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.

With the objective of identifying high yielding wheat varieties for irrigated condition of midwestern region of Nepal, Coordinated Varietal Trials (CVT) of wheat were planted under irrigated conditions at Regional Agriculture Research Station (RARS) Khajura in winter season of 2011/12 and 2012/13.  Trials were planted in Randomized Complete Block Design (RCBD) and recommended cultivation practices were followed. Various phenological, morphological and yield attributing traits were recorded. Obtained data of both years were analyzed by using MSTATC software program. Correlation and path analysis for yield was conducted by using SPSS and MS-Excel. Combined analysis over year indicated highly significant differences among the genotypes in terms of days to heading, days to maturity, thousand kernels weight, grain yield and straw yield. The difference was significant for plant height but non-significant in terms of grains per spike. Among the tested entries included in the experiment, NL 1135 had late heading and maturity. In contrast, genotype BL 3978 was earliest. Genotype Gautam was obtained to be tallest and Thousand kernels weight was obtained highest in genotype BL3978. Grain yield was obtained significantly high over the years in NL1094 followed by NL 1135. Maximum straw yield was obtained in genotype NL 1094 followed by NL1135. Correlation coefficient computation showed that days to maturity had highest positive correlation (0.684**) with days to heading. Path analysis for yield revealed that thousand kernels weight had the highest positive value (0.732681) as compared to direct effect of other traits.