Author

Abdul R Fiyaz

Indian Institute of Rice ResearchORCID 0000-0001-6261-7071Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Genetics· 1 Molecular Biology· 1 Plant Biology· 1

Signature Assays, Organisms & Methods

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Approach:statistical model· 2 Approach:experimental assay· 1 Research Focus:GWAS / association mapping· 1 Assay:GWAS summary statistics· 1 Organism:plant (other)· 1

Frequent Co-Authors

Raman Meenakshi SundaramiD· 2 shared Aashish RanjaniD· 1 shared Akshay Sureshrao SakhareiD· 1 shared Aravind Kumar JukantiiD· 1 shared Arremsetty S. HariprasadiD· 1 shared Bing Yang· 1 shared Bipin SinghiD· 1 shared Chirravuri Naga Neeraja· 1 shared

Activity by Year

2020-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 24 mutual co-author links

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2 shared papersPlant Biology

Raman Meenakshi SundaramORCID

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3 papers

Recent·Most cited

Plant BiologybioRxivPreprintOct 19, 2026

KAMALA: improved yield by finetuning cytokinin oxidase activity in rice

Lata I. Shukla, Faisal Yousuf, Raman Meenakshi Sundaram…·Satendra Kumar Mangrauthia

This study improves rice yield by editing the CKX2 gene in the Samba Mahsuri variety, resulting in a 19% grain yield increase and early flowering in field trials.

5 citations

experimental assay

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Molecular BiologybioRxivPreprintJul 10, 2023

Genome-Wide Association Study for Yield and Yield related traits reveals MarkerTrait Associations in Germplasm lines of Rice

Darmagaru Shivani, Abdul R Fiyaz, Farzana Jabeen…·Raman Meenakshi Sundaram

This study performs a genome-wide association study on rice germplasm lines to identify marker-trait associations linked to yield and yield-related traits.

1 citation

plant (other)GWAS summary statistics

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GeneticsbioRxivPreprintNov 9, 2020

Assessment of heterotic potential and combining ability of immortal restorer lines derived from an elite rice hybrid, KRH-2, for the development of superior rice hybrids

Swapnil Ravindra Kulkarni, Sena Munuswamy Balachandran, Abdul R Fiyaz…·Sundaram RM

1 citation

statistical model

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