Russian Federation
Abstract. In modern conditions of intensification of the agro-industrial complex of our country, the level of influence of stress factors on the indicators of dairy productivity of cattle is an urgent topic for research. According to scientists, the stress resistance of the animal body is characterized by a number of hormones, such as prolactin, adrenocorticotropic hormone and cortisol. The scientific novelty lies in the study of the level of stress resistance of cattle with the use of intensive technologies. The purpose of our research work was to analyze the indicators of stress resistance and dairy productivity of cattle in the Urals, depending on the milking technology. Research methods. Scientific work was carried out in breeding herds of black-and-white cattle in the period 2016–2019 on the basis of agricultural enterprises of the Tyumen and Sverdlovsk regions. Distributing the evaluated heifers by types of stress resistance, the level of hormones in their blood was determined during the first lactation in the laboratory using STEROIDIF tests. Results. As a result of the analysis, it was found that in the groups where milking was used in the milk pipeline, animals with a high type of stress resistance had 22.6 % more heads compared to the groups of robotic milking. At the same time, it was noted that the first heifers with an average type of stress resistance during milking by a robot milker are a quarter more than in groups of cows when milking in a milk pipeline. Consequently, the first heifers adapt better to robotic milking. Milk yield is higher for first-time heifers milked with the help of a robot milker compared to linear milking. The difference in this case was more than 700.0 kg (17.3 %) in the studied herds. We recommend that when selecting first-calf cows for intensive milking in breeding herds of the Urals, along with generally accepted assessment indicators, the level of stress resistance of animals should be evaluated.
milk productivity of cows, stress resistance of cows, hormones, cortisol, adrenocorticotropic hormone, prolactin
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