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作 者:陶爱芬[1] 祁建民[1] 林培青[1] 方平平[1] 吴建梅[1] 林荔辉[1]
出 处:《中国农业科学》2008年第9期2859-2867,共9页Scientia Agricultura Sinica
基 金:国家自然科学基金资助项目(30571188);国家“948”计划资助项目[2006-G18(B)]
摘 要:【目的】综合评价中国近年育成和引进的红麻品种,为红麻育种和生产利用提供科学依据。【方法】以中国"八·五"至"十·五"期间育种单位选育的及近年从国外引进的共40个红麻品种为供试材料,采用随机区组设计,2年各设3次重复。估算40个红麻品种12个产量和纤维品质性状的主成分,并以前3个主成分和欧氏距离为基础,分别作二维散点图和系统聚类分析。【结果】(1)在40份红麻种质中,前3个主成分累计贡献率达86.07%。第1主成分为韧皮纤维产量构成因子,贡献率达53.44%;第2主成分为茎秆皮骨构成因子贡献率达24.94%;第3主成分为纤维品质构成因子,贡献率达7.69%。(2)根据品种性状主成分表现,评选出综合性状优良的红麻新品种有福红952-1、福红2-1、KB11、福红992、SCS11-09、KB2、福红2号等7个。其中福红992、KB11、KB2和福红952-1等品种3个主成分构成因子协调最好。(3)在主成分二维排序分析中,当以第1主成分分别与第2主成分和第3主成分向量作二维排序分类,供试品种2个二维排序散布图对品种产量和品质性状的评价,可以把产量和品质性状优异的品种与相对较差的品种区分开来。(4)在欧氏距离聚类图中,当取值D=51.08时可把40份品种分成4类,即1个由36个品种聚成的大类群和1个由2个品种构成的亚类群,以及2个单一品种自成体系的个类(福红952-1、福红2号);在D=39.12水平面上,第Ⅰ大类又可分为3个小亚类群和5个相互距离较远的单一品种自成体系的个类,这5个品种分别为C2032、BG52-1、泰红763、金山无刺(迟)和福红7号。【结论】系统聚类结果可揭示出供试品种的相对遗传距离,对红麻育种亲本利用有一定的参考价值。二维排序分析结果对区分供试品种产量与品质性状优劣,具有简便、直观的特点。二维排序和欧氏距离2种不同分类方法,既有共性又有特异性,都能较好地为红麻品[Objective] Principal components (PC) of twelve yield and quality characters of 40 kenaf cultivars from abroad and china, which were selected by breeding institutes during the period from "Eighth Five-Year Plan" to "Tenth Five-Year Plan", were estimated. [Method] The cultivars were classified based on the Euclidean Distance of the first three PCs, as well as the scatter plot of the first two PC vectors, the first and third PC vectors. [Result] The major results are as follow: (1)The first three PCs, which might be regarded as fiber yield component factor (53.44%), fiber and stem weight proportion factor (24.94%) and fiber quality factor (7.69%), account for 86.07% variation among the cultivars. (2) According to the coefficients of the first three PCs, seven elite cultivars were identified: Fu Hong 952-1, Fu Hong 2-1, KB 11, Fu Hong 992, S CS 11-09, KB2, and Fu Hong 2. The coefficients of the first three PCs of KB11, Fu Hong 992, KB2, and Fu Hong 2 were better than others. (3) The evaluation of the fiber yield and quality in kenaf germplasm by scatter plot of the two PC vectors was more direct and simpler. (4) At the level of D=51.08, all cultivars were classified into one major group including 36 cultivars, one smaller group including 2 cultivars and 2 single-variety groups (Fu Hong 952-1, Fu Hong 2). At the level of D=39.12, the major group was classified into 3 smaller groups and 5 single-variety groups (C2032, BG52-l, Tai Hong 763, Jin Shah Wu Ci, Fu Hong 7). [Conclusion] The two classifying ways based on PCs have common groud and also differences, can both provide scientific evidence to the improvment of kenaf varieties.
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