首页> 外文期刊>Asian journal of agricultural research >Genotype by Environment Interaction for Protein Content of Malt Barley Genotypes Using the Additive Main Effect and Multiplicative Interaction Effect Model (AMMI) and Genotype Plus Genotype by Environment Interaction (GGE) Biplot
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Genotype by Environment Interaction for Protein Content of Malt Barley Genotypes Using the Additive Main Effect and Multiplicative Interaction Effect Model (AMMI) and Genotype Plus Genotype by Environment Interaction (GGE) Biplot

机译:利用加性主效应和乘性交互作用模型(AMMI)通过环境相互作用进行麦芽大麦基因型蛋白质含量的基因型分析,以及通过环境相互作用(GGE)双图进行基因型加基因型分析

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摘要

Protein content is a prerequisite for malting quality and it is highly affected by environment. The objective of this study was to quantify the magnitude of genotype by environment interaction and assess the protein content of malt barley genotypes indiversified locations. Eight malt barley genotypes were evaluated in randomized complete block design using three replications at six locations of Tigray, Ethiopia durining 2013/2014 main cropping season. The additive main effect and multiplicative interaction effect model (AMMI) analysis revealed significant differences (p<0.01) for genotype, location and genotype by location interaction for protein content. The magnitude of location was twice the magnitude of genotype. Hence, the malt barley genotypes had not a consistent rank across location. The AMMI model clearly indicated the presence of large magnitude of genotype by location interaction which can be partitioned into four significant interaction principal components. The malt barley genotypes were best explained by the AMMI2. Therefore, this model is vital for protein content study in the area. According to the additive main effect and multiplicative interaction effect biplot 1 analysis and ranking biplot f the GGE the genotypes Holkler and Bekoji were stable for desirable protein content for malting. The AMMI1 biplot indicated that locations Korem, Emba-hasti and Astella were unfavorable having protein content less than the grand mean. However, Hashange Mekhan and Hagara-Selam were favorablewith protein content greater than the grand mean. In the malting industry protein content is not the only indicator and other quality requirements have to be incorporated for full packaged recommendation of the malt barley genotypes.
机译:蛋白质含量是制麦芽质量的先决条件,并且受环境的影响很大。这项研究的目的是通过环境相互作用来量化基因型的大小,并评估麦芽大麦基因型在不同地点的蛋白质含量。在2013/2014埃塞俄比亚都灵主产季的提格雷(Tigray)的六个位置进行了三个重复试验,在随机完整区组设计中评估了八种麦芽大麦的基因型。加性主效应和乘性相互作用模型(AMMI)分析显示,蛋白质含量的基因型,位置和基因型之间存在显着差异(p <0.01)。位置的大小是基因型的两倍。因此,麦芽大麦的基因型在不同地区之间的排名不一致。 AMMI模型通过位置相互作用清楚地表明存在大量基因型,可以将其划分为四个重要的相互作用主要成分。 AMMI2最好地解释了麦芽大麦的基因型。因此,该模型对于该地区蛋白质含量的研究至关重要。根据加性主效应和乘性相互作用效应双谱图1的分析以及对GGE的双谱图排名,Holkler和Bekoji基因型对于麦芽所需的蛋白质含量稳定。 AMMI1双标线表明,蛋白质含量低于总体平均值的Korem,Emba-hasti和Astella位置不利。但是,Hashange Mekhan和Hagara-Selam的蛋白质含量高于平均水平,因此是有利的。在制麦业中,蛋白质含量不是唯一的指标,必须结合其他质量要求才能完整推荐麦芽大麦基因型。

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