首页> 外文学位 >The impact of genotype by environment (GXE) interaction on yield of selected southernpea (Vigna uniguiculata (L) Walp) genotypes in southeastern United States.
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The impact of genotype by environment (GXE) interaction on yield of selected southernpea (Vigna uniguiculata (L) Walp) genotypes in southeastern United States.

机译:基因型受环境(GXE)相互作用对美国东南部选定的南方豌豆(Vigna uniguiculata(L)Walp)基因型产量的影响。

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摘要

A series of studies was undertaken to characterize extent, pattern, and potential impact of genotype by environment (GxE) interaction on seed yield and yield components of selected southernpeas genotypes in southeastern USA. Effects of GxE were evaluated in three field experiments, conducted during 1995--1998. Germplasm consisted of southernpea genotypes of contrasting phenology and morphological traits. Structure of GxE effects on seed yield was investigated using, mean square decomposition, and Additive Main Effect and Multiplicative Interaction (AMMI) analyses. Genotype adaption across environments was assessed by application of regression analyses to the data set. AMMI revealed a highly significant genotype by environment interaction, most of which was partitioned into a genotype by location component of variance. The magnitude of this interaction, made it possible to categorize environments into two homogenous groups. Locations with similar IPCA scores consistently grouped together, suggesting that most GxE effects could be captured with fewer testing sites per year. Consequently, some testing sites could be made redundant as their inclusion does not provide additional information to the GxE matrix. Comparison of response patterns of genotypes in future environment showed Coronet, the Industry's standard variety was most responsive at high yielding environments, but changed rank with Arkansas Blackeye and C.T. Pinkeye when grown in low yielding environments. These genotypes performed well at high yielding environments, and thus, may be better all around genotypes than Coronet.;AMMI analyses showed a significant portion of the GxE interaction could be attributed to genotype x planting date (GxD) effects. Rank correlation of June and July seed yields was also highly significant and confirmed the results of AMMI, that the same genotypes were not likely to perform well at either planting date. Entry mean heritability of seed yield in June (0.72) was almost equal to entry mean heritability in July (0.71). This statistical response indicates that gain from selection will be equal at each planting date and consequently, selection could be made with equal reliability at either planting date.;Phenotypic and path correlation coefficients among seed yield and associated traits indicated that increased number of peduncles per plant and increased number of pods per peduncle lead to increased seed yields and as such, could be used as selection criterion for high yielding southernpea.
机译:进行了一系列研究,以表征环境对基因型(GxE)相互作用的程度,模式和潜在影响,对美国东南部选定南豌豆基因型的种子产量和产量构成部分。在1995--1998年进行的三个野外实验中评估了GxE的作用。种质由物候和形态性状相反的南豌豆基因型组成。使用均方分解,加性主效应和乘性相互作用(AMMI)分析研究了GxE对种子产量的影响结构。通过对数据集进行回归分析,评估了跨环境的基因型适应性。 AMMI通过环境相互作用揭示了一个非常重要的基因型,其中大多数根据变异的位置成分被划分为一个基因型。这种相互作用的程度使将环境分为两个同质的组成为可能。具有相似IPCA分数的位置始终分组在一起,这表明每年可以通过较少的测试站点来捕获大多数GxE效果。因此,某些测试站点可能会变得多余,因为它们的包含不会为GxE矩阵提供额外的信息。对未来环境中基因型响应模式的比较显示,冠状病毒是该行业的标准品种,在高产环境下响应最快,但阿肯色州黑眼豆和C.T.改变了排名。在低产环境中生长的红眼病。这些基因型在高产环境下表现良好,因此在所有基因型上可能都比冠号更好。; AMMI分析表明,GxE相互作用的很大一部分可能归因于基因型x种植日期(GxD)的影响。 6月和7月种子产量的等级相关性也非常显着,并证实了AMMI的结果,即相同的基因型在两个播种日期都不太可能表现良好。 6月的种子平均进入度遗传力(0.72)几乎与7月的平均进入遗传力(0.71)相等。该统计响应表明,每个种植日期选择的收益将相等,因此在每个种植日期选择都具有相同的可靠性。;种子产量和相关性状之间的表型和路径相关系数表明,每棵植物的花序梗数量增加以及每花梗荚数的增加导致种子产量的增加,因此可以用作高产南豆的选择标准。

著录项

  • 作者

    Alleyne, John Clement.;

  • 作者单位

    University of Arkansas.;

  • 授予单位 University of Arkansas.;
  • 学科 Botany.;Agronomy.
  • 学位 Ph.D.
  • 年度 1998
  • 页码 104 p.
  • 总页数 104
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

  • 入库时间 2022-08-17 11:48:34

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