Aug 2026
An integrated framework combining multi-criteria and machine learning approaches for genotype evaluation in crested wheatgrass (Agropyron cristatum L. Gaertn.)
The results indicate that incorporating advanced computational methods into forage breeding programs can speed genetic progress while safeguarding sustainability in stress-prone agroecosystems and offer a robust, transparent, and reproducible means of evaluating multiple traits in genotype selection.
S. Ünal, Berna Efe, Z. Mutlu et al.
· Genetic Resources and Crop E... · 0 citations