The Impact of Better Management Practices (BMPs) Among Cotton Farmers in Punjab, Pakistan


  •  Liaqat Ali Khan    
  •  Zoia Arshad Awan    
  •  Asad Ullah Imran    
  •  Muhammad Saleem    
  •  Fawad Sufyan    
  •  Muhammad Azmat    

Abstract

Better management practices (BMPs) as a sustainable approach made it attractive for growers to control the provision of pollutants from agricultural activities as well as enhance the financial return. The experiments of cotton production were conducted in four different regions of Punjab in cotton-growing years 2017-2019. The objective of the study was to evaluate the potential impact of BMPs among cotton farmers by rationalizing the use of input resources (viz., seed, fertilizers, pesticides and water). The data were collected from randomly selected adopters of BMPs (n = 400) and non-adopters of BMPs (n = 100) through a well-structured pretested questionnaire using a multistage sampling procedure from four different regions of Punjab province. Descriptive analysis was employing an independent two-sample t-test to evaluate the significant effect of BMPs on the utilization of input resources and profitability of cotton production between adopters and non-adopters of BMPs. The results indicated that adopters of BMPs were efficiently used input resources (at p ≤ 0.001 & p ≤ 0.01) and significantly enhanced the average cotton yield (855.09 kg acre-1) in Punjab, while non-adopters of BMPs had a significantly high cost of production by 11% (35,655 PKR acre-1) and output was lower by 15% (751.70 kg acre-1) under conventional farming for cotton cultivation. The economic analysis revealed that the average gross income gained by adopters of BMPs was significantly high by 11% (72,648 PKR acre-1 at p ≤ 0.001) with the maximum net return of 36% (40,785 PKR acre-1 at p ≤ 0.001) as well as a good B:C (1.28) as compared to non-adopters of BMPs. This study provides useful information about the potential impact of BMPs among cotton farmers even without the extra use of inputs. It is concluded that precision in inputs and management practices with lower input costs can significantly improve cotton productivity leading to uplift the farmers’ profit.



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