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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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New deep learning genomic-based prediction model for multiple traits with binary, ordinal, and continuous phenotypes 

Montesinos-Lopez, O.A.; Martin-Vallejo, J.; Crossa, J.; Gianola, D.; Hernández Suárez, C.M.; Montesinos-López, A.; Juliana, P.; Singh, R.P. (Genetics Society of America, 2019)
Multiple-trait experiments with mixed phenotypes (binary, ordinal and continuous) are not rare in animal and plant breeding programs. However, there is a lack of statistical models that can exploit the correlation between ...
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A benchmarking between deep learning, support vector machine and bayesian threshold best linear unbiased prediction for predicting ordinal traits in plant breeding 

Montesinos-Lopez, O.A.; Martin-Vallejo, J.; Crossa, J.; Gianola, D.; Hernández Suárez, C.M.; Montesinos-Lopez, A.; Juliana, P.; Singh, R.P. (Genetics Society of America, 2019)
Genomic selection is revolutionizing plant breeding. However, still lacking are better statistical models for ordinal phenotypes to improve the accuracy of the selection of candidate genotypes. For this reason, in this ...
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Bayesian multitrait kernel methods improve multienvironment genome-based prediction 

Montesinos-Lopez, O.A.; Montesinos-Lopez, J.C.; Montesinos-Lopez, A.; Ramirez-Alcaraz, J.M.; Poland, J.A.; Singh, R.P.; Dreisigacker, S.; Crespo Herrera, L.A.; Mondal, S.; Velu, G.; Juliana, P.; Huerta-Espino, J.; Shrestha, S.; Varshney, R.K.; Crossa, J. (Oxford University Press, 2022)
Article
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Genomic prediction with genotype by environment interaction analysis for kernel zinc concentration in tropical maize germplasm 

Mageto, E.K.; Crossa, J.; Perez-Rodriguez, P.; Dhliwayo, T.; Palacios-Rojas, N.; Lee, M.; Rui Guo; San Vicente, F.M.; Zhang, X.; Hindu, V. (Genetics Society of America, 2020)
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Maximum a posteriori Threshold Genomic Prediction model for ordinal traits 

Montesinos-López, A.; Gutierrez-Pulido, H.; Montesinos-Lopez, O.A.; Crossa, J. (Genetics Society of America, 2020)
Article
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A multivariate Poisson deep learning model for genomic prediction of count data 

Montesinos-Lopez, O.A.; Montesinos-Lopez, J.C.; Singh, P.K.; Lozano-Ramirez, N.; Barrón-López, A.; Montesinos-Lopez, A.; Crossa, J. (Genetics Society of America, 2020)
Article
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A zero altered Poisson random forest model for genomic-enabled prediction 

Montesinos-Lopez, O.A.; Montesinos-López, A.; Mosqueda-Gonzalez, B.A.; Montesinos-Lopez, J.C.; Crossa, J.; Lozano-Ramirez, N.; Singh, P.K.; Valladares-Anguiano, F.A. (Genetics Society of America, 2021)
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Origin specific genomic selection: a simple process to optimize the favorable contribution of parents to progeny 

Chin Jian Yang; Sharma, R.; Gorjanc, G.; Hearne, S.; Powell, W.; Mackay, I. (Genetics Society of America, 2020)

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Author
Crossa, J. (8)Montesinos-Lopez, O.A. (7)Montesinos-López, A. (7)Juliana, P. (3)Montesinos-Lopez, J.C. (3)Singh, R.P. (3)Gianola, D. (2)Lozano, N. (2)Martin Vallejo, F.J. (2)Pérez-Rodríguez, P. (2)... View More
Date Issued
2022 (1)2021 (1)2020 (4)2019 (3)
Type
Article (9)
Agrovoc
PLANT BREEDING (5)BAYESIAN THEORY (4)GENOMICS (4)MARKER-ASSISTED SELECTION (4)MODELS (3)DATA (2)ARTIFICIAL SELECTION (1)BARLEY (1)BREEDING (1)CROP FORECASTING (1)... View More
Keywords
Genomic Prediction (9)
GenPred (9)
Shared Data Resources (8)Genomic Selection (6)Deep Learning (2)Support Vector Machine (2)Count Data (1)Count Data of Wheat Lines (1)EM Algorithm (1)Genome Based Prediction and Selection (1)... View More


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