Genetic Parameters for Resistance to Non-specific Diseases and Production Traits Measured in Challenging and Selection Environments; Application to a Rabbit Case

Breeding for disease resistance is a challenging but increasingly necessary objective to overcome the issues with the reduced use of antibiotics and growing concern for animal welfare while limiting economic losses. However, implementing such strategies is a complex process because animals face nume...

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Main Authors: Mélanie Gunia, Ingrid David, Jacques Hurtaud, Mickaël Maupin, Hélène Gilbert, Hervé Garreau
Format: Article
Language:English
Published: Frontiers Media S.A. 2018-10-01
Series:Frontiers in Genetics
Subjects:
Online Access:https://www.frontiersin.org/article/10.3389/fgene.2018.00467/full
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author Mélanie Gunia
Ingrid David
Jacques Hurtaud
Mickaël Maupin
Hélène Gilbert
Hervé Garreau
author_facet Mélanie Gunia
Ingrid David
Jacques Hurtaud
Mickaël Maupin
Hélène Gilbert
Hervé Garreau
author_sort Mélanie Gunia
collection DOAJ
description Breeding for disease resistance is a challenging but increasingly necessary objective to overcome the issues with the reduced use of antibiotics and growing concern for animal welfare while limiting economic losses. However, implementing such strategies is a complex process because animals face numerous diseases, and the environments on selection farms differ from those on commercial farms. We evaluated whether selection for resistance to non-specific diseases based on a single visual record in selection (S) and challenging (Ch) environments is possible. Records from 23,773 purebred rabbits born between 2012 and 2016 were used in this study. After weaning (at 32 days of age), 17,712 rabbits were raised in the S environment and 6,061 sibs were raised in the Ch environment. Clinical signs of disease were recorded for all animals at the end of the test, at a single time point, at 70 or 80 days of age. The causes of mortality occurring before the end of the test were also recorded. Three disease traits were analyzed: signs of respiratory disease, signs of digestive disease, and a composite trait (Resist) taking into account signs of digestive, respiratory and various infectious diseases. This latter composite trait is proposed to capture the global resistance to disease. All disease traits were binary, with 0 being the absence of symptoms. Two production traits were also recorded: the number of kits born alive (4,121 litters) and the weaning weight (13,090 rabbits). Disease traits were analyzed with animal threshold models, assuming that traits are different in the two environments. Bivariate analyses were carried out using linear animal models. The heritabilities of the disease traits ranged from 0.04 ± 0.01 to 0.11 ± 0.03. The genetic correlations between disease traits in both environments were below unity (≤ 0.84), indicating genotype by environment interactions. Most of the genetic correlations between disease and production traits were not significantly different from zero, except between the weaning weight and Resist_S, with a favorable correlation of −0.34 ± 0.12. Given these genetic parameters, for the same level of exposure of rabbits to pathogens, the expected response to selection is a reduction of disease incidence of 4–6% per generation.
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spelling doaj.art-eedddc67395348008a7c2c72cfa99bf92022-12-22T02:28:18ZengFrontiers Media S.A.Frontiers in Genetics1664-80212018-10-01910.3389/fgene.2018.00467388677Genetic Parameters for Resistance to Non-specific Diseases and Production Traits Measured in Challenging and Selection Environments; Application to a Rabbit CaseMélanie Gunia0Ingrid David1Jacques Hurtaud2Mickaël Maupin3Hélène Gilbert4Hervé Garreau5GenPhySE, INRA, ENVT, Université de Toulouse, Castanet Tolosan, FranceGenPhySE, INRA, ENVT, Université de Toulouse, Castanet Tolosan, FranceHYPHARM SAS, La Corbière, Roussay, Sèvremoine, FranceHYPHARM SAS, La Corbière, Roussay, Sèvremoine, FranceGenPhySE, INRA, ENVT, Université de Toulouse, Castanet Tolosan, FranceGenPhySE, INRA, ENVT, Université de Toulouse, Castanet Tolosan, FranceBreeding for disease resistance is a challenging but increasingly necessary objective to overcome the issues with the reduced use of antibiotics and growing concern for animal welfare while limiting economic losses. However, implementing such strategies is a complex process because animals face numerous diseases, and the environments on selection farms differ from those on commercial farms. We evaluated whether selection for resistance to non-specific diseases based on a single visual record in selection (S) and challenging (Ch) environments is possible. Records from 23,773 purebred rabbits born between 2012 and 2016 were used in this study. After weaning (at 32 days of age), 17,712 rabbits were raised in the S environment and 6,061 sibs were raised in the Ch environment. Clinical signs of disease were recorded for all animals at the end of the test, at a single time point, at 70 or 80 days of age. The causes of mortality occurring before the end of the test were also recorded. Three disease traits were analyzed: signs of respiratory disease, signs of digestive disease, and a composite trait (Resist) taking into account signs of digestive, respiratory and various infectious diseases. This latter composite trait is proposed to capture the global resistance to disease. All disease traits were binary, with 0 being the absence of symptoms. Two production traits were also recorded: the number of kits born alive (4,121 litters) and the weaning weight (13,090 rabbits). Disease traits were analyzed with animal threshold models, assuming that traits are different in the two environments. Bivariate analyses were carried out using linear animal models. The heritabilities of the disease traits ranged from 0.04 ± 0.01 to 0.11 ± 0.03. The genetic correlations between disease traits in both environments were below unity (≤ 0.84), indicating genotype by environment interactions. Most of the genetic correlations between disease and production traits were not significantly different from zero, except between the weaning weight and Resist_S, with a favorable correlation of −0.34 ± 0.12. Given these genetic parameters, for the same level of exposure of rabbits to pathogens, the expected response to selection is a reduction of disease incidence of 4–6% per generation.https://www.frontiersin.org/article/10.3389/fgene.2018.00467/fullheritabilitygeneticsresistance to diseasefarmingrabbitgenetic parameters
spellingShingle Mélanie Gunia
Ingrid David
Jacques Hurtaud
Mickaël Maupin
Hélène Gilbert
Hervé Garreau
Genetic Parameters for Resistance to Non-specific Diseases and Production Traits Measured in Challenging and Selection Environments; Application to a Rabbit Case
Frontiers in Genetics
heritability
genetics
resistance to disease
farming
rabbit
genetic parameters
title Genetic Parameters for Resistance to Non-specific Diseases and Production Traits Measured in Challenging and Selection Environments; Application to a Rabbit Case
title_full Genetic Parameters for Resistance to Non-specific Diseases and Production Traits Measured in Challenging and Selection Environments; Application to a Rabbit Case
title_fullStr Genetic Parameters for Resistance to Non-specific Diseases and Production Traits Measured in Challenging and Selection Environments; Application to a Rabbit Case
title_full_unstemmed Genetic Parameters for Resistance to Non-specific Diseases and Production Traits Measured in Challenging and Selection Environments; Application to a Rabbit Case
title_short Genetic Parameters for Resistance to Non-specific Diseases and Production Traits Measured in Challenging and Selection Environments; Application to a Rabbit Case
title_sort genetic parameters for resistance to non specific diseases and production traits measured in challenging and selection environments application to a rabbit case
topic heritability
genetics
resistance to disease
farming
rabbit
genetic parameters
url https://www.frontiersin.org/article/10.3389/fgene.2018.00467/full
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