Accuracy of across-environment genome-wide prediction in maize nested association mapping populations

G3: Genes, Genomes, Genetics

Volumn 3, Issue 2, 2013, Pages 263-272

  Guo, Zhigang ^a   Tucker, Dominic M ^b   Wang, Daolong ^a   Basten, Christopher J ^a   Ersoz, Elhan ^b   Briggs, William H ^c   Lu, Jianwei ^a   Li, Min ^a   Gay, Gilles ^a  

^a SYNGENTA BIOTECHNOLOGY INC   (United States)

^b SYNGENTA CROP PROTECTION   (United States)

^c JEALOTT S HILL RESEARCH STATION   (United Kingdom)

Author keywords

Best linear unbiased prediction; Genetic correlation; GenPred; Maize; Ridge regression; Shared data resources

Indexed keywords

ARTICLE; CONTROLLED STUDY; EMPIRICISM; GENE MAPPING; GENETIC ASSOCIATION; GENETIC CORRELATION; GENOTYPE; HUMAN; LEAF STRUCTURE; MAIZE; MEASUREMENT ACCURACY; NONHUMAN; PHENOTYPE; PLANT BREEDING; POPULATION STRUCTURE; PREDICTION; QUANTITATIVE TRAIT LOCUS; BEST LINEAR UNBIASED PREDICTION; BIOLOGICAL MODEL; CHEMISTRY; CROSS BREEDING; GENETICS; GENPRED; METABOLISM; MULTIFACTORIAL INHERITANCE; PLANT GENOME; PLANT LEAF; RIDGE REGRESSION; SHARED DATA RESOURCES;

ZEA MAYS;

BEST LINEAR UNBIASED PREDICTION; GENETIC CORRELATION; GENPRED; MAIZE; RIDGE REGRESSION; SHARED DATA RESOURCES;

CROSSES, GENETIC; GENOME, PLANT; GENOTYPE; MODELS, BIOLOGICAL; MULTIFACTORIAL INHERITANCE; PHENOTYPE; PLANT LEAVES; QUANTITATIVE TRAIT LOCI; ZEA MAYS;

EID: 84883177408     PISSN: None     EISSN: 21601836     Source Type: Journal    
DOI: 10.1534/g3.112.005066     Document Type: Article

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