Detalle de: Genomic-Assisted Breeding Applied to Sunflower Improvement
| Title | Genomic-Assisted Breeding Applied to Sunflower Improvement |
| Description |
Partnering with Syngenta's sunflower breeding program (Programa UPM-Syngenta), we're optimizing genomic methodologies for industrial-scale application: historical data optimization for training genomic prediction models, enhanced field trial designs, and advanced modeling incorporating machine learning, spatial analysis, and two-stage approaches. |
| Type Of Funding | Industrial Doctorate |
| Funding Agency | Syngenta |
| Grant Number | |
| Project Acronym | |
| Period | 2022 - 2026 |
| Funding Amount | |
| Ontology | Machine Learning in Biology, Statistical Methods for Biology, Experimental design, Plant genomics |
| Research Groups | Genomic assisted breeding |
| Researchers | Julio Isidro y Sanchez |