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Supervised independent component analysis as an alternative method for genomic ...

Azevedo, C.F.; Silva, F.F.; Resende, M.D.V. de; Lopes, M.S.; Duijvesteijn, N.; Guimarães, S.E.F.; Lopes, P.S.; Kelly, M.J.; Viana, J.M.S.; Knol, E.F.

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 ...

Data: 2018   |   Origem: Oasisbr

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

Teixeira, F.R.F.; Nascimento, M.; Nascimento, A.C.C.; Silva, F.F. e; Cruz, C.D.; Azevedo, C.F.; Paixão, D.M.; Barroso, L.M.A.; Verardo, L.L.

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 genomewide 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...

Data: 2017   |   Origem: Oasisbr

Genetic evaluation using multi-trait and random regression models in Simmental ...

Mota, R.R.; Marques, L.F.A.; Lopes, P.S.; Silva, L.P. da; A. Neto, F.R.; Resende, M.D.V. de; Torres, R.A.

The Brazilian Association of Simmental and Simbrasil Cattle Farmers provided 29,510 records from 10,659 Simmental beef cattle; these were used to estimate (co)variance components and genetic parameters for weights in the growth trajectory, based on multi-trait (MTM) and random regression models (RRM). The (co)variance components and genetic parameters were estimated by restricted maximum likelihood. In the MTM ...

Data: 2017   |   Origem: Oasisbr

Genome wide selection in Citrus breeding

Gois, I.B.; Borém, A.; Cristofani-Yaly, M.; Resende, M.D.V. de; Azevedo, C.F.; Bastianel, M.; Novelli, V.M.; Machado, M.A.

Genome wide selection (GWS) is essential for the genetic improvement of perennial species such as Citrus because of its ability to increase gain per unit time and to enable the efficient selection of characteristics with low heritability. This study assessed GWS efficiency in a population of Citrus and compared it with selection based on phenotypic data. A total of 180 individual trees from a cross between Pera...

Data: 2017   |   Origem: Oasisbr

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