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African Crop Science Journal
African Crop Science Society
ISSN: 1021-9730 EISSN: 1021-9730
Vol. 5, No. 2, 1997, pp. 127-133
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Bioline Code: cs97019
Full paper language: English
Document type: Research Article
Document available free of charge
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African Crop Science Journal, Vol. 5, No. 2, 1997, pp. 127-133
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Multivariate analysis of genetic diversity in kenaf, Hibiscus cannabinus (L.)
Ogunbodede, B.A.
Abstract
Fifty-four (54) accessions of kenaf of diverse eco-geographical origins
were evaluated in an 8 x 8 lattice design in three environments in
south-western Nigeria. Two multivariate techniques - the coefficient of
racial likeness (CRL) and principal component analysis (PCA) were used to
assess the extent of genetic divergence among the accessions. The CRL
distances for the 1431 possible pairs of accessions were each less than
2.0. This does not necessarily suggest lack of genetic diversity among the
accessions. The first three principal axess accounted for 67.17% of the
total variation among the accessions. From a two-dimensional ordination of
the first two principal axes, six clusters can be identified. Clustering
was closely related to average CRL values and there was no relationship
between clustering and eco-geographical distributions. The analysis of CRL
values showed that butt-diameter and fiber yield each accounted for 13.0%
of the variation detected in the accessions. Plant height and retting
percentage each contributed 11.3% while core weight, number of leaves per
plant, core percentage and fresh plant weight contributed 12.5, 10.3, 10.2
and 10.0%, respectively. The implications of these findings in kenaf
improvement programmes are discussed.
Keywords
Coefficient of racial likeness, genetic diversity, principal component analysis
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fr |
Ogunbodede, B.A.
Résumé
Cinquante-quatre (54) echantillons de kenaf provenant de differents milieux
geographiques ont ete evalues dans un quadrat de 8 x 8 placettes dans trois
environnements du sud-ouest du Nigeria. Deux techniques multivariees - le
coefficient de similitude raciale (CRL) et l'analyse de la composante
principale (PCA) ont ete utilisees pour evaluer l'importance de la
divergence entre les echantillons. Les distances CRL de 1431 paires
d'echantillons possibles se sont sevelees toutes inferieures a 2.0. Cela
ne signifie pas necessairement un manque de diversite genetique entre les
echantillons. Les premiers trois principaux axes representaient 67.17% de
la variation totale entre les echantillons. A partir d'une ordination a
deux dimensions de deux premiers principaux axes, on peut identifier six
groupes. Le groupage etait etroitement lie aux valeurs moyennes CRL. Il
n'y avait donc pas de lien entre le groupage et les distributions
eco-geographiques. L'analyse des valeurs CRL a montre que le diametre des
souches et la production totale de fibre representaient 13.0% de la
variation detectee parmi les echantillons. La hauteur de la plante et le
pourcentage total de l'evaluation ont contribue chacun pour 11.3%. Par
contre, le poids de la partie centrale, le nombre de feuilles par plante,
le pourcentage de la partie centrale et la poids frais de la plante ont
contribue pour 12.5, 10.3, 10.2 et 10.0% respectivement. Les implications
de ces resultats dans les programmes d'amelioration du kenaf sont
discutes.
Mots Clés
Coefficient de similitude raciale, divernsite genetique, analyse de la composante principale
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© Copyright 1997 - African Crop Science Society
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