Towards the quantitative characterisation of piglets’ robustness to weaning: a modelling approach

Autor: Revilla, Manuel, Friggens, Nicolas, Broudiscou, Laurent, Lemonnier, Gaetan, Blanc, Fany, Ravon, Laure, Mercat, M. J., Billon, Yvon, Rogel Gaillard, Claire, Le Floc'h, Nathalie, Estellé, Jordi, Muñoz-Tamayo, Rafael
Přispěvatelé: Génétique Animale et Biologie Intégrative (GABI), Institut National de la Recherche Agronomique (INRA)-AgroParisTech, Modélisation Systémique Appliquée aux Ruminants (MoSAR), UE 1372 Génétique, Expérimentation et Système Innovants, Institut National de la Recherche Agronomique (INRA)-Génétique animale (G.A.)-Physiologie Animale et Systèmes d'Elevage (PHASE), Institut National de la Recherche Agronomique (INRA)-Génétique, Expérimentation et Système Innovants (GenESI), Institut du porc and Alliance R&D, Institut du Porc, Physiologie, Environnement et Génétique pour l'Animal et les Systèmes d'Elevage [Rennes] (PEGASE), Institut National de la Recherche Agronomique (INRA)-AGROCAMPUS OUEST, AGROCAMPUS OUEST-Institut National de la Recherche Agronomique (INRA), Génétique, Expérimentation et Système Innovants (GenESI), Institut National de la Recherche Agronomique (INRA), Institut du Porc (IFIP), AGROCAMPUS OUEST, Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Institut National de la Recherche Agronomique (INRA), AgroParisTech-Institut National de la Recherche Agronomique (INRA), Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)
Jazyk: angličtina
Rok vydání: 2019
Předmět:
Zdroj: animal
animal, Cambridge University Press (CUP), 2019, First view, pp.1-11. ⟨10.1017/S1751731119000843⟩
Animal
Animal, Published by Elsevier (since 2021) / Cambridge University Press (until 2020), 2019, First view (11), pp.1-11. ⟨10.1017/S1751731119000843⟩
Animal, Vol 13, Iss 11, Pp 2536-2546 (2019)
animal, Published by Elsevier (since 2021) / Cambridge University Press (until 2020), 2019, First view (11), pp.1-11. ⟨10.1017/S1751731119000843⟩
Animal 11 (13), 2536-2546. (2019)
ISSN: 1751-7311
1751-732X
DOI: 10.1017/S1751731119000843⟩
Popis: Lien vers la version preprint déposée sur Biorxiv.org https://prodinra.inra.fr/record/447811; Weaning is a critical transition phase in swine production in which piglets must cope with different stressors that may affect their health. During this period, the prophylactic use of antibiotics is still frequent to limit piglet morbidity, which raises both economic and public health concerns such as the appearance of antimicrobial-resistant microbes. With the interest of developing tools for assisting health and management decisions around weaning, it is key to provide robustness indexes that inform on the animals’ capacity to endure the challenges associated with weaning. This work aimed at developing a modelling approach for facilitating the quantification of piglet resilience to weaning. A total of 325 Large White pigs weaned at 28 days of age were monitored and further housed and fed conventionally during the post-weaning period without antibiotic administration. Body weight and diarrhoea scores were recorded before and after weaning, and blood was sampled at weaning and 1 week later for collecting haematological data. A dynamic model was constructed based on the Gompertz–Makeham law to describe live weight trajectories during the first 75 days after weaning, following the rationale that the animal response is partitioned in two time windows (a perturbation and a recovery window). Model calibration was performed for each animal. Our results show that the transition time between the two time windows, as well as the weight trajectories are characteristic for each individual. The model captured the weight dynamics of animals at different degrees of perturbation, with an average coefficient of determination of 0.99, and a concordance correlation coefficient of 0.99. The utility of the model is that it provides biologically meaningful parameters that inform on the amplitude and length of perturbation, and the rate of animal recovery. Our rationale is that the dynamics of weight inform on the capability of the animal to cope with the weaning disturbance. Indeed, there were significant correlations between model parameters and individual diarrhoea scores and haematological traits. Overall, the parameters of our model can be useful for constructing weaning robustness indexes by using exclusively the growth curves. We foresee that this modelling approach will provide a step forward in the quantitative characterisation of robustness.
Databáze: OpenAIRE
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