中国农业科学 ›› 2017, Vol. 50 ›› Issue (24): 4679-4691.doi: 10.3864/j.issn.0578-1752.2017.24.002

• 作物遗传育种·种质资源·分子遗传学 • 上一篇    下一篇

新疆陆地棉种质资源的综合评价

刘翔宇,赵龙,巴哈尔古丽·先木西,彭华,阿不都热衣木·玉拉音   

  1. 新疆农业科学院吐鲁番农业科学研究所,新疆吐鲁番838000
  • 收稿日期:2017-03-23 出版日期:2017-12-16 发布日期:2017-12-16
  • 通讯作者: 阿不都热衣木·玉拉音,E-mail:a-ibrayim@163.com
  • 作者简介:刘翔宇,E-mail:lxy791021@sina.com
  • 基金资助:
    国家“十二五”科技支撑计划(2013BAD01B03-07)、新疆少数民族科技人才特殊培养计划(201223105)

Comprehensive Evaluation of Germplasm Resources of Upland Cotton in Xinjiang

LIU XiangYu, ZHAO Long, BAHARGUL·Xamxi, PENG Hua, ABDUREYIM·Ibrayim   

  1. Turpan Research Institute of Agricultural Sciences, Xinjiang Academy of Agricultural Sciences, Turpan 838000, Xinjiang
  • Received:2017-03-23 Online:2017-12-16 Published:2017-12-16

摘要: 【目的】基于形态指标、产量指标和品质指标,综合评价棉花种质资源在新疆季节性水分匮缺条件下的表现,为旱区棉花主栽品种的确定和品种改良奠定基础。【方法】以126个棉花品种(系)为试验材料,对其在季节性水分匮缺状态下的株高、果枝数、生育期、有效铃数、单铃重、衣分、籽指、籽棉产量、皮棉产量、纤维长度、整齐度、比强度、伸长率、马克隆值、反射率、黄度和纺纱均匀性指数共17项数量性状指标进行测定,运用相关分析、主成分分析、聚类分析、逐步判别分析和多元方差分析等方法对这些棉花种质资源进行综合评价。【结果】首先,相关分析的结果表明,17项数量性状间存在一定的相关性和信息的重叠,因为56对数量性状的相关系数达到极显著水平,22对数量性状的相关系数达到显著水平。第二,主成分分析的结果表明,前8个主成分代表了126个棉花品种的17项数量性状86.34%的信息,其贡献率分别为27.45%、17.18%、11.61%、8.42%、6.66%、5.33%、5.08%和4.63%。第三,聚类分析的结果表明,当类间距离为12.5时,126个棉花品种被聚为7大类,第Ⅰ类有22个品种、第Ⅱ类有17个品种、第Ⅲ类有19个品种、第Ⅳ类有28个品种、第Ⅴ类有19个品种、第Ⅵ类有13个品种、第Ⅶ类有8个品种。第四,逐步判别分析的结果表明,114个棉花品种被正确判别,判对概率为90.48%;12个棉花品种被误判,误判率为9.52%,这说明聚类分析的结果是准确可靠的。最后,多元方差分析结果表明,第Ⅰ类为中产中等品质品种,第Ⅱ类为低产优质类品种,第Ⅲ类为高产优质类品种,第Ⅳ类为中高产中等品质类品种,第Ⅴ类为中高产中上等品质类品种,第Ⅵ类为高产中等品质类品种,第Ⅶ类为低产劣质类品种,同时科学地评价了7个类别的棉花品种,并提出了对应的改良方案。【结论】西北旱区棉花育种一方面在产量上进展明显,除了第Ⅵ类和第Ⅴ类外,大多数品种达不到纺高支纱的要求。适纺中支纱的主栽品种可在第Ⅲ类中选育。第Ⅱ类的纺纱指数达到了适纺高强力优质棉的要求,要着重改良产量指标。今后,西北旱区棉花育种工作要对不同类别的品种,选取适合的育种策略,以达到产量和品质均趋向最优。

关键词: 陆地棉, 干旱, 聚类分析, 综合评价

Abstract: 【Objective】Based on the morphological index, yield index and quality index, this study comprehensive evaluated the performance of the cotton germplasm resources in Xinjiang under the condition of seasonal water deficit in order to determinate main upland cotton cultivars and lay the foundation for the cotton cultivars improvement in Northwestern arid region.【Method】The comprehensive evaluation of quantitative traits about plant height, number of fruit branch, breeding time, effective boll number per plant, boll weight, lint percentage, seed index, seed cotton yield, lint yield, fiber length, fiber uniformity, fiber strength, fiber elongation, micronaire, fiber reflectance, yellow degree and SCI of 126 cotton varieties under the condition of seasonal water deficit were evaluated by correlation analysis, principal components analysis, hierarchical cluster analysis, stepwise discriminant analysis and multivariate analysis of variance etc.【Result】Firstly, the results of the correlation analysis showed that there is a certain correlation and overlap of information between 17 quantitative traits, because 56 of these coefficients is extremely significantly correlation at P<0.01 and 22 of these coefficients is significantly correlation at P<0.05. Secondly, the results of the principal components analysis showed that the first eight principal components represent 86.34% of the information which is the 17 quantitative traits of the 126 cotton varieties. The contribution rate is respectively 27.45%, 17.18%, 11.61%, 8.42%, 6.66%, 5.33%, 5.08%, and 4.63%.Thirdly, the results of the hierarchical cluster analysis showed that the 126 cotton cultivars were clustered into seven categories when the class separation distance is 12.5. Among them, the first classⅠ has 22 varieties, the class Ⅱ has 17 varieties, the class Ⅲ has 19 varieties, the class Ⅳ has 28 varieties, the class has 19Ⅴ varieties, the class Ⅵ has 13 varieties, the class Ⅶ has 8 varieties. Fourthly the results of the stepwise discriminant analysis showed that the results of cluster analysis are accurate and reliable, because 114 cotton varieties were correctly discriminated, which identification rate was 90.48% and 12 cotton varieties were incorrectly discriminated, which false identification rate was 9.52%. Finally, the results of the multivariate analysis showed that the seven categories of cotton varieties were evaluated scientifically and the corresponding improvement schemes were proposed, which were the classⅠwhich is the cultivars of middle yield and middle quality, the classⅡwhich is the cultivars of low yield and high quality, the class Ⅲ which is the cultivars of high yield and high quality, the classⅣwhich is the cultivars of middle- and high- yield and middle quality, the class Ⅴ which is the cultivars of middle- and high- yield and upper middle quality, the class Ⅵ which is the cultivars of high yield and middle quality and the classⅦ which is the cultivars of low yield and low quality.【Conclusion】On the one hand, the work of the cotton breeding in production in Xinjiang has a lot to improvement; On the other hand, most of the cultivars fall short of the requirements of high count cotton, besides the class Ⅵ and the class Ⅴ. The main upland cotton cultivars which are Suitable to Spin middle Count Cotton can be selected in the classⅢ. The classⅡare suitable to spin the high-quality cotton of high tenacity, but their yield indicators need to be improved. In future, in order to achieve the optimality which include yield and quality, the work of the cotton breeding in Northwestern arid region should be done by selecting suitable breeding strategies, according to different category of varieties.

Key words: upland cotton, drought, cluster analysis, comprehensive evaluation