Literature DB >> 23769360

Influence of breed, milk production, season, and ambient temperature on dairy cow reticulorumen temperature.

D Liang1, C L Wood, K J McQuerry, D L Ray, J D Clark, J M Bewley.   

Abstract

Automatic monitoring of core body temperature in dairy cattle could be useful for identification of illness, heat stress, general physiological stress, and estrus. The SmartBolus (TenXSys Inc., Eagle, ID) system used a reticulorumen bolus to automatically record and transmit dairy cow temperatures. The objective of this research was to characterize the influence of milk yield (MY), time of day, breed, ambient temperature (AT), and season on reticulorumen temperatures (RT) in lactating dairy cows. Continuous RT and AT were collected by SmartBolus transponders every 15 min (96 records per d) from 93 cows (65 Holstein, 18 crossbred, and 10 Jersey) for 615 d. Mean (±SD) daily RT, AT, and MY were 40.14±0.32°C, 12.20±10.61°C, and 33.85±8.67 kg, respectively. The maximum and minimum RT were recorded at 2330 and 1000 h, respectively. Ambient temperature increased RT. Summer RT was significantly greater than spring, fall, or winter RT. The effect of MY on RT varied by breed, season, and AT. Crossbred RT was significantly lower than Holstein RT after adjusting for MY. Crossbred RT responded less to increasing AT than did Holstein RT, potentially indicating improved heat tolerance among these crossbred dairy cows. Reticulorumen temperature increased more dramatically for cows with greater milk yield as AT increased, demonstrating that high-producing cows are more susceptible to heat stress than low-producing cows. These results could be useful in interpretation of automatic temperature system data, heat stress management, and genetic selection of heat-tolerant cows.
Copyright © 2013 American Dairy Science Association. Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  biosensor; precision dairy farming; reticulorumen temperature; temperature monitoring

Mesh:

Year:  2013        PMID: 23769360     DOI: 10.3168/jds.2012-6537

Source DB:  PubMed          Journal:  J Dairy Sci        ISSN: 0022-0302            Impact factor:   4.034


  2 in total

1.  Automated measurement of cattle surface temperature and its correlation with rectal temperature.

Authors:  HongXiang Kou; YiQiang Zhao; Kang Ren; XiaoLi Chen; YongQiang Lu; Dong Wang
Journal:  PLoS One       Date:  2017-04-20       Impact factor: 3.240

2.  Impact of Observed and Controlled Water Intake on Reticulorumen Temperature in Lactating Dairy Cattle.

Authors:  Melissa C Cantor; Joao H C Costa; Jeffrey M Bewley
Journal:  Animals (Basel)       Date:  2018-10-31       Impact factor: 2.752

  2 in total

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