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Article
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The relative efficiency of two multistage linear phenotypic selection indices to predict the net genetic merit 

Ceron-Rojas, J.J.; Toledo, F.H.; Crossa, J. (Crop Science Society of America (CSSA), 2019)
Multistage linear phenotypic selection indices predict the individual net genetic merit at different individual ages or stages and are cost-saving strategies for improving several traits. In a two-stage context, we compared ...
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A genomic bayesian multi-trait and multi-environment model 

Montesinos-Lopez, O.A.; Montesinos-López, A.; Toledo, F.H.; Pérez-Hernández, O.; Eskridge, K.; Rutkoski, J.; Crossa, J. (Genetics Society of America, 2016)
When information on multiple genotypes evaluated in multiple environments is recorded, a multi-environment single trait model for assessing genotype · environment interaction (G · E) is usually employed. Comprehensive ...
Article
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A bayesian poisson-lognormal model for count data for multiple-trait multiple-environment genomic-enabled prediction 

Montesinos-Lopez, O.A.; Montesinos-López, A.; Crossa, J.; Toledo, F.H.; Montesinos-López, J.C.; Singh, P.K.; Juliana, P.; Salinas Ruiz. J. (Genetics Society of America, 2017)
When a plant scientist wishes to make genomic-enabled predictions of multiple traits measured in multiple individuals in multiple environments, the most common strategy for performing the analysis is to use a single trait ...
Article
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Application of remote sensing for phenotyping tar spot complex resistance in maize 

Loladze, A.; Rodrigues, F.; Toledo, F.H.; San Vicente, F.M.; Gerard, B.; Prasanna, B.M. (Frontiers, 2019)
Tar spot complex (TSC), caused by at least two fungal pathogens, Phyllachora maydis and Monographella maydis, is one of the major foliar diseases of maize in Central and South America. P. maydis was also detected in the ...
Article
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A Bayesian decision theory approach for genomic selection 

Villar-Hernandez, B.d.J.; Perez-Elizalde, S.; Crossa, J.; Perez-Rodriguez, P.; Toledo, F.H.; Burgueño, J. (Genetics Society of America, 2018)
Plant and animal breeders are interested in selecting the best individuals from a candidate set for the next breeding cycle. In this paper, we propose a formal method under the Bayesian decision theory framework to tackle ...
Presentation
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Theory on genetic diversity analysis 

Toledo, F.H. (CIMMYT, 2017)
Presentation
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Theory on genomic-wide association mapping 

Toledo, F.H. (CIMMYT, 2017)
Presentation
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Predicting cross/hybrid values 

Toledo, F.H. (CIMMYT, 2017)
Conference Poster
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Evaluation of simulated meiosis algorithms for stochastic simulations 

Toledo, F.H.; Crossa, J.; Burgueño, J. (CIMMYT, [2016])
Article
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An R Package for Bayesian analysis of multi-environment and multi-trait multi-environment data for genome-based prediction 

Montesinos-Lopez, O.A.; Montesinos-Lopez, A.; Luna-Vazquez, F.J.; Toledo, F.H.; Perez-Rodriguez, P.; Lillemo, M.; Crossa, J. (Genetics Society of America, 2019)
Evidence that genomic selection (GS) is a technology that is revolutionizing plant breeding continues to grow. However, it is very well documented that its success strongly depends on statistical models, which are used by ...
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Author
Toledo, Fernando Henrique (20)
Crossa, J. (12)Burgueño, J. (6)Cerón-Rojas, J.J. (4)Montesinos-Lopez, Osval Antonio (3)Montesinos-López, A. (3)Pérez-Rodríguez, Paulino (3)Boddupalli, Prasanna (2)Juliana, P. (2)Andrade, V.T. (1)... View More
Date Issued
2020 (2)2019 (7)2018 (2)2017 (4)2016 (4)
Type
Article (12)Presentation (6)Book Chapter (1)Conference Poster (1)
Agrovoc
STATISTICAL METHODS (6)BAYESIAN THEORY (4)GENOMICS (4)PLANT BREEDING (4)GENETIC GAIN (3)MAIZE (3)PHENOTYPES (3)SELECTION INDEX (3)DISEASE RESISTANCE (2)GENETIC VARIATION (2)... View More
Keywords
GenPred (4)Shared Data Resources (4)Genomic Selection (3)Multi-Trait Multi-Environment (2)Bayesian Decision Theory (1)Bayesian Estimation (1)Bayesian Genomic Enabled Prediction (1)Corn (1)Count Phenotype (1)Genome Based Prediction and Selection (1)... View More


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