Division of Transfer of Technology, Indian Lac Research Institute, Namkum, Ranchi-834 010, Bihar, (India).
1Division of Lac Production, Indian Lac Research Institute, Namkum, Ranchi-834 010, Bihar, (India).
For developing multiple regression model for estimating stick lac productivity of lac insect stocks, a multiple regression analysis was conducted by taking density of settlement, per cent initial mortality, sex ratio, female population, mean live cell weight, resin per female, dry cell weight, density at crop maturity, and life period as independent variables; and sticklac productivity as dependent variable. Out of 51 values of correlation coefficient obtained, 24 revealed highly significant positive and 3 significant negative values while the remaining were non-significant. The multivariate equation derived from only four indendent variables i.e. from resin per female, dry cell weight, density at crop maturity, and life period was the most efficient and convenient model for estimating lac productivity to the tune of 97.76% (R2) accuracy.
