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1. The cost of host genetic resistance on body condition: Evidence from divergently selected sheep

Author

Frédéric Douhard, Andrea B. Doeschl‐Wilson, Alexander Corbishley, Adam D. Hayward, Didier Marcon, Jean‐Louis Weisbecker, Sophie Aguerre, Léa Bordes, Philippe Jacquiet, Tom N. McNeilly, Guillaume Sallé, and Carole Moreno‐Romieux

Subjects
host–parasite interaction, selection experiment, sheep, trade‐off, Evolution, QH359-425
Abstract

Abstract Trade‐offs between host resistance to parasites and host growth or reproduction can occur due to allocation of limited available resources between competing demands. To predict potential trade‐offs arising from genetic selection for host resistance, a better understanding of the associated nutritional costs is required. Here, we studied resistance costs by using sheep from lines divergently selected on their resistance to a common blood‐feeding gastro‐intestinal parasite (Haemonchus contortus). First, we assessed the effects of selection for high or low host resistance on condition traits (body weight, back fat, and muscle thickness) and infection traits (parasite fecal egg excretion and loss in blood haematocrit) at various life stages, in particular during the periparturient period when resource allocation to immunity may limit host resistance. Second, we analysed the condition–infection relationship to detect a possible trade‐off, in particular during the periparturient period. We experimentally infected young females in four stages over their first 2 years of life, including twice around parturition (at 1 year and at 2 years of age). Linear mixed‐model analyses revealed a large and consistent between‐line difference in infection traits during growth and outside of the periparturient period, whereas this difference was strongly attenuated during the periparturient period. Despite their different responses to infection, lines had similar body condition traits. Using covariance decomposition, we then found that the phenotypic relationship between infection and condition was dominated by direct infection costs arising from parasite development within the host. Accounting for these within‐individual effects, a cost of resistance on body weight was detected among ewes during their first reproduction. Although this cost and the reproductive constraint on resistance are unlikely to represent a major concern for animal breeding in nutrient‐rich environments, this study provides important new insights regarding the nutritional costs of parasite resistance at different lifestages and how these may affect response to selection.

Published
2022
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2. How much energetic trade‐offs limit selection? Insights from livestock and related laboratory model species

Author

Frédéric Douhard, Mathieu Douhard, Hélène Gilbert, Philippe Monget, Jean‐Michel Gaillard, and Jean‐François Lemaître

Subjects
livestock breeding, metabolic rate, pleiotropy, senescence, trade‐offs, Evolution, QH359-425
Abstract

Abstract Trade‐offs between life history traits are expected to occur due to the limited amount of resources that organisms can obtain and share among biological functions, but are of least concern for selection responses in nutrient‐rich or benign environments. In domestic animals, selection limits have not yet been reached despite strong selection for higher meat, milk or egg yields. Yet, negative genetic correlations between productivity traits and health or fertility traits have often been reported, supporting the view that trade‐offs do occur in the context of nonlimiting resources. The importance of allocation mechanisms in limiting genetic changes can thus be questioned when animals are mostly constrained by their time to acquire and process energy rather than by feed availability. Selection for high productivity traits early in life should promote a fast metabolism with less energy allocated to self‐maintenance (contributing to soma preservation and repair). Consequently, the capacity to breed shortly after an intensive period of production or to remain healthy should be compromised. We assessed those predictions in mammalian and avian livestock and related laboratory model species. First, we surveyed studies that compared energy allocation to maintenance between breeds or lines of contrasting productivity but found little support for the occurrence of an energy allocation trade‐off. Second, selection experiments for lower feed intake per unit of product (i.e. higher feed efficiency) generally resulted in reduced allocation to maintenance, but this did not entail fitness costs in terms of survival or future reproduction. These findings indicate that the consequences of a particular selection in domestic animals are much more difficult to predict than one could anticipate from the energy allocation framework alone. Future developments to predict the contribution of time constraints and trade‐offs to selection limits will be insightful to breed livestock in increasingly challenging environments.

Published
2021
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3. Contributions de la génétique animale à la transition agroécologique des systèmes d’élevage

Author

Alain DUCOS, Frédéric DOUHARD, Davi SAVIETTO, Marion SAUTIER, Valérie FILLON, Mélanie GUNIA, Rachel RUPP, Carole MORENO-ROMIEUX, Sandrine MIGNON-GRASTEAU, Hélène GILBERT, and Laurence FORTUN-LAMOTHE

Subjects
Animal culture, SF1-1100, Aquaculture. Fisheries. Angling, SH1-691
Abstract

Les filières et systèmes d’élevage ont considérablement évolué au cours du XXe siècle. La recherche en génétique animale et la mise en place des programmes d’amélioration génétique ont joué un rôle important dans cette évolution. Aujourd’hui, le modèle dominant, caractérisé par une utilisation intensive d’intrants, une très grande spécialisation des systèmes et la recherche de coûts de production toujours plus bas, est remis en cause. Un objectif désormais largement partagé est de contribuer à l’émergence de systèmes alimentaires durables, équitables, sains et respectueux de l’environnement. L’agroécologie est un moyen pour atteindre cet objectif et guider la nécessaire transition des systèmes d’élevage, à laquelle la génétique animale doit contribuer. Des exemples de contributions passées, actuelles et potentielles sont présentés et positionnés selon cinq principes d’agroécologie proposés pour guider l’évolution des systèmes d’élevage. La plupart, telles que la sélection d’animaux résistants à différentes maladies infectieuses ou valorisant de façon plus efficace leur alimentation, correspondent à des niveaux de transition agroécologique faible, dans la mesure où elles ne remettent pas en cause les fondements, les composantes ou la conception générale des systèmes. De nouvelles contributions, visant une transition forte, fondée sur une reconception en profondeur des systèmes d’élevage, sont à développer à l’avenir.

Published
2021
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4. How much energetic trade‐offs limit selection? Insights from livestock and related laboratory model species

Author

Hélène Gilbert, Jean-François Lemaître, Philippe Monget, Frédéric Douhard, Jean-Michel Gaillard, Mathieu Douhard, Génétique Physiologie et Systèmes d'Elevage (GenPhySE ), 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-École nationale supérieure agronomique de Toulouse [ENSAT]-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Laboratoire de Biométrie et Biologie Evolutive - UMR 5558 (LBBE), Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Université de Lyon-Institut National de Recherche en Informatique et en Automatique (Inria)-VetAgro Sup - Institut national d'enseignement supérieur et de recherche en alimentation, santé animale, sciences agronomiques et de l'environnement (VAS)-Centre National de la Recherche Scientifique (CNRS), Physiologie de la reproduction et des comportements [Nouzilly] (PRC), Institut Français du Cheval et de l'Equitation [Saumur]-Université de Tours (UT)-Centre National de la Recherche Scientifique (CNRS)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Université de Toulouse (UT)-Université de Toulouse (UT)-Institut National Polytechnique (Toulouse) (Toulouse INP), Université de Toulouse (UT)-Université de Toulouse (UT)-École nationale supérieure agronomique de Toulouse (ENSAT), Université de Toulouse (UT)-Université de Toulouse (UT)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Institut Français du Cheval et de l'Equitation [Saumur] (IFCE)-Université de Tours (UT)-Centre National de la Recherche Scientifique (CNRS)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Biodémographie évolutive, Département écologie évolutive [LBBE], Université de Lyon-Université de Lyon-Institut National de Recherche en Informatique et en Automatique (Inria)-VetAgro Sup - Institut national d'enseignement supérieur et de recherche en alimentation, santé animale, sciences agronomiques et de l'environnement (VAS)-Centre National de la Recherche Scientifique (CNRS)-Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Université de Lyon-Institut National de Recherche en Informatique et en Automatique (Inria)-VetAgro Sup - Institut national d'enseignement supérieur et de recherche en alimentation, santé animale, sciences agronomiques et de l'environnement (VAS)-Centre National de la Recherche Scientifique (CNRS)-Laboratoire de Biométrie et Biologie Evolutive - UMR 5558 (LBBE), Ecologie et évolution des populations, and Institut Français du Cheval et de l'Equitation [Saumur]-Université de Tours-Centre National de la Recherche Scientifique (CNRS)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)

Subjects
senescence, Natural resource economics, Evolution, [SDV]Life Sciences [q-bio], trade‐offs, Biology, 03 medical and health sciences, Pleiotropy, pleiotropy, Genetics, QH359-425, Limit (mathematics), Livestock breeding, Ecology, Evolution, Behavior and Systematics, Selection (genetic algorithm), ComputingMilieux_MISCELLANEOUS, 030304 developmental biology, 2. Zero hunger, 0303 health sciences, metabolic rate, business.industry, livestock breeding, Trade offs, 0402 animal and dairy science, 04 agricultural and veterinary sciences, 040201 dairy & animal science, [SDV.GEN.GA]Life Sciences [q-bio]/Genetics/Animal genetics, trade-offs, Perspective, Metabolic rate, Livestock, General Agricultural and Biological Sciences, business
Abstract

International audience; Trade-offs between life history traits are expected to occur due to the limited amount of resources that organisms can obtain and share among biological functions, but are of least concern for selection responses in nutrient-rich or benign environments. In domestic animals, selection limits have not yet been reached despite strong selection for higher meat, milk or egg yields. Yet, negative genetic correlations between productivity traits and health or fertility traits have often been reported, supporting the view that trade-offs do occur in the context of nonlimiting resources. The importance of allocation mechanisms in limiting genetic changes can thus be questioned when animals are mostly constrained by their time to acquire and process energy rather than by feed availability. Selection for high productivity traits early in life should promote a fast metabolism with less energy allocated to self-maintenance (contributing to soma preservation and repair). Consequently, the capacity to breed shortly after an intensive period of production or to remain healthy should be compromised. We assessed those predictions in mammalian and avian livestock and related laboratory model species. First, we surveyed studies that compared energy allocation to maintenance between breeds or lines of contrasting productivity but found little support for the occurrence of an energy allocation trade-off. Second, selection experiments for lower feed intake per unit of product (i.e. higher feed efficiency) generally resulted in reduced allocation to maintenance, but this did not entail fitness costs in terms of survival or future reproduction. These findings indicate that the consequences of a particular selection in domestic animals are much more difficult to predict than one could anticipate from the energy allocation framework alone. Future developments to predict the contribution of time constraints and trade-offs to selection limits will be insightful to breed livestock in increasingly challenging environments.

Published
2021

5. Contributions de la génétique animale à la transition agroécologique des systèmes d’élevage

Author

Marion Sautier, Carole Moreno-Romieux, Mélanie Gunia, Hélène Gilbert, Alain Ducos, Sandrine Mignon-Grasteau, Laurence Fortun-Lamothe, Valérie Fillon, Frédéric Douhard, Rachel Rupp, and Davi Savietto

Subjects
2. Zero hunger
Abstract

Les filières et systèmes d’élevage ont considérablement évolué au cours du XXe siècle. La recherche en génétique animale et la mise en place des programmes d’amélioration génétique ont joué un rôle important dans cette évolution. Aujourd’hui, le modèle dominant, caractérisé par une utilisation intensive d’intrants, une très grande spécialisation des systèmes et la recherche de coûts de production toujours plus bas, est remis en cause. Un objectif désormais largement partagé est de contribuer à l’émergence de systèmes alimentaires durables, équitables, sains et respectueux de l’environnement. L’agroécologie est un moyen pour atteindre cet objectif et guider la nécessaire transition des systèmes d’élevage, à laquelle la génétique animale doit contribuer. Des exemples de contributions passées, actuelles et potentielles sont présentés et positionnés selon cinq principes d’agroécologie proposés pour guider l’évolution des systèmes d’élevage. La plupart, telles que la sélection d’animaux résistants à différentes maladies infectieuses ou valorisant de façon plus efficace leur alimentation, correspondent à des niveaux de transition agroécologique faible, dans la mesure où elles ne remettent pas en cause les fondements, les composantes ou la conception générale des systèmes. De nouvelles contributions, visant une transition forte, fondée sur une reconception en profondeur des systèmes d’élevage, sont à développer à l’avenir.

Published
2021

6. Management strategies that harness the adaptive capacities of small ruminants to improve herd resilience and efficiency Presentation of the ADAPT-HERD project

Author

Laurence Puillet, Aboul-Naga, A., Atti, N., Frédéric Douhard, Nicolas Friggens, Eliel González-García, Joy, M., Mohamed, A., and Hugo Valls Fox

Subjects
Manejo del ganado, Rumiante, Cambio climático, Adaptación, GeneralLiterature_REFERENCE(e.g.,dictionaries,encyclopedias,glossaries), Alimentación de los animales
Abstract

The main effect of climate change on livestock production systems in the Mediterranean area is to induce changes in feed resource availability. In face of constraining and changing environmental conditions, the challenge is to find practical solutions for herd management to minimize farmer's risk. These solutions should be good enough in terms of efficiency (E), to ensure sufficient income, and good enough in terms of resilience (R), to ensure farm sustainability. The objective of the ADAPT-HERD project is to develop simulation tools capable of evaluating the consequences of management strategies at the herd level, under contrasting and varying environments (Egypt, France, Spain and Tunisia). Our approach considers that biological adaptive capacities of small ruminants can be fully integrated within management strategies to improve R and E by: i) using reproduction practices that provide the best match between herd demand and feed supply; ii) managing groups of animals based on their adaptive capacities (targeting interventions) and iii) managing herd demography to adapt animal numbers to future feed resources. The project will implement data acquisition at animal level (fine-grained experiments on adaptive capacities and phenotyping of local breeds) and at production system level (herd management, feed resource, climate and market conditions). Data will be combined and used in computer simulations to explore different climate change scenarios and management strategies and evaluate their effects on herd R and E. Interfacing modelling tools will be a key aspect of the project, fostering knowledge exchange and collaboration, especially with ongoing projects focusing on genetic selection and breeding solutions to improve R&E in small ruminants.

Published
2019

7. Does body growth impair immune function in a large herbivore?

Author

Jean-François Lemaître, Hélène Verheyden, Jeffrey Carbillet, François Débias, Maryline Pellerin, Sylvia Pardonnet, Frédéric Douhard, Jean-Michel Gaillard, Emmanuelle Gilot-Fromont, Benjamin Rey, Aiden J Mark Hewison, Louise Cheynel, Laboratoire de Biométrie et Biologie Evolutive - UMR 5558 (LBBE), Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Université de Lyon-Institut National de Recherche en Informatique et en Automatique (Inria)-VetAgro Sup - Institut national d'enseignement supérieur et de recherche en alimentation, santé animale, sciences agronomiques et de l'environnement (VAS)-Centre National de la Recherche Scientifique (CNRS), Génétique Physiologie et Systèmes d'Elevage (GenPhySE ), 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-École nationale supérieure agronomique de Toulouse [ENSAT]-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Biodémographie évolutive, Département écologie évolutive [LBBE], Université de Lyon-Université de Lyon-Institut National de Recherche en Informatique et en Automatique (Inria)-VetAgro Sup - Institut national d'enseignement supérieur et de recherche en alimentation, santé animale, sciences agronomiques et de l'environnement (VAS)-Centre National de la Recherche Scientifique (CNRS)-Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Université de Lyon-Institut National de Recherche en Informatique et en Automatique (Inria)-VetAgro Sup - Institut national d'enseignement supérieur et de recherche en alimentation, santé animale, sciences agronomiques et de l'environnement (VAS)-Centre National de la Recherche Scientifique (CNRS)-Laboratoire de Biométrie et Biologie Evolutive - UMR 5558 (LBBE), Unité de recherche Comportement et Ecologie de la Faune Sauvage (CEFS), Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Office National de la Chasse et de la Faune Sauvage (ONCFS), ONCFS : 2011/18/6171 et ONCFS : 2015/19/6171, ANR-15-CE32-0002,AGEX,Vieillissement sexe-spécifique en milieu naturel(2015), ANR-11-LABX-0048,ECOFECT,Dynamiques eco-évolutives des maladies infectieuses(2011), ANR-11-IDEX-0007,Avenir L.S.E.,PROJET AVENIR LYON SAINT-ETIENNE(2011), Ecotoxicologie & Santé des écosystèmes - ECSECO (ECI), Institut National de la Recherche Agronomique (INRA)-Laboratoire Ecologie Fonctionnelle et Environnement (ECOLAB), Université Toulouse III - Paul Sabatier (UT3), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-Observatoire Midi-Pyrénées (OMP), Université Fédérale Toulouse Midi-Pyrénées-Centre National de la Recherche Scientifique (CNRS)-Institut National Polytechnique (Toulouse) (Toulouse INP), Université Fédérale Toulouse Midi-Pyrénées-Université Toulouse III - Paul Sabatier (UT3), Université Fédérale Toulouse Midi-Pyrénées, Institut National de la Recherche Agronomique (INRA), Département d'Astrophysique, de physique des Particules, de physique Nucléaire et de l'Instrumentation Associée (DAPNIA), Commissariat à l'énergie atomique et aux énergies alternatives (CEA), École nationale supérieure agronomique de Toulouse [ENSAT]-Institut National de la Recherche Agronomique (INRA)-Ecole Nationale Vétérinaire de Toulouse (ENVT), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées, Laboratoire Ecologie Fonctionnelle et Environnement (ECOLAB), Institut Ecologie et Environnement (INEE), Centre National de la Recherche Scientifique (CNRS)-Centre National de la Recherche Scientifique (CNRS)-Université Toulouse III - Paul Sabatier (UT3), Météo France-Centre National d'Études Spatiales [Toulouse] (CNES)-Université Fédérale Toulouse Midi-Pyrénées-Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche pour le Développement (IRD)-Météo France-Centre National d'Études Spatiales [Toulouse] (CNES)-Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche pour le Développement (IRD)-Centre National de la Recherche Scientifique (CNRS)-Institut National Polytechnique (Toulouse) (Toulouse INP), Université Fédérale Toulouse Midi-Pyrénées-Institut Ecologie et Environnement (INEE), Université Fédérale Toulouse Midi-Pyrénées-Institut National de la Recherche Agronomique (INRA), Agence Nationale de la Recherche ANR-15-CE32-0002-01 / ONCFS 2011/18/6171 2015/19/6171 / LABEX ECOFECT of Universite de Lyon within the program 'Investissementsd'Avenir' ANR-11-LABX-0048 ANR-11-IDEX-0007, Université de Toulouse (UT)-Université de Toulouse (UT)-Institut National Polytechnique (Toulouse) (Toulouse INP), Université de Toulouse (UT)-Université de Toulouse (UT)-École nationale supérieure agronomique de Toulouse (ENSAT), Université de Toulouse (UT)-Université de Toulouse (UT)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Centre National de la Recherche Scientifique (CNRS)-Observatoire Midi-Pyrénées (OMP), Météo France-Centre National d'Études Spatiales [Toulouse] (CNES)-Université Fédérale Toulouse Midi-Pyrénées-Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche pour le Développement (IRD)-Météo France-Centre National d'Études Spatiales [Toulouse] (CNES)-Université Fédérale Toulouse Midi-Pyrénées-Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche pour le Développement (IRD)-Institut National Polytechnique (Toulouse) (Toulouse INP), and Université Fédérale Toulouse Midi-Pyrénées-Centre National de la Recherche Scientifique (CNRS)-Observatoire Midi-Pyrénées (OMP)

Subjects
Adult, 0106 biological sciences, animal diseases, Population, Zoology, Trade-off, Biology, 010603 evolutionary biology, 01 natural sciences, [SDV.IMM.II]Life Sciences [q-bio]/Immunology/Innate immunity, Capreolus, Immune system, Immunity, biology.animal, Animals, Herbivory, education, Life history, Ecology, Evolution, Behavior and Systematics, ComputingMilieux_MISCELLANEOUS, Roe deer, Herbivore, education.field_of_study, Reproductive success, Deer, Reproduction, 010604 marine biology & hydrobiology, [SDV.BID.EVO]Life Sciences [q-bio]/Biodiversity/Populations and Evolution [q-bio.PE], biochemical phenomena, metabolism, and nutrition, biology.organism_classification, Phenotype, Body mass, [SDV.IMM.IA]Life Sciences [q-bio]/Immunology/Adaptive immunology, bacteria, Female, Eco-immunology, [SDE.BE]Environmental Sciences/Biodiversity and Ecology
Abstract

International audience; According to the principle of allocation, trade-offs are inevitable when resources allocated to one biological function are no longer available for other functions. Growth, and to a lesser extent, immunity are energetically costly functions that may compete with allocation to reproductive success and survival. However, whether high allocation to growth impairs immune system development during the growing period or immune system performance during adulthood is currently unknown in wild mammals. Using three roe deer (Capreolus capreolus) populations experiencing contrasting environmental conditions, we tested for potential costs of growth on immune phenotype over both the short-term (during growth), and the long-term (during adulthood) over the course of an individuals' life. We investigated potential costs on a set of 12 immune traits that reflect both innate and adaptive responses, and compared them between sexes and populations. Although fast growth tended to be associated with low levels of some humoral traits (globulins) during the growing period and some cellular immune traits (i.e. eosinophil and neutrophil counts) during adulthood, evidence for a trade-off between growth and other immune components was limited. Unexpectedly, no detectable growth costs on immunity were found in females from the population experiencing the least favourable environment. We discuss our findings in the light of the complex interplay between resource allocation strategies among reproduction, maintenance and immunity, in relation to local environmental conditions experienced by roe deer.

Published
2019

8. The influence of early‐life allocation to antlers on male performance during adulthood: Evidence from contrasted populations of a large herbivore

Author

Jean-François Lemaître, Cécile Vanpé, Louise Cheynel, Benjamin Rey, Sylvia Pardonnet, A. J. Mark Hewison, Gilles Bourgoin, Hubert Ferté, Frédéric Douhard, Emmanuelle Gilot-Fromont, Maryline Pellerin, François Débias, Jean-Michel Gaillard, Biodémographie évolutive, Département écologie évolutive [LBBE], Laboratoire de Biométrie et Biologie Evolutive - UMR 5558 (LBBE), Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Université de Lyon-Institut National de Recherche en Informatique et en Automatique (Inria)-VetAgro Sup - Institut national d'enseignement supérieur et de recherche en alimentation, santé animale, sciences agronomiques et de l'environnement (VAS)-Centre National de la Recherche Scientifique (CNRS)-Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Université de Lyon-Institut National de Recherche en Informatique et en Automatique (Inria)-VetAgro Sup - Institut national d'enseignement supérieur et de recherche en alimentation, santé animale, sciences agronomiques et de l'environnement (VAS)-Centre National de la Recherche Scientifique (CNRS)-Laboratoire de Biométrie et Biologie Evolutive - UMR 5558 (LBBE), Université de Lyon-Université de Lyon-Institut National de Recherche en Informatique et en Automatique (Inria)-VetAgro Sup - Institut national d'enseignement supérieur et de recherche en alimentation, santé animale, sciences agronomiques et de l'environnement (VAS)-Centre National de la Recherche Scientifique (CNRS), Ecologie et évolution des populations, 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, Transmission Vectorielle et Épidémiosurveillance de Maladies Parasitaires - EA 4688 (VECPAR), SFR CAP Santé (Champagne-Ardenne Picardie Santé), Université de Reims Champagne-Ardenne (URCA)-Université de Picardie Jules Verne (UPJV)-Université de Reims Champagne-Ardenne (URCA)-Université de Picardie Jules Verne (UPJV)-Université de Reims Champagne-Ardenne (URCA), Epidémiosurveillance de protozooses à transmission alimentaire et vectorielle (ESCAPE), Université de Reims Champagne-Ardenne (URCA)-Université de Rouen Normandie (UNIROUEN), Normandie Université (NU)-Normandie Université (NU)-Agence nationale de sécurité sanitaire de l'alimentation, de l'environnement et du travail (ANSES), Office National de la Chasse et de la Faune Sauvage (ONCFS), Centre d'Études Biologiques de Chizé - UMR 7372 (CEBC), Université de La Rochelle (ULR)-Centre National de la Recherche Scientifique (CNRS)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Unité de recherche Comportement et Ecologie de la Faune Sauvage (CEFS), Institut National de la Recherche Agronomique (INRA), ANR-11-LABX-0048,ECOFECT,Dynamiques eco-évolutives des maladies infectieuses(2011), ANR-11-IDEX-0007,Avenir L.S.E.,PROJET AVENIR LYON SAINT-ETIENNE(2011), ANR-15-CE32-0002,AGEX,Vieillissement sexe-spécifique en milieu naturel(2015), Université Cheikh Anta Diop [Dakar, Sénégal] (UCAD), Département Ecologie, Physiologie et Ethologie (DEPE-IPHC), Institut Pluridisciplinaire Hubert Curien (IPHC), Université de Strasbourg (UNISTRA)-Centre National de la Recherche Scientifique (CNRS)-Université de Strasbourg (UNISTRA)-Centre National de la Recherche Scientifique (CNRS), Observatoire du Mont-Blanc, Centre d'études biologiques de Chizé (CEBC), Centre National de la Recherche Scientifique (CNRS), Institut National de la Recherche Agronomique (INRA)-Ecole Nationale Vétérinaire de Toulouse (ENVT), Université de Toulouse (UT)-Université de Toulouse (UT)-Institut National Polytechnique (Toulouse) (Toulouse INP), Université de Toulouse (UT)-Université de Toulouse (UT)-École nationale supérieure agronomique de Toulouse (ENSAT), Université de Toulouse (UT)-Université de Toulouse (UT), Université de Reims Champagne-Ardenne (URCA)-SFR CAP Santé (Champagne-Ardenne Picardie Santé), Université de Reims Champagne-Ardenne (URCA)-Université de Reims Champagne-Ardenne (URCA), and Institut National de la Recherche Agronomique (INRA)-La Rochelle Université (ULR)-Centre National de la Recherche Scientifique (CNRS)

Subjects
Male, 0106 biological sciences, 0301 basic medicine, life history, animal structures, senescence, media_common.quotation_subject, Longevity, Population, Antlers, capreolus capreolus, 010603 evolutionary biology, 01 natural sciences, Competition (biology), 03 medical and health sciences, Capreolus, biology.animal, [SDV.BA.ZV]Life Sciences [q-bio]/Animal biology/Vertebrate Zoology, Animals, roe deer, Mating, education, Ecology, Evolution, Behavior and Systematics, ComputingMilieux_MISCELLANEOUS, media_common, education.field_of_study, Herbivore, biology, Deer, [SDV.BID.EVO]Life Sciences [q-bio]/Biodiversity/Populations and Evolution [q-bio.PE], biology.organism_classification, Antler, Roe deer, secondary sexual traits, Phenotype, 030104 developmental biology, ageing, Sexual selection, Animal Science and Zoology, France, Energy Metabolism, Switzerland, Demography
Abstract

International audience; To secure mating opportunities, males often develop and maintain conspicuous traits that are involved in intrasexual and/or intersexual competition. While current models of sexual selection rely on the assumption that producing such traits is costly, quantifying the cost of allocating to secondary sexual traits remains challenging. According to the principle of allocation, high energy allocation to growth or sexual traits in males should lead to reduced energy allocation to the maintenance of cellular and physiological functions, potentially causing them to age faster, with impaired survival. We evaluated the short-term and delayed consequences of energy allocation to antlers early in life in two contrasted populations of roe deer, Capreolus capreolus. Although most males mate successfully for the first time in their fourth year, antlers are grown annually from the first year of life onwards. We tested the prediction that a high level of allocation to antler growth during the first two years of life should lead to lower body mass, antler size and survival during the early and late prime stages, as well as to reduced longevity overall. Growing and carrying long antlers during the first years of life was not associated with any detectable cost in the late prime stage. The positive association between antler growth in early life and adult body mass instead supports that fawn antler acts as an honest signal of phenotypic quality in roe deer. For a given body mass, yearling males growing longer antlers displayed impaired performance during their late prime. We also found a trend for a short-term survival cost of allocation to relative antler length during the second year of life. Yearling males that grow long antlers relative to their mass might display a fast life-history tactic. We argue that differential allocation to secondary sexual traits generates a diversity of individual trajectories that should impact population dynamics.

Published
2018

9. Effects of the level of early productivity on the lifespan of ewes in contrasting flock environments

Author

Nicolas Friggens, Peter Amer, N. B. Jopson, Frédéric Douhard, Modélisation Systémique Appliquée aux Ruminants (MoSAR), Institut National de la Recherche Agronomique (INRA)-AgroParisTech, and AbacusBio Limited

Subjects
[SDV.SA]Life Sciences [q-bio]/Agricultural sciences, 0301 basic medicine, Litter (animal), Veterinary medicine, Aging, Animal breeding, mouton, Litter Size, media_common.quotation_subject, Longevity, Culling, Weaning, Biology, SF1-1100, prolificite, prolificacy, stayability, 03 medical and health sciences, Pregnancy, conception rate, Animals, Animal nutrition, Animal Husbandry, longévité, production de lait, wether hoggs, media_common, 2. Zero hunger, Sheep, analyse de survie, 0402 animal and dairy science, ewes, gimmers, brebis, 04 agricultural and veterinary sciences, 040201 dairy & animal science, Animal Feed, Animal culture, flock environment, 030104 developmental biology, Animal Science and Zoology, Animal Nutritional Physiological Phenomena, Female, Flock, Reproduction, early productive life, New Zealand
Abstract

Selection for high levels of prolificacy has allowed substantial improvements in the production efficiency of New Zealand (NZ) sheep farms, but the consequences on ewe lifetime performance are mostly unknown. In this study, the relationship between the level of prolificacy early in ewes' productive lives and their probability to survive later (i.e. stayability) was evaluated in two contrasting NZ flock environments. Records were obtained from 6605 ewes from four ram breeder flocks representing either a moderate (n = 2) or a highly variable (n = 2) nutritional environment. All ewes lambed for the first time at 2 years of age and were mated the following year. The number of lambs born during the first 2 years of productive life (NLB2-3) was used as a measure of early prolificacy. Effects of NLB2-3 on stayability to 4, 5, 6, 7 and 8 years old were analysed using logistic regression. Curvilinear effects (logit-transformed) were detected (P < 0.05) until stayability to 6 years and to 8 years old in the highly variable and the moderate environment, respectively. The NLB2-3 that resulted in maximum expected stayability to various ages was 3.9 to 4.2, and 4.5 to 4.7 lambs in the highly variable and in the moderate flock environments, respectively. In addition, ewe stayability was reduced when the proportion of the litter that survived from birth to weaning (i.e. ewe rearing ability) was submaximal during the early productive life. High prolific ewes had a low rearing ability whatever the environment whereas the rearing ability of lowly prolific ewes was apparently more sensitive to the nutritional environment. The poor maternal performance of ewes with low levels of NLB2-3 led to a premature culling by breeders whereas the high early reproductive effort associated with high levels of NLB2-3 seemed to be at the cost of ewes' survival, even in the moderate flock environment. In conclusion, the flock environment influenced the level of early prolificacy beyond which ewe longevity was reduced. It is suggested that further selection for high and early prolificacy in NZ flocks is likely to impair ewes' lifetime productivity.

Published
2016

10. Allometric scaling of the elevation of maternal energy intake during lactation

Author

Nicolas Friggens, Wendy M. Rauw, Jean-François Lemaître, Frédéric Douhard, Modélisation Systémique Appliquée aux Ruminants (MoSAR), Institut National de la Recherche Agronomique (INRA)-AgroParisTech, Biodémographie évolutive, Département écologie évolutive [LBBE], Laboratoire de Biométrie et Biologie Evolutive - UMR 5558 (LBBE), Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Université de Lyon-Institut National de Recherche en Informatique et en Automatique (Inria)-VetAgro Sup - Institut national d'enseignement supérieur et de recherche en alimentation, santé animale, sciences agronomiques et de l'environnement (VAS)-Centre National de la Recherche Scientifique (CNRS)-Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Université de Lyon-Institut National de Recherche en Informatique et en Automatique (Inria)-VetAgro Sup - Institut national d'enseignement supérieur et de recherche en alimentation, santé animale, sciences agronomiques et de l'environnement (VAS)-Centre National de la Recherche Scientifique (CNRS)-Laboratoire de Biométrie et Biologie Evolutive - UMR 5558 (LBBE), Université de Lyon-Université de Lyon-Institut National de Recherche en Informatique et en Automatique (Inria)-VetAgro Sup - Institut national d'enseignement supérieur et de recherche en alimentation, santé animale, sciences agronomiques et de l'environnement (VAS)-Centre National de la Recherche Scientifique (CNRS), Université de Lyon, Departamento de Mejora Genética Animal, Instituto Nacional de Investigación y Tecnología Agraria y Alimentaria = National Institute for Agricultural and Food Research and Technology (INIA), and Spanish National Institute for Agriculture and Food Research and Technology (INIA)

Subjects
0106 biological sciences, 0301 basic medicine, Offspring, métabolisme énergétique, Metabolic theory of ecology, lactation, Biology, 010603 evolutionary biology, 01 natural sciences, énergie alimentaire, modelling, 03 medical and health sciences, Animal science, Lactation, energy intake, scaling, reproductive effort, medicine, Food and Nutrition, Ecology, Evolution, Behavior and Systematics, modélisation, 2. Zero hunger, Ecology, Research, Elevation, Modélisation et simulation, prise alimentaire, énergie absorbée, [INFO.INFO-MO]Computer Science [cs]/Modeling and Simulation, 030104 developmental biology, medicine.anatomical_structure, Modeling and Simulation, Basal metabolic rate, Alimentation et Nutrition, Animal Science and Zoology, Allometry, Adaptation, Maternal body, [SDV.AEN]Life Sciences [q-bio]/Food and Nutrition
Abstract

Background In most mammals, lactating mothers dramatically increase their food intake after parturition and reach a peak intake rate after a certain time while their offspring continue to grow. A common view, perpetuated by the metabolic theory of ecology, is that the allometric scaling of maternal metabolic rate with body mass limits the changes in energy intake and expenditure. Therefore these potential effects of metabolic scaling should be reflected in the elevation of maternal energy intake during lactation. To test this hypothesis, we collected published data on 24 species (13 domesticated) and established scaling relationships for several characteristics of the patterns of energy intake elevation (amplitude of the elevation, time to peak, and cumulative elevation to peak). Results A curvilinear allometric scaling relationship with maternal body mass (in double-logarithmic space) was found for the amplitude of maternal energy intake elevation, similarly to what has been observed for scaling relationships of basal metabolic rate in non-breeding mammals. This result indirectly supports the metabolic theory of ecology. However, this curvilinear allometric scaling does not seem to drive the scaling relationships found for the other characteristics of maternal energy intake. Both the duration and shape of the energy intake patterns showed substantial variation independently of species’ body mass. Conclusions Data available for a few mammals, mostly domesticated, provides little evidence for the hypothesis that a single law of metabolic scaling governs the elevation of maternal energy intake after parturition. Obtaining further food intake data in wild species will be crucial to unravel the general mechanisms underlying variation in this unique adaptation of mammalian females. Electronic supplementary material The online version of this article (doi:10.1186/s12983-016-0164-y) contains supplementary material, which is available to authorized users.

Published
2016

11. Characterization of a changing relationship between milk production and liveweight for dairy goats undergoing extended lactation

Author

Olivier Martin, Daniel Sauvant, Frédéric Douhard, Nicolas Friggens, Joseph-Alexandre Tessier, Muriel Tichit, Sciences pour l'Action et le Développement : Activités, Produits, Territoires (SADAPT), Institut National de la Recherche Agronomique (INRA)-AgroParisTech, and Modélisation Systémique Appliquée aux Ruminants (MoSAR)

Subjects
[SDV.SA]Life Sciences [q-bio]/Agricultural sciences, Time Factors, Energy transfer, Biology, Body weight, extended lactation, 03 medical and health sciences, Eating, Animal science, Milk yield, Pregnancy, Genetics, Animals, Lactation, Body tissue, 030304 developmental biology, 0303 health sciences, Goats, Body Weight, 0402 animal and dairy science, Parturition, modeling, 04 agricultural and veterinary sciences, Milk production, 040201 dairy & animal science, Milk, dairy goat, Animal Science and Zoology, Female, Food Science, Extended lactation
Abstract

This study aimed to characterize the time-profile of extended lactation (EL) for dairy goats, and the relationships between milk production, liveweight, and intake that are associated with this profile. For this, 20 nonpregnant multiparous dairy goats were monitored daily for about 90 d from the onset of EL [i.e., when an increase in milk yield (MY) was observed]. These 20 individual profiles were pooled to create a group average profile at the onset of EL for the purpose of parameterizing a simple compartmental model. Moreover, 9 of the 20 EL goats were kept to compare their 24-mo profiles of body weight and milk production with those observed during 2 successive normal lactations (NL). Despite being kept in the same environment and on the same feed, a clear change from decreasing to increasing MY was identified (time of change, T-change) for all of the 20 EL goats around 330 d in milk. During the whole 24-mo period, EL goats produced as much milk as NL goats but this total milk production was unequally split before (56%) and after (44%) T-change. In terms of body weight, the most striking difference between EL and NL goats was the rapid and very high increase (+9.3 kg with an average daily gain of 60.4 g/d) that was observed concurrently with the increase in MY. Model parameterization with the group average profile does not support that the rise in MY drives the increase in resource acquisition as is generally assumed at the onset of an NL. Rather, it demonstrates that the transfer of energy from feed to milk is delayed at the onset of EL. Moreover, assessing the model ability to fit the range of individual profiles showed that the performances over the first 90 d of EL are largely predetermined by the animal state at T-change. The analysis of individual variability in EL efficiency showed that it depends both on an increase in resource acquisition and on the potential of goats to partition energy from the diet toward milk production instead of to body tissue gain. Finally, predicting the suitability for EL requires the consideration of more than just milk production for 300 d in milk.

Published
2013

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