Combining high-throughput phenotyping and genomic information to increase prediction and selection accuracy in wheat breeding

Plant Genome

Volumn 11, Issue 1, 2018, Pages

  Crain, Jared ^a   Mondal, Suchismita ^b   Rutkoski, Jessica ^c   Singh, Ravi P ^b   Poland, Jesse ^a  

^a KANSAS STATE UNIVERSITY   (United States)

^b INTERNATIONAL MAIZE AND WHEAT IMPROVEMENT CENTER CIMMYT   (Mexico)

^c INTERNATIONAL RICE RESEARCH INSTITUTE   (Philippines)

Author keywords

[No Author keywords available]

Indexed keywords

BIOLOGICAL MODEL; GENETIC SELECTION; GENETICS; HIGH THROUGHPUT SCREENING; MEXICO; PHENOTYPE; PLANT BREEDING; PLANT GENOME; PROCEDURES; WHEAT;

GENOME, PLANT; HIGH-THROUGHPUT SCREENING ASSAYS; MEXICO; MODELS, BIOLOGICAL; PHENOTYPE; PLANT BREEDING; SELECTION, GENETIC; TRITICUM;

EID: 85043758936     PISSN: None     EISSN: 19403372     Source Type: Journal    
DOI: 10.3835/plantgenome2017.05.0043     Document Type: Article

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