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草业学报 ›› 2022, Vol. 31 ›› Issue (3): 156-167.DOI: 10.11686/cyxb2021217

• 研究论文 • 上一篇    

77份裸燕麦品种籽粒相关性状分析

沈吉成1,2(), 王蕾1,2, 赵彩霞1,2,3, 叶发慧1,2,3, 吕士凯1,2, 刘德梅1,2, 刘瑞娟1,2, 张怀刚1,2,3, 陈文杰1,2()   

  1. 1.中国科学院高原生物适应与进化重点实验室,中国科学院西北高原生物研究所,中国科学院种子创新研究院,青海 西宁 810008
    2.青海省作物分子育种重点实验室,青海 西宁 810008
    3.中国科学院大学,北京 100049
  • 收稿日期:2021-06-01 修回日期:2021-08-20 出版日期:2022-03-20 发布日期:2022-01-15
  • 通讯作者: 陈文杰
  • 作者简介:Corresponding author. E-mail: wjchen@nwipb.cas.cn
    沈吉成(1989-),男,甘肃兰州人,助理工程师,硕士。E-mail: 1911561480@qq.com
  • 基金资助:
    第二次青藏高原综合科学考察研究项目(2019QZKK0303);青海省重点研发与转化计划项目(2019-NK-117);青海省创新平台建设项目(2021-ZJ-Y05);中国科学院青年创新促进会(2019420)

Analysis of the grain related traits of 77 naked oat varieties

Ji-cheng SHEN1,2(), Lei WANG1,2, Cai-xia ZHAO1,2,3, Fa-hui YE1,2,3, Shi-kai LV1,2, De-mei LIU1,2, Rui-juan LIU1,2, Huai-gang ZHANG1,2,3, Wen-jie CHEN1,2()   

  1. 1.Key Laboratory of Adaptation and Evolution of Plateau Biota,Northwest Institute of Plateau Biology,Innovation Academy for Seed Design,Chinese Academy of Sciences,Xining 810008,China
    2.Qinghai Provincial Key Laboratory of Crop Molecular Breeding,Xining 810008,China
    3.University of Chinese Academy of Sciences,Beijing 100049,China
  • Received:2021-06-01 Revised:2021-08-20 Online:2022-03-20 Published:2022-01-15
  • Contact: Wen-jie CHEN

摘要:

对77份裸燕麦品种籽粒品质等相关性状进行测定,运用聚类分析方法对测定指标进行分类比较,并采用灰色关联度进行综合评价,以期筛选出籽粒性状在青海表现良好的裸燕麦品种。主要研究结果如下:1)供试燕麦品种千粒重变异系数最高为49.29%,籽粒粗脂肪和粗蛋白含量变异系数相对较低,分别为12.23%和9.83%;千粒重与籽粒长度、宽度和直径呈极显著正相关;籽粒含水率与粗蛋白、淀粉含量呈极显著负相关,籽粒粗蛋白含量与粗脂肪含量呈极显著负相关;2)灰色关联分析表明77份裸燕麦品种籽粒性状综合评价较高的3个品种分别为5号(0.679)、73号(0.676)和26号(0.649);3)供试燕麦性状聚类分析表明,77份裸燕麦品种可被分成6个类群,其中类群Ⅵ中综合评价前10的品种占70%,包括综合评价较高的3个品种( 5号、73号和26号),可考虑作为优异燕麦品种的选择区域。

关键词: 裸燕麦, 籽粒营养品质, 权重, 灰色关联度, 综合评价

Abstract:

The objective of this study was to measure the grain quality and other traits of 77 naked oat (Avena nuda) varieties, and use the cluster analysis method to classify and compare the measurement indicators, and use the gray correlation degree for a multivariate evaluation, to identify naked oat varieties most suitable for planting in Qinghai. The main findings were as follows: 1) The coefficient of variation of 1000-grain weight was the highest at 49.29%, followed by grain crude fat and crude protein contents (12.23% and 9.83%, respectively). The highest significant positive correlations with 1000-grain weight were for grain length, width and diameter. The grain crude protein and starch contents were significantly negatively correlated with grain moisture content, and the grain crude protein content was extremely significantly negatively correlated with crude fat content. 2) The results of multivariate evaluation of multiple indicators of the tested oat varieties using grey system theory showed that three varieties with the best multivariate score among the 77 different naked oat varieties were No. 5 (0.679), No. 73 (0.676) and No. 26 (0.649). 3) Cluster analysis of the same traits of the tested varieties yielded six groups, and among these group Ⅵ included 70% of the top 10 varieties identified by multivariate evaluation, including the 3 varieties with the highest multivariate score (Nos. 5, 73 and 26). This group can therefore be regarded as identifying excellent naked oat varieties.

Key words: naked oat, grain nutritional quality, weight, gray relevancy, multivariate evaluation