Association mapping of tomato fruit quality for weight, firmness, brix, and color using GWAS
This study demonstrates the multilayered genetic networks governing tomato fruit quality and expands the catalog of loci contributing to polygenic traits. By using SNPs, INDELs, and SVs with FarmCPU and Blink models, we provide validated and novel targets for marker-assisted breeding, genomic selection, and functional validation. These findings establish a framework for accelerating the development of tomato cultivars with enhanced fruit weight, sweetness, firmness, and color, thereby supporting both market competitiveness and nutritional quality.
Authors
- Adem Doğan (ORCID: https://orcid.org/0000-0002-8578-5841)
- Yasin Topcu (ORCID: https://orcid.org/0000-0001-5296-2939)
- Serkan Aydın (ORCID: https://orcid.org/0000-0001-6513-3005)
- Alper Adak (ORCID: https://orcid.org/0000-0002-2737-8041)
- Q. Feng (ORCID: https://orcid.org/0000-0002-3891-9712)
- Manoj Sapkota (ORCID: https://orcid.org/0000-0002-9987-1193)
- Halim Can Kayikci (ORCID: https://orcid.org/0000-0003-1587-8601)
Institutions
- University of Kentucky (US)
- University of Georgia (US)
- Akdeniz University (TR)
Publication Details
- Journal
- BMC Plant Biology
- Published
- 2025-12-02
- DOI
- https://doi.org/10.1186/s12870-025-07838-3
- Citations
- 2
- Primary Topic
- Genetic Mapping and Diversity in Plants and Animals
- Type
- article
- Field-Weighted Citation Impact
- 3.63