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Yield Stability in Segregating Populations of Cowpea 1
Author(s) -
Ntare Bonny R.,
Aken'Ova Michael
Publication year - 1985
Publication title -
crop science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.76
H-Index - 147
eISSN - 1435-0653
pISSN - 0011-183X
DOI - 10.2135/cropsci1985.0011183x002500020003x
Subject(s) - vigna , biology , genotype , adaptability , yield (engineering) , gene–environment interaction , stability (learning theory) , selection (genetic algorithm) , horticulture , genetics , gene , ecology , physics , machine learning , artificial intelligence , computer science , thermodynamics
The suitability of using regression and genotype grouping methods to evaluate yield stability in segregating populations of cowpea [ Vigna unguiculata (L.) Walp] was determined. F 3 and F 5 lines and bulks were used in the study. Significant genotype ✕ environment interactions were present in both generations. The two methods identified the same lines and bulks as stable, but the genotype grouping method would be most useful when a large number of genotypes are evaluated. The yields of F 3 lines and those of related F 5 lines were well correlated (r = 0.64**, significant at 0.01 level. The mean yields of F 3 bulks and the mean yields of F 5 lines and bulks were not significantly correlated. The results showed that selection for adaptability in early generations in cowpea was possible.