Literature DB >> 35976483

How should the respiration rate be counted in cattle?

L Dißmann1, J Heinicke2, K C Jensen3, T Amon2,4, G Hoffmann2.   

Abstract

Respiration rate (RR) is a proficient indicator to measure the health status of cattle. The common method of measurement is to count the number of respiratory cycles each minute based on flank movements. However, there is no consistent method of execution. In previous studies, various methods have been described, including counting flank movements for 15 s, 30 s or 60 s as well as stopping the time for 5 or 10 breaths. We assume that the accuracy of the aforementioned methods differs. Therefore, we compared their precision with an RR sensor, which was used as the reference method in this study. Five scientists from the fields of agricultural science and veterinary medicine quantified the flank movement according to each of the five methods mentioned above. The results showed that with an average RR of 30 breaths per minute (bpm), all methods showed a high correlation to the values of the RR sensor. However, counting breaths for 60 s had the highest level of conformity with the RR sensor (Lin`s concordance correlation coefficient: 0.96) regardless of the level of RR. With rising RR, the inaccuracy increased significantly for the other four investigated methods, especially when counting 5 and 10 breaths. Therefore, we would recommend that counting for 60 s should be used as the standard method for future studies due to its high precision regardless of the level of RR.
© 2022. The Author(s).

Entities:  

Keywords:  Flank movement; Method; Respiration rate; Respiration rate sensor

Year:  2022        PMID: 35976483     DOI: 10.1007/s11259-022-09984-7

Source DB:  PubMed          Journal:  Vet Res Commun        ISSN: 0165-7380            Impact factor:   2.816


  7 in total

1.  Technical note: Device for measuring respiration rate of cattle under field conditions.

Authors:  H F M Milan; A S C Maia; K G Gebremedhin
Journal:  J Anim Sci       Date:  2016-12       Impact factor: 3.159

2.  Predicting rectal temperature and respiration rate responses in lactating dairy cows exposed to heat stress.

Authors:  Gan Li; Siyu Chen; Jian Chen; Dandan Peng; Xianhong Gu
Journal:  J Dairy Sci       Date:  2020-04-08       Impact factor: 4.034

3.  Technical note: Development of a noninvasive respiration rate sensor for cattle.

Authors:  S Strutzke; D Fiske; G Hoffmann; C Ammon; W Heuwieser; T Amon
Journal:  J Dairy Sci       Date:  2018-11-08       Impact factor: 4.034

4.  The use of infrared thermography and accelerometers for remote monitoring of dairy cow health and welfare.

Authors:  M Stewart; M T Wilson; A L Schaefer; F Huddart; M A Sutherland
Journal:  J Dairy Sci       Date:  2017-03-02       Impact factor: 4.034

5.  A field study of the behavioral and physiological effects of varying amounts of shade for lactating cows at pasture.

Authors:  K E Schütz; N R Cox; C B Tucker
Journal:  J Dairy Sci       Date:  2014-04-14       Impact factor: 4.034

Review 6.  User's guide to correlation coefficients.

Authors:  Haldun Akoglu
Journal:  Turk J Emerg Med       Date:  2018-08-07

7.  Breathing Pattern Analysis in Cattle Using Infrared Thermography and Computer Vision.

Authors:  Sueun Kim; Yuichi Hidaka
Journal:  Animals (Basel)       Date:  2021-01-16       Impact factor: 2.752

  7 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.