A Comparison between Three Tuning Strategies for Gaussian Kernels in the Context of Univariate Genomic Prediction

A Comparison between Three Tuning Strategies for Gaussian Kernels in the Context of Univariate Genomic Prediction

Genomic prediction is revolutionizing plant breeding since candidate genotypes can be selected without the need to measure their trait in the field. When a reference population contains both phenotypic and genotypic information, it is trained by a statistical machine learning method that is subseque...

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Bibliographic Details
Main Authors: Osval A. Montesinos-López, Arron H. Carter, David Alejandro Bernal-Sandoval, Bernabe Cano-Paez, Abelardo Montesinos-López, José Crossa
Format: Article
Language:English
Published: MDPI AG 2022-12-01
Series:Genes
Subjects:
kernels
tuning
genomic prediction
Gaussian kernel
grid search
Bayesian optimization
Online Access:https://www.mdpi.com/2073-4425/13/12/2282

Internet

https://www.mdpi.com/2073-4425/13/12/2282

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