Made available in DSpace on 2021-06-25T10:50:16Z (GMT). No. of bitstreams: 0 Previous issue date: 2021-03-01; The objective of this study was to identify genomic regions associated with beef fatty acid (FA) profile in Nellore cattle finished in feedlot, using haplotype based analyzes. Also, the metabolic pathway enrichment analysis was performed to seek for genes with known functions, close to the haplotype blo...
Made available in DSpace on 2020-12-10T17:02:25Z (GMT). No. of bitstreams: 0 Previous issue date: 2019-11-01; Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP); The Montana Tropical (R) Composite beef cattle have been developed in Brazil to serve as a genetic resource to meet the consumers' needs for higher-quality meat while animals are raised in extensive production systems under tropical conditio...
Made available in DSpace on 2020-12-12T02:34:42Z (GMT). No. of bitstreams: 0 Previous issue date: 2020-03-01; Universidade Estadual Paulista; Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP); The search for candidate genes underlying the expression of principal components (PCs) for different traits is a useful tool that allows exploring biological mechanisms associated with the traits of interest. ...
Made available in DSpace on 2020-12-12T01:51:04Z (GMT). No. of bitstreams: 0 Previous issue date: 2020-09-01; Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP); The aim of this study was to evaluate the genomic predictions using the single-step genomic best linear unbiased predictor (ssGBLUP) method based on SNPs and haplotype markers associated with beef fatty acids (FAs) profile in Nelore cattle. ...
Objetivou-se com este trabalho apresentar uma metodologia de identificação e modelagem da autocorrelação residual considerando ajustes individuais do modelo de Wood às lactações de cabras leiteiras e também avaliar a influência de tal modelagem na qualidade do ajuste. O modelo de Wood foi ajustado individualmente às lactações, considerando três estruturas residuais. Na primeira, assumiu-se independência dos err...
Made available in DSpace on 2019-10-06T16:51:22Z (GMT). No. of bitstreams: 0 Previous issue date: 2018-11-01; Principal component analysis (PCA) is used to summarize important information from multivariate data in sets of new variables named principal components (PCs). In animal breeding, these new composite variables can be used to study the associations among multiple traits using the magnitude and direction ...
We aimed with this study to combine Legendre polynomials (LEG) and linear B-splines (BSP) to describe simultaneously the first and second lactation of Gyr dairy cattle under a multiple-trait random regression models (MTRRM) framework. Additionally we proposed the application of self-organizing map to define the classes of residual variances under these models. A total of 26,438 and 23,892 milk yield test-day re...