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  • 李慧琴,于娅,王鹏,等.270份陆地棉种质资源农艺性状与品质性状的遗传多样性分析[J].植物遗传资源学报,2019,20(4):903-910.    [点击复制]
  • Li Hui-qin,Yu Ya,Wang Peng,et al.Genetic Diversity Analysis of the Main Agronomic and Fiber Quality Characters in 270 Upland Cotton Germplasm Resources[J].植物遗传资源学报,2019,20(4):903-910.   [点击复制]
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270份陆地棉种质资源农艺性状与品质性状的遗传多样性分析
李慧琴1,2, 于娅1, 王鹏1, 刘记1, 胡伟1, 鲁丽丽1,3, 秦文强1,3
0
(1中国农业科学院棉花研究所/棉花生物学国家重点实验室,安阳455000;2新建生产建设兵团第三师农业科学研究所,图木舒克843900;3新疆农业大学,乌鲁木齐830052)
摘要:
本研究对270份陆地棉种质资源的7个农艺性状和5个纤维品质性状进行遗传多样性、相关性、主成分和聚类分析,进而筛选适宜优良性状的棉花种质资源材料,为棉花育种工作中亲本选配与品种选育提供一定的理论参考依据。结果表明该批棉花种质资源具有丰富的遗传多样性,12个农艺性状的变异系数从大到小依次为结铃数(24.2%)、第一果枝长度(17.5%)、第一果枝节位(14.1%)、单铃重(13.3%)、马克隆值(11.1%)、株高(11.0%)、衣分(10.9%)、果枝数(9.6%)、断裂比强度(8.6%)、上半部平均长度(6.3%)、伸长率(2.0%)和整齐度指数(1.6%);相关分析表明上半部平均长度与株高呈显著正相关,与马克隆值呈显著负相关,衣分与株高和断裂比强度呈显著正相关,与果枝数呈显著负相关,马克隆值与伸长率呈极显著正相关,结铃数与第一果枝节位呈显著正相关;主成分分析表明前4个主成分累计贡献率达到67.358%,第一主成分主要和纤维品质有关,第二主成分主要与结铃数、第一果枝长度有关,第三主成分主要与果枝数有关,第四主成分主要与第一果枝节位有关;聚类分析将270份陆地棉种质资源在遗传距离为7.5时划分为6类,第1类群的棉花材料可作为改良棉花断裂比强度的材料加以利用,泗棉2号、南丹巴地大花、鄂抗棉8号和Qik可作为改良棉花产量构成的材料加以利用,聊113、军棉1号、辽阳绿绒棉和保2367可作为改良棉花马克隆值的材料加以利用,陕三原78-782可作为株型改良的材料加以利用,育种工作中可以结合性状之间的关系,培育新品种与新品系,为棉花品种选育提供理论依据。
关键词:  陆地棉  种质资源  农艺性状  遗传多样性
DOI:10.13430/j.cnki.jpgr.20181025003
投稿时间:2018-10-25修订日期:2018-11-27
基金项目:国家重点基础研究发展计划(973计划)(2016YFD0101401)
Genetic Diversity Analysis of the Main Agronomic and Fiber Quality Characters in 270 Upland Cotton Germplasm Resources
Li Hui-qin1,2, Yu Ya1, Wang Peng1, Liu Ji1, Hu Wei1, Lu Li-li1,3, Qin Wen-qiang1,3
(1State Key Laboratory of Cotton Biology/ Institute of Cotton Research of Chinese Academy of Agricultural Sciences,Anyang 455000;2 Agricultural Science Institute of the Third Division of Xinjiang Production and Construction Group,Tumshuq 843900;3Xinjiang Agricultural University,Urumqi 830052)
Abstract:
In this study, we analyzed the phenotypic variation of seven agronomic traits and five fiber quality traits were analyzed in 270 cotton germplasm resources. We expected to identify the upland cotton germplasm materials suitable for trait improvement, particularly interested in the Yellow River Basin and the selection of parents in future breeding work. Twelve agronomic traits showed different levels of genetic variation (boll number per plant, 24.2%; first branch length, 17.5%; first branch position, 14.1%; boll weight, 13.3%; micronaire value, 11.1%; plant height, 11.0%; lint percentage, 10.9%; fruit branch number per plant, 9.6%; fiber strength, 8.6%; upper half mean length, 6.3%; elongation ratio, 2.0%; and regularity degree, 1.6%). The upper half mean length positively correlated with plant height, and negatively correlated with micronaire value; the lint percentage positively correlated with either plant height or fiber strength, and negatively correlated with fruit branch number per plant; the micronaire value positively correlated with the elongation ratio; and the boll number per plant positively correlated with the first branch position. The cumulative contribution of the top four principal factors reached 67.358% in the principal component analysis. The first principal factor was mainly related to fiber quality; the second was mainly related to boll number per plant and first branch length; the third was mainly related to fruit branch number per plant; and the fourth was mainly related to first fruit branch number per plant position. Cluster analysis classified 270 cotton germplasms into six groups. Therefore, the cotton resources of the first cluster can be used as materials to improve the upper half mean length and fiber strength of cotton. SIMIAN 2, NANDANBADIDAHUA, EKANGMIAN8, and Qik can be used as materials for improving cotton yield; LIAO113, JUNMIAN1, LIAOYANGLVRONGMIAN, and BAO2367 can be used to improve the cotton micronaire value; and SHANSANYUAN78-782 can be used to improve the cotton type. Thus, this work provided a theoretical basis for cotton breeding by pyramiding these elite traits during breeding to cultivate new varieties and strains.
Key words:  upland cotton  germplasm resources  agronomic traits  genetic diversity

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