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Mapping Regenerative Technologies in Livestock Systems: Emerging Technologies, and Strategic Frontiers

Submitted:

30 May 2026

Posted:

01 June 2026

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Abstract
Livestock production, encompassing both meat and dairy industries, constitutes a sector of significant global economic value, providing livelihoods for numerous families and communities worldwide. While regenerative livestock farming is gaining ground as a sustainable alternative, a significant research gap persists regarding the systematic identification of emerging technologies and the lack of specific frameworks for their technical implementation in tropical regions. This article addresses this gap by mapping the strategic frontiers of regenerative technologies using a mixed-methods approach, employing text mining software (Vantage Point V15.1) and advanced searches in specialized databases. Fifty-six high-impact publications in Scopus and ScienceDirect were analyzed, and the results identified 14 key regenerative activities, highlighting silvopastoral systems, integrated pasture management, and crop-livestock integration as the most prominent solutions. An additional analysis was applied, identifying 10 variables in regenerative livestock farming as well as their alignment with seminal authors on regenerativity issues. A crucial finding is the existing disconnect between the theoretical benefits of regeneration and its practical application in diverse geographical contexts. To mitigate this gap, the study proposes technical implementation models and a step-by-step procedural sequence specifically designed for the Colombian context, although these can be replicated in other regions, particularly in tropical zones. By synthesizing technical limitations and local adaptability, this research provides a strategic roadmap for the transition to sustainable livestock systems, offering valuable insights for researchers, practitioners, and policymakers committed to regenerative innovation.
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Copyright: This open access article is published under a Creative Commons CC BY 4.0 license, which permit the free download, distribution, and reuse, provided that the author and preprint are cited in any reuse.
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