Porcine Reproductive and Respiratory Syndrome (PRRS) is, globally, one of the costliest of diseases to the pig industry. Despite enormous efforts, methods such as vaccination strategies and herd management have failed to fully control the disease. Exploiting the genetic variation in host response could be included as part of a multifaceted approach to mitigate the devastating impact of this disease. Establishing the presence of genetic variation and its underlying genetic architecture are key to implementing genomic selection, which is considered a viable and safe long-term disease control strategy. This thesis explores the effect of natural PRRSV outbreaks on the reproductive performance of sows, and the underlying genetic influences on it. Litter records were available from two farms, where Porcine Reproductive and Respiratory Syndrome Virus (PRRSV) outbreaks had been confirmed using ELISA. One farm had full pedigree information, but for both farms 60K SNP genotypes were available. In both farms, performance records could be partitioned into an epidemic and non-epidemic phase using a previously established threshold method. The partitioning also identified a period of high reproductive failure not coinciding with a diagnosed PRRSV outbreak on one farm. This period was isolated and analysed separately. Linear mixed models were used to explore both genetic and non-genetic factors contributing to differences in reproductive performance associated with the two phases. This analysis identified five disease indicator traits identified showing significant differences (>95% CI) in least squares means between the epidemic and non-epidemic phase. These were the number of mummified, stillborn, dead and alive piglets per litter and the fraction of the total born dead. Alternative statistical models that accounted for differences in the severity of the individual PRRSV outbreaks were also considered throughout. Despite differences in the estimates associated with different models and farms, in general very low heritability estimates were obtained for these disease indicator traits during the non-epidemic phase, whereas the traits were found moderately heritable during the epidemic phase. Two genome wide association analyses methods were used to explore the distribution of the genetic effects throughout the genome: Family-based Score Test for Association (FASTA) and Genome-wide Rapid Analysis using Mixed Model and Regression (GRAMMAR). In addition, regional associations were studied using Regional Heritability Mapping (RHM). Associations were then further characterised using Measured Genotype (MG) analyses. Genome-wide significant associations were identified for five SNPs and one region. The regional association spans the region previously identified in an experimental challenge experiment of growing pigs, in association with viral load and weight gain. Different patterns of linkage disequilibrium (LD) are observed which may explain why this study and others failed to find single SNP effects at this location. One genome wide significant SNP on SSC15 was found between two previously identified SNPs associated with PRRSV mortality. Five further putative SNP associations are indicated by RHM and subsequent measured genotype analysis, two of which flank previously reported associations and indicate an epistatic effect, observed in several traits. In summary, this study showed that reproductive performance of sow is considerably reduced during PRRSV outbreaks and the genetics of the sow significantly affects variance in survival and mortality. Several novel genomic regions associated with the reproductive performance of sows in the absence and during PRRSV outbreaks have been identified in this study. In addition to these, the results suggest the region on SSC4 previously associated with PRRSV viral load and weight gain may also affect foetal mortality. These results demonstrate the potential for genomic selection to be used to mitigate PRRSV related reproductive losses, the greatest financial exposure faced by the pig industry. In addition, RHM is directly shown to capture genetic variance, where single SNP methods fail to identify an effect, highlighting the usefulness of this tool as a method to identify genomic regions with significant effect on production traits.

Des progrès importants ont été obtenus dans les principales populations porcines pour les caractères inclus dans l'objectif de reproduction, à savoir la croissance, l'efficacité alimentaire, la composition de la carcasse et, dans les lignées maternelles, la prolificité des truies. Les animaux sélectionnés pour une forte efficacité productive peuvent être particulièrement sensibles à des problèmes comportementaux, physiologiques ou immunologiques, c'est-à-dire être moins robustes. Ces effets défavorables de la sélection sont souvent difficiles à mettre en évidence, car les caractères correspondants ne sont pas systématiquement enregistrés dans les programmes de sélection. L'utilisation d’un stock de sperme congelé est une méthode élégante pour estimer les évolutions génétiques pour un grand nombre de caractères (habituellement non enregistrés). Deux groupes expérimentaux (L77 et L98) ont été produits par l'insémination de truies LW, nées en 1997-1998, soit avec du sperme congelé stocké à partir des verrats LW de 1977, soit avec du sperme frais de verrats nés en 1998. Cette étude a montré que deux décennies de sélection ont permis des progrès importants pour les principaux caractères d'intérêt, mais ont également affecté de façon défavorable des caractères tels que la longévité, le risque de mortalité, la variabilité de caractères, qui suggèrent un effet défavorable de la sélection sur la robustesse des porcs. Nos résultats soulignent la nécessité d'intégrer des caractères liés à la robustesse dans l'objectif de sélection des populations porcines. Il est donc nécessaire de poursuivre les recherches afin de mieux caractériser les différentes composantes de la robustesse et leur impact sur l’efficience, le bien-être et la santé des porcs afin de pouvoir définir les objectifs de sélection les plus pertinents pour l’avenir. / Large improvements have been obtained in major pig populations for traits included in the breeding goal, i.e. growth, feed efficiency, carcass composition and, in maternal lines, sow prolificacy. Animals selected for high production efficiency may in particular be more sensitive to behavioral, physiological, or immunological problems, I.e., be less robust. These adverse effects of selection are often difficult to reveal, as corresponding traits are not routinely recorded in breeding programs. The use of stored frozen semen has been shown to be an elegant method to estimate genetic trends for a large number of (usually not recorded) traits. Two experimental groups (L77 and L98) were produced by inseminating French Large White (LW) sows born in 1997-1998 with either stored frozen semen from the above-mentioned 1977 LW boars or with fresh semen from LW boars born in 1998. This study has shown that 2 decades of selection have resulted in large gains for major traits of interest, but have also adversely affected traits such as longevity, risk of mortality, trait variability, which tend to indicate an unfavorable effect of selection on pig robustness. Our results stress the necessity to integrate robustness related traits in the breeding goal of pig populations. Thus, further research is needed to better characterize the different components of robustness and their impact on pig efficiency, welfare and health to be able to define the most relevant breeding objectives for the future.