Supervised independent component analysis as an alternative method for genomic selection in pigs

Author:

Azevedo C.F.1,Silva F.F.12,de Resende M.D.V.13,Lopes M.S.4,Duijvesteijn N.4,Guimarães S.E.F.2,Lopes P.S.2,Kelly M.J.5,Viana J.M.S.6,Knol E.F.4

Affiliation:

1. Departamento de Estatística; Universidade Federal de Viçosa; Viçosa Brazil

2. Departamento de Zootecnia; Universidade Federal de Viçosa; Viçosa Brazil

3. Embrapa Florestas; Departamento de Engenharia Florestal; Universidade Federal de Viçosa; Viçosa Brazil

4. TOPIGS Research Center IPG; Beuningen the Netherlands

5. Queensland Alliance for Agriculture & Food Innovation; The University of Queensland; St Lucia GLD Australia

6. Departamento de Biologia Geral; Universidade Federal de Viçosa; Viçosa Brazil

Publisher

Wiley

Subject

Animal Science and Zoology,Food Animals,General Medicine

Reference29 articles.

1. Independent component regression applied to genomic selection for carcass traits in pigs;Azevedo;Pesqui. Agropecu. Bras.,2013

2. Partial least squares: a versatile tool for the analysis of high-dimensional genomic data;Boulesteix;Brief. Bioinform.,2006

3. A comparison of partial least squares (PLS) and sparse PLS regressions in genomic selection in French dairy cattle;Colombani;J. Dairy Sci.,2012

4. A genome-wide association study on androstenone levels in pigs reveals a cluster of candidate genes on chromosome 6;Duijvesteijn;BMC Genet.,2010

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