Author

Arvind Kumar

International Rice Research InstituteORCID 0000-0002-5488-9410Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Genetics· 2 Genomics· 1

Signature Assays, Organisms & Methods

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Approach:statistical model· 3 Assay:bulk RNA-seq· 2 Research Focus:gene regulatory network inference· 2 Organism:plant (other)· 2 Approach:benchmark study· 1 Research Focus:benchmarking· 1 Research Focus:genome assembly· 1 Research Focus:GWAS / association mapping· 1

Frequent Co-Authors

Nitika SandhuiD· 2 shared Ade Pooja Ankush· 1 shared ADITI BHANDARIiD· 1 shared Ai KitazumiiD· 1 shared Aman KumariD· 1 shared Benildo G. de los ReyesiD· 1 shared Gaurav Augustine· 1 shared Gomsie Pruthi· 1 shared

Activity by Year

2019-2023 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 21 mutual co-author links

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2 shared papersGenomics

Nitika SandhuORCID

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3 papers

Recent·Most cited

Harnessing genetic variations improving seedling vigor for successful crop establishment in deep sown direct-seeded rice

Nitika Sandhu, Ade Pooja Ankush, Jasneet Singh, Om Prakash Raigar, Sutej Bains, Taveena Jindal, Mohini Prabha Singh, Mehak Sethi, Gomsie Pruthi, Gaurav Augustine, Vikas Kumar Verma, Shivani Goyal, Aman Kumar, Harsh Panwar, Manvesh Kumar Sihag, , Arvind Kumar

The paper identifies genetic variations associated with mesocotyl elongation in deep sown direct-seeded rice and validates candidate genes involved in this trait.

bioRxiv · Mar 28, 2023 · PreprintGenomics

Yield Maintenance Under Drought is Orchestrated by the qDTY12.1-Encoded DECUSSATE Gene of Rice Through a Network With Other Flowering-Associated Genes Across the Genetic Background

Jacobo Sanchez, Pushpinder Pal Kaur, Isaiah Catalino M. Pabuayon, Naga Bhushana Rao Karampudi, Ai Kitazumi, Nitika Sandhu, Margaret Catolos, Arvind Kumar, Benildo G. de los Reyes

The paper identifies a genetic network involving the DECUSSATE gene that enhances yield retention under drought in rice by coordinating flowering-related processes across different genetic backgrounds.

bioRxiv · Feb 9, 2021 · PreprintGenetics

Selection of trait-specific markers and multi-environment models improve genomic predictive ability in rice

ADITI BHANDARI, Jérôme Bartholomé, Tuong-Vi Cao-Hamadoun, Nilima Kumari, Julien Frouin, Arvind Kumar, Nourollah Ahmadi

This study improves genomic prediction for drought tolerance in rice by using trait-specific markers and multi-environment models, achieving higher predictive ability than traditional methods.

PLoS ONE · May 6, 2019Peer-reviewedGenetics