棉花种质资源纤维品质性状精准鉴定及综合评价

Accurate identification and comprehensive evaluation of fiber quality traits of cotton germplasm resources

  • 摘要:
    目的 为了充分利用棉花种质资源,促进纤维品质育种,为纺织业提供适纺及高品质的纤维原料。
    方法 以收集的180份棉花种质资源为材料,对其主要纤维品质性状进行测定分析。
    结果 180份棉花资源的8个品质性状变异幅度在1.29%~20.33%之间,各纤维品质性状在不同材料间差异较大,遗传变异较为丰富。相关性分析表明,上半部平均长度与纺织一致性指数、断裂比强度和长度整齐度指数呈极显著正相关;长度整齐度指数与纺织一致性指数、断裂比强度和断裂伸长率呈极显著正相关;断裂比强度与纺织一致性指数呈极显著正相关;断裂伸长率与成熟度指数呈极显著正相关;成熟度指数与马克隆值呈极显著正相关。主成分分析将纤维品质性状聚为3个主成分,分别为纺织一致性指数因子、成熟度指数因子和马克隆值因子,累计贡献率为89.65%。基于8个纤维品质性状2年的平均值进行聚类分析,对180份参试材料进行聚类,可分为5个类群。
    结论 参试棉花种质资源遗传多样性丰富,180份棉花资源的8个品质性状变异程度较高;通过聚类分析将180份参试材料划分成了五类。在具体实践中,可根据目标用途进行综合分析及利用,从而为纺织业提供质量优、可纺性好的纤维原材料。

     

    Abstract:
    Objective The objective of this study is to make full use of cotton germplasm resources and promote fiber quality breeding in the hope of providing suitable spinning and high-quality fiber raw materials for the textile industry.
    Methods 180 collected cotton germplasm resources were applied as research materials to analyze their main fiber quality traits.
    Results 8 quality traits of 180 cotton resources variations ranged from 1.29% to 20.33%. There were significant differences in fiber quality traits among different materials and the genetic variation of tested materials was rich. The correlation analysis showed that fiber length was significantly positively correlated to textile consistency index, fiber strength and uniformity index. Uniformity index was significantly positively correlated to textile consistency index, fiber strength and breaking elongation. Fiber strength was significantly positively correlated to textile consistency index. Breaking elongation was significantly positively correlated to maturity index. Maturity index was significantly positively correlated to micronaire. Principal component analysis divided fiber quality traits into three principal components, which might be regarded as textile consistency index factor, maturity index factor and micronaire factor. The cumulative contribution rate of the extracted three principal components was 89.65%. Cluster analysis classified the 180 tested materials into five clusters based on the two-years average of 8 fiber quality traits.
    Conclusion The participating cotton germplasm resources are rich in genetic diversity, and the 8 quality traits of 180 cotton resources display a higher genetic variability. By cluster analysis, the 180 participating materials are divided into 5 categories. In practice, it can be comprehensively analyzed and utilized according to the target use, so as to provide the textile industry with excellent quality and spinning fiber raw materials.

     

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