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Enregistrement W2902072073 · doi:10.31073/abg.56.03

FACTORS OF INFLUENCE ON THE MORBIDITY BY MASTITIS OF COWS

2018· article· en· W2902072073 sur OpenAlex
А. A. Viniukov, А. O. Viniukov

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Notice bibliographique

RevueAnimal Breeding and Genetics · 2018
Typearticle
Langueen
DomaineAgricultural and Biological Sciences
ThématiqueAgriculture and Biological Studies
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésCullingMilkingMastitisHerdLactationUdderAnimal scienceVeterinary medicineProductivityBiologyMedicinePregnancy

Résumé

récupéré en direct d'OpenAlex

Diseases of mastitis of dairy livestock cause significant economic losses, exceeding losses from all non-communicable diseases combined. It leads to a sharp decline in milk production or interruption of lactation, premature culling of milking premature culling of dairy herd, large material costs. In addition, the problem of mastitis is of social importance, because when eating milk containing pathogenic microorganisms or their toxins, people, especially children, also have serious illnesses.
 The aim of the research is to determine the factors affecting the level of cow damage with mastitis.
 The research was conducted in 2014–2016 on dairy farms in Donetsk region. Average milk yield per cow per year in the farms was at the level of 4000–5055 kg of milk. Before the beginning of the experiment, a structural analysis of the dairy herds was carried out on the farms, taking into account the age of the cows, the physiological state, the stage of lactation, productivity and pedigree composition.
 Diagnosis of subclinical mastitis in milk cows was carried out by mastidinovoy breakdown on control plates. The dependence of the number of hidden mastitis on such indicators as milk yield, lactation stage, elements of technology of keeping, age of animals and season of the year was taken into account.
 Research methods: experimental, supplemented by analytical studies, measurements, calculations and observations.
 It is showed that the structure of the herd of enterpriceses AgroPromservice, Bogoyavlinske, VostokAgro and Rossiya is approximately. It was found that with two-time milking their number was 20.5%, for two-time milking with milking it was 23.9%, and with three-time milking a day it was 17.6%.
 Influence of disinfection of the nipples of the mammary gland after milking with the drug "De Laval" "Dipal-concentrate" showed that with a double treatment the incidence of mastitis was 26.4%; When disinfectiont of the nipples of the breast after milking once a day, this indicator increases by 5.3%.
 Analysis of the disinfection of the teat with iodine and glycerin after each milking showed that the incidence of mammary gland hidden mastitis is reduced from 39.3% to 30.8%, that is, 8.5%.
 It was revealed that the incidence in the summer and winter periods ranged from 14.6 to 23.9%, in the spring and autumn periods from 19.5 to 36.9%.
 Studies have shown that the number of mammary gland diseases depends on the age of the animals, in particular, in primiparous animals it was less than in older cows.
 The most resistant to the disease are low-productive animals with a productivity of 3000 kg of milk and less for lactation (the number of diseases was 2.6–9.0%). With the increase in milk productivity from 4000–5500 kg of milk and more the number of diseases increases to 13.9–50.8%.
 Analysis of the presence of subclinical mastitis in farms, depending on the lactation stage of cows, indicates that the greatest number of hidden mastitis occurs in the second or fourth months of lactation, at 10–11 months of lactation and significantly decreases in the middle of lactation.
 Thus, the factors influencing the level of cow damage with mastitis were determined: milk productivity, lactation stage, milking and maintenance technology, animal age and season of year. The most influential factors are the productivity of animals and the technology of milking and keeping animals.

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.

Prédiction distillée sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.

score de la tête « metaresearch » (Codex)0,000
score de la tête « metaresearch » (Gemma)0,000
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Observationnel · Signal consensuel: aucune
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,680
Score d'incertitude au seuil0,104

Scores Codex et Gemma par catégorie

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

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 Opus0,055
Tête enseignante GPT0,230
Écart entre enseignants0,174 · 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