International Journal of Chemical Studies
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P-ISSN: 2349-8528, E-ISSN: 2321-4902   |   Impact Factor: GIF: 0.565

Vol. 5, Issue 4 (2017)

Genetic potency identification of indigenous rice (Oryza sativa L.) lines using quality assessment and SSR marker analysis


Author(s): Lokesh Gour, GK Koutu, SK Singh and DK Mishra

Abstract: To understand the genetic wealth of rice, a total of 83 indigenous rice germplasm were collected from rice core collection of Madhya Pradesh and screened for different yield and quality traits. Less difference between GCV and PCV was observed for the characters viz., grain length, decorticated grain length and amylose content. On the basis of trait differences in the materials for quality aspect, 19 rice lines were selected for molecular analysis. A total of 12 SSR markers were applied from which only nine markers were found polymorphic. The polymorphic markers RM276, RM256, RM259, RM234, RM142, RM7, RM201, RM42, and BADEX 7-5 were associated with amylose content, panicle length per plant, grain length, grain protein, grain elongation ratio, 1000 grain weight, drought tolerance, amylose and aroma content respectively. The average percentage of major allele frequency ranged between 42.11 % (RM256) to 100.00% (RM341). Based on dendrogram generated by neighbor-joining method implemented in Power Maker version 3.25 genotypes Karnal Basmati and Tarrori Basmati were highly diverse with other experimental genotypes. Marker RM234 amplified 2 unique alleles (190 bp) in Tarrori basmati and Karnal basmati. The unique alleles found in Tarrori basmati and Karnal basmati which were highly diverse genotypes would help to search new alleles for the concern traits and might be utilized in DNA finger printing of rice genotypes.

Pages: 97-101  |  1574 Views  63 Downloads

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International Journal of Chemical Studies International Journal of Chemical Studies
How to cite this article:
Lokesh Gour, GK Koutu, SK Singh, DK Mishra. Genetic potency identification of indigenous rice (Oryza sativa L.) lines using quality assessment and SSR marker analysis. Int J Chem Stud 2017;5(4):97-101.
 

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