ReviewAnimals : an open access journal from MDPI2025
Methods of Observing the Signs of Approaching Calving in Cows-A Review.
Review in Animals : an open access journal from MDPI, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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.
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.
Who cites it
1 citing paper in PubMed.
- The Association Between Lunar Phases and Calving Frequency in Montbéliarde Dairy Cows in the Franche-Comté Region, France.Animals : an open access journal from MDPI · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Calving is a crucial event in dairy production, and predicting its exact date is challenging due to variable gestation lengths and environmental factors. Failure to recognize signs of impending calving can lead to dystocia, increased calf mortality, veterinary costs, and economic losses. This review discusses both invasive and non-invasive methods for monitoring calving signs. Invasive methods, such as temperature loggers, intra-vaginal GSM devices, and blood progesterone tests, provide direct physiological data but can cause stress to the animals. Non-invasive approaches, including the use of sensors on limbs, necks, or tails, as well as video monitoring systems, offer less intrusive alternatives, improving cow comfort. Advances in artificial intelligence (AI) and machine learning have enhanced the predictive accuracy of these methods, enabling better management of the calving process.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.