Multivariate analysis approach to selection of parents for hybridization aiming at yield improvement in self-pollinated crops

Bhatt, G. M.

doi:10.1071/ar9700001

Cited by 87 publications

(61 citation statements)

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“…Genetic diversity is a powerful tool to determine the genetic discrimination among the genotypes which is used to select appropriate parents for hybridization to develop high yielding variety (Bhatt, 1970). With the development of advanced biometrical techniques such as multivariate analysis based on the Mahalanobis (1936) statistics, quantification of divergence among the biological population and assessing the relative contribution of different components to the total divergence at intra and intercluster levels have now become possible.…”

Section: Introductionmentioning

confidence: 99%

GENETIC DIVERSITY IN RICE (Oryza sativa L.) LANDRACES OF HILLY AREAS IN BANGLADESH

Siddique

Islam

Khalequzzaman

et al. 2011

Bangla J Plant Breeding & Genetics

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Genetic diversity in 38 traditional local rice genotypes grown as Jhum in the hilly areas was studied under rainfed condition through Mahalanobis D 2 statistic for grain yield and yield contributing characters. The genotypes were grouped into five clusters. The inter-cluster distances were higher than intra-cluster distances indicating wider genetic diversity among the clusters. The intra-cluster distances were lower in all the cases reflecting homogeneity of the genotypes within the clusters. The cluster V contained the highest number of genotypes (12) and the cluster I and III contained the lowest (5). The highest intra-cluster distance was noticed for the cluster III and lowest for cluster I. The highest intercluster distance was observed between cluster I and III followed by cluster II and III, cluster III and IV and the lowest between cluster II and IV. Regarding inter-cluster distance, the genotypes of cluster III showed high genetic distance from all other clusters. The genotypes from cluster III could be hybridized with the genotypes of other clusters for producing transgressive segregants. Based on positive value of vector 1 and vector 2, flag leaf length, flag leaf width, days to 50% flowering, days to maturity, unfilled grain panicle -1 , grain length and grain length breath ratio had maximum contribution towards genetic divergence. The highest cluster means for plant height, filled grains panicle -1 and yield were obtained from cluster III. The highest flag leaf width, days to 50% flowering, unfilled grain panicle -1 , grain length, grain breath and grain length breath ratio while the lowest mean value for yield were found in cluster I. The lowest days to 50% flowering and maturity, and highest mean value for 1000-grain weight were found in cluster IV. Therefore, more emphasis should be given on cluster I and cluster III for selecting genotypes as parents for crossing with the genotypes of cluster IV which could produce new recombinants with desired traits.

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Section: Introductionmentioning

confidence: 99%

GENETIC DIVERSITY IN RICE (Oryza sativa L.) LANDRACES OF HILLY AREAS IN BANGLADESH

Siddique

Islam

Khalequzzaman

et al. 2011

Bangla J Plant Breeding & Genetics

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“…Tomooka (1991) reported that evaluation of genetic diversity is important to know the source of gene for a particular trait within the available germplasm. Genetic diversity is a powerful tool to determine the genetic discrimination among the genotypes which is used to select appropriate plant genotypes for hybridization to develop high yielding potential variety (Bhatt, 1970). Biometrical techniques such as multivariate analysis based on the Mahalanobis (1936) statistics is used to quantify divergence among the biological population and assess the relative contribution of different components to the total divergence at intra and inter-cluster levels.…”

Section: Introductionmentioning

confidence: 99%

Genetic Diversity of Boro Rice (Oryza sativa L.) Landraces in Bangladesh

Akter

Islam

Siddique

et al. 2016

Bangla J Plant Breeding & Genetics

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Genetic diversity of 45 traditional Bangladeshi boro rice genotypes was studied through Mahalanobis D 2 statistics and was grouped into six clusters. The inter-cluster distances were higher than intra-cluster distances indicating wider genetic diversity among the genotypes of different clusters. The intra-cluster distances were lower in all the cases reflecting homogeneity of the genotypes within the cluster. The cluster V contained the highest number of genotypes (14) and the cluster I and VI contained the lowest (4) number. The highest intra-cluster distance was noticed for the cluster VI and the lowest for cluster V. The highest intercluster distance was observed between cluster I and VI followed by cluster II and VI, cluster I and V and the lowest between cluster II and IV. The genotypes from cluster VI could be selected as parents for hybridization for producing transgressive segregants. The highest cluster means for yield, grains per panicle and grain length-breath ratio were obtained from cluster I; whereas higher yield, grain breath, 1000 grain weight, flag leaf area, shortest growth duration were obtained from cluster V. Therefore, more emphasis should be given on cluster I, cluster V and cluster VI for selecting genotypes as parents to produce new recombinants with desired traits.

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“…It can be seen from the clustering pattern shown in Figure 3 that the grouping of populations does not strictly represent the geographic origin, since very distant populations such as the grouping of the Tunisian population Nadour and the Moroccan population Morocco 008 were found to be associating with Italian populations. In other studies, it was also found that populations clustered in different groups irrespective of their countries of origin [2,4]. On the other hand, it has been determined that origin can be a simple means of partitioning variation in germplasm collections.…”

Section: Discussionmentioning

confidence: 93%

A quantitative study of some agronomic characters in Sulla (Hedysarum coronarium L.)

Namouchi¹,

Louati²,

Chriki³

2000

Agronomie

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-Eleven populations of Hedysarum coronarium L. collected from North Africa and Southern Italy were analyzed using both univariate and multivariate analyses on a data set for 25 quantitative traits. Broad sense heritabilities were estimated and ranged from 0.072 to 0.703. Seven principal components were found to explain 81.5% of the total variation. On the basis of these 7 principal components, populations were clustered at a similarity level estimated by euclidian distances. Three clusters were identified. Genetic divergence between these clusters was quantitatively measured by using Mahalanobis D 2 distances.cluster analysis / Hedysarum coronarium / heritability / morphological variability / multivariate analysis Résumé -Étude quantitative de quelques caractères agronomiques chez le Sulla (Hedysarum coronarium L.). Vingt cinq caractères morphologiques ont été mesurés chez 11 populations de Hedysarum coronarium collectées de l'Afrique du Nord et de l'Italie du Sud. Les données obtenues ont été soumises à une analyse univariée et une analyse multivariée. L'héritabilité au sens large a été estimée ; elle varie entre 0,072 et 0,703. L'ACP révèle que 7 composantes principales absorbent 81.5 % de la variance totale. L'application de la méthode de classification hiérarchique sur la matrice des distances euclidiennes a permis de répartir les populations en 3 groupes. L'utilisation de la distance de Mahalanobis D 2 a permis d'estimer la divergence génétique entre ces groupes.

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Multivariate analysis approach to selection of parents for hybridization aiming at yield improvement in self-pollinated crops

Cited by 87 publications

References 0 publications

GENETIC DIVERSITY IN RICE (Oryza sativa L.) LANDRACES OF HILLY AREAS IN BANGLADESH

GENETIC DIVERSITY IN RICE (Oryza sativa L.) LANDRACES OF HILLY AREAS IN BANGLADESH

Genetic Diversity of Boro Rice (Oryza sativa L.) Landraces in Bangladesh

A quantitative study of some agronomic characters in Sulla (Hedysarum coronarium L.)

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