Behavioral and metabolic markers of cow morbidity in early lactation

Author:

Koziy V.,Poroshinska O.,Vovkotrub N.,Babenko S.,Piddubnyak O.,Koshelyev O.,Kozii N.,Lukianenko K.

Abstract

The high productivity of cows on modern dairy farms means that their bodies are used almost at full capacity. Even minor violations in the conditions of keeping or feeding can lead to a significant increase in the morbidity of animals. In such conditions, preventive veterinary medicine is the main task of a veterinarian. In practice, preventing the development of the disease means the veterinarian's ability to predict the occurrence of a problem, identify its cause in time and offer preventive measures. The purpose of this work was to get acquainted with behavioral and metabolic markers for predicting morbidity in cows during early lactation. According to the methodology for systematic reviews of the literature, a search and analysis of scientific articles according to the topic of the study, which were published during 2000–2023, was carried out. To search for scientific articles, the scientometric databases of the Web of Science Core Collection and PubMed were used. Analysis of the study of behavioral and metabolic markers of morbidity in cows during early lactation showed the significant relevance of the problem for dairy farming. A significant number of scientific articles are devoted to the study of this issue. A significant amount of the results of scientific research has practical significance and is used in production. The other part serves as a basis for the formation of new substantiated scientific hypotheses. This gives reason to believe that solving the problem of timely diagnosis and prevention of cow diseases during the transition period is a matter of the near future. Certain physiological and behavioral parameters (duration of chewing and feeding, time of rest and motor activity, social interaction) during the dry period can be important indicators of metabolic changes or diseases in cows at the beginning of lactation. The accuracy of forecasting with the help of such parameters increases with the increase in the duration of the study and the number of indicators used. Physiological and behavioral parameters recorded by automated milking systems can be successfully used to diagnose and predict health problems of dairy cows. Further research in this field is an important challenge for veterinary science. An increase in the time spent in a lying position, the number of periods of rest and agonistic contractions per day, a decrease in the duration of chewing, feeding and motor activity, especially in the last trimester of pregnancy, are associated with an increased likelihood of transition period diseases (ketosis, abomasum displacement, reproductive disorders, etc.). The study of behavioral and metabolic markers of morbidity in cows during early lactation proved the significant relevance of the problem for dairy farming. A significant number of scientific articles are devoted to the study of this issue. We believe that solving the problem of timely diagnosis and prevention of cow diseases during the transition period is an important task of veterinary medical science today.

Publisher

Oles Honchar Dnipropetrovsk National University

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3