Effect of Sowing Dates on Incidence of Cotton Leaf Curl Virus on Different Cultivars of Cotton

Tahir, Muhammad; Tariq, Muhammad; Mahmood, Hafiz Tariq; Hussain, Sabahat

doi:10.3923/ppj.2004.61.64

Cited by 10 publications

(3 citation statements)

References 4 publications

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“…Meanwhile, late planted crop faces CLCV infestation at early growth stages, resulting in stunted growth. Several studies have concluded that early planting is a better choice for escaping CLCV infestation [ 9 , 17 , 18 ]. Furthermore, prolonged growth season and low CLCV infestation are the main contributor towards higher yield of early planted cotton [ 8 , 9 , 18 ].…”

Section: Introductionmentioning

confidence: 99%

Relay cropping of cotton in wheat improves productivity of cotton-wheat cropping system

et al. 2022

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Cotton-wheat (CW) is an important cropping system in Pakistan; however, delayed cultivation of cotton after wheat significantly deceases system productivity. Late-sown cotton crop suffers from heat stress, high fruit shedding and infestation of various pests and cotton leaf curl virus (CLCV). Therefore, early sowing of cotton is preferred to overcome these challenges. However, cotton planting is overlapped with the harvesting of wheat crop in CW cropping system. Since fallow land is unavailable, relay intercropping of cotton in wheat crop seems a viable option for early planting. This three-year field study evaluated the role of relay cropping of cotton in improving the productivity of CW cropping system and lowering CLCV infestation. Wheat was planted in 22.5 cm rows with no row skipped (W1), one row skipped after every three (W2), and six rows (W3) for planting cotton in 0.75 and 1.50 m apart rows. Early cotton was planted in fallow land (C1) and standing wheat in 0.75 (C2) and 1.50 m (C3) apart rows and conventional planting after wheat harvesting (C4). Yield losses of wheat crop ranged from 8.16 to 19.81% in W3 and W2, respectively compared W1. However, C2 and C3 treatments improved cotton yield by 86.07% and 64.89% suppressed CLCV infestation by 68.14% and 65.86%, respectively compared to C4. Moreover, net benefits from relay cropping (W2C2) were 2190.1 $ ha-1 in 2013–14, 1954.4 $ ha-1 in 2014–15 and 2559.5 $ ha-1 in 2015–16 in comparison with C1 (1543.5, 1311.7 and 1892.3 $ ha-1 during 2013–14, 2014–15 and 2015–16, respectively). The W2 resulted in higher cotton yield compared to W3 which is mainly attributed to double number of cotton rows in W2 than W3. It is concluded that cotton relay cropping (W2C2) resulted in the highest economic returns with minimum CLCV infestation. Therefore, W2C2 is recommended for improving the system productivity of CW cropping system.

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Section: Introductionmentioning

confidence: 99%

Relay cropping of cotton in wheat improves productivity of cotton-wheat cropping system

et al. 2022

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“…At 45 days after sowing during both the growing seasons, early sowing i.e. 15 th April revealed less CLCuD incidence [22]. A gradual and significant rise in CLCuD incidence could be attributed to gradual increase in relative humidity as the growing season advanced.…”

Section: Resultsmentioning

confidence: 89%

Sowing Date influences cotton leaf curl disease (CLCuD) incidence and productivity of non-Bt cotton cultivars

Mubeen¹

2022

PAB

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Disease infestation in crop plants can be reduced by choosing the most suitable sowing date for different cultivars of the same crop. A two-year study was conducted to know the best sowing date for cotton on silt loam soil in a sub-tropical arid climate. Two cotton cultivars i.e. CIM-612 and CIM-573 were sown for two consecutive years. Moreover, CIM-591 was grown in year 1 and Cyto-124 in year 2, at five different dates (April 15, May 01, May 15, June 01 and June 15). By delaying the sowing, plant height, number of bolls per plant and seed cotton yield (kg ha -1 ) was decreased while cotton leaf curl disease (CLCuD) incidence (%) was increased gradually. All the varieties in general sown earlier showed higher yield and reduced incidence of CLCuD. However, among non-Bt cultivars, performance of CIM-612 was overall better when sown on April 15 during both the years with minimum CLCuD incidence and improved seed cotton productivity. Hence non-Bt cotton cultivar CIM-612 may be sown on April 15 in cotton core zone of Punjab (Pakistan).

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“…Biotic stresses, such as virus infection, further exacerbate these losses ( Rejeb et al, 2014 ). For the virus complex causing CLCuD, and other diseases caused by geminiviruses, studies have addressed the effects of plant variety, sowing time and environmental factors such as temperature, relative humidity, and rainfall on disease incidence and crop loses ( Tahir et al, 2004 ; Hussain et al, 2015 ). Similarly, studies have addressed the effects of environmental variables on whitefly populations and consequent effects on disease incidence and crop (yield) loses ( Sharma et al, 2006 ; Hussain et al, 2015 ; Zeshan et al, 2015 ).…”

Section: Introductionmentioning

confidence: 99%

Temporal changes in the levels of virus and betasatellite DNA in B. tabaci feeding on CLCuD affected cotton during the growing season

Iqbal,

Masood,

Shafiq

et al. 2024

Front. Microbiol.

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Cotton, a key source of income for Pakistan, has suffered significantly by cotton leaf curl disease (CLCuD) since 1990. This disease is caused by a complex of phylogenetically-related begomovirus (genus Begomovirus, family Geminiviridae) species and a specific betasatellite (genus Betasatellite, family Tolecusatellitidae), cotton leaf curl Multan betasatellite. Additionally, another DNA satellite called alphasatellite (family Alphasatellitidae), is also frequently associated. All these virus components are vectored by a single species of whitefly (Bemisia tabaci). While many factors affect cotton productivity, including cotton variety, sowing time, and environmental cues such as temperature, humidity, and rainfall, CLCuD is a major biotic constraint. Although the understanding of begomoviruses transmission by whiteflies has advanced significantly over the past three decades, however, the in-field seasonal dynamics of the viruses in the insect vector remained an enigma. This study aimed to assess the levels of virus and betasatellite in whiteflies collected from cotton plants throughout the cotton growing season from 2014 to 2016. Notably, begomovirus levels showed no consistent pattern, with minimal variations, ranging from 0.0017 to 0.0074 ng.μg–1 of the genomic DNA in 2014, 0.0356 to 0.113 ng.μg–1 of the genomic DNA in 2015, and 0.0517 to 0.0791 ng.μg–1 of the genomic DNA in 2016. However, betasatellite levels exhibited a distinct pattern. During 2014 and 2015, it steadily increased throughout the sampling period (May to September). While 2016 showed a similar trend from the start of sampling (July) to September but a decline in October (end of sampling). Such a study has not been conducted previously, and could potentially provide valuable insights about the epidemiology of the virus complex causing CLCuD and possible means of controlling losses due to it.

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Effect of Sowing Dates on Incidence of Cotton Leaf Curl Virus on Different Cultivars of Cotton

Cited by 10 publications

References 4 publications

Relay cropping of cotton in wheat improves productivity of cotton-wheat cropping system

Relay cropping of cotton in wheat improves productivity of cotton-wheat cropping system

Sowing Date influences cotton leaf curl disease (CLCuD) incidence and productivity of non-Bt cotton cultivars

Temporal changes in the levels of virus and betasatellite DNA in B. tabaci feeding on CLCuD affected cotton during the growing season

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