| Issue |
E3S Web of Conf.
Volume 390, 2023
VIII International Conference on Advanced Agritechnologies, Environmental Engineering and Sustainable Development (AGRITECH-VIII 2023)
|
|
|---|---|---|
| Article Number | 02043 | |
| Number of page(s) | 5 | |
| Section | Innovative Development of Sustainable Systems of Agrarian-and-Food Production | |
| DOI | https://doi.org/10.1051/e3sconf/202339002043 | |
| Published online | 01 June 2023 | |
Evaluation of milk quality indicators depending on seasonality in the conditions of JSC Kirov Volgograd region
1 Volga Region Research Institute of Manufacture and Processing of Meat-and-Milk Production, Marshal Rokossovsky, 6, Volgograd, 400066, Russian Federation
2 Volgograd State Technical University, V I Lenin Avenue, 28, Volgograd, 400005, Russian Federation
3 National Research University "Higher School of Economics", Moscow, Russian Federation
* Corresponding author: niimmp@mail.ru
The paper presents the results of studying the influence of the season on the change in the physico-chemical and amino acid composition of milk obtained from black-and-white cows. During the analysis, it was revealed that the composition of milk throughout the year was not constant. The highest fat content in milk was produced in autumn and winter, while the highest protein content was found in spring and summer milk. The amino acid composition of milk in the autumn-winter period is higher compared to the spring-summer period, which is due to a change in the diet, namely the predominance of concentrated feeds in winter. Based on the data obtained, it can be assumed that the milk produced by JSC named after Kirov, meets all requirements and can be recommended for the production of high-quality food.
© The Authors, published by EDP Sciences, 2023
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.