Multi-trait Improvement by Predicting Genetic Correlations in Breeding Crosses.

Neyhart, Jeffrey L; Lorenz, Aaron J; Smith, Kevin P

Neyhart, Jeffrey L; Lorenz, Aaron J; Smith, Kevin P.

Affiliation

Neyhart JL; Department of Agronomy and Plant Genetics, University of Minnesota, St. Paul, MN 55108.
Lorenz AJ; Department of Agronomy and Plant Genetics, University of Minnesota, St. Paul, MN 55108.
Smith KP; Department of Agronomy and Plant Genetics, University of Minnesota, St. Paul, MN 55108 smith376@umn.edu.

G3 (Bethesda) ; 9(10): 3153-3165, 2019 10 07.

Article in En | MEDLINE | ID: mdl-31358561

Subject(s)

Breeding; Crosses, Genetic; Quantitative Trait Loci; Quantitative Trait, Heritable; Algorithms; Genetic Association Studies; Genetics, Population; Genome, Plant; Genomics/methods; Models, Genetic; Plant Breeding; Plants/genetics; Reproducibility of Results; Selection, Genetic

Key words

GenPred; Genomic Prediction; Shared Data Resources; barley; cross selection; genetic correlation; genomewide prediction; simulation

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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Breeding / Quantitative Trait, Heritable / Crosses, Genetic / Quantitative Trait Loci Type of study: Prognostic_studies / Risk_factors_studies Language: En Journal: G3 (Bethesda) Year: 2019 Document type: Article Country of publication: United kingdom

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