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Gonzalo CANTALAPIEDRA-HIJAR

Gonzalo CANTALAPIEDRA-HIJAR, Ph.D. Research Ruminant Nutrionist
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Affiliations actuelles
  • 37762
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Présentation

I am a research scientist at INRAE, the French national institute for research in agriculture, nutrition and environment, since 2012. I work on beef cattle nutrition and feed efficiency. My educational background includes a BSc in Veterinary Medicine (1997-2002; Spain and Belgium), a M.Sc and PhD on small ruminant nutrition (2005-2009; Spain) and a postdoctoral fellowship on dairy cattle nutrition and metabolism carried out in the Herbivore Research Unit at INRAE of Clermont-Ferrand-Theix (France; 2009-2012). My areas of expertise cover animal nitrogen metabolism in connection with animal feed efficiency, the evaluation of protein requirements in ruminants and the development of non-invasive methods to predict nitrogen partitioning and feed efficiency in growing ruminants. Lecturer for undergraduate students and supervisor/co-supervisor of PhD students and postdocs. More than 60 peer-reviewed publications and book chapters including the new updated INRA feeding system for ruminants. I belong to the editorial board of Journal of Agricultural Science (2016) and PCI in Animal (2020).

Domaines de recherche

Alimentation et Nutrition

Compétences

Métabolisme Isotopes stables

Publications

nadegeedouard

Prediction of between-animal variation in N use efficiency in dairy cows from isotopic N signatures

Martin Correa-Luna , M. Johansen , Pierre Noziere , A.R. Bayat , L.A. Crompton
72. Annual meeting of the european federation of animal science (EAAP), Aug 2021, Davos, Switzerland. pp.620
Communication dans un congrès hal-03412988v1

Mise au point d’une méthode de collecte de la sueur pour une meilleure estimation des flux d’azote chez la vache laitière

Nadège Edouard , Sophie Lemosquet , Gonzalo Cantalapiedra-Hijar
Journées d'animation scientifique du département Phase, May 2022, Poitiers, France. pp.66, Résumés des crédits incitatifs - JAS 2022
Poster de conférence hal-03745901v1