Sunil Kumar Nair

ORCID: 0000-0003-1662-9439
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About
Contact & Profiles
Research Areas
  • Rice Cultivation and Yield Improvement
  • Genetics and Plant Breeding
  • GABA and Rice Research
  • Genetic Mapping and Diversity in Plants and Animals
  • Plant Genetic and Mutation Studies
  • Genetic and Environmental Crop Studies
  • Agricultural pest management studies
  • Powdery Mildew Fungal Diseases
  • Agronomic Practices and Intercropping Systems
  • Plant Disease Resistance and Genetics
  • Agricultural Economics and Practices
  • Agricultural Systems and Practices
  • Plant Pathogenic Bacteria Studies
  • Plant Physiology and Cultivation Studies
  • Flowering Plant Growth and Cultivation
  • Nonlinear Optical Materials Research
  • Antenna Design and Optimization
  • Plant Growth Enhancement Techniques
  • Berry genetics and cultivation research
  • Wheat and Barley Genetics and Pathology
  • Plant responses to water stress
  • Advances in Cucurbitaceae Research
  • Chromosomal and Genetic Variations
  • Antenna Design and Analysis
  • Caveolin-1 and cellular processes

Indira Gandhi Agricultural University
2018-2025

Mount Sinai Hospital
2019

Kerala Agricultural University
2006

A comprehensive understanding of crop responses to diverse environments is essential for designing efficient breeding programs. Currently, such insights are lacking large-seeded lentils under Indian climatic conditions. Given that, this study aimed assess the impacts conditions on phenological developments and yield lentils. This also determine genotype-by-environment interaction (GEI), identify mega-environments, ideal testing locations enhance efficiency national For this, sets lentil...

10.1016/j.heliyon.2025.e42184 article EN cc-by-nc-nd Heliyon 2025-01-23

Modern communication systems including 5G and beyond rely upon highly specific antenna system parameters, like high bandwidth or prescribed sectoral radiation patterns. Over the past many years, conventional antennas such as wire microstrip dipoles have been redesigned, primarily using empirical design software to develop evolved structures that can yield superior performance characteristics. The work reported in this paper will focus on development application of a purely analytical...

10.36227/techrxiv.173894907.75122931/v1 preprint EN public-domain 2025-02-07

Understanding crop performance across diverse agro-ecologies is crucial for developing region-specific breeding strategies. This multi-location study examined the impact of environments on eco-phenology and genotype-by-environment interactions (GEI) tall-type field pea lines. Empirical methods were employed to identify strategic locations that support higher yields unique genotypic traits. The results revealed significant variations locations, with coefficients variation key traits as...

10.1111/pce.15450 article EN Plant Cell & Environment 2025-03-04

Rice (Oryza sativa L.) is a staple crop critical for global food security. Enhancing grain yield requires an in-depth understanding of trait associations and their direct indirect effects. This study evaluates 46 advanced breeding lines including five check varieties rice to assess correlation path coefficient analysis key components. The biological (1.148) harvest index (1.08) were identified as the most influential traits with strong positive effects on at both phenotypic genotypic level...

10.9734/jabb/2025/v28i32105 article EN Journal of Advances in Biology & Biotechnology 2025-03-19

The present investigation was carried out in Kharif 2019 (July to November) estimate the relative contribution of various traits for total genetic variability aromatic landraces by Principal Component Analysis. Here 90 rice along with six check varieties were evaluated 13 quantitative characters Analysis showed that, studied, only five principal components (PCs) exhibited more than 1.00 eigen value and about 81.62% cumulative among studied. Out exhibiting PC1 had highest (25.12%) followed...

10.23910/1.2021.2348a article EN International Journal of Bio-resource and Stress Management 2021-08-31

Detection of molecular markers with parental polymorphism is a pre-requisite for QTL mapping and further identification genomic regions. PCR based InDel tend to have greater degree show among the genotypes any specific cross. Polymorphic studies were carried out between two parents Swarna (cultivated rice) Oryza rufipogon IC309814 (Wild using 192 randomly selected 40 gene Iron Zinc covering entire 12 chromosomes. Results revealed that polymorphic both highest percentage observed on...

10.9734/jabb/2024/v27i121783 article EN Journal of Advances in Biology & Biotechnology 2024-12-18

Genetic variability parameters were studied in 2879 germplasm accessions of rice for 11 quantitative traits. Moderate value genotypic coefficient variation (GCV) and phenotypic (PCV) was observed the traits, 100 seed weight, seedling height, L:B ratio, plant number effective tillers, whereas rest traits had low GCV PCV values. High heritability all except leaf length, width grain yield per plant. coupled with high genetic advance as percent mean height ratio. moderate recorded days to 50%...

10.9734/ijpss/2024/v36i34411 article EN International Journal of Plant & Soil Science 2024-02-07

during the year 2015 to study performance of seventeen African marigold genotypes in Randomized Block Design replicated three times.Considerable variability for most characters was indicated by analysis variance.Association among different estimated at genotypic (G) and phenotypic (P) levels 13 characters.Number flowers plant -1 exerted highly significant positive correlation with fresh flower weight (yield ), dry , yield hectare xanthophyll content level significantly association diameter...

10.23910/ijbsm/2018.9.3.3c0562 article EN International Journal of Bio-resource and Stress Management 2018-06-07

The present study was undertaken to the extent of genetic variability, character association and path analysis in 53 irrigated late duration breeding lines for 12 quantitative 10 quality parameters. Analysis variance revealed presence significant variation among all characters except total tillers per plant, effective spikelet fertility percentage grain yield plant. highest magnitude PCV GCV were displayed by plant followed harvest index, filled panicle 1000 seed weight. greater heritability...

10.9734/ijpss/2021/v33i2030638 article EN International Journal of Plant & Soil Science 2021-09-27

Rice is a major crop grown under all the conditions due to its adaptive nature. Present investigation of genetic diversity analysis was based on 46 selected unique germplasm (based their morphological and biochemical properties) from IGKV, Raipur 2 check varieties rice. Diversity conducted using ISSR, microsatellite markers 14 agro-morphological traits. The study revealed that average polymorphic information content (PIC) value with ISSR 0.85, which ranged 0.79 (UBC 808) 0.88 (UBC818). SSR...

10.5958/0976-1926.2014.00002.3 article EN Indian Journal of Plant Genetic Resources 2014-01-01

The present study focuses on the evaluation of quality parameters 198 rice genotypes including standard checks in augmented RCBD design. In ANOVA treatment ignoring blocks, heterogeneity among block was eliminated and for every new added mean sum square all traits were found to be significant at 1% level significance. Traits viz., milling recovery, iron content degree skewed, while rest normally distributed. Trait paddy grain length highest accession Dokra dori (12.44mm),Milling recovery...

10.9734/ijpss/2023/v35i163158 article EN International Journal of Plant & Soil Science 2023-06-26
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