...
首页> 外文期刊>Ciencia Rural >Factor analysis and SREG GGE biplot for the genotype × environment interaction stratification in maize
【24h】

Factor analysis and SREG GGE biplot for the genotype × environment interaction stratification in maize

机译:基因型和时间的因子分析和SREG GGE双图;玉米环境相互作用分层

获取原文
   

获取外文期刊封面封底 >>

       

摘要

> face="Verdana, Arial, Helvetica, sans-serif" size="2">The objective of this study was to evaluate the use of SREG GGE biplot methodology and factor analysis to stratify the genotype×environment interaction in maize. Forty-nine early maize hybrids were evaluated in nine environments. The experimental design used was a 7×7 square lattice with two replicates. Each plot consisted of two 5m long rows spaced 0.90m apart. Grain yield data were used to perform the analysis. The results indicated the existence of two mega-environments in the State of Minas Gerais, Brazil, for early maize hybrids. The stratification of the environment by factor analysis was more selective to join the similarity the according with cultivar performance. However, this approach did not identify specific genotype x environment interactions, which is possible through SREG GGE biplot analysis.
机译:> face =“ Verdana,Arial,Helvetica,sans-serif” size =“ 2”>本研究的目的是评估SREG GGE双图法和因子分析在基因型×环境相互作用中的分层作用。玉米。在9个环境中评估了49个早期玉米杂交种。所使用的实验设计是一个具有两个重复的7×7方格。每个地块由两行5m长的行组成,行距为0.90m。谷物产量数据用于进行分析。结果表明,巴西米纳斯吉莱斯州存在着两个早期玉米杂交大环境。通过因子分析对环境进行分层更具选择性,以使相似性与品种性能挂钩。然而,这种方法并不能确定特定的基因型x环境相互作用,这可以通过SREG GGE双图分析来实现。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号