期刊文献+

灰色关联度分析法在小麦区域试验中的应用 被引量:5

Application of Grey Correlation Degree Analysis in Wheat Regional Trials
下载PDF
导出
摘要 [目的]科学合理评价小麦新品种(系),以期为选育和品种审定提供参考。[方法]利用2011、2012年度新疆南疆区域试验数据,应用灰色关联度分析法对15个小麦新品种(系)(含对照)的9个主要性状进行分析。[结果]依据品种(系)的加权关联度顺序所进行的综合评估与品种(系)的实际表现(产量)是基本一致的。关联度靠前的小麦新品种(系)04/34-13、D09-26、99034-33、农大211进入了2013年度生产试验;关联度排名靠后的品种(系)已遭淘汰。[结论]灰色关联度分析法适用于不同地区利用区试结果选择本地最佳的种植品种。 [ Objective ] The aim was to scientifically and reasonably evaluate the new wheat varieties so as to provide references for their se- lecting and breeding. [ Method] The gray correlative degree analysis was adopted to evaluate 9 main agronomic traits of 15 wheat varieties based on the region test data in Southern Xinjiang Province during 2011 -2012. [ Result] The comprehensive evaluation conducted according to the order of the weighted correlation was basically in accordance with the actual performance (output) of varieties. 04/34-13, D09-26, 99034-33 and Nongda211 which rank the front in the sequence of the correlative degree all had been gone into the production test in 2013 ; the correlative degrees of which relatedness were behind had been sifted out. [ Conclusion ] Grey correlation degree analysis is suitable for using regional trial results in different regions to select the best planting varieties of local area.
出处 《安徽农业科学》 CAS 2013年第34期13153-13155,共3页 Journal of Anhui Agricultural Sciences
关键词 小麦品种 灰色关联度 综合评估 Wheat varieties Grey correlation degree Comprehensive evaluation
  • 相关文献

参考文献2

二级参考文献3

共引文献7

同被引文献80

引证文献5

二级引证文献27

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部