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Artículo

Conditioning on the causal network prevents indirect response to selection

Bonamy, MartinIcon ; Fernandez, María ElenaIcon ; Giovambattista, GuillermoIcon ; Munilla Leguizamon, SebastianIcon
Fecha de publicación: 09/2023
Editorial: Wiley Blackwell Publishing, Inc
Revista: Journal Of Animal Breeding And Genetics-zeitschrift Fur Tierzuchtung Und Zuchtungsbiologie
ISSN: 0931-2668
Idioma: Inglés
Tipo de recurso: Artículo publicado
Clasificación temática:
Ganadería

Resumen

Multiple trait animal models (MTM) allow to estimate the breeding values (BV)of several traits simultaneously while accounting for genetic and environmental correlations among them. However, relationships among traits may not be reciprocalbut rather causal in nature. In these cases, and given a causal network, structural equations models (SEM) arise as a more appropriate methodology. Although MTM and SEM have been shown to be parametrically equivalent, the estimated breeding value (EBV) obtained from either one or the other should be interpreted differently. In this study, we investigated the impact of using these estimates on the response to selection for a causal network comprising five different traits through a stochastic simulation experiment. Three different selection targets were assayed, involving traits located upstream, midstream and downstream this causal network. We first considered the case in which traits were causally related but not genetically correlated. The current results support ourhypothesis that MTM will absorb causal relationships as genetic correlations and, consequently, change the response to selection achieved as compared with SEM. We found no differences on the response to selection when the target trait was located at the top of the causal network, but noticeable differences were detected onupstream traits when selection pressure was placed on midstream or downstream traits. We also assayed a scenario in which causal effects and genetic correlations act simultaneously and found that selection based on BVs estimated using SEM diminished the indirect response in traits upstream the causal network.
Palabras clave: BREEDING VALUE ESTIMATION , CAUSAL COEFFICIENT , MULTIPLE TRAIT MODEL , STRUCUTRAL EQUATION MODEL
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info:eu-repo/semantics/restrictedAccess Excepto donde se diga explícitamente, este item se publica bajo la siguiente descripción: Creative Commons Attribution-NonCommercial-ShareAlike 2.5 Unported (CC BY-NC-SA 2.5)
Identificadores
URI: http://hdl.handle.net/11336/253616
URL: https://onlinelibrary.wiley.com/doi/10.1111/jbg.12824
DOI: http://dx.doi.org/10.1111/jbg.12824
Colecciones
Articulos(IGEVET)
Articulos de INST.DE GENETICA VET ING FERNANDO NOEL DULOUT
Articulos(INPA)
Articulos de UNIDAD EJECUTORA DE INVESTIGACIONES EN PRODUCCION ANIMAL
Citación
Bonamy, Martin; Fernandez, María Elena; Giovambattista, Guillermo; Munilla Leguizamon, Sebastian; Conditioning on the causal network prevents indirect response to selection; Wiley Blackwell Publishing, Inc; Journal Of Animal Breeding And Genetics-zeitschrift Fur Tierzuchtung Und Zuchtungsbiologie; 141; 1; 9-2023; 42-51
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