This study evaluates the factor affecting adoption of IPM technology in Banke and Surkhet district of Nepal. An adoption analysis is necessary for describing and measuring the adoption of IPM technologies, which can provide important policy information that can lead to improvement of farmers' lives. The dependent variable in the following adoption analysis can take four values 1, 2, 3 and 4, indicating different levels of adoption. Due to the ordered nature of the dependent variable the model used was an ordered probit model. The determinants of adoption included in the present model belong in three main categories: socio-demographic, economic, and institutional characteristics. Five variables were statistically significant at 1% level for practicing IPM technology, they were; experience, training, MPC, mass media, and farmer field school. Two variables were statistically significant at 5% level for practicing IPM technology, they were; awareness of pesticides alternatives and field day. One variable age is statistically significant at 10% level for practicing IPM technology. Seven others variables namely gender, total family member, education, farm area, extension agent, credit and visit were statistically non significant. The sign of the coefficient in the coefficient columns shows the type of impact, positive or negative, by the particular variable.
Thirteen selected chilli genotypes were evaluated in randomized completely block design with three replications to study the flowering, fruit set and yield potential during spring-summer of 2005 at Khajura, Banke (Western terai district of Nepal). High temperature, long drought period and hot wind blow during flowering and fruiting period severely affected the fruit set and fruit size. Only 18.81% flowers set fruits while 72.41% of set fruits reached to marketable size (harvesting). Wide variations observed in yield potential of the genotypes ranging total fruit number per plant from 6 to 71 and in total fruit yield 7.97 to 95.33 q/ha. The genotype Mr. Lee No. 3 Selex produced maximum marketable fresh fruit yield (90.69 q/ha) which was 234.5% higher than that of Jwala (standard check) with 50.57% fruit set and 74.93% fruit retention. One fruit per plant was 0.63 and 0.52 coefficient of fruit set (%) and fruit retention (%) respectively. Highly significant coefficient of determination (R 2 =0.86) of the product of fruit number per plant and 100 fruit weight (g) against fresh fruit yield (q/ha) showed that chilli genotypes yield can be predicted considering fruit number per plant and fruit weight in hot and dry summer condition.
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