Adoption of certain improved varieties of wheat (Triticum aestivum L.) in seven different provinces of Nepal
Abstract
This study used farm level data to analyze the adoption of improved wheat varieties in Nepal. The seven districts each having the highest wheat area coverage in their respective provinces was selected. Pre-tested interview schedule was used to collect the primary information. The relevant literatures were reviewed for secondary information. The simple random method of sampling was used and 651 samples were taken. Descriptive statistics, probit regression and indexing were applied. This study showed that 94.1% of the area was covered by the improved wheat varieties, while 3.3% by local and 2.6% by the Indian varieties. In addition, of the improved varieties, NL 297 had the highest area coverage (30.88 %) followed by Vijay (23.24%), Gautam (12.95%), NL 971 (8.94%) and Aditya (5.34%) respectively. Probit econometric model revealed that membership of organization (1% level of significance), subsidy by the government (1% level), gender of the household head (5% level) and family member in foreign employment (10%) significantly determined the adoption of improved wheat varieties developed after NARC establishment. The indexing identified and ranked- lack of availability of quality improved seeds (I= 0.75) as the first followed by poor availability of fertilizers (0.65), labour shortage (0.61), lack of proper irrigation (0.55) and lack of agricultural machines (0.45) that were associated wheat production in study site. The concerned government institutions should assure the availability of quality improved seeds and fertilizers to the farmers; the subsidy on irrigation and agricultural machines allied with financial grant could attract the farmers towards wheat cultivation which ultimately contributes to increase wheat productivity.
Keywords:
Adoption, Improved varieties, Indexing, Probit regression, Wheat productivityDownloads
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