Estrus Detection in a Dairy Herd Using an Electronic Nose by Direct Sampling on the Perineal Region.

MENT-EGAS cattle heat detection non-invasive analysis pheromones precision farming

Journal

Veterinary sciences
ISSN: 2306-7381
Titre abrégé: Vet Sci
Pays: Switzerland
ID NLM: 101680127

Informations de publication

Date de publication:
09 Dec 2022
Historique:
received: 01 10 2022
revised: 09 11 2022
accepted: 08 12 2022
entrez: 22 12 2022
pubmed: 23 12 2022
medline: 23 12 2022
Statut: epublish

Résumé

Estrus detection is very important for the profitability of dairy herds. Different automatic systems for estrus detection have been developed over the last decades. Our study aimed to assess the ability of the electronic nose (EN) MENT-EGAS prototype to detect estrus, based on odor release from the perineal headspace in dairy cattle by direct sampling. The study was performed in an Italian dairy farm using 35 multiparous Holstein-Friesian cows. The cows were divided into three groups: group I included 10 lactating 5-month pregnant cows, group II included 19 lactating cycling cows, and group III included 6 cows that were artificially inseminated 18 days before the trial. Odors from the perineal headspace were collected using the MENT-EGAS prototype. In group I, odors were collected once a day for 5 consecutive days. In group II, odors were collected twice daily from day 18 until day 1 of the reproductive cycle. In group III, odors were also collected twice daily from the presumable day 18 of gestation until day 22. Principal component analyses (PCA) of the perineal headspace samples were performed. PCA in group I revealed no significant discrimination. PCA in group II revealed clear discrimination between proestrus and estrus, and between estrus and metestrus but no significant discrimination was obtained between proestrus and metestrus. PCA in group III revealed that in four cows the results were similar to group I and in two cows the results were similar to group II. On day 40 of the presumable pregnancy, the ultrasound examination revealed that only the four cows were pregnant and the other two cows were regularly cycling. On the basis of our findings, we conclude that it is possible to accurately detect estrus in dairy cattle from directly collected odor samples using the MENT-EGAS prototype. This represents the first study of estrus detection using an EN detection by direct sampling. EN technologies, such as MENT-EGAS, could be applied in the future in dairy cattle farms as a precise, non-invasive method for estrus detection.

Identifiants

pubmed: 36548849
pii: vetsci9120688
doi: 10.3390/vetsci9120688
pmc: PMC9786671
pii:
doi:

Types de publication

Journal Article

Langues

eng

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Auteurs

Asmaa S Ali (AS)

Department of Theriogenology, Faculty of Veterinary Medicine, Cairo University, Giza P.O. Box 12211, Egypt.

Joana G P Jacinto (JGP)

Department of Veterinary Medical Sciences, University of Bologna, 40126 Ozzano dell'Emilia, BO, Italy.

Wolf Mϋnchemyer (W)

AIRSENSE Analytics GmbH, 19061 Schwerin, Germany.

Andreas Walte (A)

AIRSENSE Analytics GmbH, 19061 Schwerin, Germany.

Arcangelo Gentile (A)

Department of Veterinary Medical Sciences, University of Bologna, 40126 Ozzano dell'Emilia, BO, Italy.

Andrea Formigoni (A)

Department of Veterinary Medical Sciences, University of Bologna, 40126 Ozzano dell'Emilia, BO, Italy.

Ludovica M E Mammi (LME)

Department of Veterinary Medical Sciences, University of Bologna, 40126 Ozzano dell'Emilia, BO, Italy.

Árpád Csaba Bajcsy (Á)

Clinic for Cattle, University of Veterinary Medicine Hannover, Foundation, 30559 Hannover, Germany.

Mohamed S Abdu (MS)

Department of Theriogenology, Faculty of Veterinary Medicine, Cairo University, Giza P.O. Box 12211, Egypt.

Mervat M Kamel (MM)

Department of Animal Management and Behavior, Faculty of Veterinary Medicine, Cairo University, Giza P.O. Box 12211, Egypt.

Abdel Raouf Morsy Ghallab (ARM)

Department of Theriogenology, Faculty of Veterinary Medicine, Cairo University, Giza P.O. Box 12211, Egypt.

Classifications MeSH