69. Evaluating Methane Mitigation Strategies in U.S. Beef Systems Using Multi Criteria Decision Making.

Clicks: 11
ID: 330347
2026
Free PDF
Article Quality & Performance Metrics
Overall Quality
Not rated
Combines reader engagement with the AI quality analysis. This article has not been analysed, so there is no overall score — reader engagement is measured and shown alongside.
AI Quality Assessment
Not analyzed
Readership in this journal
Steady

Ranked #712 of 847 articles by views in italian journal of animal science

Most read Least read

Bar heights use a square-root scale. Only the 120 most-read articles are drawn; the journal has 847 in total.

Mint this article as an NFT
Not yet minted

Create a permanent, verifiable on-chain record of this article on the Scimatic Network. The NFT is held in your Journament account, and you can withdraw it to your own wallet at any time.

5 SUSD one-off · no wallet required
Sign in to mint
Abstract
Abstract Sustainable beef production represents a complex socio-environmental challenge requiring simultaneous consideration of environmental performance, economic viability, and practical feasibility. Enteric methane accounts for a 2.9% of greenhouse gas emissions in the United States, yet mitigation strategies vary in effectiveness, cost and adoptability. This study developed a systems-based Multi-Criteria Decision-Making (MCDM) framework to evaluate Sustainable Beef Production (SBP) practices across three criteria; Emission Reduction Potential (EP), Economic Returns (ER) and Ease of Adoption (EA). Evidence from peer-reviewed literature and technical reports was standardized using a 5-point ordinal scoring system, and practice-level scores were aggregated using a frequency-weighted mean approach to construct a decision matrix. Six SBP practices were evaluated; Feed additives, Grazing Management, Genetics, Vaccines, Policy Interventions, and Precision Livestock Technology. Practices were ranked using the Weighted Sum Model (WSM) and Technique for Order Preference by Similarity to an Ideal Solution (TOPSIS) under four stakeholder priority scenarios reflecting environmental, economic, adoption-focused and equal weight priorities. Ranking robustness was evaluated using 10,000 bootstrap iterations. Under equal weighting, grazing management ranked first (WSM = 0.943; TOPSIS Ci = 0.796) followed by feed additives. Across scenarios, grazing management consistently ranked first or near-first, while feed additives demonstrated strong competitiveness, particularly when economic returns were prioritized. Precision livestock technologies showed stable mid-tier performance, whereas policy, genetics, and vaccine-based strategies ranked lower within the short-term evaluation horizon. Bootstrap analysis showed narrow confidence intervals and high agreement between WSM and TOPSIS, indicating strong structural robustness of rankings. These findings suggest that grazing management and feed-based mitigation strategies represent the most balanced short-term pathways for reducing methane emissions while maintaining economic viability and adoption feasibility in U.S. beef systems. The proposed MCDM framework provides a transparent and replicable decision-support tool for evaluating sustainability strategies in complex livestock production systems. For image description, please refer to the figure legend and surrounding text.
Reference Key
openalex_W7214739150 Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors Serinmary Pulikkottil Rejimon, Sreekar Veeranki, Karun Kaniyamattam, Ashley Wang
Are you one of these authors? Claim your profile
Journal italian journal of animal science
Year 2026
DOI
10.1093/jas/skag272.212
URL
https://doi.org/10.1093/jas/skag272.212
Keywords Keywords not found

Citations

No citations found. To add a citation, contact the admin at info@scimatic.org

Comments

No comments yet. Be the first to comment on this article.