The DOI matches its Crossref record; 21 of the 21 references it cites were found in a registry or an index.
Meta-analysis of the effects of monensin in beef cattle on feed efficiency, body weight gain, and dry matter intake1
Abstract
A meta-analysis of the impact of monensin on growing and finishing beef cattle was conducted after a search of the literature. A total of 40 peer-reviewed articles and 24 additional trial reports with monensin feeding in beef cattle were selected, after meeting apriori quality criteria. Data for each trial were extracted and analyzed using meta-analysis software in STATA. Estimated effect size of monensin was calculated for feed efficiency (FE), ADG, and DMI. Monensin use in growing and finishing beef cattle reduced DMI (P < 0.001) and improved both ADG (P < 0.001) and FE (P < 0.001). The average concentration of monensin in feed across studies was 28.1 mg/kg feed (100% DM) and this resulted in approximately a 6.4% (but only 2.5 to 3.5% in the last 2 decades) increase in FE, 3% decrease in DMI, and 2.5% increase in ADG. All 3 outcomes displayed moderate and significant heterogeneity of monensin response (I(2), which is a measure of variation beyond chance, = 29% for FE, 42% for DMI, and 23% for ADG); therefore, random effects models were used for those outcomes. There were no single influential studies that overweighted the findings for any outcome. Meta-regression analysis of the effect sizes obtained from these data showed that dietary factors, dose, and study design were influential in modifying effect size of monensin treatment. Use of corn silage in the diet influenced the effect size of monensin for DMI and FE, with diets containing corn silage resulting in a greater improvement in FE and a larger effect on reducing DMI. Studies conducted to assess multiple doses of monensin showed similar effects to the use of corn silage in the diet. Studies conducted in the United States or with higher ADG in control animals (>1.17 kg/d) showed less effect of monensin on ADG. Pen-level studies showed a greater monensin increase on ADG than did those conducted on individual animals. Linear effect of monensin dose was observed for FE, DMI, and ADG outcomes, with greater effects on improving FE and reducing DMI with larger doses of monensin but lesser improvement in ADG with increasing dose. These findings confirm that monensin improves FE in growing and finishing beef cattle, and that this effect is linear with dose.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Measuring inconsistency in meta-analyses
Higgins, J. P. T., Thompson, S. G., Deeks, J. J., & Altman, D. G. (2003) · BMJ · doi:10.1136/bmj.327.7414.557 · Cited by 63,139
Bias in meta-analysis detected by a simple, graphical test
Egger, M., Smith, G. D., Schneider, M., & Minder, C. (1997) · BMJ · doi:10.1136/bmj.315.7109.629 · Cited by 56,722
Operating characteristics of a rank correlation test for publication bias
Begg, C. B., & Mazumdar, M. (1994) · Biometrics · doi:10.2307/2533446 · Cited by 16,955
Systematic Reviews in Health Care : Meta-Analysis in Context
Egger, M., Smith, G. D., & Altman, D. G. (2000) · Cited by 2,312
Monensin Mode of Action in the Rumen
Schelling, G. T. (1984) · Journal of Animal Science · doi:10.2527/jas1984.5861518x · Cited by 350
Effect of Monensin on Rumen Fermentation in Vitro and in Vivo
Richardson, L. F., Raun, A. P., Potter, E. L., Cooley, C. O., & Rathmacher, R. P. (1976) · Journal of Animal Science · doi:10.2527/jas1976.433657x · Cited by 336
Hypocalcemia in Dairy Cows: Meta-analysis and Dietary Cation Anion Difference Theory Revisited
Lean, I. J., DeGaris, P. J., McNeil, D. M., & Block, E. (2006) · Journal of Dairy Science · doi:10.3168/jds.s0022-0302(06)72130-0 · Cited by 271
Invited review: Use of meta-analysis in animal health and reproduction: Methods and applications
Lean, I. J., Rabiee, A. R., Duffield, T. F., & Dohoo, I. R. (2009) · Journal of Dairy Science · doi:10.3168/jds.2009-2140 · Cited by 257
Self-citationSystematic Reviews in Health Care: Meta‐analysis in Context
Pittler, M. (2002) · Focus on Alternative and Complementary Therapies · doi:10.1111/j.2042-7166.2002.tb05479.x · Cited by 249
Inhibitory Effects of Lipophilic Acids and Related Compounds on Bacteria and Mammalian Cells
Sheu, C. W., Salomon, D., Simmons, J. L., Sreevalsan, T., & Freese, E. (1975) · Antimicrobial Agents and Chemotherapy · doi:10.1128/aac.7.3.349 · Cited by 248
Cited by
Human Genetics Shape the Gut Microbiome
Goodrich, J. K., Waters, J. L., Poole, A. C., Sutter, J. L., Koren, O., Blekhman, R., Beaumont, M., Van Treuren, W., Knight, R., Bell, J. T., et al. (2014) · Cell · doi:10.1016/j.cell.2014.09.053 · Cited by 3,164
Hristov, A. N., Oh, J., Firkins, J. L., Dijkstra, J., Kebreab, E., Waghorn, G., Makkar, H. P. S., Adesogan, A. T., Yang, W., Lee, C., et al. (2013) · Journal of Animal Science · doi:10.2527/jas.2013-6583 · Cited by 958
Specific microbiome-dependent mechanisms underlie the energy harvest efficiency of ruminants.
Shabat, S. K. B., Sasson, G., Doron-Faigenboim, A., Durman, T., Yaacoby, S., Berg Miller, M. E., White, B. A., Shterzer, N., & Mizrahi, I. (2016) · The ISME Journal · doi:10.1038/ismej.2016.62 · Cited by 823
Phytochemicals as antibiotic alternatives to promote growth and enhance host health
Lillehoj, H., Liu, Y., Calsamiglia, S., Fernandez-Miyakawa, M. E., Chi, F., Cravens, R. L., Oh, S., & Gay, C. G. (2018) · Veterinary Research · doi:10.1186/s13567-018-0562-6 · Cited by 515
Witzig, M., Zeder, M., & Rodehutscord, M. (2018) · Anaerobe · doi:10.1016/j.anaerobe.2018.01.012 · Cited by 33
Metadata
- Authors
- Duffield, T. F., Merrill, J. K., & Bagg, R. N.
- Venue
- Journal of Animal Science
- Publisher
- Oxford University Press (OUP)
- Published
- 2012-12-01
- Volume
- 90
- Issue
- 12
- Pages
- 4583-4592
- ISSN
- 0021-8812 (ISSN-L)
- 1525-3163
- OpenAlex
- W1990378571
- Cited by
- 280
- References
- 21
- FWCI
- 5.52
- Type
- journal article
- Language
- en
- Open access
- closed
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Meta-analysis of the effects of monensin in beef cattle on feed efficiency, body weight gain, and dry matter intake1. https://app.cochat.ai/papers/10.2527/jas.2011-5018
- The paper
- Duffield, T. F., Merrill, J. K., & Bagg, R. N. (2012). Meta-analysis of the effects of monensin in beef cattle on feed efficiency, body weight gain, and dry matter intake1. Journal of Animal Science. https://doi.org/10.2527/jas.2011-5018
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.