首页> 外文期刊>The Madras Agricultural Journal >Genetic Divergence, Correlation and Path Analysis in Okra (Abelmoschus esculentus (L.) Moench)
【24h】

Genetic Divergence, Correlation and Path Analysis in Okra (Abelmoschus esculentus (L.) Moench)

机译:黄秋葵(Abelmoschus esculentus(L.)Moench)的遗传发散,相关性和路径分析

获取原文
获取原文并翻译 | 示例
           

摘要

The nature and magnitude of genetic divergence in 35 okra genotypes for ten characters were assessed using Mahalanobis D~2 statistic. The mean for pod yield per plant was higher in the genotype Pusa A4 (443.00 g) followed by Parbhani Kranti (406.03 g)and Punjab Padmini (378.67 g). The genotypes were grouped into ten clusters. Cluster III was the largest containing 16 genotypes followed by cluster VIII with four genotypes. Composition of clusters indicated non existence of correspondence between genetic diversity and geographical distribution. Pod yield, plant height and length of edible pod were the major characters contributing towards divergence. Cluster VII and X (83.25) were the most divergent followed by cluster V and X (74.05). This study canwell be utilized for selection of divergent genotypes for further crop improvement programme. It is suggested that varietal improvement programme through the hybridization among the genotypes of divergent clusters should be done rather than depending onless divergent clusters. Pod yield per plant had significant positive relationship with number of pods per plant at phenotypic, genotypic and environmental levels. It evinced significant positive phenotypic and genotypic associations with single pod weight. It also showed positive significant association with plant height at genotypic level. Path analysis revealed the importance of number of pods per plant and single pod weight in the pod yield enhancement in okra. Number of pods per plant exerted highpositive direct effect towards pod yield plant. It was followed by single pod weight. Moreover, many characters exerted their positive indirect effect towards pod yield per plant through number of pods per plant. The magnitude of genotypic correlationswas more than that of phenotypic correlation for all the traits.
机译:利用Mahalanobis D〜2统计量,对35个秋葵基因型10个性状的遗传差异的性质和大小进行了评估。基因型Pusa A4(443.00 g),其次是Parbhani Kranti(406.03 g)和Punjab Padmini(378.67 g),单株豆荚平均产量更高。基因型被分为十个簇。集群III是最大的,包含16个基因型,其次是集群VIII,具有四个基因型。簇的组成表明遗传多样性和地理分布之间不存在对应关系。荚果产量,株高和可食荚果长度是导致发芽的主要特征。集群VII和X(83.25)的分歧最大,其次是集群V和X(74.05)。该研究可用于选择不同的基因型,以进一步改善作物。建议应该通过发散簇的基因型之间的杂交来进行品种改良计划,而不是依赖于无数发散簇。在表型,基因型和环境水平下,单株荚果产量与单株荚果数量显着正相关。它证明了单荚果重量的显着正表型和基因型关联。在基因型水平上,它还与植物高度呈正相关。路径分析揭示了在秋葵中提高荚果产量的重要性,每株荚果的数量和单荚果的重量很重要。每株豆荚的数量对豆荚产量的植物表现出高的正效应。其次是单荚重量。此外,许多性状通过单株荚的数量对单株荚产量发挥了积极的间接作用。对于所有性状,基因型相关性的幅度都大于表型相关性。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号