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张雪婷,杨文雄,曹 东.甘肃省近年来育成冬小麦品种农艺性状的区域表现及遗传多样性分析[J].麦类作物学报,2016,36(11):1464
甘肃省近年来育成冬小麦品种农艺性状的区域表现及遗传多样性分析
Regional Performance and Genetic Diversity Analysis on Released Winter Wheat Varieties in Gansu Province
  
DOI:10.7606/j.issn.1009-1041.2016.11.08
中文关键词:  甘肃  冬小麦  育成品种  农艺性状  遗传多样性指数
英文关键词:Gansu  Winter wheat  Registered varieties  Agronomic traits  Genetic diversity
基金项目:甘肃省农业科学院创新团队项目(2014GAAS06)
作者单位
张雪婷,杨文雄,曹 东 (1.甘肃省农业科学院小麦研究所甘肃兰州 730070 2.中国科学院西北高原生物研究所青海西宁 810000) 
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中文摘要:
      为挖掘甘肃省冬小麦种质资源潜力,对74份2003-2014年甘肃省不同生态区域通过审定的冬小麦品种进行了农艺性状和SSR分子标记的遗传多样性分析。结果表明,陇中地区除穗粒重外,其他农艺性状的遗传多样性指数H′值均高于陇南和陇东地区。其中,生育期天数、穗长、穗下节长、穗粒重的H′值在全部区域中均最高,均大于2.0。经主成分分析,前三个主成分(株高因子、产量因子、生育期天数因子)对变异的贡献率达86.303%;陇中地区的品种与陇东、陇南地区在基因库上存在一定差异。利用42对SSR引物对参试品种的多态性进行检测,结果显示,每对引物检测到等位变异1~17个,平均等位变异7个,全部引物共检测到298个等位变异。经聚类分析,参试品种间遗传相似系数(GS)的变异范围为0.486~0.781,平均值为0.605。全部参试品种可分为3个大类,7个亚类。
英文摘要:
      This article analyzed agronomic character′s genetic diversity and SSR polymorphism of 74 registered winter wheat varieties in Gansu province from 2003-2014,which located in different Gansu areas. The agronomic character′s results show that nine genetic diversity indices (H′) of central Gansu area were higher than those of other areas,except spike grain weight.The H′ indices of growth days,spike length,peduncle length and spike grain weight in each area was more than 2.0. Meanwhile,principle component analysis of agronomic characters indicated three principal components made 86.303% contribution to variation,which offered by height,yield,and duration. However,the gene bank of winter varieties in central Gansu area was different from that of varieties in Southern and Eastern areas. Furthermore,42 pairs of primers were designed in genetic diversity by SSR markers. The result shows that each pair of SSR primer could be detected one to 17 alleles with an average of seven. A total of 298 alleles had been identified in all varieties. The value of genetic similarity (GS) varied from 0.486 to 0.781 with an average of 0.605. Based on GS,all the varieties had been divided into three categories and seven subclasses by clustering analysis.
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