Moyses Nascimento | Plant breeding | Best Researcher Award Posted on 13/11/202413/11/2024 by sciencefather 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 Google Scholar Orcid 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 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) 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) 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) 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) 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) 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) 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) 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) Métodos estatísticos PR Cecon, AR Silva, M Nascimento, A Ferreira Viçosa: Editora UFV (2012) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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)
Barbara Wiewióra | Plant Breeding | Best Researcher Award Posted on 24/06/202424/06/2024 by sciencefather Assoc Prof Dr Barbara Wiewióra | Plant Breeding | Best Researcher Award Associated professor at Plant Breeding and Acclimatization Institute – National Research Institute, Poland Barbara Wiewióra was born on December 6, 1970. She pursued her higher education at the Academy of Agriculture in Kraków, Poland, where she studied from 1989 to 1994, earning a Master of Science degree in Agriculture. Profile: Orcid 🎓 Education: Academy of Agriculture, Kraków, Poland Master of Science, Faculty of Agriculture (1989-1994) 🌱 Career Highlights: Plant Breeding and Acclimatization Institute, Radzików, Poland Department of Seed Science and Technology Laboratory of Seed Health and Identity Evaluation Assistant Professor (since January 2006) Associate Professor (since March 2013) 🔬 Research Focus: Plant Breeding Barbara Wiewióra’s research at the Plant Breeding and Acclimatization Institute is primarily focused on advancing seed science and technology. Her work encompasses: Investigating seed genotypes for microorganism incidence Assessing ergot contamination in grass seed Studying seed factors affecting barley quality Analyzing pea seed health at different maturity stages Exploring the impact of tannin content on faba bean seed health Ensuring seed health during triticale multiplication processes Her contributions are instrumental in enhancing seed quality and agricultural sustainability. Publication Top Notes: The Infection of Barley at Different Growth Stages by Bipolaris sorokiniana and Its Effect on Plant Yield and Sowing Value Agronomy, 2024-06 DOI: 10.3390/agronomy14061322 Contributors: Barbara Wiewióra, Grzegorz Żurek Source: Multidisciplinary Digital Publishing Institute Amenity Grasses—A Short Insight into Species, Their Applications and Functions Agronomy, 2023-04-19 DOI: 10.3390/agronomy13041164 Contributors: Barbara Wiewióra, Grzegorz Żurek Source: Crossref Quantification of DNA of Fusarium culmorum and Trichothecene Genotypes 3ADON and NIV in the Grain of Winter Wheat Pathogens, 2022-11-30 DOI: 10.3390/pathogens11121449 Contributors: Tomasz Góral, Jarosław Przetakiewicz, Piotr Ochodzki, Barbara Wiewióra, Halina Wiśniewska Source: Crossref Quantification of DNA of Fusarium culmorum and Trichothecene Genotypes 3ADON and NIV in the Grain of Winter Wheat Preprint, 2022-11-15 DOI: 10.20944/preprints202211.0279.v1 Contributors: Tomasz Góral, Jarosław Przetakiewicz, Piotr Ochodzki, Barbara Wiewióra, Halina Wiśniewska Source: Crossref Different Response of Perennial Ryegrass—Epichloë Endophyte Symbiota to the Elevated Concentration of Heavy Metals in Soil Journal of Applied Genetics, 2021-09-21 DOI: 10.1007/s13353-021-00661-0 Contributor: Barbara Wiewióra Source: Barbara Wiewióra The Response of the Associations of Grass and Epichloë Endophytes to the Increased Content of Heavy Metals in the Soil Plants, 2021-02 DOI: 10.3390/plants10030429 Contributors: Barbara Wiewióra, Grzegorz Żurek Source: Multidisciplinary Digital Publishing Institute Ocena zdrowotności materiału nasiennego traw w zależności od wybranych zapraw nasiennych Biuletyn Instytutu Hodowli i Aklimatyzacji Roślin, 2021-01-22 DOI: 10.37317/biul-2021-0001 Contributors: Barbara Wiewióra, Dagmara Bronisz Source: Crossref The Fungal Communities on Spring Wheat Seeds from Different Environmental Conditions Plant Breeding and Seed Science, 2018 Contributor: Barbara Wiewióra Source: Barbara Wiewióra Environmental Effect on Epichloë Endophyte Occurrence and Ergovaline Concentration in Wild Populations of Forage Grasses in Poland Plant and Soil, 2017 DOI: 10.1007/s11104-016-3028-5 Contributor: Barbara Wiewióra Source: Barbara Wiewióra Endophyte-Mediated Disease Resistance in Wild Populations of Perennial Ryegrass (Lolium perenne) Fungal Ecology, 2015 DOI: 10.1016/j.funeco.2015.01.004 Contributors: Barbara Wiewióra, Grzegorz Żurek, Marcin Żurek Source: Barbara Wiewióra via Scopus – Elsevier