Influence of genotype and environment on grain yield among cowpea (Vigna unguiculata (L.) Walp) genotypes under dry land farming system

Autor: Mbali Thembi Gumede, Abe Shegro Gerrano, Albert Thembinkosi Modi, Zamalotshwa Thungo
Jazyk: angličtina
Rok vydání: 2022
Předmět:
Zdroj: Acta Agriculturae Scandinavica. Section B, Soil and Plant Science, Vol 72, Iss 1, Pp 709-719 (2022)
Druh dokumentu: article
ISSN: 0906-4710
1651-1913
09064710
DOI: 10.1080/09064710.2022.2069593
Popis: The identification of high-yielding and stable genotypes for cultivation across differential production regions is among the key breeding objectives in cowpea improvement programs. This study was aimed to determine genotype-by-environment interaction (GEI) for grain yield to select high-yielding and stable cowpea genotypes for production in South Africa and identical agro-ecologies, and for cultivar development. Fifty cowpea genotypes were tested for grain yield across seven environments of South Africa using a 10 × 5 alpha lattice design replicated three times, during the 2019/2020 and 2020/2021 planting seasons. Grain yield data were subjected to analysis of variance (ANOVA), additive main effects and multiplicative interaction (AMMI) and the genotype-by-environment interaction (GGE) biplot analyses. ANOVA and AMMI showed significant genotype, environment and GEI effects. High grain yield was recorded for genotypes G35 (0.47 t ha−1), G1 (0.45 t ha−1) and G47 (0.43 t ha−1) across test environments. AMMI stability values (ASV); identified Acc-Cowp44 as the most stable genotype across all sites, recording the lowest ASV of 0.03. The comparison view of GGE biplot revealed Acc-Cowp29, Acc-Cowp38 and Acc-Cowp5 as ideal genotypes, possessing high grain yield of 0.19, 0.47 and 0.36 t ha−1, respectively. The identified genotypes are recommended for production and inclusion in subsequent breeding activities.
Databáze: Directory of Open Access Journals
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