Vol. 11, Issue 11 (2022)

Author(s):
HT Vinay, AP Jahnavi, Revappa M Rebasiddanavar and B Madhu

Abstract:
Dolichos bean (Lablab purpureus L.) is an important leguminous vegetable crop grown in almost all parts of the country. Green seed yield of the crop is influenced by number of yield contributing characters such as, green pod yield, pods per plant, days to 50 percent flowering, number of primary branches, raceme per plant, nodes per raceme, raceme length and 100 fresh seed weight. The effect of weather and rainfall particularly on crop yield depends on the distribution of rainfall during different phases of crop production. It is very rare that one weather factor accounts for all the variations in a crop's output. Thus multiple linear regression modelling for crop-weather models is commonly used. The predictability of such models improves with an increase in the number of explanatory variables. Crop yield-Weather relations is usually constructed by taking yield as the dependent variable and climate as the independent variables. Regression analysis using stepwise regression has revealed that the weather parameters are having both positive and negative impact on the green seed yield and other morphological traits. Minimum temperature, Sunshine hours and Rainfall were having significant effects on all the four characters taken into consideration. Whereas, other weather constraints like Relative humidity (afternoon) and Maximum temperature were affecting Number of primary branches and Pods per plant respectively.