Association and principal component analysis of yield and its components in cultivated cotton.
Association and principal component analysis of yield and its components in cultivated cotton.
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DOI：
10.5958/0975-928x.2017.00140.5
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发表时间：
2017-01-01
影响因子：
--
通讯作者：
Isong, A.
中科院分区：
文献类型：
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作者：
Abasianyanga Isong, Abasianyanga Isong;Balu, P. A.;Isong, A.
产量是一个受多个小基因控制的复杂数量性状。为了有效地同时进行选择以提高棉花产量，必须了解每个性状参数的相互作用和贡献。以10个陆地棉和6个海岛棉杂交获得的60个杂交种为材料，采用Line*Tester方式进行了产量构成因素间关系的研究。研究表明，大多数成分之间在基因和表型上都是正相关的。单株铃数、单株合生枝数和铃重与单株籽棉产量呈极显著正相关。在所有情况下，表型系数都大于遗传型系数，表明存在环境干扰。将关联分为直接效应和间接效应，表明籽指对籽棉产量的直接效应最大。对棉花纤维品质的间接选择，以种子指数、单孔数、结铃数较为可靠，以2.5%的跨长、束强、伸长率和马克隆值为宜。6个主成分的特征值大于1，累积变异系数为70.39%。变异最大的主成分主要与籽棉产量、整齐度、铃重、合生基数、单株铃数和株高有关。
Yield is a complex quantitative character that is controlled by many small genes. For effective and simultaneous selection to improve upon yield of cotton, interaction and contribution of each of the trait parameters has to be understood. The study to understand the relationship of yield components was conducted on sixty hybrids obtained from a cross of ten G. hirsutum and six G. barbadense in a Line * Tester fashion. The study revealed that most of the components were positively correlated amongst each other both genotypically and phenotypically. Number of bolls per plant, Number of sympodial branches per plant and boll weight had positive and high significant correlations with seed cotton yield per plant. In all cases phenotypic coefficient was greater than genotypic coefficient suggesting environmental interference. Partitioning the association into direct and indirect effects indicated that seed index had the highest direct effect on seed cotton yield. For indirect selection, seed index, number of monopodia, number of seeds/boll will be more reliable and 2.5% span length, bundle strength, elongation percent and micronaire also are more reliable for indirect selection for fibre quality in cotton. Six Principal components showed Eigen value of more than one with an accumulated variability of 70.39%. The Principal component with the highest variability was mostly related to seed cotton yield, uniformity ratio, boll weight, number of sympodia, number of bolls/plant and plant height.