Evidence map›Paper›PMID 36548849›Full record

ArticleVeterinary sciences2022

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

Asmaa S Ali, Joana G P Jacinto, Wolf Mϋnchemyer, Andreas Walte, Arcangelo Gentile, Andrea Formigoni, Ludovica M E Mammi, Árpád Csaba Bajcsy, Mohamed S Abdu, Mervat M Kamel and 1 more

Open access · goldAbstract read
In one paragraph

Article in Veterinary sciences, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
1.6field-weighted citation impact, top 18% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

7 citing papers in PubMed, 12 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors at 4 institutions in 3 countries.

Asmaa S AliDepartment of Theriogenology, Faculty of Veterinary Medicine, Cairo University, Giza P.O. Box 12211, Egypt.ORCID 0000-0003-2969-5777
Joana G P JacintoDepartment of Veterinary Medical Sciences, University of Bologna, 40126 Ozzano dell'Emilia, BO, Italy.ORCID 0000-0002-6438-7975
Wolf MϋnchemyerAIRSENSE Analytics GmbH, 19061 Schwerin, Germany.
Andreas WalteAIRSENSE Analytics GmbH, 19061 Schwerin, Germany.
Arcangelo GentileDepartment of Veterinary Medical Sciences, University of Bologna, 40126 Ozzano dell'Emilia, BO, Italy.ORCID 0000-0002-6091-8978
Andrea FormigoniDepartment of Veterinary Medical Sciences, University of Bologna, 40126 Ozzano dell'Emilia, BO, Italy.ORCID 0000-0002-8109-2482
Ludovica M E MammiDepartment of Veterinary Medical Sciences, University of Bologna, 40126 Ozzano dell'Emilia, BO, Italy.ORCID 0000-0002-7344-0686
Árpád Csaba BajcsyClinic for Cattle, University of Veterinary Medicine Hannover, Foundation, 30559 Hannover, Germany.ORCID 0000-0003-4597-8048
Mohamed S AbduDepartment of Theriogenology, Faculty of Veterinary Medicine, Cairo University, Giza P.O. Box 12211, Egypt.
Mervat M KamelDepartment of Animal Management and Behavior, Faculty of Veterinary Medicine, Cairo University, Giza P.O. Box 12211, Egypt.
Abdel Raouf Morsy GhallabDepartment of Theriogenology, Faculty of Veterinary Medicine, Cairo University, Giza P.O. Box 12211, Egypt.
Cairo University · EGUniversity of Bologna · ITClimate Analytics · DEUniversity of Veterinary Medicine Hannover, Foundation · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

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.

Indexed as

cattleheat detectionMENT-EGASnon-invasive analysispheromonesprecision farming

Identifiers

PMID36548849
PMCPMC9786671
OpenAlexW4312128075

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.