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Evaluation of Genotype x Environment Interaction in Rice Based on AMMI Model in Iran

机译:基于AMMI模型的水稻基因型x环境相互作用评价。

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摘要

Identification of high-yielding stable promising rice lines and determination of suitable areas for rice lines would be done by additive main effects and multiplicative interaction (AMMI) model.Seven promising rice genotypes plus two check varieties Shiroudi and 843 were analyzed using a randomized complete block design with three replications in three consecutive years (2012,2013 and 2014).Homogenous error variance was indicated in the nine environments for grain yield.The combined analysis of variance indicated significant effects of environment,genotype and genotype × environment (GE) interactions on grain yield.The significant effect of GE interaction reflected on the differential response of genotypes in various environments and demonstrated that GE interaction had remarkable effect on genotypic performance in different environments.The application of AMMI model for partitioning the GE interaction effects showed that only the first two terms of AMMI were significant based on Gollob's F-test.The lowest AMMI-1 was observed for G7,G2 and G6.G7 and G6 had higher grain yield.According to the first eigenvalue,which benefits only the first interaction principal component scores,G1,G6,G2 and G9 were the most stable genotypes.The values of the sum of first two interaction principal component scores could be useful in identifying genotype stability,and G6,G5 and G2 were the most dynamic stable genotypes.AMMI stability value introduced G6 as the most stable one.According to AMMI biplot view,G6 was high yielding and highly stable genotype.In conclusion,this study revealed that GE interactions were an important source of rice yield variation,and its AMMI biplots were forceful for visualizing the response of genotypes to environments.
机译:通过加性主效应和乘性相互作用(AMMI)模型确定高产稳定的有前景水稻品系,并确定适合的稻系面积。使用随机完整区组分析了七个有前途的水稻基因型以及两个检查品种Shiroudi和843。连续三年(2012年,2013年和2014年)进行三次重复设计,在9种粮食产量环境中显示出均一的误差方差,方差的组合分析表明环境,基因型和基因型×环境(GE)相互作用对玉米产量的显着影响GE相互作用的显着影响反映了不同环境中基因型的差异响应,表明GE相互作用对不同环境中的基因型表现有显着影响.AMMI模型在GE相互作用效应中的应用表明,只有第一个基于Gollo,AMMI的两个术语很重要b的F检验.G7,G2和G6的AMMI-1最低,G7和G6的谷物产量更高。根据第一个特征值,仅有益于第一个相互作用主成分评分G1,G6,G2和G9前两个相互作用主成分得分的总和值可用于识别基因型稳定性,G6,G5和G2是最动态的稳定基因型。AMMI稳定性值将G6引入为最稳定的基因型。根据AMMI双谱图的观点,G6是高产且高度稳定的基因型。总之,本研究表明,GE相互作用是水稻产量变化的重要来源,其AMMI双谱图对于可视化基因型对环境的响应是有力的。

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  • 来源
    《水稻科学(英文版)》 |2017年第3期|173-180|共8页
  • 作者单位

    Department of Agronomy and Plant Breeding, Rasht Branch, Islamic Azad University, Rasht 41476-54919, Iran;

    Department of Agronomy and Plant Breeding, Rasht Branch, Islamic Azad University, Rasht 41476-54919, Iran;

    Rice Research Institute of Iran, Agricultural Research Education and Extension Organization, Amol 91951-46191, Iran;

    Rice Research Station of Iran, Agricultural Research Education and Extension Organization, Tonekabon 13475-41996, Iran;

    Young Researchers and Elite Club, Rasht Branch, Islamic Azad University, Rasht 41476-54919, Iran;

  • 收录信息 中国科学引文数据库(CSCD);中国科技论文与引文数据库(CSTPCD);
  • 原文格式 PDF
  • 正文语种 eng
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  • 入库时间 2022-08-19 04:05:58
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