64份淮山种质资源品质性状分析
作者:
作者单位:

作者简介:

通讯作者:

中图分类号:

基金项目:


Analysis on Quality Characters of 64 Yam (Dioscorea L. )Germplasm Resources
Author:
Affiliation:

Fund Project:

  • 摘要
  • |
  • 图/表
  • |
  • 访问统计
  • |
  • 参考文献
  • |
  • 相似文献
  • |
  • 引证文献
  • |
  • 资源附件
  • |
  • 文章评论
    摘要:

    对64份淮山种质资源品质性状进行了分析,结果表明:铁、氨基酸、总皂甙、锌含量的变异系数较大,分别为66.2%、59.9%、44.09%、42.77%;3种类型的淮山种质资源,其淀粉含量差异较大,褐苞薯蓣(23.52%)>参薯(20.48%)>薯蓣(12.93%);因子分析结果显示,淀粉和蛋白质含量累计贡献率达66.786%,可用这2个主成分较好地代替文中6个品质特性来评价与评判淮山品质;相关性分析表明,淀粉含量与与总皂甙含量呈显著正相关,蛋白质含量与总皂甙含量呈极显著正相关,淀粉、蛋白质含量这2个主成分与总皂甙含量之间存在相互促进的效用;聚类分析表明,整个淮山资源可分为3大类,分别为高淀粉型、低淀粉型、高铁型。淮山种质资源品质性状分析,可为日后进行淮山种质资源的创新利用、新品种的选育提供可靠的依据。

    Abstract:

    Abstract: Quality characters of 64 yam germplasm resources were analyzed. Results indicated that the variation coefficient of iron, amino acid , total saponins and zinc content respectively were 66.2%, 59.9%, 44.09% and 42.77%. Starch content had big difference, D.persimilis (23.52%) > D.alata (20.48%) > D.opposita (12.93%). Factor analysis results showed that the cumulative variance contribution rate of starch and amino acid content was 66.786%, which can be better to evaluate and judge the yam quality .Correlation analysis showed that it was positive correlation between the starch content and total saponins content, it was significantly positive correlation between protein content and total saponin content, which meant that starch and protein content were mutual promoting. Cluster analysis showed that the yam resources can be divided into three categories, which was respectively high starch, low starch and high iron. Analysis on quality characters of yam germplasm resources , can provide reliable basis for yam germplasm innov ation and breeding in the future.

    参考文献
    相似文献
    引证文献
引用本文

李艳英,甘秀芹,韦本辉,等.64份淮山种质资源品质性状分析[J].植物遗传资源学报,2016,17(2):246-251.

复制
分享
文章指标
  • 点击次数:
  • 下载次数:
  • HTML阅读次数:
  • 引用次数:
历史
  • 收稿日期:2015-03-23
  • 最后修改日期:2015-10-30
  • 录用日期:2015-11-27
  • 在线发布日期: 2016-03-15
  • 出版日期:
文章二维码
您是第位访问者
ICP:京ICP备09069690号-23
京ICP备09069690号-23
植物遗传资源学报 ® 2024 版权所有
技术支持:北京勤云科技发展有限公司