Development of a PCR-based SNP marker system for effective selection of kernel length and kernel elongation in rice

@article{Ramkumar2010DevelopmentOA,
  title={Development of a PCR-based SNP marker system for effective selection of kernel length and kernel elongation in rice},
  author={G. R. Ramkumar and Arivalagan Sivaranjani and Manish K Pandey and Kannabiran Sakthivel and N. Shobha Rani and I. Sudarshan and G. V. S. Siva Prasad and C N Neeraja and Raman M. Sundaram and B. C. Viraktamath and Maganti Sheshu Madhav},
  journal={Molecular Breeding},
  year={2010},
  volume={26},
  pages={735-740}
}
Kernel length in rice (Oryza sativa L.) is controlled by various quantitative trait loci of which GS3 is the most important, being responsible for 80–90% of the variation in kernel length. A mutation in the second exon of this gene has been reported to be associated with maximum variations in the kernel length. We have developed a simple PCR-based marker system named DRR-GL which targets the functional nucleotide polymorphism at GS3. This marker system has the advantages that it is easy to use… CONTINUE READING

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References

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Showing 1-10 of 35 references

A causal C–A mutation

C Appl Genet 1121164–1171 Fan, S Yu, C Wand, Y Xing
2009
View 4 Excerpts
Highly Influenced

Mapping quantitative trait loci for grain appearance traits of rice using a recombinant inbred line population

YZ Xing, YF Tan, CG Xu, JP Hua, XL Sun
2001
View 4 Excerpts
Highly Influenced

Genetic bases of appearance quality of rice grains in Shanyou 63, an elite rice hybrid

Theoretical and Applied Genetics • 2000
View 4 Excerpts
Highly Influenced

Genetic dissection of rice grain shape using a recombinant inbred line population derived from two contrasting parents and fine mapping a pleiotropic quantitative trait locus qGL 7

Collard BCY, CM VeraCruz, KL McNally, PS Virk, DJ Mackill
BMC Genet • 2010

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