Bayesian optimization for genomic selection: a method for discovering the best genotype among a large number of candidates

Key message A new pre-breeding strategy based on an optimization algorithm is proposed and evaluated via simulations. This strategy can find superior genotypes with less phenotyping effort. Genomic prediction is a promising approach to search for superior genotypes among a large number of accessions...

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Veröffentlicht in:	Theoretical and applied genetics 2018-01, Vol.131 (1), p.93-105
Hauptverfasser:	Tanaka, Ryokei, Iwata, Hiroyoshi
Format:	Artikel
Sprache:	eng
Schlagworte:	Agriculture Bayes Theorem Bayesian analysis Biochemistry Biomedical and Life Sciences Biotechnology Breeding Computer simulation Gene banks Genetic aspects Genotype Genotypes Germplasm Life Sciences Models, Genetic Optimization Optimization theory Original Article Phenotype Phenotyping Plant Biochemistry Plant Breeding Plant Breeding/Biotechnology Plant Genetics and Genomics Prediction models Selection, Genetic Strategy
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