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Diversity across major and candidate genes in European local pig breeds

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Maria Munoz et al., 2018, Plos One, 20 novembre, 30 pages

The aim of this work was to analyse the distribution of causal and candidate mutations associated to relevant productive traits in twenty local European pig breeds. Also, the potential of the SNP panel employed for elucidating the genetic structure and relationships among breeds was evaluated. Most relevant genes and mutations associated with pig morphological, productive, meat quality, reproductive and disease resistance traits were prioritized and analyzed in a maximum of 47 blood samples from each of the breeds (Alentejana, Apulo-Calabrese, Basque, Bísara, Majorcan Black, Black Slavonian (Crna slavonska), Casertana, Cinta Senese, Gascon, Iberian, Krškopolje (Krškopoljski), Lithuanian indigenous wattle, Lithuanian White Old Type, Mora Romagnola, Moravka, Nero Siciliano, Sarda, Schwäbisch-Hällisches Schwein (Swabian Hall pig), Swallow-Bellied Mangalitsa and Turopolje). We successfully analyzed allelic variation in 39 polymorphisms, located in 33 candidate genes. Results provide relevant information regarding genetic diversity and segregation of SNPs associated to production and quality traits. Coat color and morphological trait-genes that show low level of segregation, and fixed SNPs may be useful for traceability. On the other hand, we detected SNPs which may be useful for association studies as well as breeding programs. For instance, we observed predominance of alleles that might be unfavorable for disease resistance and boar taint in most breeds and segregation of many alleles involved in meat quality, fatness and growth traits. Overall, these findings provide a detailed catalogue of segregating candidate SNPs in 20 European local pig breeds that may be useful for traceability purposes, for association studies and for breeding schemes. Population genetic analyses based on these candidate genes are able to uncover some clues regarding the hidden genetic substructure of these populations, as the extreme genetic closeness between Iberian and Alentejana breeds and an uneven admixture of the breeds studied. The results are in agreement with available knowledge regarding breed history and management, although largest panels of neutral markers should be employed to get a deeper understanding of the population’s structure and relationships.

2018

Complete genome sequence of Salmonella enterica subsp. enterica Serotype Derby, associated with the pork sector in France

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Yann Sévellec et al., Microbiology Resource Announcements, volume 7, n° 12, septembre, 4 pages

In the European Union, Salmonella enterica subsp. enterica serovar Derby is the most abundant serotype isolated from pork. Recent studies have shown that this serotype is polyphyletic. However, one main genomic lineage, characterized by sequence type 40 (ST40), the presence of the Salmonella pathogenicity island 23, and showing resistance to streptomycin, sulphonamides, and tetracycline (STR-SSS-TET), is pork associated. Here, we describe the complete genome sequence of a strain from this lineage isolated in France.

2018

An online phenotype database: first step towards breeding programs in local pig breeds

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Marie-José Mercat et al., 69th Annual Meeting of the European Federation of Animal Science (EAAP), Dubrovnik, Croatie, le 27-31 août 2018, visuels d'intervention

In order to further allow implementation of breeding programs in local pig breeds, with selection objectives defined for each local breed, we aimed at developing a standardised recording of carcass and meat quality traits. These data have to be connected with herdbooks to estimate genetic parameters of the traits (heritabilities and genetic correlations) which are necessary to define breeding objectives. Today the situation is very different from one local breed to another. No or very few phenotypes are recorded in some of them, while breeding programs already exist for a few breeds. To promote phenotyping, a dedicated database and a website were developed in the frame of the TREASURE project. First, the required variables have been collected for six local breeds: Basque (FR), Bísaro (PT), Crna slavonska (HR), Gascon (FR), Krškopoljski (SI) and Schwäbisch-Hällisches (DE). In total 74 variables have been identified dealing with animal herdbook information (10), rearing and growth (22), carcass (22) and meat quality (20) attributes. The database is compatible with the various identifiers used in the different countries: animal IDs, breed, farm… codifications. Major attention has been paid to the description of measurement methods of traits. Thus, each carcass and meat quality phenotype is associated to a method description representing 35 additional variables. The website can be easily translated into several languages. The website and database are currently on test until the end of the TREASURE project. All the breeds studied in TREASURE are free to use these tools. The database can be duplicated so that each partner can host its own data. Funded by European Union H2020 RIA program (grant agreement no. 634476).

PDF icon Marie-José Mercat et al., 69th EAAP, Dubrovnik, Croatie, le 27-31 août 2018
2018

Immunome differences between porcine ileal and jejunal Peyer’s patches revealed by global transcriptome sequencing of gut-associated lymphoid tissues

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T. Maroilley et al., Scientific Reports, 2018, volume 8, n° 1, 13 juin, 12 pages

The epithelium of the intestinal mucosa and the gut-associated lymphoid tissues (GALT) constitute an essential physical and immunological barrier against pathogens. In order to study the specificities of the GALT transcriptome in pigs, we compared the transcriptome profiles of jejunal and ileal Peyer’s patches (PPs), mesenteric lymph nodes (MLNs) and peripheral blood (PB) of four male piglets by RNA-Seq. We identified 1,103 differentially expressed (DE) genes between ileal PPs (IPPs) and jejunal PPs (JPPs), and six times more DE genes between PPs and MLNs. The master regulator genes FOXP3GATA3STAT4TBX21 and RORC were less expressed in IPPs compared to JPPs, whereas the transcription factor BCL6 was found more expressed in IPPs. In comparison between IPPs and JPPs, our analyses revealed predominant differential expression related to the differentiation of T cells into Th1, Th2, Th17 and iTreg in JPPs. Our results were consistent with previous reports regarding a higher T/B cells ratio in JPPs compared to IPPs. We found antisense transcription for respectively 24%, 22% and 14% of the transcripts detected in MLNs, PPs and PB, and significant positive correlations between PB and GALT transcriptomes. Allele-specific expression analyses revealed both shared and tissue-specific cis-genetic control of gene expression.

2018

Using 1K SNP panel for genomic selection in 3 French pig breeds: Accuracy of Imputation and estimation of genomic breeding values using 1K SNP panel, designed for several breeds in French pig populations

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Céline Carillier-Jacquin (Université de Toulouse, INRA, INPTet ENVT)  et al., Proceedings of the World Congress on Genetics Applied to Livestock Production, vol. Electronic Poster Session - Species - Porcine 1, Auckland, Nouvelle-Zélande, 11–16 février 2018, p. 294-298

The current cost of medium density SNP chips is a limit to the development of genomic selection in pig populations (Badke et al., 2014; Wellmann et al., 2013). To reduce the cost of genotyping, a low density (LD) SNP chip was designed in 2016 and has been used in routine.
This LD panel of around 1100 SNP was optimized for imputation accuracy in the French Landrace (Land) pig population using equally spaced SNP with minor allele frequency (MAF) larger than 0.2. In the present study, we proposed to adapt the panel to two other major French pig breeds i.e. Large White (LW) and Pietrain (PI) lines. Imputation accuracy as well as the impact on genomic estimated breeding value (GEBV) were estimated in the three breeds using this new SNP chip design.

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2018

Evaluations génétiques et génomiques des populations porcines

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Sandrine Schwob, Alban Bouquet et Pauline Brehaut, bilan 2017, éditions IFIP, mai 2018, p. 53

Le travail de sélection a pour but d’améliorer le niveau moyen des performances des populations porcines sur des caractères d’intérêt économique pour l’ensemble de la filière porcine française. Ce travail d’amélioration génétique consiste à repérer les meilleurs individus d’une génération pour les garder comme reproducteurs. Pour cela, des modèles statistiques prédisent la valeur génétique (VG) des candidats à la sélection à partir de leurs performances propres et de celles de leurs apparentés et contemporains. Chaque semaine, cinq populations porcines (4 collectives : Large White lignée femelle, Landrace français, Piétrain et Large White lignée mâle, et 1 autonome : Duroc Axiom) sont évaluées et les VG sont transmises aux sélectionneurs, organismes de sélection porcine (OSP), groupements d’éleveurs et centres d’insémination animale (CIA).

PDF icon Sandrine Schwob, Alban Bouquet et Pauline Brehaut, bilan 2017, éditions IFIP, mai 2018, p. 53, fiche n° 24
2018

Building and evaluation of SNPs panels for parentage tests issue in swine

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World Congress on Genetics Applied to Livestock Production, Auckland, Nouvelle Zélande, 11-16 février 2018, posters, 3 parties, par G. Even et al.

Three SNPs panels have been defined for parentage testing in swine containing 100, 200 and 329 SNPs, respectively. Markers have been chosen from the Illumina 60K version 2 chip based on Minor Allele Frequencies (MAF) estimated on twelve breeds used in France. A validation test has been performed confronting products genotypes with those of their right parents or those of animals related or unrelated to their right parents.

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2018

Deciphering the genetic regulation of peripheral blood transcriptome in pigs through expression genome-wide association study and allele-specific expression analysis

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T. Maroilley et al., BMC Genomics, 2017, 13 décembre, volume 18, n° 1, 13 décembre,19 pages

Abstract

BACKGROUND:

Efforts to improve sustainability in livestock production systems have focused on two objectives: investigating the genetic control of immune function as it pertains to robustness and disease resistance, and finding predictive markers for use in breeding programs. In this context, the peripheral blood transcriptome represents an important source of biological information about an individual's health and immunological status, and has been proposed for use as an intermediate phenotype to measure immune capacity. The objective of this work was to study the genetic architecture of variation in gene expression in the blood of healthy young pigs using two approaches: an expression genome-wide association study (eGWAS) and allele-specific expression (ASE) analysis.

RESULTS:

The blood transcriptomes of 60-day-old Large White pigs were analyzed by expression microarrays for eGWAS (242 animals) and by RNA-Seq for ASE analysis (38 animals). Using eGWAS, the expression levels of 1901 genes were found to be associated with expression quantitative trait loci (eQTLs). We recovered 2839 local and 1752 distant associations (Single Nucleotide Polymorphism or SNP located less or more than 1 Mb from expression probe, respectively). ASE analyses confirmed the extensive cis-regulation of gene transcription in blood, and revealed allelic imbalance in 2286 SNPs, which affected 763 genes. eQTLs and ASE-genes were widely distributed on all chromosomes. By analyzing mutually overlapping eGWAS results, we were able to describe putative regulatory networks, which were further refined using ASE data. At the functional level, genes with genetically controlled expression that were detected by eGWAS and/or ASE analyses were significantly enriched in biological processes related to RNA processing and immune function. Indeed, numerous distant and local regulatory relationships were detected within the major histocompatibility complex region on chromosome 7, revealing ASE for most class I and II genes.

CONCLUSIONS:

This study represents, to the best of our knowledge, the first genome-wide map of the genetic control of gene expression in porcine peripheral blood. These results represent an interesting resource for the identification of genetic markers and blood biomarkers associated with variations in immunity traits in pigs, as well as any other complex traits for which blood is an appropriate surrogate tissue.

2017

Genomics to estimate additive and dominance genetic variances in purebred and crossbred pig traits

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L. Tusell et al. 68th Annual Meeting of the European Federation of Animal Science, Tallinn, Estonie, 28 août-01 septembre 2017, poster

ABSTRACT

This study aims at assessing the contribution of the additive and dominance genomic variances to the phenotype expression of several purebred Piétrain and crossbred (Piétrain x Large White) pig performances. A total of 636 purebred and 720 crossbred male piglets were phenotyped for 22 traits that can be classified into growth rate and feed efficiency, carcass composition, meat quality, behavior, boar taint and puberty groups of traits. Additive and dominance variances estimated in univariate genotypic models including additive and dominance genotypic effects and a genomic inbreeding covariate allowed us to retrieve the additive and dominance SNP variances for purebred and crossbred performances. These estimated variances were used, together with the allelic frequencies of the parental populations, to obtain additive and dominance variances in terms of genetic breeding values and dominance deviations. Estimates of additive genetic variances across traits were consistent with previous results without dominance indicating that additive and dominance genetic effects were non-confounded. Some traits showed relevant amount of dominance genetic variance in both populations (i.e. growth rate 8%, feed conversion ratio 9-12%, backfat thickness 14-12%, lean meat 10-8%, carcass lesions 9%, in purebreds and crossbreds, respectively) or increased amount in crossbreds (i.e. ham cut 8-13%, loin 7-16%, pH semimembranosus 13-18%, pH longissimus dorsi 9-14%, dressing yield 5-15%, androstenone 5-13% and estradiol 6-11%). Results suggest that accounting for dominance in the models of these traits could lead to an increased GEBV accuracy and that using crossbred information can be beneficial to evaluate purebred candidates to selection for crossbred performance. Further research will compare additive and dominance marker effects between crossbred and purebred performances. 

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2017

Estimación de la varianza aditiva y dominante en caracteres de cerdo medidos en población pura y cruzada usando G-GIBBS

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L. Tusell et al., XVII Jornadas sobre producción animal, AIDA-ITEA, Zaragoza, Espagne, 30-31 mai 2017, p. 450-452

La expresión fenotípica de ciertos caracteres de interés en producción puede estar influenciada por efectos genéticos no aditivos tales como la dominancia, responsable, en parte, de la heterosis existente dentro de línea y en cruzamiento. Incluir la dominancia en las evaluaciones genómicas de estos caracteres podría conllevar a un aumento en la precisión de la estima de los valores de cría a la vez que dar una idea del interés en utilizar informaciones de individuos cruzados para evaluar las líneas puras por su aptitud al cruzamiento. Este estudio tiene por objetivo estimar las contribuciones genéticas aditivas y de dominancia a la varianza fenotípica total de diversos caracteres de crecimiento y eficiencia alimentaria, composición de la canal, calidad de carne, comportamiento e indicadores de olor y madurez sexual medidos en cerdo de raza pura y en cruce.

ENG

Genomic estimation of dominance genetic variance in purebred and  crossbred pig performances

This study aims at assessing the contribution of the additive and dominance genomic variances to the phenotype expression of several purebred Piétrain and crossbred (Piétrain x Large White) pig performances. A total of 636 purebred and 720 crossbred male piglets were phenotyped for 22 traits that can be classified into growth rate and feed efficiency, carcass composition, meat quality, behavior, boar taint and puberty groups of traits. Additive and dominance variances estimated in univariate genotypic models including additive and dominance genotypic effects allowed us to retrieve the additive and dominance SNP variances. These ones were used, together with the allelic frequencies of the parental populations, to obtain additive and dominance variances in terms of genetic breeding values and dominance deviations. Some traits showed relevant amount of dominance genetic  variance in both populations (i.e. backfat thickness, pH) or increased amount in crossbreds (i.e. ham cut, loin and dressing yield) suggesting that accounting for dominance in the models of these traits could lead to an increased GEBV accuracy and that using crossbred information can be beneficial to evaluate purebred candidates to selection for crossbred performance.

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2017

Genome-wide association studies in purebred and crossbred entire male pigs

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Hélène Gilbert et al., 66th EAAP, 31 août- 04 septembre 2015, Varsovie, Pologne, session 45 : pigs genetics, visuel d'intervention

A total of 654 purebred Piétrain entire male pigs and 716 crossbred Piétrain × Large White entire male pigs issued from about 70 Piétrain sires were tested in a French test station for production traits (feed intake, feed efficiency, growth rate, carcass composition and meat quality). All were genotyped with the 60K Porcine SNPchip. Genome wide association studies were run using linear mixed models with a genomic kinship matrix to account for relatedness between individuals, and the fixed effect of each SNP was tested separately. In a first step, separate analyses of the two populations showed suggestive results (P<0.0001) for almost all traits in the two populations. For production traits, eight 1-Mb regions affected multiple correlated traits in the purebred pigs, and only one in the crossbred pigs. Only two regions with P<0.0001 were detected in common in purebred and crossbred individuals after correction for the halothane mutation, on SSC1 and SSC2. Breed differences in linkage disequilibrium between markers and causal variants, or different gene effects due to the purebred vs crossbred polygenic background could explain these discrepancies. Genotypes were phased and chromosome breed origins were identified in all progeny. Analyses were thus run to estimate within breed allelic effects in the crossbred population, and combining the two populations. After accounting for differences in allele frequencies in the two populations, only few SNP estimates showed significantly different allelic effects depending on the genetic background. If confirmed in a larger design, this suggests that genes affecting production traits act similarly in purebred and crossbred commercial pigs, as suggested by high genetic correlations between purebred and crossbred pigs for these traits.

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2017

Pedigree and genomic evaluation of pigs using a terminal cross model

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Tusell et al., 66th EAAP, Varsovie, Pologne, 31 aout-4 septembre 2015, visuels d'intervention

This study presents a single-step terminal-cross model (GEN) to estimate genetic parameters of growth rate and pH of longissimus dorsi in pigs. The model is compared in terms of parameter estimates and breeding value accuracies with a pedigree-based terminal-cross model (PED) and 2 univariate single-step models (GEN_UNI) for purebred (PB) and crossbred (CB) performance. Ninety Piétrain sires were mated with 306 Piétrain and 306 Large White dams leading a total of 654 PB and 716 CB male piglets. Sires and PB offspring were genotyped using the 60K SNP chip. PB and CB performances were jointly analyzed as 2 traits. The PB animals were accounted for through an animal model, whereas the additive genetic effect of a CB individual was decomposed into its sire and dam allelic contribution effects plus a Mendelian sampling confounded with the residual. Genetic correlation between the PB and the sire contribution for CB performance was estimated. The inverse of a matrix combining both genomic and pedigree relationship matrices was used in the mixed model equations for the Piétrain line as in a single-step procedure. The PED model was of the same form as GEN but accounted only for pedigree information. The GEN_UNI models contained same effects as the GEN model for either the PB or CB performance. (Co)variance components were estimated by Gibbs sampling. Genetic correlations [HPD95%] between PB and CB traits obtained with the GEN model were close to unity: 0.84 [0.45, 1.00] and 0.97 [0.83, 1.00] for growth rate and pH, respectively, suggesting that PB line selection is already successful to improve CB performance. Genotyped animals obtained higher breeding value accuracies with the GEN model than with the PED and GEN_UNI models. Accounting for PB and CB information together with genomic information improves the precision of the genetic evaluation in breeding programs based on crossbreeding.

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2017

Prédire la qualité des viandes : mythe ou réalité ?

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Cécile Berri et al., 16es Journées Sciences du Muscle et Technologies des Viandes, 21-22 novembre 2016, Paris, France, visuel d'intervention

Cette revue (voir Viandes & Produits carnés (FRA), novembre 2016,14 pages) a pour objectif de faire un point sur les avancées récentes obtenues dans le domaine de la prédiction de la qualité des viandes.

Elle aborde différentes démarches menées au sein des principales filières de production pour développer des équations puis des outils prédictifs basés sur différents types de marqueurs biologiques (génomiques ou phénotypiques) ou physiques (spectroscopiques). Au travers des différents exemples présentés, il apparaît que l’identification de marqueurs biologiques se confronte au déterminisme complexe des paramètres de qualité qui rend encore difficile la mise au point de tests moléculaires génériques utilisables sur le terrain. Toutefois, les avancées ont été notables ces dernières années bénéficiant des récents développements technologiques en génomique, protéomique et métabolomique. Les premières équations de prédiction de la qualité sensorielle et du potentiel technologique des viandes laissent entrevoir des possibilités d’applications dans les années à venir. Concernant la spectroscopie, les principaux résultats ont été obtenus dans le domaine de la Spectroscopie Proche Infrarouge (SPIR) avec des développements aboutis pour prédire la composition et la valeur nutritionnelle des viandes. La prédiction du potentiel technologique des viandes à l’aide de cette méthode et surtout de la qualité sensorielle est en revanche plus difficile. Enfin, l’exemple du modèle phénotypique MSA (« Meat Standards Australia ») de prévision de la qualité sensorielle de la viande bovine basée sur une combinaison de données d’amont et d’aval et dont la plus-value pour la filière a été démontrée en Australie, présente une généricité qui a déjà été éprouvée dans plusieurs pays.

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2017

Faire évoluer les outils de sélection pour préparer l'avenir

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Tech Porc (FRA), 2017, n° 34, mars-avril, p. 43-45, par Joël Bidanel

Les organismes de sélection vont toujours plus loin dans l'optimisation de leurs outils, à l'exemple de Nucléus, qui consolide sa pyramide de sélection en investissant dans un élevage de 170 truies Landrace. Les index génomiques ont permis de choisir les meilleurs reproducteurs issus de trois élevages d'un très haut statut sanitaire. Cet outil permettra de tester des nouvelles méthodes de sélection pour répondre aux attentes des éleveurs.

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2017

Nouvelles technologies : des perspectives très prometteuses pour la sélection

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Tech Porc (FRA), 2017, n° 34, mars-avril, p. 40-42, par Joël Bidanel et Marie-José Mercat

Les recherches en matière de génomique s'accélèrent. La connaissance précise du génome, de sa gouvernance et le développement de nouveaux outils laissent entrevoir une accélération du progrès génétique sur de nouveaux caractères.

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2017

Multi-varietal genomic selection in French pig populations

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visuel de Céline Carillier-Jacquin et al., 67e  EAAP, 31 août 2016, Belfast, Irlande du nord, session 35 : advances in genomic selection, theatre 13, 19 pages.

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2016

L’évaluation génomique dans un schéma de croisement terminal

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Tusell et al., 48es Journées de la Recherche Porcine (FRA), 2-3 février 2016, p. 289-290, poster

Poster

FR

L’intérêt d’utiliser le croisement est de bénéficier de la complémentarité entre les lignées parentales et des effets d’hétérosis au niveau des terminaux. Dans les schémas d’amélioration génétique, les individus des lignées parentales de race pure sont généralement sélectionnés sur des performances enregistrées sur des animaux de race pure, alors que la sélection vise à améliorer la performance des descendants croisés. Ainsi, l’amélioration génétique observée au niveau du noyau de sélection peut ne se retrouver que partiellement chez les descendants croisés élevés en conditions commerciales en raison de corrélations génétiques inférieures à 1 entre des phénotypes enregistrés sur les deux types d’animaux. Dans le contexte de la sélection génomique, il est opportun d'explorer les nouvelles possibilités offertes par le génotypage des animaux pour mieux prendre en compte les phénotypes d’animaux croisés pour sélectionner les animaux des lignées parentales. Dans cette étude, nous avons développé et testé un modèle en une seule étape (modèle SSt pour « single step ») (Aguilar et al., 2010) pour l'estimation des paramètres génétiques et des valeurs génétiques dans une population constituée d’animaux purs et d’animaux croisés apparentés.

ENG

Genomic evaluation of pigs using a terminal-cross model

In crossbreeding schemes, within-line selection of purebred lines mainly aims at improving performance of crossbred progeny in field conditions. The genetic correlation between purebred and crossbred performance is an important parameter to be assessed to ascertain that purebred performance is a good predictor of crossbred performance. With the availability of high density markers, feasibility of using crossbred information for evaluating purebred candidates can be reevaluated. This study implements and applies to real data a single-step terminal-cross model to estimate genetic parameters of several production traits in Pietrain and Pietrain x Large White pigs.
Piglets were recorded for growth rate between 35 and 110 kg. Animals were genotyped using the 60K SNP chip. For each trait, purebred and crossbred performances were jointly analyzed. The purebred animals were evaluated through an animal model, whereas the additive genetic effect of a crossbred individual was decomposed into its purebred sire and dam allelic contribution effects. Piétrain genotypes were introduced in genetic evaluation in a single-step procedure. The same model but only accounting for pedigree information was compared to the genomic model in terms of breeding value accuracies obtained from the mixed model equations.
Genetic correlation between purebreds and sire allelic contribution to crossbred performance was high (0.84 and 0.79 for the genomic and the pedigree model, respectively). Breeding value accuracies of the genotyped animals obtained with the genomic model outperformed the pedigree model.

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2016

Accuracy of genomic selection to improve litter traits in the French Landrace pig population

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Poster.

• To assess gains in accuracy due to integration of genomic information in genomic evaluations of pigs,
• Focus on litter traits and on the French Landrace dam line.

PDF icon poster ifip de Alain Bouquet et al., 67th EAAP Meeting, 29/08-02/09/2016, Belfast, Irlande, Royaume-Uni, session 67, poster 23
2016

Pedigree and genomic evaluation of pigs using a terminal-cross model

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In crossbreeding schemes, within-line selection of purebreds is performed mainly to improve the performance of crossbred descendants under field conditions. The genetic correlation between purebred and crossbred performance is an important parameter to be assessed because purebred performance can be a poor predictor of the performance of crossbred offspring. With the availability of high-density markers, the feasibility of using crossbred information to evaluate purebred candidates can be reassessed. This study implements and applies a single-step terminal-cross model (GEN) to real data to estimate the genetic parameters of several production and quality traits in pigs.

2016

Utilisation des informations génomiques des animaux croisés pour la sélection

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Fiche n° 058 : réduction des coûts d'élevage

Dans les schémas de sélection porcin et avicole, des animaux de race pure sont sélectionnés dans un environnement de haut niveau sanitaire dans
l’objectif de produire des terminaux croisés élevés dans un milieu de production moins favorable. Le projet UtOpIGe (2011-2015) avait pour objectif
de fournir les informations nécessaires à la mise en oeuvre d’une sélection génomique optimale dans ces deux espèces. Ce document se focalise sur les résultats obtenus sur le porc.

PDF icon fiche_bilan2015_058.pdf
2016

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