Kaio Olímpio das Graças Dias

Author

Brazilian Agricultural Research Corporation ORCID

Also Known As

DIAS, K. O. das. G., Dias, Kaio Olímpio das Graças, Guilherme de Sousa, K. O. G. Dias, K.O.G. Dias, Kaio Dias, Kaio O G Dias, Kaio O. G. Dias, Kaio O.G. Dias, Kaio Olimpio G. Dias

Publications

800

Citations

H-Index

Concepts

All Affiliations

Brazilian Agricultural Research Corporation Universidade Federal de Viçosa Universidade Federal de Lavras Universidade de São Paulo Iowa State University

About

Kaio Olímpio das Graças Dias is an author at Brazilian Agricultural Research Corporation specializing in medicine, genetic variation, and genetics.

Top Concepts

#	Concept	H-Index	Publications	Citations
1	Medicine	12	12	557
2	Public Health	10	10	426
3	Engineering	4	4	169
4	Natural Sciences	2	2	38
5	Biology	2	2	38

Kaio Olímpio das Graças Dias

Publications

699

Citations

H-Index

Page 1

	Year	Citations
Efficiency of multi-trait, indirect, and trait-assisted genomic selection for improvement of biomass sorghum Samuel B. Fernandes, Kaio Olímpio das Graças Dias, Daniel Furtado Ferreira, Theoretical and Applied Genetics Plant GeneticsPrecision AgricultureGeneticsGenomicsGenomic Selection	2017	178
Improving accuracies of genomic predictions for drought tolerance in maize by joint modeling of additive and dominance effects in multi-environment trials Kaio Olímpio das Graças Dias, Salvador A. Gezan, C. T. Guimarães, Heredity Plant GeneticsPrecision AgricultureEngineeringDominance EffectsDrought	2018	113
Estimating Genotype × Environment Interaction for and Genetic Correlations among Drought Tolerance Traits in Maize via Factor Analytic Multiplicative Mixed Models Kaio Olímpio das Graças Dias, Salvador A. Gezan, C. T. Guimarães, Crop Science GeneticsDrought Tolerance TraitsGenetic CorrelationsAgricultural EconomicsCrop Improvement	2017	48
Novel strategies for genomic prediction of untested single-cross maize hybrids using unbalanced historical data Kaio Olímpio das Graças Dias, Hans‐Peter Piepho, L. J. M. Guimarães, Theoretical and Applied Genetics Unbalanced Historical DataPlant GeneticsNovel StrategiesHybridizationGenetics	2019	47
Improving yield and fruit quality traits in sweet passion fruit: Evidence for genotype by environment interaction and selection of promising genotypes Lourdes Maria Chavarría-Perez, Willian Giordani, Kaio Olímpio das Graças Dias, PLoS ONE Environment InteractionBotanyGeneticsGenetic CorrelationsAgricultural Economics	2020	35
Genomic prediction in multi-environment trials in maize using statistical and machine learning methods Cynthia Aparecida Valiati Barreto, Kaio Olímpio das Graças Dias, Ithalo Coelho de Sousa, Scientific Reports	2024	30
Boosting predictive ability of tropical maize hybrids via genotype‐by‐environment interaction under multivariate GBLUP models Matheus Dalsente Krause, Kaio Olímpio das Graças Dias, J. Santos, Crop Science GeneticsAgricultural EconomicsAbstract Genomic SelectionGenomicsGenomic Selection	2020	29
GIS-FA: an approach to integrating thematic maps, factor-analytic, and envirotyping for cultivar targeting Maurício dos Santos Araújo, Saulo Fabrício da Silva Chaves, Luíz Antônio dos Santos Dias, Theoretical and Applied Genetics Precision AgricultureEngineeringLand UseThematic MapsCrop Protection	2024	22
Using machine learning to combine genetic and environmental data for maize grain yield predictions across multi-environment trials Igor Kuivjogi Fernandes, Caio Canella Vieira, Kaio Olímpio das Graças Dias, Theoretical and Applied Genetics	2024	22
High‐density SNP‐based genetic diversity and heterotic patterns of tropical maize breeding lines Karla Jorge da Silva, C. T. Guimarães, José Henrique Soler Guilhen, Crop Science Plant GeneticsGeneticsGenomicsCrop ImprovementCrop Diversity	2020	20

Page 1