Evaluation of strategies to optimize training populations for genomic prediction in oat ( Avena sativa )
Author:
Affiliation:
1. Graminor AS Ridabu Ridabu Norway
2. Department of Plant Science Norwegian University of Life Sciences Ås Norway
3. International Maize and Wheat Improvement Center Texcoco Mexico
4. Nofima AS Ås Norway
Publisher
Wiley
Subject
Plant Science,Genetics,Agronomy and Crop Science
Link
https://onlinelibrary.wiley.com/doi/pdf/10.1111/pbr.13061
Reference49 articles.
1. PopGenReport: simplifying basic population genetic analyses in R
2. Akdemir D.(2018).STPGA: Selection of Training Populations by Genetic Algorithm. R package version 5.2.1.https://CRAN.R-project.org/package=STPGA
3. Design of training populations for selective phenotyping in genomic prediction
4. Optimization of genomic selection training populations with a genetic algorithm
5. Genomic Selection Using Pedigree and Marker-by-Environment Interaction for Barley Seed Quality Traits From Two Commercial Breeding Programs
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1. Identification of haplotypes associated with resistance to Fusarium graminearum in spring oat (Avena sativa L.);Plant Breeding;2024-01-23
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