Combinations of non-invasive indicators to detect dairy cows submitted to high-starch-diet challenge

Autor: Marie-Madeleine Mialon, Denys Durand, Christine Martin, Benoît Graulet, J. Bodin, Anne Ferlay, Clothilde Villot, Erminio Trevisi, Mathieu Silberberg
Přispěvatelé: Unité Mixte de Recherche 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)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), BR3 Consultants, Partenaires INRAE, Università cattolica del Sacro Cuore [Piacenza e Cremona] (Unicatt), PeriRAPa, 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 Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)
Jazyk: angličtina
Rok vydání: 2020
Předmět:
Saliva
Multivariate analysis
Starch
[SDV]Life Sciences [q-bio]
Pilot Projects
Urine
proxies
[SHS]Humanities and Social Sciences
0403 veterinary science
Feces
chemistry.chemical_compound
Longitudinal Studies
2. Zero hunger
amidon
Settore AGR/19 - ZOOTECNICA SPECIALE
04 agricultural and veterinary sciences
Animal culture
régime alimentaire
Dairying
Milk
vache laitière
Female
indicateur
multi-parametric analysis
Research Article
Rumen
Nitrogen
040301 veterinary sciences
Biology
SF1-1100
starch-rich ration
dairy cattle
proof of concept
Animal science
Dietary Carbohydrates
Animals
Lactation
[INFO]Computer Science [cs]
Dairy cattle
Non invasive
0402 animal and dairy science
Animal Feed
040201 dairy & animal science
Diet
chemistry
Welfare
Behaviour and Health Management
Cattle
Animal Science and Zoology
Zdroj: Animal, Vol 14, Iss 2, Pp 388-398 (2020)
Animal
Animal, Published by Elsevier (since 2021) / Cambridge University Press (until 2020), 2020, 14 (2), pp.388-398. ⟨10.1017/S1751731119001629⟩
animal
animal, Published by Elsevier (since 2021) / Cambridge University Press (until 2020), 2020, 14 (2), pp.388-398. ⟨10.1017/S1751731119001629⟩
Animal, . (2019)
ISSN: 1751-7311
1751-732X
Popis: International audience; High-starch diets (HSDs) fed to high-producing ruminants are often responsible for rumen dysfunction and could impair animal health and production. Feeding HSDs are often characterized by transient rumen pH depression, accurate monitoring of which requires costly or invasive methods. Numerous clinical signs can be followed to monitor such diet changes but no specific indicator is able to make a statement at animal level on-farm. The aim of this pilot study was to assess a combination of non-invasive indicators in dairy cows able to monitor a HSD in experimental conditions. A longitudinal study was conducted in 11 primiparous dairy cows fed with two different diets during three successive periods: a 4-week control period (P1) with a low-starch diet (LSD; 13% starch), a 4-week period with an HSD (P2, 35% starch) and a 3-week recovery period (P3) again with the LSD. Animal behaviour was monitored throughout the experiment, and faeces, urine, saliva, milk and blood were sampled simultaneously in each animal at least once a week for analysis. A total of 136 variables were screened by successive statistical approaches including: partial least squares-discriminant analysis, multivariate analysis and mixed-effect models. Finally, 16 indicators were selected as the most representative of a HSD challenge. A generalized linear mixed model analysis was applied to highlight parsimonious combinations of indicators able to identify animals under our experimental conditions. Eighteen models were established and the combination of milk urea nitrogen, blood bicarbonate and feed intake was the best to detect the different periods of the challenge with both 100% of specificity and sensitivity. Other indicators such as the number of drinking acts, fat:protein ratio in milk, urine, and faecal pH, were the most frequently used in the proposed models. Finally, the established models highlight the necessity for animals to have more than 1 week of recovery diet to return to their initial control state after a HSD challenge. This pilot study demonstrates the interest of using combinations of non-invasive indicators to monitor feed changes from a LSD to a HSD to dairy cows in order to improve prevention of rumen dysfunction on-farm. However, the adjustment and robustness of the proposed combinations of indicators need to be challenged using a greater number of animals as well as different acidogenic conditions before being applied on-farm.
Databáze: OpenAIRE
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