Publications by authors named "David Lopez-Carbonell"

Genetic trends are a valuable tool for analysing the efficiency of breeding programs. They are calculated by averaging the predicted breeding values for all individuals born within a specific time period. Moreover, partitioned genetic trends allow dissecting the contributions of several selection paths to overall genetic progress.

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Background: Recursive models are a category of structural equation models that propose a causal relationship between traits. These models are more parameterized than multiple trait models, and they require imposing restrictions on the parameter space to ensure statistical identification. Nevertheless, in certain situations, the likelihood of recursive models and multiple trait models are equivalent.

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Inbreeding depression is expected to be more pronounced in fitness-related traits, such as pig litter size. Recent studies have suggested that the genetic determinism of inbreeding depression may be heterogeneous across the genome. Therefore, the objective of this study was to conduct a genomic scan of the whole pig autosomal genome to detect the genomic regions that control inbreeding depression for litter size in two varieties of Iberian pigs (Entrepelado and Retinto).

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Crossbreeding plays a pivotal role within pig breeding programmes, aiming to maximize heterosis and improve reproductive traits in crossbred maternal lines. Nevertheless, there is evidence indicating that the performance of reciprocal crosses between two genetic lines might exhibit variability. These variations in performance can be attributed to differences in the correlations between gametic effects, acting as either sire or dam, within purebred and crossbred populations.

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Article Synopsis
  • * Research indicated that there are differences in litter size due to genomic imprinting and suggests the need for a multivariate gametic model to analyze paternal and maternal genetic influences in reciprocal crosses.
  • * Results from the analysis of gametic correlations revealed significant differences between the Retinto and Entrepelado populations, with higher positive correlations in Retinto, which may explain the varying performance of the hybrids from the two genetic backgrounds.
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Article Synopsis
  • The study focuses on the Rubia Gallega cattle breeding scheme, which uses farm and slaughterhouse data along with genomic evaluation techniques to analyze genetic traits.
  • The researchers employed a single-step genomic method (ssGBLUP) to identify significant genomic regions linked to growth and carcass quality traits, using extensive data records for traits like birth weight and cold carcass weight.
  • They discovered several genomic regions associated with these traits, with some showing pleiotropic effects, implying that certain areas of the genome influence multiple traits simultaneously.
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