YIELD GAP ANALYSIS OF OILSEED VARIETY BINASARISHA-9 IN SOME SELECTED AREAS OF BANGLADESH

Abstract

This study was conducted to analyze the yield gap of Binasarisha-9 producing farmers in Rangpur, Mymensingh, Sherpur, Gopalganj and Sunamganj districts of Bangladesh. Primary data were collected from 200 Binasarisha-9 producing farmers through pre-designed interview schedule during April-May, 2021 for achieving the purposes. Descriptive statistical techniques as well as Zandstra method and Cobb-Douglas production function were chosen to determine the yield gap and factors affecting yield of Binasarisha-9 production. The results showed that the estimated average yield gap-I was 0.07 t ha-1 (4.11 %) and average yield gap-II was 0.18 t ha-1 (12.35 %.). The lowest gap was observed in Mymensingh district (0.19 t ha-1 (12.22%) and it was the highest in Gopalganj district (0.31 t ha-1 (19.98%). The average total yield gap was 0.25 t ha-1 (16.47%) and there was much scope for yield enhancement in the variety. Most of the factors namely, human labour cost, power tiller cost, seed cost, fertilizer cost, irrigation cost and insecticides cost were statistically significant and positive. The yield gap is mainly caused by biological, socio-economic, climate and institutional/policy related factors. Different strategies, such as integrated crop management (1CM) practices, timely supply of inputs including credit to farmers, research and extension collaboration to transfer the new technologies have been discussed as strategies to minimize yield gap. Suggestions have been made to make credit available to farmers to buy necessary inputs. Reducing transaction cost, simplifying lending procedures and strengthening monitoring mechanism of the present credit system are, however, essential to enable the farmers to benefit the credit facility. Efforts should be made to update farmers’ knowledge on the causes of yield gap in Binasarisha-9 and measures to narrow the gap through training, demonstrations, field visits and monitoring by extension agencies to achieve high yield.

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