Multitrait, random regression, or simple repeatability model in high-throughput phenotyping data improve genomic prediction for wheat grain yield

Plant Genome

Volumn 10, Issue 2, 2017, Pages

  Sun, Jin ^a   Rutkoski, Jessica E ^a,b   Poland, Jesse A ^c   Crossa, José ^b   Jannink, Jean Luc ^a,d   Sorrells, Mark E ^a  

^a Cornell Univ ^*  (United States)

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

^c KANSAS STATE UNIVERSITY   (United States)

^d ROBERT W HOLLEY CENTER FOR AGRICULTURE AND HEALTH   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

BIOLOGICAL MODEL; GENETICS; GROWTH, DEVELOPMENT AND AGING; PHENOTYPE; PLANT GENOME; REPRODUCIBILITY; WHEAT;

GENOME, PLANT; MODELS, GENETIC; PHENOTYPE; REPRODUCIBILITY OF RESULTS; TRITICUM;

EID: 85024491435     PISSN: None     EISSN: 19403372     Source Type: Journal    
DOI: 10.3835/plantgenome2016.11.0111     Document Type: Article

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