Pulse Brain · Growing Health Evidence Index
Tier 4 — Narrative / commentaryPeer-reviewed

Grazing Management and Stocking Strategies for Pasture-Beef Systems: Experimental Confirmation vs Testimonials & Perceptions

M. Rouquette

2022

All evidence

Summary

This paper, likely authored by M. Rouquette of Texas A&M (a leading grazing systems researcher), synthesises experimental findings on optimal grazing management and stocking strategies for pasture-based beef production. The work appears to bridge the gap between peer-reviewed evidence and practical farmer experience, examining where experimental validation confirms or challenges commonly held beliefs about grazing intensity and herd management. The comparison between controlled research outcomes and stakeholder testimonials suggests the paper addresses knowledge translation challenges in grazing management adoption.

UK applicability

UK grassland-based beef systems, particularly in upland and marginal grazing areas, may benefit from these stocking and grazing management principles, although climate, forage species and seasonal conditions differ from typical US pasture environments. The synthesis approach may be useful for evaluating which research-backed practices are transferable to British temperate grassland contexts.

Key measures

Grazing management practices, stocking rates, beef production outcomes, and farmer perception/adoption of research recommendations

Outcomes reported

The study compared experimental evidence on grazing management and stocking strategies in pasture-beef systems against farmer testimonials and perceptions. As suggested by the title, it evaluated the alignment or divergence between research-validated practices and on-farm perceptions.

Theme
Farming systems, soils & land use
Subject
Grassland & pasture systems
Study type
Narrative Review
Study design
Narrative review or synthesis
Source type
Peer-reviewed study
Status
Published
Geography
United States
System type
Pasture-based livestock
Catalogue ID
NRmocz2pbf-008

Topic tags

Pulse AI · ask about this record

Dig deeper with Pulse AI.

Pulse AI has read the whole catalogue. Ask about this record, its theme, or how the findings apply to UK farming and policy — every answer cites the underlying studies.