Genotypic variation for grain and stover yield of dryland (rabi) sorghum in India 2. A characterisation of genotype x environment interactions
Genotypic variation for grain and stover yield of dryland (rabi) sorghum in India 2. A characterisation of genotype x environment interactions
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DOI：
10.1016/j.fcr.2010.05.014
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发表时间：
2010-09-10
影响因子：
5.8
通讯作者：
Cooper, M.
中科院分区：
文献类型：
--
作者：
DeLacy, I. H.;Kaul, S.;Cooper, M.
基因型与环境相互作用（GEI）已被确定为印度狂犬病高粱品种和杂交种谷物和秸秆产量性状基因型变异的重要组成部分。有人认为，了解这些 GEI 的原因是确定通过常规育种对谷物和秸秆产量进行遗传改良的范围的重要一步。利用模式分析研究了谷物产量、秸秆产量、开花天数和株高四个性状的 GEI 的区域结构，对全印度协调高粱改良计划 (AICSIP) 10 年来测试的品种和杂交种进行了测量。有证据表明，地区差异对谷物产量和开花天数的 GEI 产生了部分影响，但对秸秆产量和株高没有影响。使用聚类分析对 ACSIP 实验中包含的位置进行分组。选择五组级别来检查地点组之间 GEI 的原因。针对观察到的粮食产量试验区域分组提出了假设。一组试验主要由灌溉试验组成，其他四组在对条目施加的干旱胁迫的时间和强度方面有所不同。这项回顾性分析为检验水资源供应环境变化对区域 GEI 谷物和秸秆产量的假设贡献提供了基础。如果这些假设得到证实，则可以修改当前用于 AICSIP 试验的多环境测试策略，以确保对回顾性模式分析确定的五个区域组进行充分抽样。 (C) 2010 Elsevier B.V. 保留所有权利。
Genotype-by-environment-interactions (GEI) have been identified as an important component of the genotypic variation for grain and stover yield traits of rabi sorghum varieties and hybrids in India. It has been argued that obtaining an understanding of the causes of these GEI is an important step to identify the scope for genetic improvement of grain and stover yield by conventional breeding. Pattern analysis was used to investigate the regional structure of the GEI for the four traits grain yield, stover yield, days-to-flower, and plant height, measured on the varieties and hybrids tested over 10 years in the All India Coordinated Sorghum Improvement Program (AICSIP). There was evidence that regional differences accounted for part of the GEI for grain yield and days-to-flower but not for stover yield and plant height. Cluster analysis was used to group the locations included in the ACSIP experiments. The five-group level was chosen to examine the causes of GEI among the location groups. Hypotheses were proposed for the observed regional grouping of trials for grain yield. One group of trials consisted of predominantly irrigated trials, the other four groups differed in the timing and intensity of drought stress imposed on the entries. This retrospective analysis provides a basis for testing the hypothesised contributions of environmental variation in water availability to regional GEI for grain and stover yield. If these hypotheses are substantiated, the current multi-environment testing strategy used for the AICSIP trials could be modified to ensure adequate sampling of the five regional groups identified by the retrospective pattern analysis. (C) 2010 Elsevier B.V. All rights reserved.