Using genotype imputation to integrate Canola populations for genome-wide association and genomic prediction of blackleg resistance
It is feasible to impute and integrate germplasms from different sequencing platforms for downstream analyses. However, genetic heterogeneity across populations could add complexity to the analysis. Increasing the sample size by combining datasets showed slightly greater predictive ability and greater detection power in GWASs in the present study.
Authors
- Sukhjiwan Kaur (ORCID: https://orcid.org/0000-0003-3972-7058)
- Huanhuan Zhao (ORCID: https://orcid.org/0000-0001-6565-9314)
- Matthew Hayden (ORCID: https://orcid.org/0000-0003-3117-5500)
- Josquin Tibbits (ORCID: https://orcid.org/0000-0002-4951-7540)
- Gabriel Keeble‐Gagnère (ORCID: https://orcid.org/0000-0002-9165-0724)
- Iona M. MacLeod
- Denise M. Barbulescu
Institutions
- La Trobe University (AU)
- Agriculture Victoria (AU)
- AgriBio (AU)
Publication Details
- Journal
- BMC Genomics
- Published
- 2025-03-04
- DOI
- https://doi.org/10.1186/s12864-025-11250-4
- Citations
- 4
- Primary Topic
- Nitrogen and Sulfur Effects on Brassica
- Type
- article
- Field-Weighted Citation Impact
- 3.22