评估不同秋葵基因型之间的遗传差异

Renu Fandan, S. K. Dhankhar, Davinder Singh, .. Sudesh, Vikas Raa
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摘要

利用 Mahalanobis D2 统计量分析了 30 种不同秋葵基因型的遗传差异,结果表明存在大量的遗传变异。聚类、聚类间和聚类内距离以及性状贡献率有助于深入了解所研究秋葵种群的遗传变异性和多样性。30 个不同的基因型被分为 5 个聚类,其中聚类 I 中的基因型最多,有 18 个,聚类 III 和 V 中有 5 个,聚类 II 和 IV 中各有 1 个基因型。聚类间和聚类内的 D2 值分别为 8.00 至 16.7 和 0.0 至 7.4。结果表明,聚类间的距离大于聚类内的距离,表明不同组的基因型之间存在广泛的遗传多样性。5 个聚类中 11 个特征的聚类平均值表明,单株产量(222.1-253.1)、单株果数(31.8-38.9)、株高(59.0-100.7)和开花天数(42.8-54.0)的遗传变异范围较大。据报道,单株果数(46.4%)和第一果节(16.3%)对产量及其遗传差异的贡献率最大。基因型 HB-691-08、HBT-49-1、Hisar Unnat、Hisar Naveen、HBTC-6-7-1、Varsha Uphar、Arka Abhay 在总产量和产量归因性状方面表现优异。这些基因型被用于利用遗传变异进一步开展育种计划。
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Evaluation of Genetic Divergence among Different Okra Genotypes
Mahalanobis D2 statistics were used to analyse the genetic divergence of thirty different okra genotypes, and the results showed that there was a significant amount of genetic variety. The clustering, inter and intra-cluster distances, and trait contributions provided insights into the genetic variability and diversity within the studied okra population. Thirty diverse genotypes were grouped into five clusters with the highest of eighteen genotypes in the cluster I, five in the cluster III & V and one each genotype in the cluster II and IV. Inter and intra cluster D2 values ranged from 8.00 to 16.7 and 0.0 to 7.4, respectively. It showed that inter cluster distance was higher than the intra cluster distance indicating wide genetic diversity among the genotypes of different groups. The cluster means of 11 characters among five clusters indicated that high genetic variability ranged present for yield per plant (222.1-253.1), number of fruits per plant (31.8-38.9), plant height (59.0-100.7) and days to fifty percent flowering (42.8-54.0). The per cent contribution of yield and its attributing characters in genetic divergence were reported maximum for number of fruits per plant (46.4%) and first fruit node (16.3%). The genotypes HB-691-08, HBT-49-1, Hisar Unnat, Hisar Naveen, HBTC-6-7-1, Varsha Uphar, Arka Abhay were superior for overall yield and yield attributing characters. These genotypes were used to exploit genetic variation for further breeding programme.
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