Estrous detection by continuous measurements of vaginal temperature and conductivity with supervised machine learning in cattle.


Journal

Theriogenology
ISSN: 1879-3231
Titre abrégé: Theriogenology
Pays: United States
ID NLM: 0421510

Informations de publication

Date de publication:
01 Jan 2019
Historique:
received: 11 05 2018
revised: 22 09 2018
accepted: 26 09 2018
pubmed: 8 10 2018
medline: 17 1 2019
entrez: 8 10 2018
Statut: ppublish

Résumé

This study aimed to evaluate the effectiveness of estrous detection technique based on continuous measurements of vaginal temperature (VT) and conductivity (VC) with supervised machine learning in cattle. The VT and VC of 17 cows in tie-stalls were measured using our developed wearable vaginal sensor from Day 11 (Day 0 = ovulation day) to Day 11 of the subsequent estrous cycle at 15-min interval. After the maximum VT and VC were extracted hourly, their changes were expressed as residual VT (rVT = actual VT - mean VT for the same time on the previous 3 days) and as VC ratio (VCr = actual VC/mean VC for the same time on Day 11-13), respectively, and were used for analysis. Trans-rectal ultrasonography was performed to monitor ovarian structure changes. The plasma concentrations of reproductive hormones (progesterone: P

Identifiants

pubmed: 30292860
pii: S0093-691X(18)30876-8
doi: 10.1016/j.theriogenology.2018.09.038
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

90-99

Informations de copyright

Copyright © 2019 Elsevier Inc. All rights reserved.

Auteurs

Shogo Higaki (S)

National Institute of Animal Health, National Agriculture and Food Research Organization, Tsukuba, Ibaraki, 305-0856, Japan.

Ryotaro Miura (R)

Department of Veterinary Science, Nippon Veterinary and Life Science University, Musashino, Tokyo, 180-8602, Japan.

Tomoko Suda (T)

National Institute of Animal Health, National Agriculture and Food Research Organization, Tsukuba, Ibaraki, 305-0856, Japan.

L Mattias Andersson (LM)

Ubiquitous MEMS and Micro Engineering Research Center, National Institute of Advanced Industrial Science and Technology, Tsukuba, Ibaraki, 305-8564, Japan.

Hironao Okada (H)

Ubiquitous MEMS and Micro Engineering Research Center, National Institute of Advanced Industrial Science and Technology, Tsukuba, Ibaraki, 305-8564, Japan.

Yi Zhang (Y)

Ubiquitous MEMS and Micro Engineering Research Center, National Institute of Advanced Industrial Science and Technology, Tsukuba, Ibaraki, 305-8564, Japan.

Toshihiro Itoh (T)

Ubiquitous MEMS and Micro Engineering Research Center, National Institute of Advanced Industrial Science and Technology, Tsukuba, Ibaraki, 305-8564, Japan; Graduate School of Frontier Sciences, University of Tokyo, Kashiwa, Chiba, 277-8563, Japan.

Fumikazu Miwakeichi (F)

Department of Statistical Modeling, The Institute of Statistical Mathematics, Tachikawa, Tokyo, 190-0014, Japan.

Koji Yoshioka (K)

National Institute of Animal Health, National Agriculture and Food Research Organization, Tsukuba, Ibaraki, 305-0856, Japan. Electronic address: kojiyos@affrc.go.jp.

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Classifications MeSH