notorious group of viruses belongs to genus
Begomovirus cause major threat to cotton crop,
which is well known as Cotton Leaf Curl Virus
disease (CLCuD) and is transmitted by whitefly i.e.
Bemisia tabaci complex (including B. argentifolii) in
persistent manner (Rybicki and Fauquet, 1998). Most
of the begomoviruses comprised of two genomic
components called DNA-A and DNA-B, which are
indispensable for disease that is transmitted by
whitefly Bemisia tabaci (Monga et al. 2011).
Cotton whitefly reported as pest of Tobbaco over 100
years ago (Anonymous, 1993). It is the most vital
sucking pest of both industrial and food crops like
Cotton, Sunflower, Melon, tomato, Brinjal etc. (Rafiq
et al., 2008). Its polyphagous nature is confirmed
over 500 plant species all over the world including
Asia, Africa, America, Europe, Russia, Australia and
Pacific Islands (Greathead, 1986). In cotton growing
areas of Central Punjab it has been reported in about
164 plant species (Attique et al., 2003). In 16 of the
27 cotton growing countries whitefly is recognized as
a major pest during mid to late sowing time.
Conditions suitable for the spread of disease
Climatic conditions like rainfall, wind and
temperature have an influence in the spread of
CLCuD in Africa. Rainfall prior to seedling may
result in the development of increased population of
vector due to abundance in food source (Bink, 1975).
Ahmed et al .2013 found significant correlation
between CLCuD and temperature and between
CLCV and PAN evaporation during the month of
July in Multan district of Pakistan which is
considered to be the hot spot area for this disease.
As cotton is grown only for part of the year
cultivated hosts and alternate weeds serve as virus
reservoirs. Whitefly infects cotton fields and primary
sites of infections established. Secondary spread to
other plants may occur from the primary sites and
from additional vector which enter the field during
the whole growing season (Giha and Nour, 1969).
Khan et al. (1998) used regression analysis on
weekly air temperature (Maximum and Minimum),
rainfall, relative humidity and wind movement
relationship with % plant infection by CLCuD on
eight varieties of cotton. Disease infestation increased
in the range of Maximum and Minimum temperatures
of 33-45°C and 25-30°C, respectively. They also
reported poor correlation of weekly rainfall and
humidity with disease development and non
significant between CLCuD intensity and whitefly
population on all varieties studied. Akhtar et al.,
2002b found non significant correlation of weekly
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Farooq et al. (2014) Canadian Journal of Plant Protection. Vol. 2, No. 1
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maximum air temperature (°C), % relative humidity
(5 p.m.), wind velocity, rainfall, sunshine and white
fly population on thirteen mutant/varieties and
negative significant correlation between minimum air
temperature and wind velocity (8 a.m.) for CLCuV
disease development. They also found positive and
significant correlation between % disease incidence
and plant age. Maximum disease index % was
recorded at 6 week old seedlings and it gradually
decreased with increase in age of plant. Many
researchers found non significant relationship of
white fly population with disease (Briddon et al.,
1998).
Effect of CLCuD on yield and fiber traits
Losses due to CLCuD are dependant on infectivity
time and variety. The pronounced damage of CLCuD
is at early stages but at later stages results minor
infections (Akhtar et al., 2003). CLCuD damage
differs on various plant parts and ultimately results in
reduction of yield. It can reduce boll weight 33.8%,
73.5% in bolls per plant, GOT% upto 3.93%, seed
index 17.0% and yield per plant 64.5% (Ahmed,
1999). Production losses due to CLCuV during last
20 years are given in Table 2. The cotton fiber (lint)
is the most important commodity for textile industry
and CLCuD also affects fiber quality traits (Kalhoro
et al., 2002). According to Ahmed et al., 1999
CLCuD can decrease fiber length 3.44%, fiber
strength 10% and elongation percentage upto 10%.
Akhtar et al. 2009 studied impact of CLCuD on fiber
quality traits and the findings depicts that the CLCuD
significantly affect traits like GOT, fiber length, fiber
uniformity index, short fiber index, fiber fineness,
fiber bundle strength yellowness and maturity ratio.
In their studies they observed significant affects of
this viral disease on cellulose, protein, wax and pectin
which are the major constituent of fiber. But in view
of Idris (1990) virus has significant impact on yield
but not on fiber quality.
Table 2. Losses to area (1000) hectares and production (1000) bales of cotton due to CLCuV in Pakistan in last 20 years.
Partial losses
Complete losses
Total area affected (1000) hectares
Losses (1000) bales
-
0.06
0.06
0.3
-
0.2
0.2
1
-
0.8
0.8
4
11.3
2.8
14
20
364
121
485
750
607
282
889
1880
407
-
407
221
882
-
882
447
1623.9
137.4
1761
2100
762.9
19.5
782
1118.1
457.9
-
458
587.1
289.1
-
289
370.5
90.1
-
90
111.2
66.6
-
67
82.3
357.7
2.15
359
265
488.7
14.1
503
503.9
127.8
31.1
130
967.1
1686
25.21
1712
1231.7
1432.8
2.5
1435
953.5
1440.1
40.25
1480
1115.7
Resistance inheritance
When the actual designation of disease is realized
about its symptoms, vector (whitefly), transmission
and environmental conditions then the next step is to
solve the problem only on genetic basis rather than
the Entomological, Pathological and Agronomical
schools of thoughts, which are also important. As the
inheritance of resistant genes for disease is still under
discussion whether it is nuclear (nucleus) or extra-
nuclear (cytoplasm) but both reports about maternal
effects are available (Khan et al., 2007). The breeding
for cotton leaf curl disease (CLCuD) resistance has
been achieved through assemblage of minor genes by
recurrent selection (Hutchinson and Knight, 1950)
and similar sayings by Azhar et al., (2010) that the
resistance depends on major genes (dominant genes)
may lost quickly because of evolution of pathogen for
these genes. An alternative approach is needed for
partial resistance that depends on the recombination
of minor genes (recessive genes).
Resistance breakdown
The secret of inheritance is still under discussion and
another idea of resistance breakdown was initiated
that so called achieved resistance has been broken
down by virus mutation whereas the symptoms and
parameters for identification are still same in practice.
García and McDonald, 2003 reported that the virus
mutation requires 25 years at least then who does it
possible after 1967s our researchers get early
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Farooq et al. (2014) Canadian Journal of Plant Protection. Vol. 2, No. 1
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resistance and instantly destroyed the integrity.
Whereas the changing climate scenario, cotton
varieties either susceptible are sown early can escape
from virus and whitefly but the resistant one could be
susceptible in late sowing which is the cause of
ambiguity between susceptible and resistant.
The concept of polygenic mode of inheritance of
cotton leaf curl disease was changed into single
dominant gene (with minor modifier genes) as
determined by Saddig (1968) and also clarified by
Ahuja et al. (2007). The cross between Gossypium
barbadense L. (Giza-45) and Gossypium hirsutum L.
(Reba P-288) determined the effects of single
dominant gene supported by Aslam et al. (2000). The
F1 of crosses between highly susceptible S-12, highly
resistant LRA-5166 varieties were found all virus
free plants and their F2 was close to 1:3 ratios which
exhibit the presence of single gene for the inheritance
of resistance against CLCuD reported by Rehman et
al. (2005), Whereas in same cross (LRA-5166 × S-
12) no single gene of major effect found to be
responsible for cotton leaf curl disease (Khan et al.,
2007).
Resistance sources
The wild species of Gossypium are potential source
of resistance to biotic (insect and diseases) and
abiotic (salinity, cold, drought, heat) stresses. G.
anomalum, G. longicalyx, G. stocksii, G, raimondii
and G. sturtianum have a source for the improvement
of fiber quality characters whereas G. thurberri, G.
anomalum, G. raimondii, G. armourianum and G.
tomentosum are the best sources for resistance of
insect pests including whitefly which is the main
vector for the inoculation of CLCuD (Azhar et al.,
2010).
Screening methods employed to develop CLCuD
tolerant materials
Screening methods those commonly used is the
exploitation of virus spreader line (S-12) and white
fly as a source of transmission vector Shah et al.
2004 and Perveen et al. 2005. For transmission
through spreader line these researcher used S-12 the
popular and most susceptible variety to CLCuD
disease. This variety was planted in rows among the
tested genotypes for natural spreader of disease. Shah
et al. 2004 proposed whitefly mediated transmission
using insect proof cages. Another method that was
used for screening is the sowing time difference i.e.
normal and late sowing along with disease nursery
(Ahuja et al., 2007; Perveen et al., 2010). They
established CLCuD nursery near the experimental
area to allow the spread of whitefly vector throughout
the season and tested different sowing dates.
Grafting is the most efficient method to transmit the
causal agent as grafted plants develop symptoms
within 14-30 days depending upon varietal
susceptibility/resistance (Akhtar et al. 2001; 2002b).
Grafting as a successful method to inoculate CLCuD
was used by Akhtar et al. 2002 (a, b, c), 2004, 2010
and Shah et al. 2004. For grafting researchers
employed three procedures like Bottle graft, top cleft
and wedge graft. In this procedure the stock used as
resistant and scion as susceptible source for
inoculation of disease and later presence of virus was
confirmed by the use of ELISA.
PCR can be used as a reliable tool for the detection of
viruses. As the geminiviruses are small, single
stranded and have circular genome thus PCR can be
efficiently used for their detection. Several
degenerate primers have been designed for the
detection of these viruses (Briddon and Markham
1994). With the help of these primers previously
uncharacterized geminiviruses can be amplified, and
primers designed on the basis of non-conserved
sequence can be exploited to detect a particular virus
and strain of that virus (McGovern et al., 1994).
Another method to screen the germplasm against
cotton leaf curl virus is through inoculation using
veruliferous whiteflies in net house conditions either
by open choice method or through release of counted
veruliferous flies on test plants under plastic jars in
polyhouse for fixed interval (Monga et al., 2011)
Pollen irradiation technique may be used as a
criterion to develop CLCuV tolerant material for
creating genetic variability in cotton germplasm.
Aslam and Elhai 2000 used pollen irradiation
technique. They attempted different crosses as
reported earlier by Doak, (1934) by applying
irradiation doses i.e., 5-10Gy (Aslam and Stelly,
1994) to create more genetic variability.
Control measures (non-biotechnological tools) and
recommendations
Though the solution of various diseases is the
development of disease tolerant varieties but disease
management is quite appropriate when resistance
sources are inadequate. In cotton host plant resistance
is the best long term and explored strategy to protect
the plants from CLCuD (Solomon-Blackburn and
Bradshaw, 2007). Cotton leaf curl disease spread
from the primary inoculum that is present in off
season in the form of weeds and other hosts (Monga
et al., 2001). The management of CLCuD includes
control of vector whitefly and eradication of weeds
that contribute the hospitality of Cotton leaf curl virus
(Monga et al., 2001).
The seed treatment with systemic insecticides may
prevent the cotton crop up to 50-60 days. By using
insecticides even if infection occurs at later stage the
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Farooq et al. (2014) Canadian Journal of Plant Protection. Vol. 2, No. 1
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severity of losses may be avoided as symptoms
appearance will begin after 65-90 days and plants
avoid the most susceptible stage (Monga et al.,
2011).
Growth and production of cotton is reduced by both
abiotic and biotic stresses Zafar and Athar 2013.
Biotic stresses or diseases affect uptake and
utilization of nutrients by plants. It is therefore, plant
mineral nutrition management not only used for
producing higher crop productivity; it also used to
change plant responses to biotic stresses disease
incidences (Walters & Bingham, 2007). Various
agronomic practices like sowing time and application
of nutrients (Nitrogen and Potassium) can serve the
purpose. The knowledge about K nutrition on
association between plants and pests may help in
developing strategies to set up high yielding
production system by reducing disease incidence
Zafar and Athar. 2013. Choosing best sowing time
for a particular variety in different regions is difficult
as too early and too late sowing may result in
problems of diseases and pests. Appropriate sowing
time preferably mid April to mid May results in
decrease of disease incidence (Ghazanfar et al., 2007)
as compared to delay in sowing from mid May to
June. Iqbal and Khan 2010 reported that increased
plant spacing in case of early sowing and decreased
plant spacing under late sown conditions is effective
in management of CLCuD. They also concluded that
CLCuD infestation reached its maximum after 105
days of sowing and in case of late sown crop i.e. 15
June or later infestation become severe after 45 days
of sowing. They recommended 15 cm plant spacing
in order to manage CLCuD in case of planting later
than 15th of June.
According to Zafar et al. 2010 by understanding the
physiological basis of nutrition (nitrogen) strategies
can be designed to prevent, escape, avoid and control
viral diseases. In case of resistant cultivars nitrogen
concentration does not affect but in susceptible
cultivars its concentration plays an important role to
tackle disease severity. The most recommended
management practices to tackle CLCuD disease
include virus resistant cultivars, management of
causal agents and mineral nutrition (Akhtar et al.,
2004). The influence of Potassium (K) application on
disease through specific metabolic functions alters
the relationship of host-parasite environment (Kafkafi
et al., 2001). Pervez et al. 2007 conducted an
experiment on role of Potassium (K) in the control of
CLCuD. According to their studies by increased
application of Potassium upto 250kg/ha results in the
reduction of disease from 12 to 38%. This increased
application contributed considerably as seed cotton
yield increased up to 37% as compared to Zero-K.
ACoording to Farooq et al. 2013 the traits like plant
height, bolls per plant and sympodia per plant may be
considered for selection in virus intensive conditions
as they found higher estimates of broad sense
heritability along with positive and significant
genotypic correlation with seed cotton yield in virus
intensive environment.
Recent advances to combat clcuv through
biotechnological tools
In plants lacking natural disease resistance PDR
approach has been documented to combat different
viruses. According to Hashmi et al. (2011) by
exploiting transcriptional control two truncated forms
of replicase (tACI) gene, capable of expressing only
N-terminal 669bp (5'ACI) and C-Terminal
783bp(3'ACI) nucleotides were introduced into
Gossypium hirsutum through cloning. A strain LBA
4404 of Agrobacterium tumefaciens was used
through interference technology to impair cotton leaf
curl virus in transgenic cotton. When transformed
plants were compared with control non-transformed
plants the over expression of either of the above
mentioned nucleotides confer resistance by inhibition
of viral genomic and β satellites DNA components.
In early and late growth stages Northern blot
hybridization revealed high transgene expression
(Hashmi et al., 2011).
Conclusion
Various aforementioned procedures of controlling
CLCuD can be implemented depending upon
situation. Development of resistant varieties along
with Agronomic, fertilizer, insecticidal control and
biotechnological methods can be used alone and in
combination to control this severe disease which is
still a challenge even after twenty years of extensive
research.
References
Ahmed, A., Akhtar, A., Khalid, B., and Shamim, A. 2013.
Correlation of meteorological parameters and remotely
sensed normalized difference vegetation index (NDVI)
with cotton leaf curl virus (CLCV) in Multan. J. Phys.:
Conf. Ser. 439. 012044. doi:10.1088/1742-
6596/439/1/012044
Ahmed, Z., 1999. Prospects and bottlenecks of cotton crop
in Pakistan. The Pak. Cotton. Grower., 3: 6-7.
Ahuja, S.L., Monga, D., and Dhayal, L.S. 2007. Genetics of
resistance to cotton leaf curl disease in Gossypium hirsutum
L. under field conditions. J. Heredity., 49: 1-5.
Akhtar, K.P., Haider, S., Khan, M.K.R., Ahmad, M.,
Sarwar, N., Murtaza, M.A. and Aslam, M., 2010.
Evaluation of Gossypium species for resistance to leaf curl
burewala virus. Ann. App. Biol., 157: 135-147.
www.CanadianSTpress.com
Farooq et al. (2014) Canadian Journal of Plant Protection. Vol. 2, No. 1
15
Akhtar, K.P., Haq, M.A., Hussain, M., and Khan, A.I.
2002a. Whitefly transmitted geminiviruses and associated
disorders in cotton, a: review. Pak. J. Phytopathol., 14: 140-
150.
Akhtar, K.P., Hussain, M. and Khan, A.I. 2002b. Cotton
leaf curl virus disease severity in relation to environmental
conditions. Pak. J. Phytopathol., 15: 1-4.
Akhtar, K.P., Hussain, M., Khan, A.I., Haq, M.A. and
Iqbal, M.M. 2004. Influence of plant age, whitefly
population and cultivar resistance on infection of cotton
plants by cotton leaf curl virus (CLCuV) in Pakistan. Field.
Crops. Res., 86: 15-21.
Akhtar, K.P., Khan, A.I., and Khan, M.S.I. 2001. Response
of some cotton varieties to leaf curl virus through grafting.
Pak. J. Phytopathol., 13: 91-95.
Akhtar. K.P., Khan, A.I. and Khan, M.S.I. 2002c. Improved
bottle shoot grafting technique/method for the transmission
of cotton leaf curl virus (CLCuV). Nucleus., 39: 115-117.
Akhtar, K.P., Wasim, M., Ishaq, W., Ahmed, M., and Haq,
M.A. 2009. Deterioration of cotton fiber characteristics
caused by cotton leaf curl disease. Spanish. J. Agric. Res.,
7(4): 913-918.
Anonymous., 1993. A Research compendium of cotton leaf
curl viral disease and its management. PARC, Islamabad.
pp. 62.
Aslam, M., and Elahi, T. 2000. Induction and early
evaluation of a high yielding elite cotton mutant line, PIM-
76-8 through the use of pollen irradiation. Pak. J Biol. Sci.,
3: 505-507.
Aslam, M., Jiang, C., Wright, R., and Paterson, A.H. 2000.
Identification of molecular markers linked to leaf curl virus
disease resistance in cotton. J. Sci. I. R. Iran., 11(4): 277-
280.
Aslam, M., and Stelly, D.M. 1994. Attempted egg-
transformation by pollen irradiation in the cotton genus,
Gossypium. Bangladesh J. Nuclear Agric., 10: 18.
Attique, M.R., Rafiq, M., Ghaffar, A., Ahmad, Z., and
Mohyuddin, A.I. 2003. Hosts of Bemisia tabaci (Gen.)
(Homoptera; Aleyrodidae) in cotton areas of Punjab,
Pakistan. Crop. Protect., 22: 71520.
Azhar, M.T., Amin, I., Anjum, Z.I., Arshad, M., Briddon,
R.W., and Mansoor, S. 2010. Both Malvaceous and Non-
Malvaceous betasatellites are associated with two wild
cotton species grown under field conditions in Pakistan.
Virus. Genes., 4(3) 417-424.
Azhar, M.T., Rehman, M.U., Aftab, S., Zafar, Y., and
Mansoor, S. 2010. Utilization of natural and genetically-
engineered sources in Gossypium hirsutum for the
development of tolerance against cotton leaf curl disease
and fiber characteristics. Int. J. Agric. Biol., 12: 744-748.
Bink, F.A. 1975 Leaf curl and mosaic diseases of cotton in
central Africa. Empire cotton growing review., 52: 133-41.
Briddon, R.W., and Markham, P.G. 1994. Universal
primers for dicot-infecting geminiviruses. Mol. Biotechnol.,
1: 202-205.
Briddon, R.W., and Markham PG (2001) Cotton leaf curl
virus disease. Virus. Res. 71: 151-159
Briddon, R.W., Mansoor, S., Pinner, M.S., and Markham,
P.G. 1998. Infectious clones of cotton leaf curl virus. 2nd
Int. workshop on Bemisia and geminiviral disease. Jun 7-12
San Juan, Puerto Rico (Abst) pp. 35.
Cherry, J.P., and Leffler, H.R. 1984. Seed. In: Kohel, R.J.
and Lewis, C.F. (eds.), Cotton, pp. 511569. ASA,
Madison, WI
Doak, C.C. 1934. A New Technique in Cotton Hybridising.
Heredity. 25: 2014
García-Arenal, F., and McDonald, B.A. 2003. An analysis
of the durability of resistance to plant viruses.
Phytopathology., 93: 941-952.
Ghazanfar, M.U., Sahi, S.T., Ilyas, M.B., and Randhawa,
M.A. 2007. Influence of sowing dates on CLCuV incidence
in some cotton varieties. Pak. J. Phytopathol., 19(2): 177-
180.
Giha, O.H., and Nour, M.A. 1969. Epidemiology of cotton
leaf curl virus in the Sudan. Cotton. Grower. Rev., 46: 105-
118.
Greathead, A.H. 1986. Host plants. In: Cock, (ed.), Bemisia
tabaci, A Literature Survey on the Cotton Whitefly with an
Annotated Bibliography, pp. 1726. CAB International UK
Hussain, T., and Ali, M. 1975. A review of cotton diseases
in Pakistan. Pak. Cottons., 19: 71-86.
Hutchinson, J.B., and Knight, R.L. 1950. Response of
cotton to leaf curl disease. J. Genetics., 50: 100-111.
Idris, A.M. 1990. Cotton leaf curl disease in Sudan. Med.
Fac. Landbow, Rijksunir, Gent, 55 (29)
Iqbal, M., and Khan, M.A. 2010. Management of Cotton
leaf curl virus by planting time and plant spacing. AAB
BIOFLUX., (2)1
Hashmi, J.A., Zafar, Y., Arshad, M., Mansoor, S., and
Asad, S. 2011. Engineering cotton (Gossypium hirsutum L.)
for resistance to cotton leaf curl disease using viral
truncated ACI DNA sequences. Virus. Genes., 42: 286-296.
Kafkafi. U., Xu, G., Imas, P., Magen, H., and Tarchitzky, J.
2001. Potassium and Chloride in Crops and Soils: The Role
of Potassium Chloride Fertilizer in Crop Nutrition.
Research Topics No. 22, International Potash Institute,
Basel, Switzerland, p. 101-103.
Kahlhoro, A.D., Soomro, A.R., Amjum, R., and Kalwar,
G.H. 2002. Seed cotton yield, lint percentage and staple
length of F3 glandless cotton as affected by cotton leaf curl
virus. Indus. J. Pl. Sci. 1(1): 73-75
Khan, A.I., Hussain, M., Rauf, S., and Khan, T.M. 2007.
Inheritance of resistance to cotton leaf curl virus in cotton
(Gossypium hirsutum L.). Pl. Protection. Sci., 43(1): 5-9.
www.CanadianSTpress.com
Farooq et al. (2014) Canadian Journal of Plant Protection. Vol. 2, No. 1
16
Khan, M.A., Mirza, J.H., and Ahmed, S. 1998.
Relationships of environmental conditions conducive to
cotton leaf curl virus disease development. Pak. J.
Phytopathol., 10: 5-8.
Mansoor, S., Hussain, M., Khan, S.H., Bashir, A., Leghari,
A.B., Panwar, G.A., Siddiqui, W.A., Zafar, Y., and Malik,
K.A. 1998. Polymerase chain reaction-based detection of
cotton leaf curl and other whitefly-transmitted
geminiviruses from Sindh. Pak. J. Biol Sci.,1: 39-43.
McGovern, R.J., Polston, J.E., Danyluk, G.M., Hiebert, E.,
Abouzid, A.M., and Stansley, P.A. 1994. Identification of a
natural weed host of tomato mottle geminivirus in Florida.
Pl. Dis., 78: 1102-1106
Monga, D., Chakrabarty, P.K., and Kranthi, R. 2011.
Cotton leaf Curl Disease in India-recent status and
management strategies. Presented in 5th meeting of Asian
Cotton Research and Development Network Held in Lahore
in Feb 23-25.
http://www.icac.org/tis/regional_networks/asian_network/
meeting_5/documents/papers/PapMongaD.pdf
Monga, D., Narula, A.M., and Raj, S. 2001. Management
of cotton leaf curl virus- A dreaded disease in north India.
Paper published in Book of papers of National seminar on
Sustainable cotton production to meet the future
requirement of industry. Organised by Kapas Vikas
Nideshalya, Directorate of cotton development,
Government of India. pp.112-115.
Perveen, R., Fani, I., Islam, N.U., Haider, S., Chohan, S.,
and Rehman, A.U. 2010. Correlation of biweekly
environmental conditions on CLCuV disease growth in
Pakistan. European J. Scientific Res., 42(4): 614-621.
Pervez, H., Ashraf, M., Makhdum, M.I., and Mahmood, T.
2007. Potassium Nutrition of Cotton (Gossypium hirsutum
L.) in relation to cotton leaf curl virus disease in arid soils.
Pak. J. Bot., 39: 529-539.
Qazi, J., Amin, I., Mansoor, S., Iqbal, J., and Briddon, R.W.
2007. Contribution of the satellite encoded gene βC1 to
cotton leaf curl disease symptoms. Virus. Research., 128:
135139.
Rafiq, M., Ghaffar, A., and Arshad, M. 2008. Population
Dynamics of Whitefly (Bemisia tabaci) on Cultivated Crop
Hosts and their Role in Regulating its Carry-over to Cotton.
Int. J. Agric. Biol., 10(5):577-580
Rehman, M., Hussain, D., Malik, T.A., and Zafar, Y. 2005.
Genetics of resistance to cotton leaf curl disease in
Gossypium hirsutum. Plant. Pathol., 54: 764-772.
Riaz, M., Farooq, J., Sakhawat, G., Mahmood, A., Sadiq,
M.A., and Yaseen, M. 2013. Genotypic variability for
root/shoot parameters under water stress in some advanced
lines of cotton (Gossypium hirsutum L.). Gen. Mol. Res. 12
(1): 552-561.
Riaz, M., Naveed, M , Farooq, J., Farooq, A., Mahmood,
A., Rafiq, Ch. M. , Nadeem, M., and Sadiq, A. 2013.
AMMI Analysis for stability, adaptability and GE
interaction studies in cotton (Gossypium hirsutum L.). The
JAPS., 23(3): 865-871.
Rybicki, E., and Fouquet, C. 1998. Geminiviridae
classification: current concepts and demarcation criteria. 2nd
International workshop on Bemisia and Geminiviral
Diseases. June 7-12, 1998. San Juan, Puerto Rico. pp. 65.
Saddig, M.A. 1968. Genetics of resistance to cotton leaf
curl in Sakel Cotton. J. Agric. Sci., Conf. 70: 99-103
Shah, H., Khalid, S., Naqvi, S.M.S. and Yasmin, T. 2004.
A simple method for screening cotton germplasm against
cotton leaf curl begomovirus. Sarhad J. Agric. Res., 20(3):
453-458.
Solomon-Blackburn, R.M. and Bradshaw, J.E. 2007.
Resistance to Potato virus Y in a multitrait potato breeding
scheme without direct selection in each generation. Potato
Res., 50(1): 87-95
Walters, D.R. and Bingham, I.J. 2007. Influence of
nutrition on disease development caused by fungal
pathogens: implications for plant disease control. Ann.
Appl. Biol., 151: 307-324.
Zafar, U.Z., Athar, H.U.R., and Ashraf, M. 2010.
Responses of two cotton (Gossypium hirsutum L.) cultiars
differing in resistance to leaf curl virus disease to nitrogen
nutrition. Pak. J. Bot. 42(3): 2085-2094.
Zafar, Z.U., and Athar, H.U.R. 2013. Reducing disease
incidence of cotton leaf curl virus (clcuv) in cotton
(Gossypium hirsutum L.) by potassium supplementation.
Pak. J. Bot., 45(3): 1029-1038.
... The first time, it appeared in 1967 on a few cotton plants in Multan. Then from 1992 to 1994, this disease declined the production of about 17 million bales in Pakistan (Farooq et al. 2014). The distinctive symptoms of said virus are leave rolling (inward/upward), veins thinking, or swelling with leaf enations that ultimately leads to stunting growth of cotton plant (Farooq et al. 2014). ...
... Then from 1992 to 1994, this disease declined the production of about 17 million bales in Pakistan (Farooq et al. 2014). The distinctive symptoms of said virus are leave rolling (inward/upward), veins thinking, or swelling with leaf enations that ultimately leads to stunting growth of cotton plant (Farooq et al. 2014). The CLCu Multan Betasatellite is a major pathogenicity factor of this disease complex in Pakistan. ...
Article
Cotton is a major cash crop that is widely cultivated in tropical and subtropical regions around the globe. Cotton leaf curl virus disease is a major threat to lower the cotton yield in Pakistan. The present study aimed to predict the disease severity at different potassium (K) dosses based on abiotic environmental factors with respect to two sowing times. Three potassium (K) doses (90, 60, and 30kg acre−1) were applied to observe the impact on disease severity. In control, no extra K was applied. Two sowings were done at 15days intervals. Data was recorded using at seven days intervals after the appearance of the disease. A significant difference in disease severity was observed in K applied cotton plants and between the two sowing times. Maximum disease severity was noticed in control plants and was found maximum where 90kg acre−1 K was applied. Maximum air temperature, minimum air temperature, rainfall, and windspeed exhibited a negative relationship with disease severity. A positive relationship was seen between disease severity and relative humidity irrespective to sowing times. In 1st sowing, maximum air temperature (35–38°C), minimum air temperature (23–24°C), relative humidity (65–75%), rainfall (1–2mm), and windspeed (1.5–2.5km/h) significantly contributed in disease progression. In second sowing, maximum air temperature (34–36°C), minimum air temperature (19–21°C), relative humidity (75–78%), rainfall (0.5–1.5mm), and windspeed (1.5–2.5km/h) favoured the disease development.
... Pakistan most important fiber and cash crop is cotton and it is the second mainly significant oil seed crop of the world (Farooq et al., 2014) [10] . G. hirsutum belong to the family Malvaceae and genus Gossypium (Azhar et al., 2013) [3] . ...
... Pakistan most important fiber and cash crop is cotton and it is the second mainly significant oil seed crop of the world (Farooq et al., 2014) [10] . G. hirsutum belong to the family Malvaceae and genus Gossypium (Azhar et al., 2013) [3] . ...
... Cotton (Gossypium hirsutum) is a significant cash and fiber crop in Pakistan, contributing approximately 8.6 percent to agriculture and 1.8 percent to the country's GDP (Azhar et al., 2013;Farooq et al., 2014). In 2020, cotton was cultivated on 2,078,899 hectares in Pakistan,producing 3,454,334 tons with an average yield of 16,616 kg/hectare (FAO, 2021). ...
... Cotton is an economically important crop in Pakistan, serving as a source of cash for growers and producing fiber (Azhar et al., 2013;Farooq et al., 2014). Despite its value, the average yield of cotton is often insufficient due to the effects of various biotic and abiotic factors. ...
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Cotton leaf curl disease (CLCuD) caused by Begomovirus(s) is economically important disease of cotton in Pakistan. Management of CLCuD using natural sources of resistance has great significance and is recognized as long term management strategy. In present study, we evaluated resistant potential of 33 cotton genotypes in agro-ecosystem of Sindh, Pakistan within thrice repeated experiments. Observations were taken at interval of 30 days after sowing on incidence and severity of CLCuD under field conditions. Then the disease index was calculated from values of initial observations on incidence and severity of the disease at each time point and finally Area Under the Disease Progress Curve (AUDPC) was calculate for the disease index and presented as semi-quantitative estimate of the disease. Results showed that there was significant difference among AUDPC values of the disease index of tested genotype (LSD=41666, P=0,0000 and LSD=70297, P= 0.0000) during 2018 and 2019, respectively. Significantly highest AUDPC value was recorded in BT.CIM-678 (664109) followed by CRIS-585 (277732) and CRIS-613 (133917) and CRIS-522 (159272) during 2018. The remaining genotypes gave significantly lower AUDPC values. Similar results were obtained during next year of experiment. Therefore, it is concluded that cultivation of BT.CIM-678, CRIS-585, CRIS-613 and CRIS-522 should be avoided in agro-ecosystem of Sindh. Further studies should be conducted for eco-friendly management of the disease.
... While Pakistan has been a major player in cotton production, it is worth noting that pest attack, drought, and the CLCuV cause a significant loss of yield every year. Over the past three decades, the yield of cotton has been reduced by 30-35% due to CLCuV, which resulted in direct economic consequences for Pakistan (Farooq et al., 2014;Hameed et al., 2014;Rosen et al., 2015;Rehman et al., 2019). The characteristic symptoms of cotton curl leaf disease include vein darkening, leaf curling, enation and vein swelling (Bananej et al., 2016). ...
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Begomoviruses are contagious and severely affect commercially important fiber and food crops. Cotton leaf curl Multan virus (CLCuMuV) is one of the most dominant specie of Begomovirus and a major constraint on cotton yield in Pakistan. Currently, the field of plant genome editing is being revolutionized by the CRISPR/Cas system applications such as base editing, prime editing and CRISPR based gene drives. CRISPR/Cas9 system has successfully been used against biotic and abiotic plant stresses with proof-of-concept studies in both model and crop plants. CRISPR/Cas12 and CRISPR/Cas13 have recently been applied in plant sciences for basic and applied research. In this study, we used a novel approach, multiplexed crRNA-based Cas12a toolbox to target the different ORFs of the CLCuMuV genome at multiple sites simultaneously. This method successfully eliminated the symptoms of CLCuMuV in Nicotiana benthamiana and Nicotiana tabacum. Three individual crRNAs were designed from the CLCuMuV genome, targeting the specific sites of four different ORFs (C1, V1 and overlapping region of C2 and C3). The Cas12a-based construct Cas12a-MV was designed through Golden Gate three-way cloning for precise editing of CLCuMuV genome. Cas12a-MV construct was confirmed through whole genome sequencing using the primers Ubi-intron-F1 and M13-R1. Transient assays were performed in 4 weeks old Nicotiana benthamiana plants, through the agroinfiltration method. Sanger sequencing indicated that the Cas12a-MV constructs made a considerable mutations at the target sites of the viral genome. In addition, TIDE analysis of Sanger sequencing results showed the editing efficiency of crRNA1 (21.7%), crRNA2 (24.9%) and crRNA3 (55.6%). Furthermore, the Cas12a-MV construct was stably transformed into Nicotiana tabacum through the leaf disc method to evaluate the potential of transgenic plants against CLCuMuV. For transgene analysis, the DNA of transgenic plants of Nicotiana tabacum was subjected to PCR to amplify Cas12a genes with specific primers. Infectious clones were agro-inoculated in transgenic and non-transgenic plants (control) for the infectivity assay. The transgenic plants containing Cas12a-MV showed rare symptoms and remained healthy compared to control plants with severe symptoms. The transgenic plants containing Cas12a-MV showed a significant reduction in virus accumulation (0.05) as compared to control plants (1.0). The results demonstrated the potential use of the multiplex LbCas12a system to develop virus resistance in model and crop plants against begomoviruses.
... The leafcurl virus effect crop yield due to change in temperature and precipitation patterns, resulting in the shift of some insect/pest from small population to large population. (Farooq et al, 2014). (Table-8) Conclusion : Climate factors that affect growth, spread, and survival of crop diseases include temperature, precipitation, humidity, dew, radiation, wind speed, circulation patterns, and the occurrence of extreme events. ...
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The studies focused on two major indicators of climate change-rain fall and temperature in the region. The results from the model predicted variability in climate by the end of the century .Trends of Climate Variability Climate data from 1980 to 2005 period has indicated an increase in the mean maximum temperature in Bundelkhand region by 0.28° C as compared to the baseline period of 1960-1990.. According to the MP-SAPCC, trends of average monsoon rainfall data from 1961 to 2002 indicate an inter-annual variability of average monsoon rain fall in the 41 year period. The rain fall trend shows a declining trend of rainfall for Bundelkhand. The major precipitation season is expected to shift by one month (from July to August). The shift in the monsoon causes delay in sowing which in turn delays harvesting and in drier conditions the potential yields would be lesser. The incidence of the diseases is determined by temperature and the occurrence of wet weather. The pathogens which causing diseases on crops at favorable less temperature and high humidity will be reduced because pathogen could not be built disease on the absence of favorable most condition of areal parts i.e. most of bacterial and some fungal pathogens while high temperature and high humidity diseases i.e. root rots, anthracnose. Fusarium ear blight in wheat. The viral diseases are mostly disseminated by insect vectors so high temperature and high humidity will be favorable condition for their multiplication of many generation leading to extending the viral diseases. If climate changes bring increased moisture and warmer temperatures to the region, it is likely to exacerbate epidemics and prevalence of leaf fungal pathogens and overwintering population of pathogens.
... Cotton Leaf Curl Virus (CLCuV) disease is one of the most serious obstacles to cotton production. It is caused by a group of viruses belonging to the genus Begomovirus, which is spread by whiteflies and poses a severe danger to the cotton crop Farooq et al. (2014). It can be seen in Africa, Pakistan, and northwestern India Sat-tar et al. (2013). ...
Conference Paper
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In this study, an eco-epidemiological nonlinear deterministic model for the transmission dynamics of Cotton leaf curl virus (CLCuV) disease in cotton is developed and analyzed qualitatively using the stability theory of differential equations. We showed that all solutions of the model are positive and bounded with initial conditions in a certain meaningful set. The existences of unique CLCuV free and endemic equilibrium points are investigated and the basic reproduction number is also computed using next generation matrix method. Then, the conditions for the local and global asymptotic stability of these equilibrium points are established. The analysis shows that the system has locally and globally asymptotically stable CLCuV free when the basic reproduction number is less than one and locally and globally asymptotically stable endemic equilibrium point when the basic reproduction number is greater than one. The simulation result shows the agreement with the analytical results.
... Significantly, 2.7 folds and 1.1 folds higher incidence of CLCV were observed in June/late thermal regimes than April and May thermal regimes, respectively. The results could be explained that, in late sown crop, the favorable temperature (30-45 °C), humidity (70-80%), and wind speed (3-12 km/h) during July and August might increase the multiplication of virus in cotton crop (Khan et al. 1998;Farooq et al. 2014). Along with favorable environments, another possible factor for higher disease attack would be the less accumulation of heat units in late sown crop (Balabantaray et al. 2020;Javed et al. 2022). ...
... Significantly, 2.7 folds and 1.1 folds higher incidence of CLCV were observed in June/late thermal regimes than April and May thermal regimes, respectively. The results could be explained that, in late sown crop, the favorable temperature (30-45 °C), humidity (70-80%), and wind speed (3-12 km/h) during July and August might increase the multiplication of virus in cotton crop (Khan et al. 1998;Farooq et al. 2014). Along with favorable environments, another possible factor for higher disease attack would be the less accumulation of heat units in late sown crop (Balabantaray et al. 2020;Javed et al. 2022). ...
Article
Full-text available
Different environmental conditions affect the phenology and insect/disease incidence in cotton crop. Studies on modulatory role of plant growth stimulants on cotton phenology, insect/disease incidence, and the bolls opening under various thermal regimes/sowing dates under field conditions are lacking. In this study, different growth stimulants, e.g., hydrogen peroxide (H 2 O 2-30 ppm), salicylic acid (SA-50 ppm), moringa leaf extract (MLE-30 times diluted), and ascorbic acid (AsA-70 ppm), were applied at squaring, flowering, and boll formation. June/late thermal regime showed higher incidence of CLCV, insect-infected bolls, and unopened bolls than April/early and May/normal sowing dates. Among the biostimulants, foliar spray of H 2 O 2 and SA (averaged across) reduced the incidence of CLCV, cotton boll worms, and unopened bolls by 25%, 30%, and 29% in June thermal regime than water-treated plants of respective sowing date. April thermal regime took more days for the accumulation of required growing degree days for all phenological components, i.e., days to squaring, flowering, boll splition, boll maturation period, and node number for first fruiting branch, while June thermal regime took less days to initiate these phenological stages. Foliar spray of H 2 O 2 and SA (averaged across) increased earliness at squaring and flowering by 12% and 7%, respectively under April thermal regime while MLE and AsA delayed earliness. The results indicate that exogenous application of SA and H 2 O 2 could improve cotton phenology but reduce the insect and disease incidence under field conditions.
Preprint
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Background Cotton Leaf Curl Virus Disease (CLCuD) is one of the major concerns for cotton growers. The traditional approach to managing CLCuD involves the control of the vector (whitefly) population through the use of pesticides. In this study, the efficacy of nanoparticles was compared with pesticides. The present study was conducted to evaluate the comparative efficacy of zinc oxide nanoparticles (ZnO nanoparticles), iron oxide nanoparticles (FeO nanoparticles), copper nanoparticles (Cu nanoparticles) and silver nanoparticles (Ag nanoparticles). Optimized doses of zinc oxide nanoparticles (ZnO nanoparticles), iron oxide nanoparticles (FeO nanoparticles), copper nanoparticles (Cu nanoparticles) and silver nanoparticles (Ag nanoparticles) were applied in a field trial of cotton against Cotton Leaf Curl Virus Disease (CLCuD) in cotton. The study consisted of morphological parameters (height of stem, monopodial branches, sympodial branches, staple length, boll weight and number of bolls), yield parameters (seed cotton yield and ginning outturn), chlorophyll content (chlorophyll a, chlorophyll b, carotenoids and total chlorophyll), biochemical parameters (superoxide dismutase (SOD), peroxidase (POD), ascorbate peroxidase (APX), catalase (CAT), hydrogen peroxide (H2O2) and electrolyte leakage) and disease parameters (reduction infection, disease severity and disease incidence). Results Cotton Leaf Curl Virus (CLCuV) was detected by TAS-ELISA (Triple Antibody Sandwich-Enzyme-linked immunosorbent assay). Pesticide reduced the infection as 79.3%. Zinc oxide nanoparticles (ZnO nanoparticles), iron oxide nanoparticles (FeO nanoparticles), copper nanoparticles (Cu nanoparticles) and silver nanoparticles (Ag nanoparticles) reduced the infection as 42.33%, 41%, 34.7% and 44.8% respectively. The statistical design for field trial was randomized complete block design (RCBD). One-way ANOVA was performed. Conclusion Although treatment pesticide showed the least disease incidence compared to nanoparticles. Nanoparticles are eco-friendly and safe as compared to pesticides. It is concluded that nanocomposites and hybrid modes may be used for managing CLCuD efficiently in the future.
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In this study, we examine the Atangana Baleanu Caputo fractional order for the transmission dynamics of the Cotton Leaf Curl Virus disease. The model took into account both cotton plants and vector populations. The existence and uniqueness, positivity and boundedness of the solution to the model, as well as other fundamental concepts, were examined. Additionally, the Ulam-Hyres condition stability of the suggested model was demonstrated using functional techniques. Using the Adams-Bashforth method, the numerical solution for our suggested model was computed. The numerical result shows that the disease spreads more slowly as the fractional order decreases from 1.00 to 0.72.
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Weekly air temperature (max/min), rainfall, relative humidity wind velocity and movement were regressed against percent plant infection by leaf curl virus on eight varieties of cotton. Relationship of weekly air temperature (max/min), relative humidity, wind velocity and movement. to cotton leaf curl virus disease (CLCuV) development was explained by linear regression in most of the varieties. Percent plant infection by CLCuV increased on all varieties.
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Resistance to Cotton leaf curl virus (CLGuV) in three cultivars of cotton was investigated in crosses with a susceptible cultivar using generation mean analysis. No single gene of major effect controlled resistance to Cotton leaf curl virus in the three crosses. The mean number of effective factors controlling resistance in cross LRA-5166 × S-12 was estimated to be at least five. Estimates of broad and narrow sense heritability indicate that effects by the environment were larger than those of genetic components. Epistasis was significant in two crosses. Additive gene effects contributed more to resistance than to susceptibility in contrast with dominance gene effect. Reciprocal differences were detected in the cross with LRA-5166. Estimates of genetic gain ranged form low to moderate. Thus, a breeding method that makes use of additive variance should be used because much of the variances for resistance are additive, whereas dominance effects, at least in these crosses, tended to contribute to susceptibility.
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The present study was conducted to determine the yield stability, adaptability and to analyze the GE interaction of 9 cotton genotypes using a randomized complete block design (RCBD) with three replications at six locations in Punjab, Pakistan during the growing season of 2010 and 2011 (twelve environments). Additive main effects and multiplicative interactions (AMMI) analysis revealed that the major contributions to treatment sum of squares were environments (38.51%), GE (35.27%) and genotypes (26.22%), respectively, suggesting that the seed cotton yield of genotypes were under the major environmental effects of GE interactions. The first two principal component axes (PCA 1 and 2) cumulatively contributed to 64.34% of the total GE interaction and were significant (p ≤ 0.01). The biplot technique was used to identify appropriate genotype to special locations / environments. Results showed that genotypes BH-172, MNH- 814 and NIAB-2009 with the lowest interaction, and genotypes FH-4243, FH-113, CIM-496, CIM-573, VH-289 and MNH-886 with the highest interaction were the most stable and unstable genotypes, respectively. Moreover, genotypes NIAB-2009, MNH-814, VH-289, MNH-886, CIM-573 and BH-172 were more suitable for Sahiwal, Vehari and Bahawalpur conditions while genotypes FH-4243, FH-113 and CIM-496 were better suited for Faisalabad conditions.
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The present study efforts have been made to combine natural and genetically-engineered resistance to get enhanced tolerance against cotton leaf curl disease (CLCuD) and improvement in fiber characteristics. Maximum number of tolerant plant against CLCuD was observed in the families of NIBGE-115 × transgenic Coker-312 expressing antisense rep, whilst minimum number of plants was in the families of FH-1000 × transgenic rep Coker-312 cotton. It was noted that ginning out turn; fiber fineness was significantly increased in F 1 and F 2 of NIBGE-115 × transgenic antisense rep Coker-312. Significant increase for fiber length was observed in the families of CIM-496 × transgenic antisense Coker-312 but non-significant differences were observed in all of the families of the crosses. The positive and highly significant correlation coefficient was observed between fiber length and fiber strength. The sample of parent plant material was small in the present study and did not represent the whole of the germplasm of G. hirsutum, therefore it would be worth-while to conduct another experiment involving large number of parents from the germplasm in a crossing program to substantiate the present findings.
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A greenhouse experiment was conducted using four cotton (Gossypium hirsutum L.) cultivars (CIM-448, CIM-1100, NIAB-Karishma, S-12), four rates of potassium (0, 62.5, 125.0, 250.0 kg K ha-1) and two sources of potassium [sulphate of potash (K2SO4 and muriate of potash (KCl)] to determine response of potassium fertilizer in relation to infestation of cotton leaf curl virus disease (CLCuV), a whitefly (Bemisia tabaci Gennadius) transmitted geminivirus (genus Begomovirus) at the Central Cotton Research Institute, Multan, Pakistan. There were significant differences among the cultivars in incidence and intensity of CLCuV disease. The cultivars CIM-448 and CIM-1100 showed complete resistance to CLCuV, whereas cv. S-12 was highly susceptible and cv. Karishma moderately tolerant to the disease. There was 12 to 38% reduction in the disease incidence as a result of addition of 250 kg K ha-1. The incidence and intensity of CLCuV disease were little affected due to the different sources of potassium fertilizer. The mild intensities of CLCuV disease in cv. NIAB-Karishma at day 30, 60 and 90 after planting were negatively correlated with increasing doses of potassium fertilizer. The relationship between intensity of CLCuV disease at day 90 after planting and potassium doses for cv. S-12 could be described by the regression equation (Y= 60.40-0.064x, r= -0.46**).
Article
The Correlation investigation has been developed between the Cotton leaf curl virus (CLCuV) disease severity on 64 cotton varieties/strain and environmental factors like maximum and minimum temperatures, rainfall, relative humidity, wind velocity and sunshine hours separately to find out the most crucial environmental factor for disease development during 1999 and 2000. Disease severity illustrated on the whole an imperative negative correlation with maximum and minimum temperatures and wind velocity. The varieties showed a response of slightly differentially to the changing environmental conditions during 1999 and 2000. 44 and 25 varieties responded significant negative correlation with maximum temperature and wind velocity respectively against CLCuV disease severity during 1999. All varieties showed significant negative correlation with minimum temperature during 1999. Forty (40) varieties showed negative correlation with relative humidity, whereas 31 varieties responded negative correlation with rainfall during 1999. During 2000, CLCuV incidence showed significant negative correlation with rainfall, maximum and minimum temperatures and significant positive correlation with sunshine hours. In 2000, 60 and 16 varieties showed significant negative correlation with rainfall and minimum temperature respectively against CLCuV disease. Similarly twelve varieties showed significant positive correlation with sunshine indicated by significant value of correlation coefficient. Significant negative correlation of rainfall and maximum temperature was found with CLCuV development in 2000. Overall, rainfall and minimum temperature played an important role during the years1999 and 2000. Environment conditions were conducive for the growth of CLCuV during these two years.