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Genotype-by-environment interaction for dual-purpose traits in sweetpotato

机译:甘薯双型特征的基因型 - 环境相互作用

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Development of high-yielding dual-purpose sweetpotato (Ipomoea batatas [LJ Lam) genotypes is useful for cultivation in mixed crop-livestock farming systems. The objective of this study was to determine genotype-by-environment interaction (GEI) for storage root yield (SRY), vine yield (VY), root: vine ratio (RVR), total above-ground and below-ground biomass (TABGB) and root dry matter content (RDMC) among newly developed sweetpotato clones to select promising dual-purpose clones. Forty-five sweetpotato genotypes, of which 32 were newly developed candidate clones, were evaluated across six diverse environments in Rwanda. Additive main effects and multiplicative interaction (AMMI) and genotype and genotype-by-environment (GGE) biplot analyzes were usedto analyze GEI. AMMI analysis revealed a relatively larger proportion of the GEI effect for SRY (31.21%), VY (37.17%), RVR (41.73%), TABGB (35.24%) and RDMC (36.23%) than for genotype and environmental effects, suggesting differential response of test genotypes across environments for the assessed traits. GGE-biplot analysis explained total variation of 72.98% for SRY, 83.26% for VY, 74.03% for RVR, 78.82% for TABGB and 56.78% for RDMC. Clone 21 with enhanced SRY and TABGB, and clone 42 for SRY had broad adaptation. For better VY, clone 733 was the best performer in environments E2 and E6 which are designated as mega-environment (MGE) 2, and clone 321 in E1, E3 and E4 (MGE 3). For RVR, clone 577 had best adaptation in E3, E4 and E5 (MGE 1), while clone 460 in E2 and E6 (MGE 2). Clones 42 and 381 were best performers for RDMC with specific adaptation in environments E3 and E1, respectively.
机译:高产两用甘薯(Ipomoea batatas[LJ Lam]基因型的开发有助于混合作物-畜牧业系统的栽培。本研究的目的是通过环境互作(GEI)确定基因型对贮藏根产量(SRY)、葡萄产量(VY)、根藤比(RVR)、地上和地下总生物量(TABGB)和根干物质含量的影响(RDMC)在新开发的甘薯无性系中选择有前途的两用无性系。在卢旺达的六个不同环境中,对45个甘薯基因型进行了评估,其中32个是新开发的候选克隆。采用加性主效应和乘性互作(AMMI)以及基因型和基因型-环境(GGE)双批次分析对GEI进行分析。AMMI分析显示,SRY(31.21%)、VY(37.17%)、RVR(41.73%)、TABGB(35.24%)和RDMC(36.23%)的GEI效应比例相对高于基因型和环境效应,表明测试基因型在不同环境中对评估性状的反应不同。GGE双批次分析解释了SRY、VY、RVR、TABGB和RDMC的总变异分别为72.98%、83.26%、74.03%、78.82%和56.78%。SRY和TABGB增强的克隆21和SRY的克隆42具有广泛的适应性。对于更好的VY,克隆733在环境E2和E6中表现最好,环境E2和E6被指定为mega environment(MGE)2,克隆321在E1、E3和E4(MGE 3)中表现最好。对于RVR,克隆577在E3、E4和E5(MGE 1)中的适应性最好,而克隆460在E2和E6(MGE 2)中的适应性最好。克隆42和381分别在环境E3和E1中具有特定适应性,对RDMC表现最好。

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