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首页> 外文期刊>American Journal of Plant Sciences >Evaluation of Variations in Seed Vigour Characters of West African Rice (Oryza sativa L.) Genotypes Using Multivariate Technique
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Evaluation of Variations in Seed Vigour Characters of West African Rice (Oryza sativa L.) Genotypes Using Multivariate Technique

机译:应用多元技术评价西非水稻基因型种子活力特征的变异

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Seeds of 24 West African rice (Oryza sativa L.) genotypes were evaluated for seed vigour traits in the laboratory and field in two cropping seasons at the Research Farm of Federal University of Agriculture, Abeokuta, Nigeria. Seed yields of these genotypes were also determined in the field during the two seasons. Data collected on seed vigour traits were subjected to multivariate analysis including principal component analysis (PCA) and cluster analysis. The first three axes of the principal component analysis across the two seasons captured 86.34% of the total variation among the entries and identified seedling vigour index-I, seedling vigour index-II, speed of germination index, percentage germination, seedling establishment, emergence percentage and seed yield per plant as the characters contributing most to the variation. Cluster analysis classified these genotypes into four distinct groups based on germination and emergence percentages. Fifteen of the genotypes with mean values of between 60.43% and 65.18%, clustered in group 1, two genotypes each with mean values of 65.71% and 58.81% and 20.11% and 29.49% clustered in groups II and IV respectively while the remaining five genotypes with mean values of between 55.19% and 55.88% clustered in group III. Hybridization of genotypes across dusters could lead to increase in heterosis in cross progenies. Those characters identified by PCA could be included in the crop improvement programme for improved seed quality within West African low land rice germplasm.
机译:在尼日利亚Abeokuta联邦农业大学研究农场的两个种植季节中,在实验室和田间评估了24种西非水稻(Oryza sativa L.)基因型的种子的种子活力特征。还在两个季节的田间确定了这些基因型的种子产量。对种子活力性状收集的数据进行多变量分析,包括主成分分析(PCA)和聚类分析。两个季节的主成分分析的前三个轴捕获了条目之间总变异的86.34 %,并确定了幼苗活力指数-I,幼苗活力指数-II,发芽速度,发芽率,幼苗建立,出苗每个植物的百分比和种子产量是导致变异最大的特征。聚类分析根据发芽率和出苗率将这些基因型分为四个不同的组。在第1组中聚集了15种平均值在60.43%至65.18%之间的基因型,在第II和IV组中聚集了两种均值分别为65.71%和58.81 %以及20.11 %和29.49 %的基因型。第三组中剩下的五个均值在55.19%至55.88%之间的基因型则分别聚集。跨dust子的基因型杂交可导致杂交后代杂种优势的增加。 PCA确定的那些特征可以纳入作物改良计划,以提高西非低陆稻种质的种子质量。

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