FACTORS OF INFLUENCE ON THE MORBIDITY BY MASTITIS OF COWS
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Bibliographic record
Abstract
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.
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it