جلد
شمارہ
مقالے کی قسم
زبان


تلخیص
The current research study was designed to evaluate the impact assessment of Better Management Practices of cotton by comparing the performance of both the adopters and non-adopters of BMPs. The present quantitative (cross-sectional) study was conducted in the Southern region of the Punjab province of Pakistan. A sample of 160 farmers constituting equal number of adopters and non-adopters of BMPs of cotton was drawn from district Khanewal which was purposively selected from the Southern Punjab. Data were collected by the utilization of a well-structured interview schedule. The results of the logit model revealed that education and farming experience had a significant influence on the adoption of BMPs. Furthermore, it was found that the adoption of BMPs was mainly affected by the area under cotton cultivation, land ownership status, age, and family size of the cotton grower, but the probability of these variables was not found statistically significant. The frequency analysis of the collected data revealed that the average number of irrigations applied by both the adopters and non-adopters was 16.0 and 21.0, respectively. Mean numbers of fertilizer (Urea, DAP, Potassium Nitrate, etc.) bags and pesticide applications applied by the adaptors and non-adopters were 3.5 and 4.2 bags, 3.8 and 7.7 applications, respectively. Child labor was exploited by 11.3% of adopters and 78.8% of non-adopters. Health and safety measures were highly considered by 75.0% of the adopters and 42.5% of the non-adopters. It was concluded that BMPs on cotton had significant impact not only on the productivity but also on the environmental safety and sustainability of the cotton crop.

Muhammad Sohail Akhtar, Shabbir Ahmad , Wu Huifang, Saira Akhtar , Shakeel Imran , Haroon Yousaf, Chunyu Wang, Chunyu Wang. (2021) IMPACT ASSESSMENT OF BETTER MANAGEMENT PRACTICES OF COTTON: A SOCIOLOGICAL STUDY OF SOUTHERN PUNJAB, PAKISTAN, Pakistan Journal of Agricultural Sciences, Volume 58, Issue 1.
  • Views 590
  • Downloads 76