Bhaben Tanti | Crop Plants | Best Faculty Award

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Prof Bhaben Tanti | Crop Plants |  Best Faculty Award

Professor at Gauhati University, India

Dr. Bhaben Tanti is a distinguished academic and researcher specializing in Climate Change, Conservation of RET Plants, and Molecular Biology. With over two decades of teaching and research experience, he has significantly contributed to plant science, particularly stress physiology in crop plants.

 

Publication Profile

🎓 Education:

  • DBT Overseas Associate (Post-Doc), Biochemistry and Molecular Biology, Oklahoma State University, USA (2013-2014)
  • Ph.D. in Molecular Biology and Biotechnology, Tezpur University, India (2007)
  • M.Sc. in Botany (Cytogenetics & Plant Breeding), Gauhati University, India (1997, 1st class 1st)
  • B.Sc. in Botany, Dibrugarh University, India (1994, 1st class 1st)

👨‍🏫 Work Experience:

  • Professor, Department of Botany, Gauhati University (2016–Present)
  • Head, Department of Botany (2021–Present)
  • Director, Research and Development Cell (2022–Present)
  • Past roles: Associate Professor, Assistant Professor, Junior Research Fellow

🏆 Awards & Recognition:

  • DBT Overseas Associateship for Postdoctoral Research, Govt. of India (2013-2014)
  • Gold Medalist, Gauhati University (1997)
  • Travel Award for International Workshop on Engineered Crops, Iowa State University, USA (2014)
  • Subject Editor, Vegetos (Springer)

🌿 Research Focus:

  • Climate Change and Conservation of Rare, Endangered, and Threatened (RET) Plants
  • Stress Physiology of Crop Plants
  • Molecular Biology

📜 Professional Affiliations:

  • Fellow, The Linnaean Society of London
  • Member, American Society of Microbiology
  • Life Member of Society for Plant Research, Assam Science Society, and NE Biotechnology Association

Citation Metrics:

Total Citations: 1,919 | Citations Since 2019: 1,615
h-index: 24 | h-index Since 2019: 20
i10-index: 60 | i10-index Since 2019: 51

Publication Top Note:

  • Arsenic stress responses and tolerance in rice: physiological, cellular and molecular approaches
    J Kalita, AK Pradhan, ZM Shandilya, B Tanti
    Rice Science (Elsevier) 25 (5), 235-249, 106 citations, 2018
  • Antioxidant protection mechanisms reveal significant response in drought-induced oxidative stress in some traditional rice of Assam, India
    S Nahar, LR Vemireddy, L Sahoo, B Tanti
    Rice Science (Elsevier) 25 (4), 185-196, 88 citations, 2018
  • Wild edible fungal resources used by ethnic tribes of Nagaland, India
    B Tanti, L Gurung, GC Sarma
    Indian Journal of Traditional Knowledge 10 (3), 512-515, 81 citations, 2011
  • Identification of phytocompounds from Houttuynia cordata Thunb. as potential inhibitors for SARS-CoV-2 replication proteins through GC–MS/LC–MS characterization, molecular docking, and in silico analysis
    SK Das, S Mahanta, B Tanti, H Tag, PK Hui
    Molecular Diversity (Springer), 1-24, 73 citations, 2021
  • Morphophysiological and molecular effects of drought stress in rice
    S Nahar, J Kalita, L Sahoo, B Tanti
    Annals of Plant Sciences 5 (9), 1409-1416, 70 citations, 2016
  • Identification of potential plant-based inhibitor against viral proteases of SARS-CoV-2 through molecular docking, MM-PBSA binding energy calculations and molecular dynamics simulation
    B Gogoi, P Chowdhury, N Goswami, N Gogoi, T Naiya, P Chetia, B Tanti
    Molecular Diversity (Springer), 1-15, 67 citations, 2021
  • Musa balbisiana Colla- taxonomy, traditional knowledge and economic potentialities of the plant in Assam, India
    K Borborah, SK Borthakur, B Tanti
    Indian Journal of Traditional Knowledge 15 (1), 116-120, 63 citations, 2016
  • Ethnobotany of starter cultures used in alcohol fermentation by a few ethnic tribes of Northeast India
    B Tanti, L Gurung, HK Sarma, AK Buragohain
    Indian Journal of Traditional Knowledge 9 (3), 463-466, 58 citations, 2010
  • RNAi-derived transgenic resistance to Mungbean yellow mosaic India virus in cowpea
    S Kumar, B Tanti, BL Patil, SK Mukherjee, L Sahoo
    PloS One, 12 (10), https://doi.org/10.1007/s42535-019-00076, 57 citations, 2017
  • Screening of drought tolerant rice through morpho-physiological and biochemical approaches
    S Nahar, L Sahoo, B Tanti
    Biocatalysis and Agricultural Biotechnology (Elsevier) 15, 150-159, 51 citations, 2018

 

 

Moyses Nascimento | Plant breeding | Best Researcher Award

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Prof Moyses Nascimento |  Plant breeding |  Best Researcher Award

Associate Professor at  Federal University of Vicosa, Brazil

Prof. Moysés Nascimento is an Associate Professor in the Department of Statistics at the Federal University of Viçosa, Brazil. He holds a Ph.D. in Statistics and Agricultural Experimentation from the Federal University of Lavras (UFLA), Brazil. His research interests focus on statistical methods applied to agriculture, bioinformatics, and genomic selection, with significant expertise in cluster analysis and Monte Carlo Markov Chains.

 

Publication Profile

Academic Background:

  • Ph.D. in Statistics and Agricultural Experimentation (2011), Federal University of Lavras (UFLA), Brazil
  • M.S. in Applied Statistics and Biometry (2009), Federal University of Viçosa (UFV), Brazil
  • B.S. in Statistics (2007), Federal University of Espírito Santo (UFES), Brazil

Professional Experience:

  • Associate Professor, Federal University of Viçosa (UFV), Brazil (2010–present)
  • Visiting Scholar, University of Florida, USA (2023–2024)
  • Research Scholar, North Carolina State University, USA (2016–2017)
  • Graduate Research Assistant, Federal University of Lavras and Federal University of Viçosa

Research Interests:

  • Statistical methods applied to agriculture and genomics
  • Cluster analysis, bioinformatics, and Monte Carlo Markov Chains in genetic improvement
  • Neural networks and multivariate analysis applied to agronomy

Awards & Honors:

  • 1st, 2nd, and 3rd place in the 2023 GDM 40th Anniversary Innovation Award
  • Emerald Literati Award (2019) for the paper on craft beer consumer market characterization
  • Best Paper Award, International Symposium on Genetics and Plant Breeding (2021)
  • Best Master’s Paper, Brazilian Region of the International Biometrics Society (2008)

Citations :

  • Citations (All): 2,229
  • Citations (Since 2019): 1,643
  • h-index (All): 26
  • h-index (Since 2019): 21
  • i10-index (All): 68
  • i10-index (Since 2019): 58

Publication Top Notes

  1. Characterization of the consumer market and motivations for the consumption of craft beer
    NB Carvalho, LA Minim, M Nascimento, GHC Ferreira, VPR Minim
    British Food Journal, 120(2), 378-391 (2018)
  2. Avaliação do coeficiente de variação experimental para caracteres de frutos de pimenteiras
    AR Silva, PR Cecon, ER Rêgo, M Nascimento
    Revista Ceres, 58, 168-171 (2011)
  3. Artificial neural networks for adaptability and stability evaluation in alfalfa genotypes
    M Nascimento, LA Peternelli, CD Cruz, ACC Nascimento, RP Ferreira, …
    Crop Breeding and Applied Biotechnology, 13, 152-156 (2013)
  4. Alteração no método centroide de avaliação da adaptabilidade genotípica
    M Nascimento, CD Cruz, ACM Campana, RS Tomaz, CC Salgado, …
    Pesquisa Agropecuária Brasileira, 44, 263-269 (2009)
  5. Neural networks for predicting breeding values and genetic gains
    GN Silva, RS Tomaz, IC Sant’Anna, M Nascimento, LL Bhering, CD Cruz
    Scientia Agricola, 71, 494-498 (2014)
  6. Multi-trait multi-environment models in the genetic selection of segregating soybean progeny
    L Volpato, RS Alves, PE Teodoro, MD Vilela de Resende, M Nascimento, …
    PloS One, 14(4), e0215315 (2019)
  7. Technical efficiency of milk production in Minas Gerais: an application of quantile regression
    ACC Nascimento, JE Lima, MJ Braga, M Nascimento, AP Gomes
    Revista Brasileira de Zootecnia, 41, 783-789 (2012)
  8. Adaptability and stability based on nonparametric regression in coffee genotypes
    M Nascimento, A Ferreira, RG Ferrão, ACM Campana, LL Bhering, …
    Pesquisa Agropecuária Brasileira, 45, 41-48 (2010)
  9. Métodos estatísticos
    PR Cecon, AR Silva, M Nascimento, A Ferreira
    Viçosa: Editora UFV (2012)
  10. Quantitative sensory description using the Optimized Descriptive Profile: Comparison with conventional and alternative methods for evaluation of chocolate
    RC dos Santos Navarro, VPR Minim, JDS Carneiro, M Nascimento, …
    Food Quality and Preference, 30(2), 169-179 (2013)
  11. A discriminant function for validation of the cluster analysis and behavioral prediction of the coffee market
    NB Carvalho, VPR Minim, M Nascimento, MCTR Vidigal, MAM Ferreira, …
    Food Research International, 77, 400-407 (2015)
  12. Genomic prediction of leaf rust resistance to Arabica coffee using machine learning algorithms
    IC Sousa, M Nascimento, GN Silva, ACC Nascimento, CD Cruz, …
    Scientia Agricola, 78, e20200021 (2020)
  13. Impact of energy restriction during late gestation on the muscle and blood transcriptome of beef calves after preconditioning
    LP Sanglard, M Nascimento, P Moriel, J Sommer, M Ashwell, MH Poore, …
    BMC Genomics, 19, 1-18 (2018)
  14. Quantile regression for genome-wide association study of flowering time-related traits in common bean
    M Nascimento, ACC Nascimento, FF Silva, LD Barili, NM Vale, …
    PLoS One, 13(1), e0190303 (2018)
  15. Abordagem bayesiana para avaliação da adaptabilidade e estabilidade de genótipos de alfafa
    M Nascimento, FF Silva, T Sáfadi, ACC Nascimento, RP Ferreira, …
    Pesquisa Agropecuária Brasileira, 46, 26-32 (2011)
  16. Independent Component Analysis (ICA) based-clustering of temporal RNA-seq data
    M Nascimento, FF Silva, T Safadi, ACC Nascimento, TEM Ferreira, …
    PLoS One, 12(7), e0181195 (2017)
  17. Perspectiva bayesiana na seleção de genótipos de feijão-caupi em ensaios de valor de cultivo e uso
    PE Teodoro, M Nascimento, FE Torres, LMA Barroso, E Sagrilo
    Pesquisa Agropecuária Brasileira, 50(10), 878-885 (2015)
  18. Superiority of artificial neural networks for a genetic classification procedure
    IC Sant’Anna, RS Tomaz, GN Silva, M Nascimento, LL Bhering, CD Cruz
    Genetics and Molecular Research (2015)
  19. Recommendation of Coffea arabica genotypes by factor analysis
    IP Barbosa, WG da Costa, M Nascimento, CD Cruz, ACB de Oliveira
    Euphytica, 215, 1-10 (2019)
  20. Genotype-environment interaction in common bean cultivars with carioca grain, recommended for cultivation in Brazil in the last 40 years
    LD Barili, NM Vale, AL Prado, JES Carneiro, FF Silva, M Nascimento
    Crop Breeding and Applied Biotechnology, 15(04), 244-250 (2015)