Assessment of genotype × trait interaction of rye genotypes for some morphologic traits through GGE biplot methodology

Samaneh Yari, N. Sabaghnia, M. Pasandi, M. Janmohammadi
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引用次数: 3

Abstract

Effective interpretation of the data on breeding programs is important at all stages of plant improvement and the genotype by trait (GT) biplot was used for two-way wheat dataset as genotypes with multiple traits. For this propose, 18 rye genotypes with specific characteristics were evaluated in randomized block design with four replications. The GT biplot for rye dataset explained 61% of the total variation of the standardized data (the first two principal components explained 40 and 21% respectively). The polygon view of GT presented for 11 different traits of rye cultivars showed six vertex cultivars as G1, G3, G6, G8, G11 and G13 whose genotype G8 had the highest values for most of the measured traits. Generally based on vector view, ideal genotype and ideal tester biplots, it was demonstrated that the selection of high seed yield will be performed via seed number per spike, first internode weight, number of spike per area and harvest index. These traits should be considered simultaneously as effective selection criteria evolving high yielding rye cultivars because of their large contribution to seed yield. The genotypes G8 and G7 following to genotypes G3, G18 and G19 could be considered for the developing of desirable progenies in the selection strategy of rye improvement programs.
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用GGE双标图法评价黑麦基因型对某些形态性状的基因型×性状互作
育种计划数据的有效解释在植物改良的各个阶段都很重要,小麦双向数据集采用性状基因型(GT)双图作为多性状基因型。本研究采用4个重复的随机区组设计,对具有特定性状的18个黑麦基因型进行评价。黑麦数据集的GT双标图解释了标准化数据总变异的61%(前两个主成分分别解释了40%和21%)。黑麦品种11个不同性状的GT多边形图显示,G1、G3、G6、G8、G11和G13 6个顶点品种,其中大部分性状的G8基因型值最高。一般根据载体图、理想基因型图和理想测试双图,通过单穗粒数、第一节间重、单株穗数和收获指数来选择高产品种。这些性状对种子产量的贡献较大,应同时作为黑麦高产品种的有效选择标准。G3、G18和G19基因型之后的G8和G7基因型在黑麦改良计划的选择策略中可以考虑培育理想后代。
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