Sanjay Kumar Chetia

Dr. Sanjay Kumar Chetia


Research Focus & Metrics

Academic Career Length

4Years (2023-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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14 June 2023 in Molecular Biology Reports
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Journal Article
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RKRahul CHANDRAKANT Kaldate
Rahul CHANDRAKANT Kaldate
RVRahul Kumar Verma
Rahul Kumar Verma
SCSanjay Kumar Chetia
Sanjay Kumar Chetia
PDPradip Chandra Dey
Pradip Chandra Dey
MMMayuri D. Mahalle
Mayuri D. Mahalle
MMMahendra K Modi
Mahendra K Modi

26 October 2024 in Physiology and Molecular Biology of Plants
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Journal Article
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PBParinda Barua
Parinda Barua
MPMunmi Phukon
Munmi Phukon
SMSunita Munda
Sunita Munda
VRVipin Ranga
Vipin Ranga
RSR. Sruthi
R. Sruthi
SCSanjay Kumar Chetia
Sanjay Kumar Chetia

10 July 2026 in Cereal Research Communications
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Journal Article
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ATAmrit Tamuly
Amrit Tamuly
SMSunita Munda
Sunita Munda
RVRahul K. Verma
Rahul K. Verma
JBJyoti Lekha Borah
Jyoti Lekha Borah
JDJoli Dutta
Joli Dutta
SCSanjay Kumar Chetia
Sanjay Kumar Chetia

1 October 2026 in Indian Journal Of Genetics and Plant Breeding
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Journal Article
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SMSunita Munda
Sunita Munda
RKRahul Chandrakant Kaldate
Rahul Chandrakant Kaldate
PSPriyabrata Sen
Priyabrata Sen
SCSanjay Kumar Chetia
Sanjay Kumar Chetia
JBJyoti Lekha Borah
Jyoti Lekha Borah

11 July 2026 in Discover Food
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Journal Article
Open access
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MPMunmi Phukon
Munmi Phukon
ASAvinash Singode
Avinash Singode
RSRamendra Nath Sarma
Ramendra Nath Sarma
SCSanjay Kumar Chetia
Sanjay Kumar Chetia
MDMrigankar Das
Mrigankar Das
JBJyoti Lekha Borah
Jyoti Lekha Borah
Multi-parent Advanced Generation Inter-Cross (MAGIC) populations offer high recombination and genetic diversity, providing opportunities for dissecting complex agronomic traits. In this study, 230 MAGIC rice recombinant inbred lines derived from eight indica founders were evaluated at the Assam Rice Research Institute, AAU, Titabor, to assess variation in five key traits: grain weight, grain number per plant, grain length, grain breadth, and 100-grain weight. Analysis of variance (ANOVA) revealed significant genotypic variation (p < 0.001) for grain yield per plant and grain number per plant, while grain size traits showed limited differentiation among genotypes. These traits exhibited high genotypic and phenotypic coefficients of variation (> 50%) and high broad-sense heritability (> 89%), indicating a substantial genetic contribution to phenotypic variation under the experimental conditions. Grain yield per plant showed a strong positive correlation with grain number per plant (r = 0.97), identifying grain number as the primary determinant of yield. Multivariate analyses, including principal component analysis and hierarchical clustering, revealed structured phenotypic variation within the population. A Composite Trait Index (CTI) facilitated the identification of superior lines, with Plots 18, 70, and 85 emerging as promising genotypes. Collectively, these findings demonstrate the phenotypic diversity and breeding potential of the MAGIC population for improving rice yield under rainfed lowland conditions of Northeast India.