SUMMARY :The study was carried out to develop the classificatory statistical model to predict and classify the farmers into adopters and non-adopters in Kolar district of Karnataka for the year 2013. Linear discriminant analysiswas carried out by considering the various socio-economic characteristics of farmers as predictors and adoption behaviour of the farmers as response variable in order to assess the factors influencing on adoption of drought coping mechanisms. The result shows that the Box's M test is 161.3 with their F approximation 1.83 is non-significant (0.19) at 5% level of significance, Eigen value (2.51) of the first function explains 100% of variations in the data which is potential enough to classifying the groups, wilk's lambda associated with the function (=0.28) is transforms to a chi square of 140.82 with 12 DF, which is statistically significant and the following variables such asFarm Size (0.552), Extension Visits (0.574), Crop Diversification (0.321) and Crop Insurance (0.368) are relatively more important and positively influencing on discrimination of farmers group. Whereas the variable like Age (-0.516) negatively influencing on discrimination of adopters and non-adopters.
Finger millet is nutritionally superior to many cereals providing fair amount of proteins, minerals, calcium and vitamins in abundance to people. GXE-interaction has been a major challenge for plant breeders. Ten Finger millet genotypes were evaluated over nine locations for three years 2006, 2007 and 2008. GXE interaction has been analyzed using the pooled two-way analysis of variance for traits like plant height, number of productive tillers, main ear length, number fingers per ear, days to 50 per cent flowering, grain yield and fodder yield. The pooled two-way analysis of variancerevealed that the mean sum of squares (MSS) due to genotype and environment interaction was highly significant for all traits over a different years and locations.
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