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ISSN: 2637-4676

Current Investigations in Agriculture and Current Research

Research Article(ISSN: 2637-4676)

Allele Mining for the Reported Genes Governing the Yield Related Traits in a Set of Rice Germplasm Using PCR-Based Markers

Volume 3- Issue 4

Bidanchi T, M Sangma, VK Khanna*and W Tyagi

  • Author Information Open or Close
    • School of Crop Improvement, Central Agricultural University, India

    *Corresponding author: VK Khanna, School of Crop Improvement, Central Agricultural University, Barapani, Umiam-793103, Meghalaya, India

Received: June 22, 2018;   Published: July 13, 2018

DOI: 10.32474/CIACR.2018.03.000169

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Abstract

The present study was an initial attempt towards enhancing grain yield in rice through molecular breeding approach by allele mining. Forty one diverse rice genotypes were used for allele mining study with an objective to detect among them superior alleles for rice grain dimensions viz. grain length, grain width, grain thickness, grain size and grain weight. SSR markers associated with reported genes for these traits were used for PCR amplification. It was found that SSR primer RDD 1-2 can be used for identifying alleles enhancing grain length from diverse genomic sources for crop improvement. The allele A (600 bp) from Rdd 1 can be used in breeding programmes to enhance grain length in rice. The genotypes viz. Hans raj, Pant dhan-18, Pant dhan-10, Narendra, Pant dhan-12, Pant dhan-4, ARR-09, Shahsarang, IVT-ASG-2712, IVT-ASG-2701, AVT-I-ASG-2602, AVT-I-ASG-2609 and IVT-ASG-2705 identified carrying this allele can be used as a source for large grain length in future. The primers RM 478 for grain thickness and RM 574-2 for grain width can be used in marker assisted breeding programmes. Allele A (205 bp) of RM 478 and allele B (240 bp) of RM 574-2 associated with low grain weight and grain width, respectively can be used for rejection at seedling stage in marker assisted breeding programme. This study also identified novel alleles (alleles distinct from those reported in biparental programme) which could be significant in a larger panel of rice genotypes.

Keywords: Allele mining; rice;Oryza sativa; O. nivara; SSR primers

Abstract| Introduction| Materials and Methods| Molecular Characterization| Isolation of Genomic Dna from Plant Tissue| Results and Discussion| Discussion| Conclusion| References|