2013
DOI: 10.1590/s0100-204x2013000600007
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Abstract: Resumo -O objetivo deste trabalho foi avaliar a eficiência do método de regressão via componentes independentes (ICR) na estimação de valores genéticos genômicos e dos efeitos de marcadores SNP para características de carcaça de uma população F 2 de suínos (Piau x linhagem comercial). Os métodos foram avaliados por meio da concordância entre os valores genéticos preditos e os fenótipos corrigidos, observados por validação cruzada, e também foram comparados com outros métodos geralmente utilizados para os mesmo… Show more

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Cited by 13 publications
(12 citation statements)
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“…Azevedo et al (2013a) studied the performance of multivariate and univariate approaches of the PLS method, but the results disagreed with the values obtained in our study, where MPLS outperformed UPLS considerably. Azevedo et al (2013b) compared the PLS, PCR, and ICR methods and reported results of lower accuracy, from 0.01 to 0.51, compared to those found in this study. Azevedo et al (2014) compared the same methods of dimensional reduction beyond their supervised approaches (selection of covariates), showing different results to those reported in this study, where PLS had low performance compared to PCR and ICR.…”
Section: Discussioncontrasting
confidence: 54%
See 1 more Smart Citation
“…Azevedo et al (2013a) studied the performance of multivariate and univariate approaches of the PLS method, but the results disagreed with the values obtained in our study, where MPLS outperformed UPLS considerably. Azevedo et al (2013b) compared the PLS, PCR, and ICR methods and reported results of lower accuracy, from 0.01 to 0.51, compared to those found in this study. Azevedo et al (2014) compared the same methods of dimensional reduction beyond their supervised approaches (selection of covariates), showing different results to those reported in this study, where PLS had low performance compared to PCR and ICR.…”
Section: Discussioncontrasting
confidence: 54%
“…Colombani et al (2012) used PLS and sparse PLS for predicting GEBV of French Holstein bulls. Recently, Azevedo et al (2013b) proposed an ICR for the estimation of genomic values and of SNP marker effects for carcass traits in an F 2 pig population (Piau x commercial line). Although the literature present several comparisons between these methodologies (Moser et al, 2009;Colombani et al, 2012;Azevedo et al, 2013a,b), there are no comparisons that include independent, partial, and principal component methodologies in the same study.…”
Section: Introductionmentioning
confidence: 99%
“…Figure 1 shows that the best methodology was BLASSO, and that the second factor, "fat", showed the most accurate value (0.56) of all four factors. Given the higher accuracy, and its practical relevance for the pig industry (Silva et al, 2011;Paixão et al, 2012;Azevedo et al, 2013aAzevedo et al, , 2015, only the second factor ("fat") will be discussed. The results for the other factors showed the same pattern, and are available at http:// www.det.ufv.br/~moyses/links.php.…”
Section: Resultsmentioning
confidence: 99%
“…The F2 pig population was divided into three distinct populations (folds), in which two of these folds were used to estimate the effects, and the third for validation, as described by Azevedo et al (2013a).…”
Section: Genetic Parameters and Cross-validationmentioning
confidence: 99%
“…The dimensionality reduction for the model fit is a recurring theme in several studies aimed at genomic prediction of genetic values [6,12,20,21]. However, it is worth noting that there is a difference between two approaches usually considered as dimensionality reduction ones.…”
Section: Discussionmentioning
confidence: 99%