Stability analysis for grain yield of black cumin (Nigella sativa L.) genotypes in Bale, South-East Ethiopia

Yield data of ۱۲ black cumin (Nigella sativa L.) cultivars tested across ۹ rain-fed environments during the ۲۰۱۳-۲۰۱۵ growing season using RCBD in ۳ replications. The AMMI analysis tested in nine environments (years) were showed that the yield was significantly affected (P<۰.۰۰۱) by genotypes and environment main effects. But non significant for GxE interaction. The model revealed that differences between the environments accounted for about ۹۰% of the treatment sum of squares. The genotypes and the GxE interaction also accounted significantly for ۴% and ۶% respectively of the treatment SS. The first principal component axis (PCA ۱) of the interaction captured ۵۱.۳۲% of the interaction sum of squares. Similarly, the second principal component axis (PCA۲) explained a further ۱۸.۲۰% of the GEI sum of squares. The mean squares for the PCA ۱ and PCA ۲ were significant at P=۰.۰۱ and cumulatively contributed to ۶۹.۵۲% of the GxE interaction SS, leaving ۳۰.۳۷% of the variation in the GxE interaction in the residual. The AMMI and AMMI stability value (ASV) identified G۱۰ as the most stable and high yielding genotype.Yield data of ۱۲ black cumin (Nigella sativa L.) cultivars tested across ۹ rain-fed environments during the ۲۰۱۳-۲۰۱۵ growing season using RCBD in ۳ replications. The AMMI analysis tested in nine environments (years) were showed that the yield was significantly affected (P<۰.۰۰۱) by genotypes and environment main effects. But non significant for GxE interaction. The model revealed that differences between the environments accounted for about ۹۰% of the treatment sum of squares. The genotypes and the GxE interaction also accounted significantly for ۴% and ۶% respectively of the treatment SS. The first principal component axis (PCA ۱) of the interaction captured ۵۱.۳۲% of the interaction sum of squares. Similarly, the second principal component axis (PCA۲) explained a further ۱۸.۲۰% of the GEI sum of squares. The mean squares for the PCA ۱ and PCA ۲ were significant at P=۰.۰۱ and cumulatively contributed to ۶۹.۵۲% of the GxE interaction SS, leaving ۳۰.۳۷% of the variation in the GxE interaction in the residual. The AMMI and AMMI stability value (ASV) identified G۱۰ as the most stable and high yielding genotype.

کلیدواژه ها:

AMMI ، ASV ، Yield ، Biplot ، Genotypes ، GxE interaction ، PCA