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Laurence PUILLET

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10
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Affiliations actuelles
  • 1002308
  • 135660
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Présentation

Chargée de Recherche @ INRAE, dans l'unité MoSAR, mes travaux portent sur la modélisation de l'animal et du troupeau pour étudier la robustesse des systèmes d'élevage de ruminants
Researcher @ INRAE, working in MoSAR lab and modelling animal and herd to study robustness of ruminant farming systems

Compétences

Modèles dynamiques, zootechnie animal et système d'élevage Trajectoires individuelles, capacités d'adaptation, diversité carrières

Publications

713279
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Combined mechanistic and genetic modelling to benchmark body reserve traits as proxies of dairy cows’ lifetime efficiency in grass-based production systems

A. Bouquet , M. Slagboom , J.R. Thomasen , Nicolas N.C. Friggens , M. Kargo
Animal, 2024, 18 (1), pp.101035. ⟨10.1016/j.animal.2023.101035⟩
Article dans une revue hal-04392785v1
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Bayesian inference for parameter identification in mechanistic models, exemplified using a cow lifetime performance model

J.F. Ramirez-Agudelo , J.B. Daniel , Laurence Puillet , Nicolas N.C. Friggens
Animal - Open Space, 2023, 2, pp.100054. ⟨10.1016/j.anopes.2023.100054⟩
Article dans une revue hal-04392783v1
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A framework to estimate the environmentally attainable intake of dairy cows in constraining environments

J.F. Ramirez-Agudelo , Laurence Puillet , Nicolas N.C. Friggens
Animal, 2023, 17 (7), pp.100799. ⟨10.1016/j.animal.2023.100799⟩
Article dans une revue hal-04130956v1

Carbon footprint based on lifetime productivity for future cows selected for resilience to climate-related disturbances

S. Zira , A. Bouquet , L. Rydhmer , M. Kargo , L. Puillet
Journal of Dairy Science, 2023, 106 (12), pp.8953-8968. ⟨10.3168/jds.2023-23492⟩
Article dans une revue hal-04421455v1
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Coupling genetic and mechanistic models to benchmark selection strategies for feed efficiency in dairy cows: sensitivity analysis validating this novel approach

A. Bouquet , M. Slagboom , J.R. Thomasen , Nicolas N.C. Friggens , M. Kargo
Animal - Open Space, 2022, 1 (1), pp.100017. ⟨10.1016/j.anopes.2022.100017⟩
Article dans une revue hal-04392781v1
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Specialising and intensifying cattle production for better efficiency and less global warming: contrasting results for milk and meat co-production at different scales

Philippe Faverdin , Hervé Guyomard , Laurence Puillet , Agneta Forslund
Animal, 2022, 16 (1), pp.100431. ⟨10.1016/j.animal.2021.100431⟩
Article dans une revue hal-03513868v1
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Exploring underlying drivers of genotype by environment interactions in feed efficiency traits for dairy cattle with a mechanistic model involving energy acquisition and allocation

Laurence Puillet , Vincent Ducrocq , Nicolas N.C. Friggens , P R Amer
Journal of Dairy Science, 2021, 104 (5), pp.5805-5816. ⟨10.3168/jds.2020-19610⟩
Article dans une revue hal-03185854v1
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55. Mechanistic-based prediction of selection response on resilience and feed efficiency traits in dairy cattle

A Bouquet , M Slagboom , J Thomasen , Nicolas N.C. Friggens , M Kargo
12. World Congress on Genetics Applied to Livestock Production (WCGALP), Jul 2022, Rotterdam, Netherlands. pp.268-271, ⟨10.3920/978-90-8686-940-4_55⟩
Communication dans un congrès hal-04127527v1
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70. Identifying diversity in cattle performance using Bayesian inference and a model

J.F. Ramirez , Laurence Puillet , Nicolas N.C. Friggens
12. World Congress on Genetics Applied to Livestock Production (WCGALP), Jul 2022, Rotterdam, Netherlands. pp.328-331, ⟨10.3920/978-90-8686-940-4⟩
Communication dans un congrès hal-04127522v1
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A framework for predicting the environmentally attainable intake of dairy cows

J.F. Ramirez-Agudelo , Laurence Puillet , Nicolas N.C. Friggens
74. Annual Meeting of European Federation for Animal Science, 2023, Lyon, France
Poster de conférence hal-04421756v1