A Probit Analysis of the Incidence of the Cotton Leaf Curl Virus      in Punjab, Pakistan

Ahmad, Munir; Battese, George E.

doi:10.30541/v36i2pp.155-169

Cited by 5 publications

(3 citation statements)

References 35 publications

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“…Looking at the district level socio-economic development ranking determined by KI, GPG, and the literacy rate reported by the 1998 Census of Population (Appendix Table A), one can draw an important conclusion, that the infrastructure and the factors affecting the management capacity of the farming community in the cotton-wheat zone are running too low to wrestle with the dynamism of the technologies in order to exploit their full potential. The conclusion of Ahmad and Battese (1997), that fields of the more educated and the experienced farmers were less infected by the CLCV disease during the 1993-94 crop season, also supports the above conclusion.…”

Section: Resultssupporting

confidence: 61%

Agricultural Productivity Growth Differential in Punjab, Pakistan: A District-level Analysis

Ahmad¹

2022

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The results of this paper show that the crop output increased at the rate of 2.6 percent per annum, dominated by the share of TFP growth. Wide variation exists among cropping systems as well as within the system both in TFP growth and output growth. The mungbean zone emerged as a leader in TFP growth with 3.6 percent per annum, followed by barani (3.2 percent), cotton (1.9 percent), mixed (1.1 percent), and rice (1.0 percent) zones. Rice, mixed, and cotton zones show a negative trend in efficiency, and the respective causes appear to be the dominant factor of land degradation sourced by the existence of nutrient-exhaustive cropping pattern, increasing problem of waterlogging and salinity, and the use of brackish underground water, plus the prevalence of curl leaf virus disease in the cotton zone during the 1990s. The other reasons could be the low literacy rate among the farmers in most of the districts of the latter two cropping systems. Besides, the majority of them are also characterised as having very low status in development ranking. The data also show that the area under rice and sugarcane, a highly water-intensive crop, had increased in most of the districts of mixed and cotton zones, during the 1990s instrumented by high instability in cotton output growth as compared to rice and sugarcane. The sources of instability include high volatility in prices, vulnerability of the crop to disease and insect attack, consistently rising production cost, incapacity of the farming communities to deal with the dynamism of technology in cotton production, and increasing waterlogging and salinity problem.

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Section: Resultssupporting

confidence: 61%

Agricultural Productivity Growth Differential in Punjab, Pakistan: A District-level Analysis

Ahmad¹

2022

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“…However, for a two-tailed test these variables were significant at 0.0556 and 0.1567 percent level respectively. A 20 percent confidence level has been used in similar studies when little was known about the relationship between the dependent and explanatory variables [Harper, et al (1990); Ahmad and Battese (1997)]. There are contradictory findings about the effect of education on adoption of technology.…”

Section: Empirical Results Of Probit Modelmentioning

confidence: 99%

Adoption of Recommended Varieties: A Farmlevel Analysis of Wheat Growers in Irrigated Punjab

Iqbal¹,

Khan²,

Ahmad³

2022

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This study uses farm level data to analyse the determinants of adoption of recommended wheat varieties in irrigated Punjab, Pakistan. A notable proportion of wheat acreage is sown to non-recommended wheat varieties in the province. These cultivars had either lost (overtime) or did not have resistance against yellow rust. Farm size, education, and size of wheat enterprise on the farm are the important determinants of adoption of recommended wheat varieties while tractor ownership and irrigation source play a positive but insignificant role in the adoption decisions. Age and tenure proved to be less of a constraint towards adoption of the recommended wheat varieties. The likelihood of the adoption of recommended wheat varieties varied among tehsils, with the highest probabilities of adoption in Melsi and Arifwala tehsils of cotton-wheat zones I and II respectively.

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“…The pathogen is completely dependent upon silverleaf whitefly for its successful transmission. Therefore, the controlling strategies have been totally diverted towards the control of its insect vector [ 6 ], but still, it has never been efficiently controlled due to its very fast reproduction and developmental rate. Moreover, the disease initiation is too quick to be controlled by some crop protection measure.…”

Section: Introductionmentioning

confidence: 99%

Mathematical modeling of cotton leaf curl virus with respect to environmental factors

Khan¹,

Bashir²,

Ahmad³

et al. 2015

EuJMI

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This study mathematically correlates incidence of cotton leaf curl virus (CLCuV), environmental factors (i.e., rainfall, humidity and temperature), and silverleaf whitefly population in agricultural system of Pakistan. It has been concluded that the disease is directly linked with rainfall and humidity. The third most influential factor in defining CLCuV incidence is the vector population, which is also strictly dependent upon monthly mean temperature of Pakistan. Developed mathematical interrelation is capable of predicting disease incidence of future months. Therefore, it will help agriculturists to control disease in agricultural areas of Pakistan. It is strongly advised on the basis of current research that vector population controlling practices should be immediately applied after detecting small elevations in mean monthly temperature.

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A Probit Analysis of the Incidence of the Cotton Leaf Curl Virus in Punjab, Pakistan

Cited by 5 publications

References 35 publications

Agricultural Productivity Growth Differential in Punjab, Pakistan: A District-level Analysis

Agricultural Productivity Growth Differential in Punjab, Pakistan: A District-level Analysis

Adoption of Recommended Varieties: A Farmlevel Analysis of Wheat Growers in Irrigated Punjab

Mathematical modeling of cotton leaf curl virus with respect to environmental factors

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