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

Journal Title: Current Investigations in Agriculture and Current Research - Year 2018, Vol 3, Issue 4

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.A panel of 41 rice genotypes consisting of the released cultivars of O. sativa, landraces and nineteen accessions from AVT, AVIT and IVT series and two accessions RWR-19 and RWR-125 from wild species O. nivara were used for allele mining study for grain traits contributing to grain yield. The mean data for grain length, grain width and 1000 grain weight was taken for all the genotypes used for allele mining study. The 41 rice genotypes were categorized into three groups in order of their grain dimensions and 1000 grain weight. The genotypes consisted of 39.02 % large (2.49-3.62), 51.22 % medium (2.01-2.44) and 9.76 % small (1.85-1.97) for grain width in mm; 19.51 % large (9.18-10.31), 56.1 % medium (7.36-8.74) and 24.4 % small (5.48-6.82) for grain length in mm; 43.9 % high (23- 36), 34.15 % medium (19.5-22.8) and 21.95 % small (17-19.45) for 1000 grain weight in grams. F-test was conducted for analysis of variance in phenotypic traits between the genotypes

Authors and Affiliations

Bidanchi T, M Sangma, VK Khanna, W Tyagi

Keywords

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  • EP ID EP571292
  • DOI 10.32474/CIACR.2018.03.000169
  • Views 94
  • Downloads 0

How To Cite

Bidanchi T, M Sangma, VK Khanna, W Tyagi (2018). Allele Mining for the Reported Genes Governing the Yield Related Traits in a Set of Rice Germplasm Using PCR-Based Markers. Current Investigations in Agriculture and Current Research, 3(4), 410-423. https://europub.co.uk/articles/-A-571292