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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. (1)Dreisigacker, S. (1)Gianola, D. (1)Gonzalez Camacho, J.M. (1)Manes, Y. (1)Pérez-Rodríguez, P. (1)
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2012 (1)
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Article (1)
Agrovoc
BAYESIAN THEORY (1)CROP FORECASTING (1)MATHEMATICAL MODELS (1)WHEAT (1)... View More
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GenPred (1)
Shared Data Resources (1)
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Global (1)


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