Non-parametric analysis for evaluating yield of transplanted rice genotypes in multi-environments

Genotype × environment interaction of the twelve rice genotypes were tested over the six environments in the transplanted rice during optimal transplanting time for rice i.e., 15th January and 15th July of each year in dry and wet season, respectively. The genotypes were grown in a randomized complete block design with three replications. The objective of this study was to identify the stable high yielding genotypes in transplanted rice. Combined analysis of variance showed genotype and GE interaction highly significant (P<0.01). This indicates possibility of selection of stable rice genotypes across the environments. Huehn's non-parametric stability statistics were used in both original data sets as well as after applying the correction factor to find out the stable rice genotypes. Based on original as well as corrected data, genotypes Satya Krishna and WITA 12 were found to be stable under transplanted rice using most of the stability statistics. Principal component analysis was carried out to find out relationships among different stability measures. The first two principal components (PCs) PC1 and PC2 explained 85.49% (54.76 and 30.73% by PC1 and PC2, respectively) of the total variance.