Fingerprinting and Assessing Relatedness of Selected Rice (Oryza Sativa) Genotypes in Kenya

Journal Title: IOSR Journal of Biotechnology and Biochemistry (IOSR-JBB - Year 2018, Vol 4, Issue 1

Abstract

Rice is becoming an important food and cash crop in East Africa and is second to maize in terms of consumption. Genetic markers are very useful in managing germplasm and are greatly applied in biotechnology as breeding machinery in gene mapping and fingerprinting. Eighteen Rice accessions including landraces grown by the farmers and commercially released cultivars were used to assess the genetic diversity . Leaves were taken from two weeks old plants and the DNA extracted according to Mace.et.al., 2003. PCR was done and DNA fragments visualized by illumination device with UV light. . SSR bands were scored as present (1) or absent (0) for each DNA sample, and used to compute the measures of genetic distance for all pairs of individuals. Analysis of Molecular Variance. Results indicated that the five polymorphic markers used in this study showed a total of 11 alleles across the loci of the 18 rice genotype’s studied. . The expected heterozygosity ranged from 0.191 in RM 261 to 0.5 in RM 22 with an average of 0.336. Genotypes TXD and B217 were identified by the 5markers

Authors and Affiliations

S. A. Henga, G. Muriira, J. M. Njiru, W. M. Thagana, M. W. Githendu

Keywords

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  • EP ID EP415018
  • DOI 10.9790/264X-04014851.
  • Views 154
  • Downloads 0

How To Cite

S. A. Henga, G. Muriira, J. M. Njiru, W. M. Thagana, M. W. Githendu (2018). Fingerprinting and Assessing Relatedness of Selected Rice (Oryza Sativa) Genotypes in Kenya. IOSR Journal of Biotechnology and Biochemistry (IOSR-JBB, 4(1), 48-51. https://www.europub.co.uk/articles/-A-415018