Evidence map›Paper›PMID 33920437›Full record

ReviewSensors (Basel, Switzerland)2021

Factors Affecting Site Use Preference of Grazing Cattle Studied from 2000 to 2020 through GPS Tracking: A Review.

M Jordana Rivero, Patricia Grau-Campanario, Siobhan Mullan, Suzanne D E Held, Jessica E Stokes, Michael R F Lee, Laura M Cardenas

Abstract readReview
In one paragraph

Review in Sensors (Basel, Switzerland), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed
–field-weighted citation impact
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

25 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Review
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Habitat Selection by Free-Grazing Sheep in a Mountain Pasture.Animals : an open access journal from MDPI · 2024
    Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Review
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

7 authors.

M Jordana RiveroSustainable Agriculture Sciences, Rothamsted Research North Wyke, Okehampton EX20 2SB, Devon, UK.ORCID 0000-0002-9045-289X
Patricia Grau-CampanarioSustainable Agriculture Sciences, Rothamsted Research North Wyke, Okehampton EX20 2SB, Devon, UK.
Siobhan MullanBristol Veterinary School, University of Bristol, Langford BS40 5DU, Somerset, UK.
Suzanne D E HeldBristol Veterinary School, University of Bristol, Langford BS40 5DU, Somerset, UK.
Jessica E StokesBristol Veterinary School, University of Bristol, Langford BS40 5DU, Somerset, UK.ORCID 0000-0001-8933-2981
Michael R F LeeSustainable Agriculture Sciences, Rothamsted Research North Wyke, Okehampton EX20 2SB, Devon, UK.ORCID 0000-0001-7451-5611
Laura M CardenasSustainable Agriculture Sciences, Rothamsted Research North Wyke, Okehampton EX20 2SB, Devon, UK.ORCID 0000-0002-4401-9163

Funding

Biotechnology and Biological Sciences Research Council BBS/E/C/000I0320
6 · The paper itself

Abstract

Understanding the behaviour of grazing animals at pasture is crucial in order to develop management strategies that will increase the potential productivity of grazing systems and simultaneously decrease the negative impact on the environment. The objective of this review was to summarize and analyse the scientific literature that has addressed the site use preference of grazing cattle using global positioning systems (GPS) collars in the past 21 years (2000-2020) to aid the development of more sustainable grazing livestock systems. The 84 studies identified were undertaken in several regions of the world, in diverse production systems, under different climate conditions and with varied methodologies and animal types. This work presents the information in categories according to the main findings reviewed, covering management, external and animal factors driving animal movement patterns. The results showed that some variables, such as stocking rate, water and shade location, weather conditions and pasture (terrain and vegetation) characteristics, have a significant impact on the behaviour of grazing cattle. Other types of bio-loggers can be deployed in grazing ruminants to gain insights into their metabolism and its relationship with the landscape they utilise. Changing management practices based on these findings could improve the use of grasslands towards more sustainable and productive livestock systems.

Indexed as

Geographic Information SystemsLivestockAnimal HusbandryAnimalsCattleRuminantsWaterWeatherWatercattle distributiongrazing livestockgrazing patternslandscape usesite selectionsustainable grazing

Identifiers

PMID33920437
PMCPMC8069350

What OpenQuestion holds

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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.