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Genome-enabled prediction of genetic values using radial basis function neural networks 

Gonzalez-Camacho, J.M.; Campos, G. de los; Perez, P.; Gianola, D.; Cairns, J.E.; Mahuku, G.; Babu, R.; Crossa, J. (Springer, 2012)
The availability of high density panels of molecular markers has prompted the adoption of genomic selection (GS) methods in animal and plant breeding. In GS, parametric, semi-parametric and non-parametric regressions models ...
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Genomic-enabled prediction based on molecular markers and pedigree using the Bayesian linear regression package in R 

Perez, P.; De los Campos, G.; Crossa, J.; Gianola, D. (Crop Science Society of America, 2010)
The availability of dense molecular markers has made possible the use of genomic selection in plant and animal breeding. However, models for genomic selection pose several computational and statistical challenges and require ...
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Comparison between linear and non-parametric regression models for genome-enabled prediction in wheat 

Pérez-Rodríguez, P.; Gianola, D.; Gonzalez-Camacho, J.M.; Crossa, J.; Manes, Y.; Dreisigacker, S. (Genetics Society of America, 2012)
In genome-enabled prediction, parametric, semi-parametric, and non-parametric regression models have been used. This study assessed the predictive ability of linear and non-linear models using dense molecular markers. The ...

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Author
Crossa, J. (3)
Gianola, D. (3)
Pérez-Rodríguez, Paulino (3)De Los Campos, Gustavo (2)Gonzalez Camacho, J.M. (2)Babu, R. (1)Cairns, J. (1)Dreisigacker, S. (1)Mahuku, George (1)Manes, Y. (1)
Date Issued
2012 (2)2010 (1)
Type
Article (3)
Agrovoc
BAYESIAN THEORY (3)GENETIC MARKERS (2)COMPUTER APPLICATIONS (1)CROP FORECASTING (1)GENETICS (1)MARKER-ASSISTED SELECTION (1)MATHEMATICAL MODELS (1)NEURAL NETWORKS (1)SIMULATION MODELS (1)STATISTICAL METHODS (1)... View More
Keywords
GenPred (1)Shared Data Resources (1)... View More
Region
Global (3)


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