Genotype-Environment Interactions and Yield Stability of Cowpea (Vigna Unguiculata L. Walp) in Lomami Province, Central Part of Democratic Republic of Congo

Remy Tshibingu Mukendi, Antoine Lubobo Kayenga, L. Baboy, D. Bugeme, A. Kalonji, T. Munyuli
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引用次数: 3

Abstract

The genotype environment interaction (GEI) has always been considered as an important issue by researchers involved in varietal selection and yield performance assessment. The objective of this study was to identify stable genotypes of cowpea in the Greater Kasai region. The current study was undertaken in 3 locations in the Ngandajika territory of Lomami Province (central part of Democratic Republic of Congo (DRC) with 12 improved cowpea genotypes obtained from the National Institute for Agricultural Research and Studies. The experiments were conducted following the randomized block design with 3 replicates and 12 treatments. Analysis of variance (ANOVA) and AMMI model were applied to identify main effects and GEI. The genotype yield stability across different locations was determined using the stability value of AMMI (ASV) rank of the AMMI model. ANOVA test indicated that there was performance inconsistencies in the yield of the 12 genotypes tried across the environments retained in this study. However, AMMI model revealed genotypes with stable yields across the different environment considered in the study. For the determination of the specificity of adaptability of genotypes to specific environments, the stability value of AMMI and diagram plot techniques were used for the discrimination of the genotypes versus the different environments considered. The genotypes Mujilanga (V2), CNGKASA7-2-M (V3) and CNGKASC2-1-1-T (V9) were identified as the most stable across different environments studied. Their yields were significantly higher (P
刚果民主共和国中部洛米省豇豆基因型-环境相互作用及产量稳定性
基因型-环境互作(GEI)一直是品种选择和产量绩效评价研究的重要内容。本研究的目的是鉴定大开赛地区豇豆的稳定基因型。目前的研究是在刚果民主共和国中部Lomami省Ngandajika地区的3个地点进行的,使用了从国家农业研究所获得的12种改良豇豆基因型。试验采用随机区组设计,设3个重复,12个处理。采用方差分析(ANOVA)和AMMI模型确定主效应和GEI。利用AMMI模型的AMMI (ASV)秩稳定值确定不同位点基因型产量的稳定性。方差分析表明,在本研究保留的环境中,12个基因型的产量存在性能不一致。然而,AMMI模型揭示了在研究中考虑的不同环境中具有稳定产量的基因型。为了确定基因型对特定环境适应性的特异性,利用AMMI稳定值和图解技术对不同环境下的基因型进行了区分。在不同环境中,Mujilanga (V2)、CNGKASA7-2-M (V3)和CNGKASC2-1-1-T (V9)基因型最稳定。它们的产量显著高于(P
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