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基于DUS测试性状的普通小麦测试品种的遗传多样性分析
引用本文:王永行,白立华,单飞彪,杜瑞霞,郭宏强,杨钦方,刘春晖.基于DUS测试性状的普通小麦测试品种的遗传多样性分析[J].黑龙江农业科学,2017(1).
作者姓名:王永行  白立华  单飞彪  杜瑞霞  郭宏强  杨钦方  刘春晖
作者单位:巴彦淖尔市农牧业科学研究院,内蒙古 临河,015000
摘    要:通过对19份用于DUS测试的普通小麦品种进行遗传多样性分析,形态多样性结果表明不同品种间质量性状的遗传多样性相对较为丰富,在DUS测试三性判定时要更多依据质量性状的差异进行判定。相关分析结果表明:穗长和旗叶长存在极显著的正相关关系,相关系数为0.67,不育小穗数与穗粒数达到极显著的负相关关系,相关系数为-0.90;建议用穗长代替旗叶长、用穗粒数代替不育小穗数,取消旗叶宽作为测试性状。聚类分析结果表明:测试品种大部分分一类、近似品种大部分分一类,这就要求测试体系人员对测试指南进行进一步的修正,以便于用更好的方法去区分不同的品种为DUS测试服务。

关 键 词:普通小麦  多样性分析  相关分析  聚类分析  DUS测试

Diversity Analysis on Morphological Characteristics of theTest Varieties Based on Wheat DUS Testing
WANG Yong-xing,BAI Li-hua,SHAN Fei-biao,DU Rui-xia,GUO Hong-qiang,YANG Qin-fang,LIU Chun-hui.Diversity Analysis on Morphological Characteristics of theTest Varieties Based on Wheat DUS Testing[J].Heilongjiang Agricultural Science,2017(1).
Authors:WANG Yong-xing  BAI Li-hua  SHAN Fei-biao  DU Rui-xia  GUO Hong-qiang  YANG Qin-fang  LIU Chun-hui
Abstract:Based on 19 wheat varieties for DUS test,the genetic diversity was analyzed,the results showed that the diversity of different varieties quality traits were relatively abundant,in DUS test modes when deciding to more basis on identify the differences of quality traits.Correlation analysis results showed that the ear length and flag leaf length had a significant positive correlation,the correlation coefficient was 0.67,sterile spikelet number and grain number per spike reached extremely significant negative correlation relationship,the correlation coefficient was-0.90,it was suggested that using ear length replaced flag leaf length,ear grain number replaced sterile spikelet number,and cancelling the flag leaf width as test traits.Cluster analysis results showed that the most test varieties were in the same category and the most approximate varieties were in the same category.This required the personnels of test system to constantly revise the testing guidelines in the future,which was convenient to distinguish different varieties and service for DUS Testing.
Keywords:wheat  diversity analysis  correlation analysis  clustering analysis  DUS testing
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