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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Institute of field and vegetable crops, Novi Sad
2013-01-01
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Online Access: | http://scindeks-clanci.ceon.rs/data/pdf/1821-3944/2013/1821-39441302001A.pdf |
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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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