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Vinod Kumar

Researcher at Indian Agricultural Research Institute

Publications -  72
Citations -  4334

Vinod Kumar is an academic researcher from Indian Agricultural Research Institute. The author has contributed to research in topics: Population & Quantitative trait locus. The author has an hindex of 25, co-authored 66 publications receiving 3214 citations. Previous affiliations of Vinod Kumar include Swami Keshwanand Rajasthan Agricultural University & Indian Council of Agricultural Research.

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Shifting the limits in wheat research and breeding using a fully annotated reference genome

Rudi Appels, +207 more
- 17 Aug 2018 - 
TL;DR: This annotated reference sequence of wheat is a resource that can now drive disruptive innovation in wheat improvement, as this community resource establishes the foundation for accelerating wheat research and application through improved understanding of wheat biology and genomics-assisted breeding.
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Genome-wide association mapping of salinity tolerance in rice (Oryza sativa)

TL;DR: The region harbouring Saltol, a major quantitative trait loci on chromosome 1 in rice, which is known to control salinity tolerance at seedling stage, was detected as a major association with Na+/K+ ratio measured at reproductive stage in this study.
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Deploying QTL-seq for rapid delineation of a potential candidate gene underlying major trait-associated QTL in chickpea

TL;DR: The proposed QTL-seq-driven integrated genome-wide strategy has potential to delineate major candidate gene(s) harbouring a robust trait regulatory QTL rapidly with optimal use of resources to extrapolate the molecular mechanism underlying complex quantitative traits at a genome- wide scale leading to fast-paced marker-assisted genetic improvement in diverse crop plants, including chickpea.
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Single-copy gene based 50 K SNP chip for genetic studies and molecular breeding in rice

TL;DR: The design and validation of a unique genic-SNP genotyping chip for genetic and evolutionary studies as well as molecular breeding applications in rice showed high success rate and reproducibility and its efficacy was validated for analysing background recovery in improved mega rice varieties with submergence tolerance developed through marker-assisted backcross breeding.
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Employing genome-wide SNP discovery and genotyping strategy to extrapolate the natural allelic diversity and domestication patterns in chickpea.

TL;DR: The utility of the identified SNPs for subsequent genome-wide association study (GWAS) and selective sweep-based domestication trait dissection analysis to identify potential genomic loci specifically regulating important complex quantitative agronomic traits in chickpea is reflected.