Crossover and non-crossover G x E interactions for traits of economic importance in rice (Oryza sativa L.)

Abstract

Thirty four advanced high yielding and long grained rice genotypes alongwith checks were evaluated in twelve environments for seven quantitative traits and data were subjected to regression analysis and also analyzed to detect the presence of crossover and non-crossover interactions. Six genotypes namely, Pusa R 1011, 1017, 1022, 1024, 1026, and 1030 were identified to be promising based on regression analysis, whereas genotypes Pusa R 1012, 1015, 1017, 1021, 1031, 1034 and 1035 were identified as potential ones by using crossover and non-crossover interactions concepts against standard check Pusa 44. Of these genotypes Pusa R 1017 was identified as high yielding genotype having specific adaptability and responsiveness to higher nitrogen regimes both by regression analysis and crossover and non-crossover interactions concept.