Stability analysis for various quantitative traits in soybean [Glycine max (L.) merrill]

Abstract

The present investigation was carried out to study stability performance over twelve environments for yield and yield contributing characters in twenty two genetically diverse genotypes of soybean using a randomized complete block design. The partitioning of (environment + genotype x environment) mean squares showed that environments (linear) differed significantly and were quite diverse with regards to their effects on the performance of genotypes for yield and its components. Stable genotypes were identified for wider and specific environments with high per se performance (over general mean) for majority of yield component traits. The investigation revealed that the genotypes ABL 55, ABL 20, ABL 62 and ABL 45 were desirable and stable across the environments for different yield contributing traits. Other genotypes ABL 43 and ABL 17 were found to be suitable for favourable situations, while genotypes ABL19 were adapted to poor environments for yield and majority of yield contributing traits.

Molecular Characterization and Stability Analysis for Yield and its Components Traits in Soybean (Glycine max L.)

“…On the other hand the rest of environments were revealed low genetic stability in their interaction using the previous soybean entries. Accordingly, we note that the genotypes; (Crawford, Giza 21, Giza 22, Giza 35, Giza 83, Giza 111) were the most genetic stability entries and recommended for using it under different environments, while the cultivar (Giza 82) coming in the second rank, Gill and Kumar (1989), Mohan and Har Ram (2006), Vera et al, (2013), Popovic et al, (2013), Dewi et al, (2014), Lemes et al, (2015), Lodhi et al, (2015), Hamawaki et al, (2015), Gunjan et al, (2016), Silva et al, (2016) and Tiwari et al, (2016).…”