Discriminant analysis for rice-wheat system having the same attributing characters towards grain yield

A study was conducted to find out a predictive model through discriminant analysis in ricewheat system. The study was conducted taking plant height, grains per ear, ear length, harvest index and grain yield as independent variables. That predictive model provides the best discrimination between the rice and wheat crops. Discriminant function analysis is the appropriate statistical technique when the dependent variable (group of crops) is categorical and independent variables are metric. It reveals that effective tillers per plant contributed most towards grain yield in both the crops.