alexa Genetic Diversity Studies on Selected Rice (Oryza Sativa L.) Genotypes Based on Amylose Content and Gelatinization Temperature
ISSN: 2329-8863

Advances in Crop Science and Technology
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Research Article

Genetic Diversity Studies on Selected Rice (Oryza Sativa L.) Genotypes Based on Amylose Content and Gelatinization Temperature

Mawia A. Musyoki1*, Wambua F. Kioko1, Ngugi P. Mathew1, Karau G. Muriira2, Nyamai D. Wavinya1, Matheri Felix1, Langat R. Chemtai1, Njagi S. Mwenda1, Mworia J. Kiambi1 and Ngari L. Ngithi1
1Department of Biochemistry and Biotechnology, School of Pure and Applied Sciences, Kenyatta University, P.O. Box 43844-00100, Nairobi, Kenya
2Molecular Laboratory, Kenya Bureau of Standards, Kenya
Corresponding Author : Mawia A. Musyoki
Department of Biochemistry and Biotechnology
School of Pure and Applied Sciences
Kenyatta University, P.O. Box 43844-00100
Nairobi, Kenya
E-mail: [email protected]
Received: September 19, 2015; Accepted: October 01, 2015; Published: October 07, 2015
Citation: Musyoki MA, Kioko WF, Mathew NP, Muriira KG, Wavinya ND, et al. (2015) Genetic Diversity Studies on Selected Rice (Oryza Sativa L.) Genotypes Based on Amylose Content and Gelatinization Temperature. Adv Crop Sci Tech 3:193. doi:10.4172/2329-8863.1000193
Copyright: © 2015 Musyoki MA, et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
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Abstract

Improving cooking and eating quality of rice is one of the important objectives of many breeding programs. The aim of the study was to carry out genetic diversity studies on selected rice (Oryza sativa L.) genotypes from Kenya and Tanzania based on amylose content and gelatinization temperature using microsatellite markers. Power marker version 3.25 and GenALEx version 6.5 softwares were used to analyze the data. The number of alleles per locus ranged from 2 to 4 alleles with an average of 2.75 alleles across 8 loci obtained in this study. The polymorphic information content (PIC) values ranged from 0.2920 (RM 202) to 0.6841 (RM 141) in all 8 loci with an average of 0.4697. Pair-wise genetic dissimilarity coefficients ranged from 0.9003 to 0.2201 with an average of 0.5627. Maximum genetic similarity was observed between R 2793 and BS 17, Supa and IR 64, R 2793 and ITA 310, Saro 5 and ITA 310, Saro 5 and R 2794. Minimum similarity of was observed between Wahiwahi and BW 196, IR 64 and BW 196. The dendogram based on cluster analysis by microsatellite polymorphism grouped the rice genotypes into 2 clusters effectively differentiating Kenyan and Tanzanian rice genotypes based on amylose content and gelatinization temperature. The results obtained suggested that use of microsatellite markers linked to Quantitative Trait Loci (QTLs) controlling these two traits could effectively be utilized for diversity analysis among diverse rice genotypes.

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