Cros D., Bocs S., Riou V., Ortega Abboud E., Tisne S., Argout X., Pomies V., Nodichao L., Lubis Z., Cochard B., Durand-Gasselin T.
2017
Background: There is great potential for the genetic improvement of oil palm yield. Traditional progeny tests allow accurate selection but limit the number of individuals evaluated. Genomic selection (GS) could overcome this constraint. We estimated the accuracy of GS prediction of seven oil yield components using A × B hybrid progeny tests with almost 500 crosses for training and 200 crosses for ...
Génétique et amélioration des plantes
2017
Background: There is great potential for the genetic improvement of oil palm yield. Traditional progeny tests allow accurate selection but limit the number of individuals evaluated. Genomic selection (GS) could overcome this constraint. We estimated the accuracy of GS prediction of seven oil yield components using A × B hybrid progeny tests with almost 500 crosses for training and 200 crosses for ...
Génétique et amélioration des plantes