Phenomics-based selection uses data from near-infrared spectroscopy (NIRS) to predict traits measured in the field or quality laboratory, in a manner similar to genomic selection. The LSA (State Plant Breeding Institute) has already demonstrated the high potential of this method in soybean and triticale.

In this project, the goal is to evaluate the accuracy and stability of NIRS-based predictions over multiple years and breeding cycles using data from existing durum wheat breeding programs. Various calibration dataset designs and breeding scheme optimizations will be considered. If the evaluation is positive, phenomic selection will be fully integrated into the existing breeding programs.

For common wheat, by contrast, genomic selection will be developed for the breeding program. In addition, the proportion of genetic resources present in new breeding lines will be determined based on genetic markers. To achieve this, different models will be established and compared.