Physiological Characterization Through Body Temperature And Respiration Frequency Of Beef Cattle In Pangandaran

M. Rifqi Ismira () and Novi Mayasari
Additional contact information
M. Rifqi Ismira: Staff of Animal Husbandry Program, PSDKU Universitas Padjadjaran, Pangandaran Campus, West Java, Indonesia
Novi Mayasari: Staff of Faculty of Animal Husbandry, Universitas Padjadjaran, Jatinangor, Sumedang, West Java, Indonesia

Big Data In Agriculture (BDA), 2020, vol. 2, issue 2, 63-64

Abstract: Physiological status is one of the indicators to determine the health status and productivity of livestock animals. This study aimed to characterize the physiological status of beef cattle in Pangandaran area through the measurement of body temperature dan respiration frequency. In total, 10 Ongole beef cattle, blocked by sex (6 bulls and 4 cows) and age (12 and 24 months), weighed 250±10 kg was involved in this study. The measured parameters were body temperature (consisted of three measurement points: head, body, and rectal) and respiration frequency. The data were analyzed by analysis of variances (ANOVA) to determine the effects of sex and age. The results showed that there were no effects of neither sex nor age to body temperature and respiration frequency (P>0.05). Body temperature data for bulls and cows were ranged at 30.44°C-31.11°C and 31.24°C-32.62°C, respectively. While the respiration frequency for bulls and cows were averaged at 35.11 times/minute and 30.90 times/minute, respectively. In conclusion, the physiological status of beef cattle in Pangandaran have been characterized through body temperature and respiration frequency, with no significant effect of neither sex nor age on both body temperature and respiration frequency. The data of this study, in turn, can be used by farmers to optimize management and achieve optimal productivity and profitability.

Keywords: beef cattle; sex; body temperature; respiration frequency; characterization (search for similar items in EconPapers)
Date: 2020
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
https://bigdatainagriculture.com/download/833/ (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:zib:zbnbda:v:2:y:2020:i:2:p:63-64

DOI: 10.26480/bda.02.2020.63.64

Access Statistics for this article

Big Data In Agriculture (BDA) is currently edited by Dr. Muhammad Azeem Khan

More articles in Big Data In Agriculture (BDA) from Zibeline International Publishing
Bibliographic data for series maintained by Zibeline International Publishing ( this e-mail address is bad, please contact ).