Literature DB >> 22444552

The use of digital infrared thermal imaging to detect estrus in gilts.

D J Sykes1, J S Couvillion, A Cromiak, S Bowers, E Schenck, M Crenshaw, P L Ryan.   

Abstract

Yorkshire/Landrace crossbred gilts (N = 32) were evaluated using digital infrared thermal imaging (DITI) to discriminate between estrus and diestrus phases of the porcine estrous cycle. Gilts (N = 32) were part of an ongoing reproductive efficiency study involving the use of raw soybean (RSB; N = 15) versus soybean meal (SBM; N = 17) as a source of dietary protein. Gilts were monitored daily for signs of estrus using a teaser boar. Thermal images of vulva surface temperatures (TEMP) were recorded at standing estrus and diestrus. Measurements for analysis included minimum (MIN), maximum (MAX), mean (AVG), and standard deviation (SD) of temperature gradients. At imaging, ambient (AMB) and rectal temperatures (RT) were recorded, and blood samples taken for serum progesterone (P(4)) concentration analysis (by RIA) to confirm stage of cycle. Mean serum progesterone values at estrus and diestrus were (mean ± SD) 1.0 ± 0.1 and 10.9 ± 0.8 ng/mL, respectively. Vulva MIN, MAX, and AVG thermal images were positively correlated with one another (P < 0.01), and were positively correlated with ambient temperature (P < 0.01). Vulva MAX and AVG thermal temperatures were greater (P < 0.05) at estrus than at diestrus (36.6 ± 0.2 °C and 33.4 ± 0.3 °C vs. 35.6 ± 0.3 °C and 31.8 ± 0.6 °C, respectively), whereas MIN and SD had no differences (P > 0.05) between stages of the cycle. No differences (P > 0.05) in RT were detected between stages and RT was not significantly correlated with vulva thermal images. Diet had no significant effect on RT or vulva temperature.
Copyright © 2012. Published by Elsevier Inc.

Entities:  

Mesh:

Year:  2012        PMID: 22444552     DOI: 10.1016/j.theriogenology.2012.01.030

Source DB:  PubMed          Journal:  Theriogenology        ISSN: 0093-691X            Impact factor:   2.740


  10 in total

1.  A Systematic Review on Validated Precision Livestock Farming Technologies for Pig Production and Its Potential to Assess Animal Welfare.

Authors:  Yaneth Gómez; Anna H Stygar; Iris J M M Boumans; Eddie A M Bokkers; Lene J Pedersen; Jarkko K Niemi; Matti Pastell; Xavier Manteca; Pol Llonch
Journal:  Front Vet Sci       Date:  2021-05-14

2.  Can Handheld Thermal Imaging Technology Improve Detection of Poachers in African Bushveldt?

Authors:  Adam G Hart; Richard N Rolfe; Shantelle Dandy; Hannah Stubbs; Dougal MacTavish; Lynne MacTavish; Anne E Goodenough
Journal:  PLoS One       Date:  2015-06-25       Impact factor: 3.240

Review 3.  Infrared skin temperature measurements for monitoring health in pigs: a review.

Authors:  Dennis Dam Soerensen; Lene Juul Pedersen
Journal:  Acta Vet Scand       Date:  2015-02-03       Impact factor: 1.695

Review 4.  Infrared thermography: A potential noninvasive tool to monitor udder health status in dairy cows.

Authors:  M Sathiyabarathi; S Jeyakumar; A Manimaran; G Jayaprakash; Heartwin A Pushpadass; M Sivaram; K P Ramesha; D N Das; Mukund A Kataktalware; M Arul Prakash; R Dhinesh Kumar
Journal:  Vet World       Date:  2016-10-15

5.  Skin temperature and reproductive condition in wild female chimpanzees.

Authors:  Christof Neumann; Klaus Zuberbühler; Guillaume Dezecache; Claudia Wilke; Nathalie Richi
Journal:  PeerJ       Date:  2017-12-05       Impact factor: 2.984

6.  The use of infrared thermography to detect the stages of estrus cycle and ovulation time in anatolian shepherd dogs.

Authors:  Kemal Tuna Olğaç; Ergun Akçay; Beste Çil; Burak Mehmet Uçar; Ali Daşkın
Journal:  J Anim Sci Technol       Date:  2017-10-09

7.  Variations in the body surface temperature of sows during the post weaning period and its relation to subsequent reproductive performance.

Authors:  Ruey-Chee Weng
Journal:  Asian-Australas J Anim Sci       Date:  2019-08-26       Impact factor: 2.509

Review 8.  Progress on Infrared Imaging Technology in Animal Production: A Review.

Authors:  Shuailong Zheng; Changfan Zhou; Xunping Jiang; Jingshu Huang; Dequan Xu
Journal:  Sensors (Basel)       Date:  2022-01-18       Impact factor: 3.576

9.  Systematic review of animal-based indicators to measure thermal, social, and immune-related stress in pigs.

Authors:  Raúl David Guevara; Jose J Pastor; Xavier Manteca; Gemma Tedo; Pol Llonch
Journal:  PLoS One       Date:  2022-05-05       Impact factor: 3.752

10.  Oestrus Analysis of Sows Based on Bionic Boars and Machine Vision Technology.

Authors:  Kaidong Lei; Chao Zong; Xiaodong Du; Guanghui Teng; Feiqi Feng
Journal:  Animals (Basel)       Date:  2021-05-21       Impact factor: 2.752

  10 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.