Hierarchical cluster analysis of genetic diversity in Maize germplasm

An experiment was conducted to analyze the genetic diversity among 38 maize germplasm accessions of the maizegermplasm bank of Department of Millets, TNAU, Coimbatore. Observations regarding 25 morphological traits wererecorded and the data matrix was used for estimation of Euclidian distance by Un-...

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Main Author: A. Subramanian and N. Subbaraman
Format: Article
Language:English
Published: Indian Society of Plant Breeders 2010-07-01
Series:Electronic Journal of Plant Breeding
Subjects:
Online Access:http://sites.google.com/site/ejpb10/vol-1-4-3/Vol-1-4-431-436.pdf?attredirects=0
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author A. Subramanian and N. Subbaraman
author_facet A. Subramanian and N. Subbaraman
author_sort A. Subramanian and N. Subbaraman
collection DOAJ
description An experiment was conducted to analyze the genetic diversity among 38 maize germplasm accessions of the maizegermplasm bank of Department of Millets, TNAU, Coimbatore. Observations regarding 25 morphological traits wererecorded and the data matrix was used for estimation of Euclidian distance by Un-weighted Paired Group ArithmeticAverage (UPGMA) method. Clustering was done by Sequential Agglomerative Hierarchical Non-overlapping (SAHN)clustering. The genotypes were grouped in to four clusters. The grouping of the genotypes was not influenced by theirgeographical origin. Maximum dissimilarity was observed between the genotypes UMI 551 and UMI 696. Widely divergentclusters and genotypes were identified which could be further evaluated for their breeding value as parents and could beexploited in maize crop improvement.
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spelling doaj.art-d673572d55a84a29a441f4e39805d7af2022-12-21T19:19:43ZengIndian Society of Plant BreedersElectronic Journal of Plant Breeding0975-928X2010-07-0114431436Hierarchical cluster analysis of genetic diversity in Maize germplasmA. Subramanian and N. SubbaramanAn experiment was conducted to analyze the genetic diversity among 38 maize germplasm accessions of the maizegermplasm bank of Department of Millets, TNAU, Coimbatore. Observations regarding 25 morphological traits wererecorded and the data matrix was used for estimation of Euclidian distance by Un-weighted Paired Group ArithmeticAverage (UPGMA) method. Clustering was done by Sequential Agglomerative Hierarchical Non-overlapping (SAHN)clustering. The genotypes were grouped in to four clusters. The grouping of the genotypes was not influenced by theirgeographical origin. Maximum dissimilarity was observed between the genotypes UMI 551 and UMI 696. Widely divergentclusters and genotypes were identified which could be further evaluated for their breeding value as parents and could beexploited in maize crop improvement.http://sites.google.com/site/ejpb10/vol-1-4-3/Vol-1-4-431-436.pdf?attredirects=0Maizegenetic diversityUPGMASHANClustering
spellingShingle A. Subramanian and N. Subbaraman
Hierarchical cluster analysis of genetic diversity in Maize germplasm
Electronic Journal of Plant Breeding
Maize
genetic diversity
UPGMA
SHAN
Clustering
title Hierarchical cluster analysis of genetic diversity in Maize germplasm
title_full Hierarchical cluster analysis of genetic diversity in Maize germplasm
title_fullStr Hierarchical cluster analysis of genetic diversity in Maize germplasm
title_full_unstemmed Hierarchical cluster analysis of genetic diversity in Maize germplasm
title_short Hierarchical cluster analysis of genetic diversity in Maize germplasm
title_sort hierarchical cluster analysis of genetic diversity in maize germplasm
topic Maize
genetic diversity
UPGMA
SHAN
Clustering
url http://sites.google.com/site/ejpb10/vol-1-4-3/Vol-1-4-431-436.pdf?attredirects=0
work_keys_str_mv AT asubramanianandnsubbaraman hierarchicalclusteranalysisofgeneticdiversityinmaizegermplasm