The Study of Genetic Divergence in Rice (Oryza Sativa L.) Genotypes with Grain Yield and Different Morpho-Physiological Traits using Mahalanobis’ D2 Analysis

M. A. Mohamud, A. Hoque, Abdiaziz Hussein Hassan, M. Hossain, Serajam Monira, Mohamed Ibrahim Muse
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Abstract

The current study attempted to study genetic divergence in rice (Oryza sativa L.) genotypes with grain yield and different morpho-physiological traits among 18 rice varieties using Mahalanobis' D2 analysis. Keeping this in mind, the performance of the studied genotypes, as well as the association between various morpho-physiological and yield contributing traits among the genotypes, were evaluated in the field. The experiments were conducted from July to December 2018 at the Agronomy Field, Department of Agronomy and Agricultural Extension, Faculty of Agriculture, Rajshahi University. In terms of grain yield and other morpho-physiological traits, the genotypes differed significantly. The genotypes were classified into five clusters using Mahalonobis' D2 statistics and Tocher's method (Table 3). Cluster IV was the smallest of the clusters. Cluster l is the largest, with six genotypes. Clusters II and lV each contained three and two genotypes. The pattern of genotype distribution among various clusters reflected the significant genetic variability present in the genotypes, which may be due to adaptation of these genotypes to specific environmental conditions. Genotypes from different clusters are expected (inter-cluster). The intra (bold) and inter-cluster distances from D2 analysis (Table 4). Cluster I has the greatest intra cluster distance (0.956), while Cluster IV has the smallest (0.3583). The greatest inter-cluster distance is observed between cluster IV and (8.190), while the smallest inter-cluster distance is observed between cluster II and IV (2.924). In both vectors, the average inter-cluster distances were greater than the average intra-cluster distances, indicating the presence of greater genetic diversity among genotypes from different clusters than those from the same cluster. These findings indicated that these five traits contributed the most to the divergence among the eighteen rice genotypes. The results revealed that the clusters were remarkably distinct for the majority of the traits, indicating proper clustering. The most effective tiller, grain panicle, effective grain panicle, and days to maturity were found in Cluster V. The intra-cluster mean for grain yield was the lowest in this cluster. Cluster III had the lowest grain yield per acre. This was the cluster with the lowest initial grain yield. The intra-cluster mean for effective tiller and days to maturity was highest in this cluster. Cluster II had the smallest grain yield and the second smallest thousand grain weight. Cluster V had the shortest panicle length intra-cluster.
水稻(Oryza Sativa L.)遗传分化研究利用马氏沼虾D2分析籽粒产量和不同形态生理性状的基因型
本研究利用Mahalanobis' D2分析方法,对水稻(Oryza sativa L.) 18个品种籽粒产量和形态生理性状基因型的遗传差异进行了研究。考虑到这一点,在田间评估了所研究基因型的表现,以及基因型之间各种形态生理和产量贡献性状之间的关系。实验于2018年7月至12月在拉杰沙希大学农学院农学与农业推广系农学领域进行。在籽粒产量和其他形态生理性状方面,基因型差异显著。采用Mahalonobis' D2统计和Tocher's方法将基因型分为5个聚类(表3),聚类IV最小。集群1是最大的,有6个基因型。聚类II和lV分别含有3个和2个基因型。基因型在不同簇间的分布模式反映了基因型存在显著的遗传变异性,这可能是由于这些基因型对特定环境条件的适应。期望来自不同集群的基因型(集群间)。D2分析得出的簇内(粗体)和簇间距离(表4)。簇I的簇内距离最大(0.956),簇IV最小(0.3583)。聚类IV与聚类之间的簇间距离最大(8.190),聚类II与聚类IV之间的簇间距离最小(2.924)。在这两个载体上,聚类间的平均距离都大于聚类内的平均距离,表明不同聚类的基因型比同一聚类的基因型存在更大的遗传多样性。这些结果表明,这5个性状对18个水稻基因型的分化贡献最大。结果表明,大部分性状聚类明显,表明聚类合理。有效分蘖、穗数、有效穗数和成熟天数均以集群v最高,集群内平均产量最低。集群III的亩产最低。这是籽粒初始产量最低的集群。有效分蘖数和成熟期的群内平均值在该群中最高。集群II籽粒产量最小,千粒重次之。簇V的穗长最短。
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