Stability of grain yield performance of winter wheat genotypes

V. Perišić, Vesna Perišić, K. Luković, K. Bratković, V. Zečević, S. Babić, Mirela Matković-Stojšin
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引用次数: 1

Abstract

Bread wheat is one of the most represented field crops whose level and stability of yield is very important for the food security in Republic Serbia. In the paper was investigated stability of yield expression of 15 winter bread wheat genotypes in different agroecological conditions of Serbia, using the Additive main effects and multiplicative interaction (AMMI) model and GGE-biplot method of analysis. Aim of investigation was to determine which of applied analysis is superior in identification of the most desirable genotypes for cultivation in given environments. Analysis of variance showed that genotype and genotype-environment (G×E) interaction represent highly significant sources of variability in expression of grain yield. AMMI and GGE analyses were point out similar results and an indisputable conclusion is that multienvironment trials, besides routine usage of analysis of variance, must be analized with one of this two models, which combine analysis of variance and PCA analysis. AMMI analysis is simpler for interpretation and closer to the concept of view of the agronomical trial, while GGE analysis is more complex and gives more precise interpretation of "which-won-where", i .e. for defining of narrowly adapted genotypes in given environments. Thus, G11 as the genotype with highest average yield is narrow adapted to the environment Sombor and can be recommended, as well as in the environment 2 (Kruševac), while genotypes with modest requests (G2) rather can be recommended for cultivation in the environment 1 (Kragujevac), which is characterized by less fertile soil and a smaller amount and uneven distribution of precipitation.
冬小麦基因型籽粒产量性能的稳定性
面包小麦是塞尔维亚最具代表性的大田作物之一,其产量水平和稳定性对塞尔维亚共和国的粮食安全至关重要。采用加性主效应与乘法互作(AMMI)模型和gge -双图分析方法,研究了15个冬面包小麦基因型在塞尔维亚不同农业生态条件下产量表达的稳定性。调查的目的是确定哪一种应用分析在鉴定最理想的基因型方面优于在给定环境下的栽培。方差分析表明,基因型和基因型-环境(G×E)互作是籽粒产量表达变异的重要来源。AMMI和GGE分析得出了相似的结果,一个不争的结论是,多环境试验除了常规使用方差分析外,必须使用这两种模型中的一种进行分析,即方差分析和主成分分析相结合的模型。AMMI分析解释更简单,更接近农艺试验的观点概念,而GGE分析更复杂,对“谁赢了,在哪里”给出更精确的解释,即:在给定的环境中定义狭义适应的基因型。因此,G11作为平均产量最高的基因型,对Sombor环境适应较窄,可以推荐种植,对环境2 (Kruševac)也可以推荐种植,而要求适中的基因型(G2)则可以推荐种植在土壤肥力较差、降水量较少且分布不均匀的环境1 (Kragujevac)。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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