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Enregistrement W2595529306

The validation of infrared thermography as a non-invasive tool to assess welfare in the horse (Equus caballus)

2011· article· en· W2595529306 sur OpenAlexfundno aff
K.R. Burton, Carol Hall, Chris Wells, E. Ellen Billett

Notice bibliographique

RevueNottingham Trent University's Institutional Repository (Nottingham Trent Repository) · 2011
Typearticle
Langueen
DomaineVeterinary
ThématiqueVeterinary Equine Medical Research
Établissements canadiensnon disponible
Organismes subventionnairesNational Institute of Allergy and Infectious DiseasesNatural Environment Research CouncilWellcome TrustBiotechnology and Biological Sciences Research CouncilMedical Research CouncilScottish Natural HeritageAgriculture and Agri-Food CanadaFundação para a Ciência e a TecnologiaRoyal Veterinary CollegeDirectorate for Biological SciencesAgrisearchNational Institutes of HealthUniversity of BristolScottish Funding CouncilState Scholarships FoundationUniversity of GlasgowPfizerSchweizerische Akademie der Medizinischen WissenschaftenRoyal College of Veterinary Surgeons Charitable TrustUniversidade do PortoMinistry of Higher Education, MalaysiaDepartment for Environment, Food and Rural Affairs, UK GovernmentEconomic and Social Research CouncilAnimal Welfare FoundationEuropean CommissionUniversity of LeedsConsejo Nacional de Ciencia y Tecnología
Mots-clésEquusThermographyHorseWelfareInfraredEnvironmental scienceEcologyPolitical scienceBiologyOpticsPhysicsLawPaleontology
DOInon disponible

Résumé

récupéré en direct d'OpenAlex

IntroductionThe relatively high saturated fatty acid (SFA) content in milk fat has raised criticism in the past since it is assumed to be associated with negative effects on human health, especially due to the presence of C12:0, C14:0 and C16:0.On the other hand, monounsaturated fatty acids (MUFA), such as c9 C18:1 (oleic; OA) and t11 C18:1 (vaccenic; VA) and polyunsaturated fatty acids (PUFA), such as n-3 and n-6 groups and c9t11 conjugated linoleic acid (CLA9) found in milk, have been linked to beneficial effects on human health (Haug et al. 2007).c9c12c15 C18:3 (ALN) and c9c12 C18:2 (LA) are the main n-3 and n-6 FA in milk respectively.Differences in milk fatty acid composition between different dairy management systems in UK, such as conventional, organic and low input, have been reported in other studies (Butler et al. 2008; Ellis et al. 2006).Grazing intake, silage and sward composition, forage:concentrate ratio and oilseed supplementation, all factors that widely vary between management systems, can be responsible for milk fat compositional differences (Dewhurst et al. 2006).In a previous study, a stronger effect on milk fatty acid composition was found when the differences on grazing intake between management systems were more extreme.The comparison between low input and conventional milk showed higher differences in milk fatty acid composition than when conventional milk was compared with organic (Butler et al. 2008).The aim of this study was to investigate and explain possible differences in milk fatty acid composition between farms under different management practices in the North East of England. Material and methodsMilk from the bulk tank of 20 farms in the North East of England, representing 4 different management systems, was collected every 8 weeks for 10 month period.Conventional systems are characterized by an average of 41% of their diet as concentrates, with conserved forage fed while animals are fully housed during winter but access to ryegrass pasture when conditions allowed in summer.In organic systems, cows graze in ryegrass/clover swards, usually between April and October, and are housed in winter, with an average 22% concentrate supplementation.On intensive farms, cows are milked 3 times per day, nutrition is consistent throughout the year and is based on silage, which in that case may also contain maize silage, and 49% concentrates.Farms that apply robotic milking were selected to have the same feeding practices as conventional farms in order to investigate the effect of milking procedure.Analysis of FA methyl esters was performed with a Gas Chromatography system (Shimadzu, GC-2014, Japan) using a Varian CP-SIL 88 fused silica capillary column (100m x 0.25mmID x 0.2µm film thickness).Peaks were identified using a 39 FAME and CLA isomer standards.Analysis of variance (ANOVA) using linear mixed effects model (LME) was used to analyze results in R statistical environment using "Management system" (conventional, organic, intensive, robotic) and "sampling month" (7 sampling months over one year) as fixed factors and farm number as random factor. ResultsCompared to conventional milk, organic milk showed significantly higher concentrations of C14:0, ALN, n-3 and n-3:n-6 ratio while milk from intensive farms showed higher milk n-6 concentrations.When organic milk was compared to milk from intensive farms, significantly higher concentrations of C14:0, VA, CLA9, ALN, n-3, higher n-3:n-6 ratio and significantly lower concentrations of LA were found.Robotic milking farms showed significantly higher milk concentrations of C12:0 and C14:0 and lower concentrations of CLA9 than conventional farms.Table 1 Relative proportions (%) of individual fatty acids and fatty acid groups in milk from organic, intensive and robotic farms compared with milk from conventional farms C12:0 C14:0 C16:0 Oleic VA CLA9 ALN LA SFA MUFA PUFA n-3 n-6 n-3:n-6 Organic +9.7 ab +8.4 a -6.5 -3.6 +15.2 a +6.7 a +76.3 a -12.0 b +0.8 -3.1 +7.0 a +69.4 a -11.0 b +84.0 a Intensive -0.9 b -0.8 b +2.2 -3.6 -21.6 b -21.6 b -18.8 b +28.7 a +1.4 -4.9 +9.8 a -18.2 b +28.2 a -35.1 c Robotic +16.8 a +8.1 a -1.1 -4.9 -20.0 b -25.2 b -1.7 b -14.2 b +2.7 -5.4 -13.2 b -2.9 b -12.3 b -16.9 b P-values

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction machine sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.

score de la tête « metaresearch » (Codex)0,004
score de la tête « metaresearch » (Gemma)0,005
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Expérimental (laboratoire) · Signal consensuel: Expérimental (laboratoire)
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,005
Score d'incertitude au seuil0,021

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0040,005
Méta-épidémiologie (sens strict)0,0010,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0010,000
Études des sciences et des technologies0,0000,001
Communication savante0,0010,001
Science ouverte0,0010,001
Intégrité de la recherche0,0010,001
Charge utile insuffisante (le modèle a refusé de juger)0,0010,000

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,064
Tête enseignante GPT0,298
Écart entre enseignants0,234 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeExpérimental (laboratoire)
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations2
Publié2011
Routes d'admission1
Résumé présentnon

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Même revueNottingham Trent University's Institutional Repository (Nottingham Trent Repository)Même sujetVeterinary Equine Medical ResearchTravaux en français237 207