Cluster analysis technique for assessing variability in cowpea (Vigna unguiculata L. Walp) accessions from Nigeria

The genetic variability among 10 accessions of cowpea, Vigna unguiculata (L.) Walp was studied by the use of 13 qualitative and 13 quantitative traits. From the results on qualitative traits, dendrogram grouped the 10 accessions into two major clusters, 1 and 2.Cluster 1 had 3 accessions and cluster...

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Main Authors: Ajayi Abiola Toyin, Adesoye Adenubi I.
Format: Article
Language:English
Published: Institute of field and vegetable crops, Novi Sad 2013-01-01
Series:Ratarstvo i Povrtarstvo
Subjects:
Online Access:http://scindeks-clanci.ceon.rs/data/pdf/1821-3944/2013/1821-39441302001A.pdf
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spelling doaj-1c9b2c1326f648da8e2d88a93b6b8e602020-11-25T02:30:54ZengInstitute of field and vegetable crops, Novi SadRatarstvo i Povrtarstvo1821-39442217-83922013-01-015021710.5937/ratpov50-40691821-39441302001ACluster analysis technique for assessing variability in cowpea (Vigna unguiculata L. Walp) accessions from NigeriaAjayi Abiola Toyin0Adesoye Adenubi I.1Adekunle Ajasin University, PMB, Akungba-Akoko, Ondo State, NigeriaDepartment of Botany, University of Ibadan, Ibadan, NigeriaThe genetic variability among 10 accessions of cowpea, Vigna unguiculata (L.) Walp was studied by the use of 13 qualitative and 13 quantitative traits. From the results on qualitative traits, dendrogram grouped the 10 accessions into two major clusters, 1 and 2.Cluster 1 had 3 accessions and cluster 2 had 2 sub-clusters (I and II), having 2 accessions in sub-cluster I and 5 accessions in sub-cluster II. The dendrogram revealed two major clusters, 1 and 2, for quantitative data, for the 10 accessions. At distance of 4 and 6, cluster 1 had two sub-clusters (I and II), with sub-cluster I having 5 accessions, sub-cluster II having 4 accessions while cluster 2 had only 1 accession. This study made the observation that identification of the right agro-morphological traits of high discriminating capacity is essential, before embarking on any genetic diversity; as it was revealed that some traits discriminated more efficiently among the accessions than others. A group of accessions, which are NGSA1, NGSA2, NGSA3, NGSA4, NGSA7, NGSA9 and NGSA10, was identified as being different from the others for number of seeds per pod, pod length, plant height, peduncle length, seed weight and number of pods per plant. These accessions may be good for cowpea improvement programs.http://scindeks-clanci.ceon.rs/data/pdf/1821-3944/2013/1821-39441302001A.pdfcluster analysisclusterscowpeasdendrogramtraitsvariabilityVigna
collection DOAJ
language English
format Article
sources DOAJ
author Ajayi Abiola Toyin
Adesoye Adenubi I.
spellingShingle Ajayi Abiola Toyin
Adesoye Adenubi I.
Cluster analysis technique for assessing variability in cowpea (Vigna unguiculata L. Walp) accessions from Nigeria
Ratarstvo i Povrtarstvo
cluster analysis
clusters
cowpeas
dendrogram
traits
variability
Vigna
author_facet Ajayi Abiola Toyin
Adesoye Adenubi I.
author_sort Ajayi Abiola Toyin
title Cluster analysis technique for assessing variability in cowpea (Vigna unguiculata L. Walp) accessions from Nigeria
title_short Cluster analysis technique for assessing variability in cowpea (Vigna unguiculata L. Walp) accessions from Nigeria
title_full Cluster analysis technique for assessing variability in cowpea (Vigna unguiculata L. Walp) accessions from Nigeria
title_fullStr Cluster analysis technique for assessing variability in cowpea (Vigna unguiculata L. Walp) accessions from Nigeria
title_full_unstemmed Cluster analysis technique for assessing variability in cowpea (Vigna unguiculata L. Walp) accessions from Nigeria
title_sort cluster analysis technique for assessing variability in cowpea (vigna unguiculata l. walp) accessions from nigeria
publisher Institute of field and vegetable crops, Novi Sad
series Ratarstvo i Povrtarstvo
issn 1821-3944
2217-8392
publishDate 2013-01-01
description The genetic variability among 10 accessions of cowpea, Vigna unguiculata (L.) Walp was studied by the use of 13 qualitative and 13 quantitative traits. From the results on qualitative traits, dendrogram grouped the 10 accessions into two major clusters, 1 and 2.Cluster 1 had 3 accessions and cluster 2 had 2 sub-clusters (I and II), having 2 accessions in sub-cluster I and 5 accessions in sub-cluster II. The dendrogram revealed two major clusters, 1 and 2, for quantitative data, for the 10 accessions. At distance of 4 and 6, cluster 1 had two sub-clusters (I and II), with sub-cluster I having 5 accessions, sub-cluster II having 4 accessions while cluster 2 had only 1 accession. This study made the observation that identification of the right agro-morphological traits of high discriminating capacity is essential, before embarking on any genetic diversity; as it was revealed that some traits discriminated more efficiently among the accessions than others. A group of accessions, which are NGSA1, NGSA2, NGSA3, NGSA4, NGSA7, NGSA9 and NGSA10, was identified as being different from the others for number of seeds per pod, pod length, plant height, peduncle length, seed weight and number of pods per plant. These accessions may be good for cowpea improvement programs.
topic cluster analysis
clusters
cowpeas
dendrogram
traits
variability
Vigna
url http://scindeks-clanci.ceon.rs/data/pdf/1821-3944/2013/1821-39441302001A.pdf
work_keys_str_mv AT ajayiabiolatoyin clusteranalysistechniqueforassessingvariabilityincowpeavignaunguiculatalwalpaccessionsfromnigeria
AT adesoyeadenubii clusteranalysistechniqueforassessingvariabilityincowpeavignaunguiculatalwalpaccessionsfromnigeria
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