ReviewParasites & vectors2025
Sustainable management of tick infestations in cattle: a tropical perspective.
Review in Parasites & vectors, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
What it found
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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.
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Who cites it
9 citing papers in PubMed.
- Grass species and climatic season impact on Rhipicephalus microplus temporal abundance in a tropical region.Pest management science · 2026Article
- Investigation of Parasitic Ticks and the Potential Tick-Borne Pathogenic Fungi in Yunnan Province, Southwest China.Microorganisms · 2026Article
- Evaluation of Adaptive, Productive and Reproductive Performance of Boran Dairy Breed in the Lowland Agro-Ecology of Kaffa Zone, South-Western Ethiopia.Veterinary medicine and science · 2026Article
- Species diversity, distribution and habitat suitability modeling of ixodid ticks infesting cattle in selected districts of the North Wollo Zone, northeast Ethiopia.Experimental & applied acarology · 2026Article
- Advances in the use of entomopathogenic fungi to control ixodid ticks.Revista brasileira de parasitologia veterinaria = Brazilian journal of veterinary parasitology : Orgao Oficial do Colegio Brasileiro de Parasitologia Veterinaria · 2026Review
- Plants Used for Tick and Tick-Borne Disease Control in South Africa: Ethnoveterinary Knowledge, Bioactivity Evidence, and Translation Pathways.Plants (Basel, Switzerland) · 2025Review
- Challenges in combating tick-borne disease transmissions in India: Emphasizing the importance of a one-health approach.One health (Amsterdam, Netherlands) · 2025Review
- Adaptation and Invasion Dynamics ofInsects · 2025Review
- Blood plasma proteomics for detecting potential biomarkers for tick resistance in a tropically adapted beef cattle breed.BMC genomics · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The increasing challenge of tick infestations in cattle production systems calls for innovative and sustainable solutions. This article explores the diverse ethnoveterinary practices and livestock farming systems prevalent in tropical regions, capitalizing on the characteristic biodiversity, to provide valuable insights and lessons for tick management at a global scale. Additionally, leveraging the genetic diversity of indigenous cattle breeds presents a promising approach for reducing reliance on chemical acaricides and fostering eco-friendly practices. While genomic selection is the cornerstone for addressing the polygenic nature of tick resistance, complementary genomic tools such as marker-assisted selection (MAS) can still play a valuable role. Integrating MAS and genomic tools could facilitate the development of tick-resistant cattle breeds, benefiting both tropical and temperate regions. Addressing challenges such as limited genomic resources, region-specific phenotyping methods, and the need for robust data infrastructure is essential for achieving tick management through genetic selection. Thus, tropical countries can contribute not only to their own livestock agriculture but also to global efforts in sustainable tick management. While some integrated approaches exist, further research is needed to objectively evaluate and optimize the combination of these different management strategies to effectively address tick challenges.
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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.