Genomic prediction offers the most effective marker assisted breeding approach for ability to prevent arsenic accumulation in rice grains
Julien Frouin, Axel Labeyrie, Arnaud Boisnard, Gian Attilio Sacchi, Nourollah Ahmadi
This study compares genomic selection and QTL-based breeding for reducing arsenic accumulation in rice, finding genomic prediction more effective for genetic gain.
PLoS ONE · Jun 13, 2019Peer-reviewedGenetics