Methodologies for Assessing Disease Tolerance in Pigs

Autor: Dimitar Nakov, Emanuela Tullo, Branislav Stankovic, Thomas Bartzanas, Pierre Mormède, Slavcha Hristov, Ivan Dimitrov, Ingrid Danielle Ellen Van Dixhoorn, Julie Hervé, Tomas Norton, Elena Terenina, Vlatko Ilieski, Blandine Lieubeau, Deborah Piette, Dimitrios Papanastasiou, Françoise Pol
Přispěvatelé: Faculty of Agricultural Sciences and Food, University Ss., Faculty of Agriculture, United Graduate School of Agricultural Science, Université Bretagne-Loire, Agence nationale de sécurité sanitaire de l'alimentation, de l'environnement et du travail (ANSES), Department of Animal Breeding, Agricultural Institute, Faculty of Veterinary Medicine, University Ss., Génétique Physiologie et Systèmes d'Elevage (GenPhySE ), École nationale supérieure agronomique de Toulouse [ENSAT]-Institut National de la Recherche Agronomique (INRA)-Ecole Nationale Vétérinaire de Toulouse (ENVT), Institut National Polytechnique (Toulouse) (Toulouse INP), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-Institut National Polytechnique (Toulouse) (Toulouse INP), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées, Université Bretagne Loire (UBL), Centre for Research and Technology Hellas, Institute of Bio-Economy and Agri-Technology, Division M3-BIORES, Department of Environmental Science and Policy [Milano], Università degli Studi di Milano [Milano] (UNIMI), Wageningen UR Livestock Research, Institut National de la Recherche Agronomique (INRA)-Ecole Nationale Vétérinaire de Toulouse (ENVT), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-École nationale supérieure agronomique de Toulouse [ENSAT], Department of environmental Science and Policy
Rok vydání: 2019
Předmět:
Zdroj: Frontiers in Veterinary Science
Frontiers in Veterinary Science, Frontiers Media, 2019, 5, pp.Non Paginé. ⟨10.3389/fvets.2018.00329⟩
Frontiers in Veterinary Science, Vol 5 (2019)
Frontiers in Veterinary Science (5), Non Paginé. (2019)
Frontiers in Veterinary Science 5 (2019)
Frontiers in Veterinary Science, 5
ISSN: 2297-1769
DOI: 10.3389/fvets.2018.00329⟩
Popis: Features of intensive farming can seriously threaten pig homeostasis, well-being and productivity. Disease tolerance of an organism is the adaptive ability in preserving homeostasis and at the same time limiting the detrimental impact that infection can inflict on its health and performance without affecting pathogen burden per se. While disease resistance (DRs) can be assessed measuring appropriately the pathogen burden within the host, the tolerance cannot be quantified easily. Indeed, it requires the assessment of the changes in performance as well as the changes in pathogen burden. In this paper, special attention is given to criteria required to standardize methodologies for assessing disease tolerance (DT) in respect of infectious diseases in pigs. The concept is applied to different areas of expertise and specific examples are given. The basic physiological mechanisms of DT are reviewed. Disease tolerance pathways, genetics of the tolerance-related traits, stress and disease tolerance, and role of metabolic stress in DT are described. In addition, methodologies based on monitoring of growth and reproductive performance, welfare, emotional affective states, sickness behavior for assessment of disease tolerance, and methodologies based on the relationship between environmental challenges and disease tolerance are considered. Automated Precision Livestock Farming technologies available for monitoring performance, health and welfare-related measures in pig farms, and their limitations regarding DT in pigs are also presented. Since defining standardized methodologies for assessing DT is a serious challenge for biologists, animal scientists and veterinarians, this work should contribute to improvement of health, welfare and production in pigs. ispartof: FRONTIERS IN VETERINARY SCIENCE vol:5 issue:JAN ispartof: location:Switzerland status: published
Databáze: OpenAIRE