STABILITY PARAMETERS OF GRAIN YIELD AND ITS COMPONENTS FOR SOME PARLEY GENOTYPES

Darweish, N. I. M. D.; Harp, O. M. S.; EL-Said, Rania A. R.; Megahed, M. A.; Agwa, A. M.

doi:10.21608/jacb.2012.55005

STABILITY PARAMETERS OF GRAIN YIELD AND ITS COMPONENTS FOR SOME PARLEY GENOTYPES

Document Type : Original Article

Authors

¹ Agronomy Dept. Fac. Agric., Al-Azhar University at Cairo.

² Biological and Ecological Dept. Faculty of Home economic , Al-Azhar University at Tanta.

³ Barley Res. Dept. Field crops Res. Center, Giza, Egypt.

10.21608/jacb.2012.55005

Abstract

High and stable yield is very desirable in barley (Hordeum vulgare L.) genotypes .The experiment of this study was conducted in eighteen environments (three locations , three K rates and two seasons) . The three locations used are El-Serw , Noubaria and Hossienia all of them have salty soils . Two season; 2009/ 2010 and 2010/2011 using eight genotypes of barley. The experiments were grown in a split-split blocks design with three replications in each location. The objectives of this study were to increase barley productivity and adaptability under different conditions by identifying and developing genotypes that are more adapted and more stable in production under these harsh environments. The combined analysis of variance for environment (E), genotypes (G) and GE interaction was significant suggesting differential response of the genotypes and the need for stability analysis. The stability measures are useful in characterizing genotypes by showing their relation performance in various environments. Results revealed that high yielding cultivars can also be stable cultivars. The genotype 4 followed by genotype 1 and genotype 2 were the most stable for grain yield because their regression coefficients were the highest, b_i value almost near unity and they had lower deviations from regression; these would be recommended for 18 environmental conditions.. These genotypes could be considered as wide adaptive genotypes.
The regression coefficient (b_i) and deviation of regression (S²_d) displayed highly significant positive correlation with phenotypic variance and coefficient of variation. In contrast, the insignificant correlation coefficients among the other stability parameters were found. Moreover, the mean grain yield displayed positive correlation with phenotypic variance and regression coefficient, but there was negative correlation with coefficient of variation and deviation of regression.