YIELD GAP ANALYSIS AND THE FACTOR INFLUENCING Binasarisha-4 IN SOME SELECTED AREAS OF BANGLADESH

  • S. Islam Agricultural Economics Division, Bangladesh Institute of Nuclear Agriculture, Mymensingh-2202. and PhD Research Fellow, Department of Agricultural Economics, Bangladesh Agricultural University, Mymensingh-2202.

    M.H. Rahman Agricultural Economics Division, Bangladesh Institute of Nuclear Agriculture, Mymensingh-2202.

    M.R. Haque Agricultural Economics Division, Bangladesh Institute of Nuclear Agriculture, Mymensingh-2202.

    M.M.A. Sarkar Agricultural Economics Division, Bangladesh Institute of Nuclear Agriculture, Mymensingh-2202. and PhD Research Fellow, Department of Agricultural Economics, Bangladesh Agricultural University, Mymensingh-2202.

    R. Sultana Agricultural Economics Division, Bangladesh Institute of Nuclear Agriculture, Mymensingh-2202.

Abstract

Binasarisha-4 is a prominent high-yielding mustard variety that plays a crucial role in the oilseed production in Bangladesh. The study was conducted in five major Binasarisha-4 growing areas of Bangladesh, namely Rangpur, Jashore, Tangail, Sirajganj and Magura district to analyze the yield gap and its influencing factors of the variety. In this paper, influencing factors of this crop were analysed by Cobb-Douglas multiple regression equation. The study found that the average yield gap I of Binasarisha-4 production was 0.08 t ha-1 (4.72%) and the average yield gap II was 0.20 t ha-1 (13.35%). Considering all, the average yield gap was 0.28 t ha-1 (17.46%) and much scope for yield enhancement in the variety. The coefficients for power tiller, labor, seed, urea, TSP, MoP, experience, and gypsum were found to be positively significant but farm size negatively significant. By identifying and tackling the causes of the yield gap, this study intends to maximize agricultural productivity, enhance farm incomes, and strengthen national self-sufficiency in edible oil.

References

Ahmed, A. 2013. Results of Farm Level Socio-Economic Study on Mustard Production in some selected area of Bangladesh, Bangladesh J. Agril. Res. 13(1): 20-23.

BBS (Bangladesh Bureau of Statistics), 2022. The Yearbook of Agricultural Statistics, Statistics and Informatics Division (SID), Ministry of Planning, Government of the People’s Republic of Bangladesh, Dhaka, Bangladesh.

BBS (Bangladesh Bureau of Statistics), 2023. The yearbook of agricultural statistics, Statistics and Informatics Division (SID), Ministry of Planning, Government of the People’s Republic of Bangladesh, Dhaka, Bangladesh.

Boomiraj, K., Chakrabarti, B., Aggarwal, P.K., Choudhary, R. and Chander, S. 2010. Assessing the vulnerability of Indian mustard to climate change, Agric., Ecosyst. Environ. 138: 265–273.

Coelli, T.J. and Battese, G.E. 1996. Identification of factors which influence the technical inefficiency of Indian farmers, Aus. J. Agril. Econ. 40(2): 103-128.

Dutta, A. 2016. Impact of improved technologies on productivity and profitability of rapeseed-mustard production at farm level in West Bengal, India, SAARC J. Agric. 14(2): 126-136.

Esmaeili, A. 2008. Measuring competitiveness of cattle and fish farming in southern Iran: Using PAM Approach, World Appl. Sci. J. 4(5): 724-729.

FAO (Food and Agricultural Organization), 2012. Statistical year book, vol. 73. FAO statistics series 119, 152-154. Food and Agriculture Organization of United Nations, Rome, Italy.

Hossain, M.S., Rahman M.M., Harun-ur-Rashid M., Farid A.T.M., Quayyum M.A., Ahmed M., Alam M.S., and Hussain K.M.S.U. 2006. Krishi Projukti Hatboi (Handbook of Agro-technology). 4th Edition. Gazipur: Bangladesh Agricultural Research Institute.

Huq, A.S.M.A. and Arshad, F.M. 2010. Demand Elasticity’s for cereal and non-cereal crops in Bangladesh, J. Appl. Sci. 10(20): 69–78.

Huq, A.S.M.A., Zahan, W.A., Zaman, M.M. and Kadir, M.M. 2007. Technological efficiency of mustard production in Jamalpur district, J. Sher-e Bangla Agril. Uni., 1(1): 39-47.

Islam, S., Rahman, M.H., Haque, M.R. and Sarkar, M.M.A. 2018. Potential productivity and yield gap of Binasoybean-2 in the research station and farm level, Saudi J. Business and Manag. Studies, 3: 1361-1365.

Islam, S., Rahman, M.H., Haque, M.R. and Sarkar, M.M.A. 2019. Factors affecting gross return of Binadhan-11 produced at different districts of Bangladesh, Haya: The Saudi J. Life Sci.., 4: 241-244.

Islam, S., Uddin, M.T., Akteruzzaman, Rahman, M. and Haque, M.A. 2011. Profitability of alternate farming systems in Dingapota Haor area of Netrokona district, J. Progress. Agric. 22(1&2): 223-239.

Mallik, M.S.A. 2013. Quality seed production of oilseed crops: An overview. Paper presented in the workshop on ‘Modern Techniques for Quality Seed Production of Oilseed Crops’ Oilseed  Research Centre, Bangladesh Agricultural Research Institute, Gazipur.

Rahman, S. and Kazal, M.M.H. 2016. Profitability, input demand and output supply of mustard in Bangladesh. J. Oil Seed Res. 33(1): 14-21.

Sarkar, M.M.A., Rahman, M.H., Islam, S. and Sultana, R. 2022. Yield gap analysis of oilseed variety Binasarisha-9 in some selected areas of Bangladesh. Bangladesh J. Nuclear Agric, 36(2): 97-107.

Seyoum, E.T., Battese, G.E. and Fleming, E.M. 1998. Technical efficiency and productivity of maize producers in eastern Ethiopia: a study of farmers within and outside the Sasakawa‐Global 2000 project, Agril. Econ., 19(3), 341-348.

Sharif, N.R. and Dar, A.A. 1996. Stochastic frontiers and technical efficiency distributions: An analysis based on rice farming data for Bangladesh, The Canadian Journal of Economics, 29, 582-586.

Issue
Vol. 39, Issue 1 2025-09-07
Section
Research Article