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作 者:沈吉成 王蕾[1,2] 赵彩霞 叶发慧 吕士凯 刘德梅 刘瑞娟[1,2] 张怀刚 陈文杰[1,2] SHEN Ji-cheng;WANG Lei;ZHAO Cai-xia;YE Fa-hui;LV Shi-kai;LIU De-mei;LIU Rui-juan;ZHANG Huai-gang;CHEN Wen-jie(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;Qinghai Provincial Key Laboratory of Crop Molecular Breeding,Xining 810008,China;University of Chinese Academy of Sciences,Beijing 100049,China)
机构地区:[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
出 处:《草业学报》2022年第3期156-167,共12页Acta Prataculturae Sinica
基 金: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)资助。
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。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.
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