In causal relationship studies, the latent variables may summarize the phenotypes in theoretical traits according to their phenotypic correlations, improving the understanding of causal relationships between broilers phenotypes. In this study, we aimed to investigate potential causal relationships among latent variables in broilers using a structural equation model in the context of genetic analysis. The data used in this study comprised 14 traits in broilers with 2,017 records each, and 104,154 animals in pedigree.
View Article and Find Full Text PDFBiological information regarding markers and gene association may be used to attribute different weights for single nucleotide polymorphism (SNP) in genome-wide selection. Therefore, we aimed to evaluate the predictive ability and the bias of genomic prediction using models that allow SNP weighting in the genomic relationship matrix (G) building, with and without incorporating biological information to obtain the weights. Firstly, we performed a genome-wide association studies (GWAS) in data set containing single- (SL) or a multi-line (ML) pig population for androstenone, skatole and indole levels.
View Article and Find Full Text PDFComprehending mechanisms controlling corpus luteum (CL) angiogenesis and apoptosis in pregnant sows is essential to understand the physiological role of these processes in CL function, progesterone production and consequently in conceptus development and prenatal mortality. CL from 54 sows from two genetic groups, a commercial line (COM) and the local Piau breed (LPB), were obtained for gene expression (n = 3 COM; n = 6 LPB), histological and protein analysis (n = 3 COM; n = 3 LPB), divided in six gestational ages (seven, 15, 30, 45, 60 and 90 days). We observed differences between gestational ages in CL morphology, in which the average number of blood vessels/capillaries at 90-days was greater than at the seventh day by Tukey test.
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