Multivariate analysis

Factor analysis applied to genome prediction for high-dimensional phenotypes in pigs

F. R. F. Teixeira, Nascimento, M., Nascimento, A. C. C., Silva, F. Fe, Cruz, C. D., Azevedo, C. F., Paixão, D. M., Barroso, L. M. A., Verardo, L. L., de Resende, M. D. V., Guimarães, S. E. F., Lopes, P. S., Teixeira, F. R. F., Nascimento, M., Nascimento, A. C. C., Silva, F. Fe, Cruz, C. D., Azevedo, C. F., Paixão, D. M., Barroso, L. M. A., Verardo, L. L., de Resende, M. D. V., Guimarães, S. E. F., and Lopes, P. S., Factor analysis applied to genome prediction for high-dimensional phenotypes in pigs, vol. 15, p. -, 2016.

The aim of the present study was to propose and evaluate the use of factor analysis (FA) in obtaining latent variables (factors) that represent a set of pig traits simultaneously, for use in genome-wide selection (GWS) studies. We used crosses between outbred F2 populations of Brazilian Piau X commercial pigs. Data were obtained on 345 F2 pigs, genotyped for 237 SNPs, with 41 traits. FA allowed us to obtain four biologically interpretable factors: “weight”, “fat”, “loin”, and “performance”.

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