Nonparametric Method for Genomics-Based Prediction of Performance of Quantitative Traits Involving Epistasis in Plant Breeding

PLoS ONE

Volumn 7, Issue 11, 2012, Pages

  Sun, Xiaochun ^a,b   Ma, Ping ^a   Mumm, Rita H ^a  

^a UNIVERSITY OF ILLINOIS AT URBANA CHAMPAIGN   (United States)

^b DOW AGROSCIENCES LLC   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ARTICLE; GENE DOSAGE; GENE MAPPING; GENETIC EPISTASIS; GENETIC MARKER; GENOMICS; GENOTYPE PHENOTYPE CORRELATION; KERNEL METHOD; MATHEMATICAL COMPUTING; NONPARAMETRIC TEST; PLANT BREEDING; PRINCIPAL COMPONENT ANALYSIS; QUANTITATIVE TRAIT; REPRODUCING KERNEL HILBERT SPACE REGRESSION; SIMULATION;

ANALYSIS OF VARIANCE; BREEDING; EPISTASIS, GENETIC; GENETIC MARKERS; GENOMICS; PHENOTYPE; PLANTS; PRINCIPAL COMPONENT ANALYSIS; QUANTITATIVE TRAIT LOCI; REPRODUCIBILITY OF RESULTS; STATISTICS, NONPARAMETRIC;

EID: 84870596541     PISSN: None     EISSN: 19326203     Source Type: Journal    
DOI: 10.1371/journal.pone.0050604     Document Type: Article

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