title: Supervised independent component analysis as an alternative method for genomic selection in pigs.
abstract: The objective of this work was to evaluate the efficiency of the supervised independent component regression (SICR) method for the estimation of genomic values and the SNP marker effects for boar taint and carcass traits in pigs. The methods were evaluated via the agreement between the predicted genetic values and the corrected phenotypes observed by cross-validation. These values were also compared with other methods generally used for the same purposes, such as RR-BLUP, SPCR, SPLS, ICR, PCR and PLS. The SICR method was found to have the most accurate prediction values.
authors.affiliation: Departamento de Estatística, Universidade Federal de Viçosa, Viçosa, Brazil.
authors.forename: C F
authors.initials: CF
authors.lastname: Azevedo
authors.forename: F F
authors.initials: FF
authors.lastname: Silva
authors.forename: M D V
authors.initials: MD
authors.lastname: de Resende
authors.forename: M S
authors.initials: MS
authors.lastname: Lopes
authors.forename: N
authors.initials: N
authors.lastname: Duijvesteijn
authors.forename: S E F
authors.initials: SE
authors.lastname: Guimarães
authors.forename: P S
authors.initials: PS
authors.lastname: Lopes
authors.forename: M J
authors.initials: MJ
authors.lastname: Kelly
authors.forename: J M S
authors.initials: JM
authors.lastname: Viana
authors.forename: E F
authors.initials: EF
authors.lastname: Knol
mesh_terms: D000738:Androsterone / Q000378:metabolism; D000818:Animals; D050218:Body Fat Distribution; D001947:Breeding; D005838:Genotype; D060005:Genotyping Techniques; D010641:Phenotype; D020641:Polymorphism, Single Nucleotide; D025341:Principal Component Analysis; D012044:Regression Analysis; D012641:Selection, Genetic; D013552:Swine / Q000033:anatomy & histology / Q000235:genetics*
chemical_list: D000738:Androsterone
keywords: Accuracy; SNP; animal breeding; genomic selection