Gizaw Tilahun | Plant Breeding | Best Researcher Award

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Mr.  Gizaw  Tilahun | Plant Breeding | Best Researcher Award

Ethiopian Institute of Agricultural Research,  Ethiopia

Gizaw Wegayehu Tilahun is a skilled plant breeder and agronomist with over 7 years of experience in research, particularly in plant breeding, agronomy, crop protection, and participatory breeding. He specializes in barley, potatoes, garlic, vegetables, and highland seed spices. He is currently a Researcher I at the Ethiopian Institute of Agricultural Research (EIAR), Kulumsa Center, where he conducts extensive research on crop improvement and disease management. His work involves improving crop varieties for better resilience to biotic and abiotic stresses, and he actively engages smallholder farmers in applying advanced agricultural technologies.

Profile:

Education:

  • MSc. in Plant Breeding – Hawassa University, Ethiopia (2022)
    Thesis: Phenotypic Variability and Participatory Selection of Food Barley Genotypes for Moisture Stress

  • BSc. in Plant Science – Debre Berhan University, Ethiopia (2015)

Professional Experience:

  • Researcher I (2024 – Present) – Focus on potato, garlic, vegetables, spices, root, and tuber crops, proposal writing, data collection, and analysis.

  • Associate Researcher (2022 – 2024) – Conducted research on various crops and their performance under different conditions.

  • Assistant Researcher II (2018 – 2022) – Contributed to studies on vegetables, potatoes, and root crops.

  • Agronomist Supervisor at Almeta Impex (2016), managing disease, insect, and nutrient deficiency monitoring.

Selected Publications:

  • Tilahun, G.W., Zeleke, A.A., & Limeneh, D.F. (2025). Agronomic Evaluation and Genetic Variability Studies on Fenugreek. Ecological Genetics and Genomics

  • Tilahun, G.W., Fufa, N., et al. (2024). Stability and Performance of Potato Varieties in Ethiopia. International Journal of Agricultural Research

  • Tilahun, G.W., Galalcha, D.T., et al. (2023). Genetic Diversity of Ethiopian Coriander Accessions. International Journal of Bio-resource and Stress Management

Memberships:

  • Ethiopian Crop Science Society

  • Ethiopian Horticulture Science Society

  • Coffee Science Society

  • Protection Science Society

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)