Phenotypic Characterization on Selected Kenyan and Tanzanian Rice (Oryza sativa L) Populations Based on Grain Morphological Traits
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Date
2015
Authors
Wambua, Kioko F.
Mawia, Musyoki A.
Ngugi, M.P.
Muriira, Karau G.
Wavinya, Nyamai D.
Chemutai, Lagat R.
Matheri, Felix
Makori, Arika W.
Njagi, Mwenda S.
Journal Title
Journal ISSN
Volume Title
Publisher
OMICS International
Abstract
Phenotypic characterization of rice varieties is a good approach for assessing genetic and phenotypic variability
among varieties and is key in grading of rice varieties. The objective of this study was to determine the major
determinants of phenotypic diversity and the strength of segregation among aromatic and non-aromatic rice (Oryza
sativa L) populations collected from Kenya and Tanzania. Multivariate analyses including principal component
analysis (PCA) and cluster analysis were carried out assess the overall patterns of morphological variation. Using
Principal component analysis, it was found that grain length, kernel length, grain weight and kernel length/breadth
ratio are major drivers of the huge phenotypic diversity observed. Cluster analysis was found to effectively distinguish
the majority of aromatic from non-aromatic varieties based on the grain quality traits evaluated where two distinct
clusters were formed. The results obtained from this study demonstrated that phenotypic trait measurement can be
relied upon in diversity studies among diverse and closely related genotypes. We conclude that this research which
forms first part of rice grading gives an insight in to the general patterns of phenotypic diversity and finds out the most
important distinguishing characters. This will be validated with subsequent molecular analysis.
Description
DOI:10.4172/2375-4338.1000155
Keywords
Rice, Phenotypic diversity, Cluster analysis