Kaio Olimpio Das Gracas Dias

@ufv.br

Professor
University of Viçosa

RESEARCH, TEACHING, or OTHER INTERESTS

Agricultural and Biological Sciences
1000

Scholar Citations

17

Scholar h-index

23

Scholar i10-index

RECENT SCHOLAR PUBLICATIONS

  • Longitudinal data improves selection of drought-tolerant Eucalyptus germplasm
    GB Canal, GA Dos Santos, FM Ferreira, LL Bhering, TAPC Nogueira, ...
    Scientific Reports , 2026
    2026
  • Towards a sweetpotato genomic-enabled breeding: optimizing two-stage analysis of multi-environment augmented trials
    S Chaves, R Ssali, JTB Chagas, KOG Dias, B De Boeck, T Mendes, ...
    Theoretical and Applied Genetics 139 (4), 102 , 2026
    2026
  • Diallel analysis of elephantgrass clones for bioenergy production in a tropical environment
    T de Vilela de Souza Pessoa, ÉF de dos Santos, J da Costa Carneiro, ...
    Crop Science 66 (2), e70273 , 2026
    2026
  • Optimal selection of common bean genotypes under genotype× environment interaction and its environmental drivers
    JAFV Netto, HP Panichi, JMA de Sousa, GM Blasques, HS Pereira, ...
    2026
  • Impact of genotyping platform and quality control on genomic prediction accuracy of soybean oil composition
    M Prado, RHG Priolli, EGO Couto, F Sabadin, KOG Dias, JB Pinheiro
    Euphytica 222 (1), 5 , 2026
    2026
  • Predictive ability of enviromic modeling in G× E interactions for upland rice site recommendations
    MAM Bahia, GE Marcatti, F Breseghello, PGS Melo, KOG Dias, Y Xu, ...
    Euphytica 221 (11), 172 , 2025
    2025
    Citations: 5
  • Enhancing enviromics based predictions in common bean multi-environment trials
    GM Blasques, LAS Dias, MS Araújo, AF Chiorato, SAM Carbonell, ...
    Scientific Reports 15 (1), 38070 , 2025
    2025
    Citations: 1
  • Single-step genomic best linear unbiased predictions of sugarcane genotype performance
    MTV Gonçalves, KOG Dias, G da Silva Pereira, PHS Ferreira, ...
    Euphytica 221 (8), 131 , 2025
    2025
  • Exploring genotype-by-environment interactions in tropical soybean multi-environment trials
    GR Pereira, MS Araújo, SFS Chaves, GM Blasques, LAS Dias, FL Silva, ...
    Euphytica 221 (8), 124 , 2025
    2025
    Citations: 2
  • Prediction of biomass sorghum hybrids using environmental feature-enriched genomic combining ability models in tropical environments
    PCO Ribeiro, R Howard, D Jarquin, ICM Oliveira, S Chaves, ...
    Theoretical and Applied Genetics 138 (6), 113 , 2025
    2025
  • Bayesian probabilistic selection index in the selection of common bean families
    JTB Chagas, KOG Dias, V Quintão Carneiro, LMC De Oliveira, NX Nunes, ...
    Crop Science 65 (3), e70072 , 2025
    2025
    Citations: 1
  • Deciphering the role of genotype-by-environment interaction in summer maize hybrids based on multiple traits using envirotyping techniques and genotype by yield× trait approaches
    H Yue, KOG Dias, J Zhu, J Bu, J Wei, P Liu, H Yang, X Jiang
    Field Crops Research 326, 109875 , 2025
    2025
    Citations: 5
  • Statistical genetics models with residual and genetic structures enhance the accuracy of selecting wheat populations
    JMA Sousa, EFT Vieira, RTL Fronza, JAFV Netto, GW Lima, KOG Dias, ...
    Euphytica 221 (5), 55 , 2025
    2025
  • Application of linear mixed models to overcome challenges of unbalanced data in common bean breeding
    DH Goncalves Jr, JD Pereira Jr, LMC de Oliveira, NX Nunes, L Bender, ...
    Agronomy Journal 117 (2), e70042 , 2025
    2025
  • Incorporating spatial and genetic competition into breeding pipelines with the R package gencomp
    SFS Chaves, FM Ferreira, GC Ferreira, SA Gezan, KOG Dias
    Heredity 134 (2), 129-141 , 2025
    2025
    Citations: 2
  • Stage-wise selection of tropical wheat populations using univariate and multivariate BLUP models
    HC Mezzomo, CM e Silva, CR Casagrande, GW Lima, JP Oliveira, ...
    2025
  • Optimizing the single-step model for predicting fumonisins resistance in maize hybrids accounting for the genotype-byenvironment interaction
    JSPC Evangelista, KOG Dias, MM Pastina, SFS Chaves, ...
    Frontiers in Genetics 16, 1475452 , 2025
    2025
  • Enhancing population and family selection accuracy with statistical genetics models accounting for epistatic effects for wheat breeding
    RTL Fronza, HC Mezzomo, CV Batista, E Moresco, KOG Dias, M Nardino
    Agronomy Journal 117 (1), e270024 , 2025
    2025
    Citations: 1
  • Unraveling the inbreeding depression patterns in a self-pollinated eucalyptus population
    FM Ferreira, JA Vieira-Netto, GF Melchert, TR Benatti, JV Matos, FR Muniz, ...
    bioRxiv, 2025.02. 03.636226 , 2025
    2025
  • Using soybean historical field trial data to study genotype by environment variation and identify mega‐environments with the integration of genetic and non‐genetic factors
    MD Krause, KOG Dias, AK Singh, WD Beavis
    Agronomy Journal 117 (1), e70023 , 2025
    2025
    Citations: 11

MOST CITED SCHOLAR PUBLICATIONS

  • Efficiency of multi-trait, indirect, and trait-assisted genomic selection for improvement of biomass sorghum
    SB Fernandes, KOG Dias, DF Ferreira, PJ Brown
    Theoretical and Applied Genetics , 2018
    2018
    Citations: 213
  • Improving accuracies of genomic predictions for drought tolerance in maize by joint modeling of additive and dominance effects in multi-environment trials
    KOG Dias, SA Gezan, CT Guimarães, A Nazarian, LC e Silva, ...
    Heredity, 1 , 2018
    2018
    Citations: 110
  • Estimating Genotype X Environment Interaction for and Genetic Correlations among Drought Tolerance Traits in Maize via Factor Analytic Multiplicative Mixed Models
    KOG Dias, SA Gezan, CT Guimaraes, SN Parentoni, ...
    CROP SCIENCE 58 (1), 72-83 , 2018
    2018
    Citations: 62
  • Using machine learning to combine genetic and environmental data for maize grain yield predictions across multi-environment trials
    IK Fernandes, CC Vieira, KOG Dias, SB Fernandes
    Theoretical and Applied Genetics 137 (8), 189 , 2024
    2024
    Citations: 46
  • Improving yield and fruit quality traits in sweet passion fruit: Evidence for genotype by environment interaction and selection of promising genotypes
    LM Chavarría-Perez, W Giordani, KOG Dias, ZP Costa, CAM Ribeiro, ...
    Plos one 15 (5), e0232818 , 2020
    2020
    Citations: 45
  • Genomic prediction in multi-environment trials in maize using statistical and machine learning methods
    CAV Barreto, KO das Graças Dias, IC de Sousa, CF Azevedo, ...
    Scientific Reports 14 (1), 1062 , 2024
    2024
    Citations: 41
  • Novel strategies for genomic prediction of untested single-cross maize hybrids using unbalanced historical data
    KOG Dias, HP Piepho, LJM Guimarães, PEO Guimarães, SN Parentoni, ...
    Theoretical and Applied Genetics 133 (2), 443-455 , 2020
    2020
    Citations: 41
  • Leveraging probability concepts for cultivar recommendation in multi-environment trials
    KOG Dias, JPR Dos Santos, MD Krause, HP Piepho, LJM Guimarães, ...
    Theoretical and Applied Genetics 135 (4), 1385-1399 , 2022
    2022
    Citations: 30
  • GIS-FA: an approach to integrating thematic maps, factor-analytic, and envirotyping for cultivar targeting
    MS Araújo, SFS Chaves, LAS Dias, FM Ferreira, GR Pereira, ...
    Theoretical and Applied Genetics 137 (4), 1-23 , 2024
    2024
    Citations: 29
  • Boosting predictive ability of tropical maize hybrids via genotype by environment interaction under multivariate GBLUP models
    MD Krause, KOG Dias, JPR dos Santos, AA de Oliveira, LJM Guimarães, ...
    Crop Science , 2020
    2020
    Citations: 29
  • Models to Estimate Genetic Gain of Soybean Seed Yield from Annual Multi-Environment Field Trials
    M Dalsente Krause, HP Piepho, K Dias Olimpio das Gracas, AK Singh, ...
    Theoretical and Applied Genetics, 2023.05. 13.540664 , 2023
    2023
    Citations: 24
  • Haploid identification using tropicalized haploid inducer progenies in maize
    CB Ribeiro, FC Pereira, L Nóbrega Filho, BA Rezende, KOG Dias, ...
    Crop Breeding and Applied Biotechnology 18 (1), 16-23 , 2018
    2018
    Citations: 22
  • High‐density SNP‐based genetic diversity and heterotic patterns of tropical maize breeding lines
    KJ Silva, CT Guimarães, JHS Guilhen, PE de Oliveira Guimarães, ...
    Crop Science , 2020
    2020
    Citations: 21
  • A multi-environment trials diallel analysis provides insights on the inheritance of fumonisin contamination resistance in tropical maize
    JMV Pádua, KOG Dias, MM Pastina, JC de Souza, VAV Queiroz, ...
    Euphytica 211 (3), 277-285 , 2016
    2016
    Citations: 21
  • Envirotypes applied to evaluate the adaptability and stability of wheat genotypes in the tropical region in Brazil
    CR Casagrande, HC Mezzomo, DJP de Sousa, CV dos Santos, ...
    Euphytica 220 (2), 27 , 2024
    2024
    Citations: 20
  • In vivo haploid induction and efficiency of two chromosome duplication protocols in tropical maize
    EGO Couto, ÉVRV Pinho, RGV Pinho, AD Veiga, FO Bustamante, ...
    Ciência e Agrotecnologia 39 (5), 435-442 , 2015
    2015
    Citations: 20
  • Employing factor analytic tools for selecting high‐performance and stable tropical maize hybrids
    SFS Chaves, JSPC Evangelista, RS Trindade, LAS Dias, PE Guimarães, ...
    Crop Science , 2023
    2023
    Citations: 18
  • Avaliação do teor de cafeína em folhas e grãos de acessos de café arábica
    A Lara Teixeira, PE Rodrigues Prado, KOG Dias, M Ribeiro Malta, ...
    Revista Ciência Agronômica 43 (1) , 2012
    2012
    Citations: 17
  • Application of linear mixed models for multiple harvest/site trial analyses in perennial plant breeding
    SFS Chaves, JSPC Evangelista, RS Alves, FM Ferreira, LAS Dias, ...
    Tree Genetics & Genomes 18 (6), 44 , 2022
    2022
    Citations: 14
  • Using soybean historical field trial data to study genotype by environment variation and identify mega‐environments with the integration of genetic and non‐genetic factors
    MD Krause, KOG Dias, AK Singh, WD Beavis
    Agronomy Journal 117 (1), e70023 , 2025
    2025
    Citations: 11