Prof Moyses Nascimento | Plant breeding | Best Researcher Award
Associate Professor at Federal University of Vicosa, Brazil
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 :
- 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)
Moyses Nascimento | Plant breeding | Best Researcher Award