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     Asian Journal of Agricultural Sciences

    Abstract
2011(Vol.3, Issue:2)
Article Information:

Phenotypic Variability and Diversity Analysis of Bean Traits of Some Cocoa Hybrids in Nigeria

A.V. Oyedokun, A.A. Omoloye, B.D. Adewale, O.O. Adeigbe, O.O. Adenuga and P.O. Aikpokpodion
Corresponding Author:  Adewale B. Daniel 
Submitted: 2010 December, 16
Accepted: 2011 January, 20
Published: 2011 March, 15
Abstract:
It is essential to understand the economic potential and superiority among cocoa hybrids. Therefore, the present study aims at detecting variability among cocoa hybrids for bean index in Nigeria. Dried bean of fourteen genotypes of cocoa were evaluated for their bean values. Analysis of variance (ANOVA) was used to understand the variability among the fourteen genotypes and Principal Component Analysis (PCA) was employed to identify distinguishing traits and the grouping of the genotypes based on similarities. The fourteen cocoa genotypes were significantly (p≤0.05) different from each other with respect to weight of one bean, bean length, width, thickness, 100 bean weight, bean length to width, length to thickness and width to thickness ratio. All the studied morphometric characters exhibited high (>70%) broad sense heritability. G8, the hybrid between T53/5 and N38 was the most superior genotype for bean weight and some other bean characteristics. The mass of seventy-four dried cocoa bean of G8 approximated 100 g. The first three Principal Component axes explained 91% of the total variation and the PCA grouped the fourteen genotypes into four distinct clusters. Genotypes could be selected for specific traits and improvement of traits seemed to be genetically reliable.

Key words:  Bean value, diversity, heritability, hybrids, seed index, ,
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Cite this Reference:
A.V. Oyedokun, A.A. Omoloye, B.D. Adewale, O.O. Adeigbe, O.O. Adenuga and P.O. Aikpokpodion, . Phenotypic Variability and Diversity Analysis of Bean Traits of Some Cocoa Hybrids in Nigeria. Asian Journal of Agricultural Sciences, (2): 127-131.
ISSN (Online):  2041-3890
ISSN (Print):   2041-3882
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