Ben Hassen M., Cao T.V., Bartholome J., Orasen G., Colombi C., Rakotomalala J., Razafinimpiasa L., Bertone C., Biselli C., Volante A., Desiderio F., Jacquin L., Vale G., Ahmadi N.
2017
So far, most potential applications of genomic prediction in plant improvement have been explored using cross validation approaches. This is the first empirical study to evaluate the accuracy of genomic prediction of the performances of progenies in a typical rice breeding program. Using a cross validation approach, we first analyzed the effects of marker selection and statistical methods on the ...
Génétique et amélioration des plantes
2017
So far, most potential applications of genomic prediction in plant improvement have been explored using cross validation approaches. This is the first empirical study to evaluate the accuracy of genomic prediction of the performances of progenies in a typical rice breeding program. Using a cross validation approach, we first analyzed the effects of marker selection and statistical methods on the ...
Génétique et amélioration des plantes