aceMachine Learning and Statistical Models for Genomic Selection of Phytophthora Fruit Rot Resistance in Watermelon
Breeding for Phytophthora fruit rot (PFR) resistance caused by the devastating pathogen Phytophthora capsici remains challenging in watermelon mainly due to phenotyping constraints. To overcome these bottlenecks, we developed and validated genomic selection models using an interspecific recombinant inbred line (RIL, F 11 ) population derived from USVL531-MDR (resistant, Citrullus mucosospermus ) × USVL677-PMS (susceptible, Citrullus lanatus ) and a segregating F 2 population (USVL531-MDR × 'Calhoun Grey'). Matur…
Genomic selection models including machine learning algorithms predicted PFR resistance in watermelon, achieving high cross-validated accuracy in the RIL population and capturing top-performing lines.
Evidence
- Peer-reviewedPhytopathology®2026-10-03
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Truvace Impact Record TRV-2026-1299, v1: “Machine Learning and Statistical Models for Genomic Selection of Phytophthora Fruit Rot Resistance in Watermelon.” Truvace, 2026-10-06. /record/TRV-2026-1299 (accessed at citation time). sha256 1bf507ec22de765c…
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