Evidence map›Paper›PMID 42894837›Full record

ReviewTranslational animal science2026

Systematic mapping of threats to U.S. beef production.

Zhihong Xu, Shuai Ma, Anjorin Ezekiel Adeyemi, Jaehyun Ahn, Ashlynn Kogut, Xiting Zhuang, Guadalupe Ceja, Matt Baker, Kent Toyonaga, Tian Chen and 2 more

Abstract readReview
In one paragraph

Review in Translational animal science, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

12 authors.

Zhihong XuDepartment of Agricultural Leadership, Education and Communications, Texas A&M University, College Station, TX, United States.
Shuai MaDepartment of Agricultural Education, Communications and Leadership, Oklahoma State University, Stillwater, OK, United States.
Anjorin Ezekiel AdeyemiDepartment of Agriculture, Fort Hays State University, Hays, KS, United States.
Jaehyun AhnDepartment of Agricultural Education Communication, University of Florida, Gainesville, FL, United States.
Ashlynn KogutDepartment of Teaching, Learning and Culture, Texas A&M University, College Station, TX, United States.
Xiting ZhuangDepartment of Agribusiness and Applied Economics, North Dakota State University, Fargo, ND, United States.
Guadalupe CejaDepartment of Animal Science, Texas A&M University, College Station, TX, United States.
Matt BakerDepartment of Agricultural Leadership, Education and Communications, Texas A&M University, College Station, TX, United States.
Kent ToyonagaDepartment of Agricultural Leadership, Education and Communications, Texas A&M University, College Station, TX, United States.
Tian ChenDepartment of Agricultural Leadership, Education and Communications, Texas A&M University, College Station, TX, United States.
Fahmida Husain ChoudhuryDepartment of Agricultural Leadership, Education and Communications, Texas A&M University, College Station, TX, United States.
Abdul Saboor RahmanyDepartment of Agricultural Leadership, Education and Communications, Texas A&M University, College Station, TX, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

For the last 65 years, the United States (U.S.) agriculture has been a global leader in total factor productivity (TFP). Within this highly productive and diverse agri-food system, the beef cattle industry stands out distinctly in its operations and for its substantial contributions. After the 11 September 2001, attacks, potential threats to the U.S. agricultural sector, especially the beef supply chain, became a key concern. Agroterrorism and other cross-border threats pose severe challenges to this vital supply chain, raising food and national security concerns. This study aims to comprehensively map potential U.S. beef supply chain threats, focusing on the production phase. The production phase refers to the production phases before harvest: feed production, veterinary services, genetics/breeding, cow-calf operations, background and stocker operations, grass-finishing, and feedlots. The review focuses on three goals: (a) the distribution of research on threats to the production phase of the U.S. beef supply chain. (b) Systematically identify and categorize risks in U.S. beef production, focusing on variables such as threat categories, threat type, specific diseases, pathogens, transmission sources, and their impacts on stakeholders and cattle health. (c) Categorize the solutions/strategies. We set the time frame from 2010 to 2024 and included the publications in the CAB Abstracts (Ovid) database, grey literature from research organizations and conferences proceedings. Evidence and gap maps (EGMs) were employed to visualize the characteristics and distribution of the included studies and identify major scholarly interests and research gaps. This mapping review provides an accessible, comprehensive, and understandable synthesis of data that will inform stakeholders for quickly identifying trends and solutions from diverse research efforts nationally and globally, enabling more effective responses to emerging threats in the U.S. beef supply chain and providing valuable insights for future research to address gaps in the beef production phase.

Indexed as

beef supply chaincross-border threatsproduction phaseU.S

Identifiers

PMID42894837
PMCPMC13677081

What OpenQuestion holds

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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.