ABSTRACT

Genotype-by-environment interaction (GEI) analysis is fundamental in crop improvement programmes to guide selection and for recommendation of high performing and stable genotypes for breeding or production. The objectives of this study were to quantify the GEI effects and determine grain yield stability among diverse pigeonpea genotypes to select candidate lines for breeding in Malawi. Eighty-one pigeonpea genotypes were tested under six environments using a 9 × 9 alpha-lattice design with two replications. Data collected were subjected to additive main effects and multiplicative interaction (AMMI) analysis and genotype plus genotype-by-environment interaction (GGE) biplot analysis. Genotype, environment, and genotype × environment interaction (GEI) accounted for 16.4, 33.5, and 49.6%, respectively, of the total variation for grain yield. The test environments were delineated into three mega-environments, based on site and seasonal variability. The AMMI and GGE analyses indicated that the top-yielding and stable genotypes across the test environments were MWPLR 24, ICEAP 01155, MWPLR 14, TZA 5582, and MWPLR 4. The selected genotypes are recommended as parental lines for grain yield improvement in Malawi or similar agro-ecologies.

摘要

基因与环境之间的相互作用（GEI）分析是作物改良计划中的基础，可指导选择以及为育种或生产提供高性能和稳定的基因型建议。这项研究的目的是量化GEI效应并确定不同木豆基因型之间的籽粒产量稳定性，以选择在马拉维进行育种的候选品系。使用9×9 alpha-lattice设计并进行两次重复，在六个环境中测试了八十一种木豆的基因型。对收集到的数据进行加性主效应和乘性交互作用（AMMI）分析以及基因型加基因型逐环境交互作用（GGE）双图分析。基因型，环境和基因型×环境相互作用（GEI）分别占谷物总产量变化的16.4％，33.5％和49.6％。根据现场和季节变化，将测试环境划分为三个大环境。AMMI和GGE分析表明，在整个测试环境中，产量最高且稳定的基因型为MWPLR 24，ICAEAP 01155，MWPLR 14，TZA 5582和MWPLR4。建议将选定的基因型用作提高马拉维或马拉维谷物产量的亲本系。类似的农业生态