Accuracy of genomic selection methods in a standard data set of loblolly pine (Pinus taeda L.)

Genetics

Volumn 190, Issue 4, 2012, Pages 1503-1510

  Resende, Jr ^a   Munoz P ^a   Resende, M D V ^b,c   Garrick, D J ^d   Fernando, R L ^d   Davis, J M ^a   Jokela, E J ^a   Martin, T A ^a   Peter, G F ^a   Kirst, M ^a  

^a UNIVERSITY OF FLORIDA   (United States)

^b EMBRAPA CERRADOS   (Brazil)

^c FEDERAL UNIVERSITY OF VIÇOSA   (Brazil)

^d IOWA STATE UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ACCURACY; ARTICLE; DEVELOPMENT; GENE; GENOME; GENOTYPE; GROWTH; HERITABILITY; HUMAN; LOBLOLLY PINE; NONHUMAN; PHENOTYPE; PREDICTION; PRIORITY JOURNAL; SINGLE NUCLEOTIDE POLYMORPHISM;

BASIDIOMYCOTA; BAYES THEOREM; DISEASE RESISTANCE; GENETIC MARKERS; GENOME, PLANT; GENOTYPE; GENOTYPING TECHNIQUES; LINEAR MODELS; PHENOTYPE; PINUS TAEDA; PLANT DISEASES; PLANT ROOTS; POLYMORPHISM, SINGLE NUCLEOTIDE; QUANTITATIVE TRAIT, HERITABLE;

PINUS TAEDA;

EID: 84859625578     PISSN: 00166731     EISSN: 19432631     Source Type: Journal    
DOI: 10.1534/genetics.111.137026     Document Type: Article

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