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Swarup K. Parida

Researcher at Indian Agricultural Research Institute

Publications -  126
Citations -  4648

Swarup K. Parida is an academic researcher from Indian Agricultural Research Institute. The author has contributed to research in topics: Quantitative trait locus & Population. The author has an hindex of 37, co-authored 104 publications receiving 3761 citations. Previous affiliations of Swarup K. Parida include Jawaharlal Nehru University & University of Delhi.

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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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Informative genomic microsatellite markers for efficient genotyping applications in sugarcane

TL;DR: Cloning and sequencing of size variant amplicons revealed that the variation in the number of repeat-units was the main source of SEGMS fragment length polymorphism, suggesting their usefulness in various genotyping applications in sugarcane.
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Genome-wide development and use of microsatellite markers for large-scale genotyping applications in foxtail millet [Setaria italica (L.)].

TL;DR: The results demonstrate the immense applicability of developed microsatellite markers in germplasm characterization, phylogenetics, construction of genetic linkage map for gene/quantitative trait loci discovery, comparative mapping in foxtail millet, including other millets and bioenergy grass species.
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Comprehensive genome-wide survey, genomic constitution and expression profiling of the NAC transcription factor family in foxtail millet (Setaria italica L.).

TL;DR: This genome-wide identification and expression profiling unlocks new avenues for systematic functional analysis of novel NAC gene family candidates which may be applied for improvising stress adaption in plants.
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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.