When more is better: how data sharing would accelerate genomic selection of crop plants

New Phytologist

Volumn 212, Issue 4, 2016, Pages 814-826

  Spindel, Jennifer E ^a   McCouch, Susan R ^b  

^a LAWRENCE BERKELEY NATIONAL LABORATORY   (United States)

^b Department of Obstetrics Gynecology   (United States)

Author keywords

genome editing; genomic selection; open access; open source breeding; rice

Indexed keywords

ACCESSIBILITY; AGRICULTURAL MODELING; CROP IMPROVEMENT; DATA MANAGEMENT; DATABASE; GENETIC ENGINEERING; GENOMICS; GLOBAL PERSPECTIVE; PHENOTYPE; PLANT BREEDING; PREDICTION; RICE; SELECTIVE BREEDING;

CROP; ENVIRONMENT; GENE EDITING; GENETICS; GENOMICS; GROWTH, DEVELOPMENT AND AGING; INBREEDING; INFORMATION DISSEMINATION; ORYZA; PROCEDURES; WHEAT;

CROPS, AGRICULTURAL; ENVIRONMENT; GENE EDITING; GENOMICS; INBREEDING; INFORMATION DISSEMINATION; ORYZA; TRITICUM;

EID: 84988835895     PISSN: 0028646X     EISSN: 14698137     Source Type: Journal    
DOI: 10.1111/nph.14174     Document Type: Article

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