Predicting genomic selection efficiency to optimize calibration set and to assess prediction accuracy in highly structured populations

Por Rincent, R., Charcosset, A., Moreau, L.
Publicado no Theor Appl Genet (2017)

Optimization of multi-environment trials for genomic selection based on crop models

Por Rincent, R., Kuhn, E., Monod, H., Oury, F.-X., Rousset, M., Allard, V., Le Gouis, J.
Publicado no Theor Appl Genet (2017)

Maximizing the Reliability of Genomic Selection by Optimizing the Calibration Set of Reference Individuals: Comparison of Methods in Two Diverse Groups of Maize Inbreds (Zea mays L...

Por Rincent, R., Laloë, D., Nicolas, S., Altmann, T., Brunel, D., Revilla, P., Rodríguez, V.M., Moreno-Gonzalez, J., Melchinger, A., Bauer, E., Schoen, C-C., Meyer, N., Giauffret, C., Bauland, C., Jamin, P., Laborde, J., Monod, H., Flament, P., Charcosset, A., Moreau, L.
Publicado em 2012