Changes in the inline lactate dehydrogenase according to the cow’s production and reproduction status

Abstract:
The aim of the present study was to investigate inline lactate dehydrogenase (LDH) changes in clinically healthy dairy cows according to the number and stage of lactations, milk yield, and the reproduction status The LDH activity (μmol/min per litre) was measured using the drystick technology. A total of 378 cows were selected and classified according to their reproductive status into the following groups: fresh (1–44 days after calving); open (45–65 days after calving); inseminated (1–35 days after insemination); pregnant (35–60 days after insemination). According to their milk productivity, the cows were classified into the following groups: <15 kg/d, 15–25 kg/d, >25–35 kg/d, and >35 kg/d. They were milked with a DeLaval milking robot in combination with a Herd Navigator analyser. The results showed that the inline LDH concentration had a tendency to increase along with the increase in the number of lactation periods (P < 0.05). The highest level of LDH was observed in fresh cows 5–10 days in milk (DIM), and the highest LDH concentration was found in the milk of fresh cows. A positive statistically reliable relationship was found between the milk yield and LDH concentration (P < 0.05); LDH and milk somatic cell counts (SCC) were positively related in all groups of cows, although LDH concentration and SCC were the highest correlated variables in inseminated cows (P < 0.05). The present study shows that measuring LDH activity in milk is both easy and cost effective with high sensitivity and specificity, having a great potential as a diagnostic tool for detection of subclinical mastitis. Production, herd navigator, mastitis, health, SCC With inline monitoring, level shifts can be detected in real time as new observations are made. However, to use the continual stream of measurements, a framework that allows knowledge to accumulate is needed. The mathematical and statistical modelling of time series processes can be based on classes of state space models, also called dynamic models. Technological development has made it possible to conduct the automatic inline sampling and measurement of the components in milk. The lactate dehydrogenase (LDH) enzyme is found in the cytoplasm of all cells in the body, and during an inflammatory process involving cell damage and breakdown as observed during mastitis, it is released from the cells into the milk (Zank and Schlatterer 1998). In dairy milk, LDH is correlated with the somatic cell count (SCC) (Nyman et al. 2016), and is used as a mastitis indicator in commercial herd management (Friggens et al. 2007). The activity of LDH is increased because of mastitis (Fogsgaardet al. 2015). Previous studies have found a strong positive correlation between LDH and SCC (Zank and Schlatterer 1998; Hiss et al. 2007), and LDH is generally accepted as a useful mastitis indicator. However, the challenge of distinguishing between cows with latent infections and healthy cows based on LDH measurements has been described (Hiss et al. 2007). Attempts have been made to create mastitis detection systems using LDH as an indicator of infection. Chagunda et al. (2006) developed a dynamic deterministic model with a sensitivity and specificity for detecting ACTA VET. BRNO 2019, 88: 369–375; https://doi.org/10.2754/avb201988040369 Address for correspondence: Ramunas Antanaitis A. Mickevičiaus g. 9 44307 Kaunas, Lithuania Phone: +370 673 490 64 E-mail: ramunas.antanaitis@lsmuni.lt http://actavet.vfu.cz/ clinical mastitis at a level of 82% and 99%, respectively. In their study, healthy cows were defined as having no veterinary treatment within the incurrent lactation period and a SCC <100,000 cells/ml. The variation between cows and their immune response to subclinical mammary infection is a great challenge in the detection of subclinically infected cows through the observation of LDH levels (Jørgensen et al. 2016). According to Nyman et al. (2014), further studies are needed to investigate whether the diagnostic properties of LDH will improve with adjustment according to their relationship with other different cow factors when used as a diagnostic tool for finding cows with mastitis. The aim of the present study was to investigate inline LDH dynamic changes according to different cow factors –the number and stage of lactations, milk yield, and the reproduction status in clinically healthy dairy cows. Materials and Methods Location and experimental design The experiment was carried out on a dairy farm in the eastern region of Europe at 56 00 N 24 00 E, from January 15, 2017 to December 1, 2018. Lithuanian Black and White fresh dairy cattle were selected that had a second or higher lactations and were clinically healthy (during study) (an average rectal temperature of +38.8°C, rumen motility × 5–6 per 3 min without signs of mastitis, lameness or metritis). The study was performed on 378 dairy cattle from a herd of 550 cows. The animals were kept in a loose housing system and were fed a feed ration throughout the year at the same time balanced according to their physiological needs. The cows were milked × 2 per day at 06:00 h and 18:00 h, and the food was provided after each milking.
Author Listing: Dovilė Malašauskienė;Vida Juozaitiene;Mindaugas Televičius;Arūnas Rutkauskas;Mingaudas Urbutis;Virginijus Kanapė;Justina Gerbutavičiūte;Ramūnas Antanaitis
Volume: 88
Pages: 369-375
DOI: 10.2754/avb201988040369
Language: English
Journal: Acta Veterinaria Brno

ACTA VETERINARIA BRNO

ACTA VET BRNO

影响因子:0.6 是否综述期刊:否 是否OA:是 是否预警:不在预警名单内 发行时间:1969 ISSN:0001-7213 发刊频率:Quarterly 收录数据库:SCIE/Scopus收录 出版国家/地区:CZECH REPUBLIC 出版社:University of Veterinary and Pharmaceutical Sciences

期刊介绍

ACTA VETERINARIA BRNO is a scientific journal of the University of Veterinary and Pharmaceutical Sciences in Brno, Czech Republic.The scientific journal Acta Veterinaria Brno is dedicated to the publication of original research findings and clinical observations in veterinary and biomedical sciences. Original scientific research articles reporting new and substantial contribution to veterinary science and original methods that have not been submitted for publication elsewhere are considered for publication. A written statement to this effect should accompany the manuscript, along with approval for publication by the author´s head of department. The authors bear full responsibility for the contents of their contribution. Book reviews are published, too.

《布尔诺兽医学报》(Acta Veterinaria Brno)是捷克共和国布尔诺兽医和制药科学大学的科学期刊,专门发表兽医和生物医学科学的原创研究成果和临床观察。报告对兽医科学有新的和实质性贡献的原始科学研究文章以及尚未在其他地方提交发表的原始方法将被考虑发表。手稿应附有一份书面声明,沿着附有作者所在部门负责人的出版批准。作者对其稿件内容承担全部责任。书评也出版了。

年发文量 53
国人发稿量 -
国人发文占比 0%
自引率 33.3%
平均录取率 容易
平均审稿周期 较慢,18-36周
版面费 -
偏重研究方向 农林科学-兽医学
期刊官网 http://actavet.vfu.cz/
投稿链接 http://actavet.vfu.cz/submissions.html

质量指标占比

研究类文章占比 OA被引用占比 撤稿占比 出版后修正文章占比
94.34% 100.00% 0.00% 0.00%

相关指数

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期刊预警不是论文评价,更不是否定预警期刊发表的每项成果。《国际期刊预警名单(试行)》旨在提醒科研人员审慎选择成果发表平台、提示出版机构强化期刊质量管理。

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分区表升级版(试行)的优势:一是论文层级的主题体系既能体现学科交叉特点,又可以精准揭示期刊载文的多学科性;二是采用“期刊超越指数”替代影响因子指标,解决了影响因子数学性质缺陷对评价结果的干扰。整体而言,分区表升级版(试行)突破了期刊评价中学科体系构建、评价指标选择等瓶颈问题,能够更为全面地揭示学术期刊的影响力,为科研评价“去四唯”提供解决思路。相关研究成果经过国际同行的认可,已经发表在科学计量学领域国际重要期刊。

《2019年中国科学院文献情报中心期刊分区表升级版(试行)》首次将社会科学引文数据库(SSCI)期刊纳入到分区评估中。升级版分区表(试行)设置了包括自然科学和社会科学在内的18个大类学科。基础版和升级版(试行)将过渡共存三年时间,推测在此期间各大高校和科研院所仍可能会以基础版为考核参考标准。 提示:中科院分区官方微信公众号“fenqubiao”仅提供基础版数据查询,暂无升级版数据,请注意区分。

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