Multi-trait ridge regression BLUP with de novo GWAS improves genomic prediction for haploid induction ability of haploid inducers in maize
These findings highlight the potential benefits of integrating multi-trait modeling or <i>de novo</i> GWAS into the rrBLUP framework. Such GP approaches in this study enhance PAs and provide empirical evidence for accelerating the genetic improvement of maize haploid inducers.
Authors
- Thomas Lübberstedt (ORCID: https://orcid.org/0000-0002-0526-0798)
- Ursula K. Frei (ORCID: https://orcid.org/0000-0001-5969-7306)
- Yu-Ru Chen (ORCID: https://orcid.org/0000-0003-0229-3890)
Institutions
- Iowa State University (US)
Publication Details
- Journal
- Frontiers in Plant Science
- Published
- 2025-08-19
- DOI
- https://doi.org/10.3389/fpls.2025.1614457
- Citations
- 1
- Primary Topic
- Genetic Mapping and Diversity in Plants and Animals
- Type
- article
- Field-Weighted Citation Impact
- 1.82
Funders
- U.S. Department of Agriculture
- National Institute of Food and Agriculture