Short communication: Early modification of the circadian organization of cow activity in relation to disease or estrus
| Autor: | Marie-Madeleine Mialon, Isabelle Veissier, Karen Helle Sloth |
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| Přispěvatelé: | Unité Mixte de Recherches sur les Herbivores - UMR 1213 (UMRH), VetAgro Sup - Institut national d'enseignement supérieur et de recherche en alimentation, santé animale, sciences agronomiques et de l'environnement (VAS)-AgroSup Dijon - Institut National Supérieur des Sciences Agronomiques, de l'Alimentation et de l'Environnement-Institut National de la Recherche Agronomique (INRA), GEA Farm Technologies GmbH, European project 311825 EU-PLF, European Commission, Unité Mixte de Recherche sur les Herbivores - UMR 1213 (UMRH), Institut National de la Recherche Agronomique (INRA)-VetAgro Sup - Institut national d'enseignement supérieur et de recherche en alimentation, santé animale, sciences agronomiques et de l'environnement (VAS)-AgroSup Dijon - Institut National Supérieur des Sciences Agronomiques, de l'Alimentation et de l'Environnement, VetAgro Sup - Institut national d'enseignement supérieur et de recherche en alimentation, santé animale, sciences agronomiques et de l'environnement (VAS)-Institut National de la Recherche Agronomique (INRA)-AgroSup Dijon - Institut National Supérieur des Sciences Agronomiques, de l'Alimentation et de l'Environnement, Unité Mixte de Recherches sur les Herbivores ( UMR 1213 Herbivores ), VetAgro Sup ( VAS ) -AgroSup Dijon - Institut National Supérieur des Sciences Agronomiques, de l'Alimentation et de l'Environnement-Institut National de la Recherche Agronomique ( INRA ) |
| Jazyk: | angličtina |
| Rok vydání: | 2017 |
| Předmět: |
0301 basic medicine
analyse factorielle [SDV]Life Sciences [q-bio] Disease Mastitis adaptation comportementale Chronic stress dairy cows Gait 2. Zero hunger Chronobiology santé animale 04 agricultural and veterinary sciences Circadian Rhythm Dairying Milk Lameness vache laitière Female medicine.medical_specialty rythme biologique Cattle Diseases factor analysis Biology behavioral rhythm élevage de précision 03 medical and health sciences Animal science Estrus Internal medicine Genetics medicine Animals Humans Circadian rhythm Estrous cycle [ SDV ] Life Sciences [q-bio] animal health dairy cow 0402 animal and dairy science medicine.disease 040201 dairy & animal science 030104 developmental biology Endocrinology Animal Science and Zoology Factorial correspondence analysis Cattle Food Science precision livestock farming |
| Zdroj: | Journal of Dairy Science Journal of Dairy Science, American Dairy Science Association, 2017, 100 (5), pp.3969-3974. ⟨10.3168/jds.2016-11853⟩ Journal of Dairy Science, American Dairy Science Association, 2017, 100 (5), pp.3969-3974. 〈10.3168/jds.2016-11853〉 |
| ISSN: | 0022-0302 |
| DOI: | 10.3168/jds.2016-11853⟩ |
| Popis: | Biological rhythms are an essential regulator of life. There is evidence that circadian rhythm of activity is disrupted under chronic stress in animals and humans, and it may also be less marked during diseases. Here we investigated whether a detectable circadian rhythm of activity exists in dairy cows in commercial settings using a real-time positioning system. We used CowView (GEA Farm Technologies) to regularly record the individual positions of 350 cows in a Danish dairy farm over 5 nio and to infer the cows' activity (resting, feeding, in alley). We ran a factorial correspondence analysis on the cows' activities and used the first component of this analysis to express the variations in activity. On this axis, the activities obtained the following weights: resting = -0.15; in alleys = +0.12; feeding = +0.34. By applying these weights to the proportions of time each cow spent on each of the 3 activities, we were able to chart a circadian rhythm of activity. We found that average level of activity of a cow on a given clay and its variations during that day varied with specific states (i.e., estrus, lameness, mastitis). More specifically, circadian variations in activity appeared to be particularly sensitive and to vary 1 to 2 d before the farmer detected a. disorder. These findings offer promising avenues for further research to design models to predict physiological or pathological states of cows from real-time positioning data. |
| Databáze: | OpenAIRE |
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