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首页> 外文期刊>Australian Journal of Crop Science >AMMI analysis to comprehend genotype-by-environment (G × E) interactions in rainfed grown mungbean (Vigna radiata L.)
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AMMI analysis to comprehend genotype-by-environment (G × E) interactions in rainfed grown mungbean (Vigna radiata L.)

机译：AMMI分析以了解雨养绿豆（Vigna radiata L.）的基因型-环境（G×E）相互作用。

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The additive main effects and multiplicative interaction (AMMI) model was used to analyse the yield and yield component traits data of 58 mungbean genotypes grown in six moisture stress location-year environments. Main effects due to environments (E), genotypes (G) and G × E interaction were found significant for plant height, number of branches per plant, number of clusters per plant, number of pods per plant, 100 seed weight and grain yield per plant (P < 0.01). Gollob’s test declared two components, Interaction Principal Component Axis 1 (IPCA 1) and IPCA 2, statistically significant (P < 0.01) for all the traits studied. The IPCA 1 of traits studied were accounted more than 62% of the G × E sum of squares. This study revealed that expression of mungbean genotypes varies between locations under drought condition, and brings out the suitability of specific genotype to rainfed condition through the biplot. Furthermore, biplot reflects maturity groups for the genotypes, with short duration mungbean at the bottom, medium duration genotypes in the middle and long duration genotypes at the top. AMMI provided such insight into G × E interactions. Trait by environment biplot clustered the location into four distinct groups. Site E4 was characterized by strong positive associations of yield, number of seeds per pod and 100 seed weight. Correlation between environmental scores and environmental variables gives a useful insight about the interaction effects. In the present study, statistical analysis of yield trials of mungbean under moisture stress with the AMMI model has revealed practical implications for plant breeding research towards drought tolerance in mungbean.
机译：利用加性主效应和乘性交互作用（AMMI）模型分析了在六个水分胁迫定位年环境中生长的58个绿豆基因型的产量和产量构成特征数据。发现由于环境（E），基因型（G）和G×E相互作用而产生的主要影响对于植物高度，每株植物的枝条数，每株植物的簇数，每株植物的豆荚数，每粒种子100粒重和籽粒产量具有重要意义植物（P <0.01）。 Gollob的测试声明了两个组成部分，即交互作用的主要组成部分轴1（IPCA 1）和IPCA 2，在所有研究的性状上均具有统计学意义（P <0.01）。研究的性状的IPCA 1占G×E平方和的62％以上。这项研究表明，在干旱条件下，绿豆基因型的表达随位置的不同而变化，并通过双谱图揭示了特定基因型对雨养条件的适应性。此外，双线图反映了该基因型的成熟度组，底部为短时绿豆，中期为中度基因型，顶部为长基因型。 AMMI提供了有关G×E相互作用的见解。环境双标的特征将位置分为四个不同的组。部位E4的特征是产量，每个豆荚的种子数和100种子重量之间呈正相关。环境得分与环境变量之间的相关性提供了有关相互作用效应的有用见解。在本研究中，利用AMMI模型对水分胁迫下的绿豆产量试验进行统计分析，揭示了其对绿豆耐旱性的植物育种研究的实际意义。

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