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Tier 4 — Narrative / commentaryConference paper

Steps for selecting cattle for sustainability traits on pasture based systems

MJ Rivero, Graham McCauliffe, Taro Takahashi, Muhammed Elayadeth‐Meethal, T. H. Misselbrook, M.P. Coffey, E. Wall, Paul Harris, Michael Lee

Proceedings of the World Congress on Genetics Applied to Livestock Production · 2018

All evidence

Summary

This 2018 conference paper synthesises approaches to genetic selection in cattle breeding programmes that align herd genetics with the demands of pasture-based farming systems. Drawing on livestock genetics, environmental science, and grassland production expertise, it offers a practical framework for farmers and breeding organisations to optimise for both productivity and reduced environmental footprint in extensive grazing contexts. As a conference proceeding, it reflects contemporary thinking on livestock genetics for sustainability in pastoral agriculture.

Regional applicability

Directly applicable to United Kingdom grassland-based beef and suckler cattle systems, where pasture utilisation and environmental sustainability are key policy drivers. The framework aligns with UK breeding industry priorities and extensive grazing management on marginal land.

Key measures

Genetic selection criteria for sustainability traits in pasture-based cattle systems; likely including feed efficiency, grassland utilisation, environmental impact proxies, and production traits

Outcomes reported

The paper presents a framework and practical steps for selecting cattle with traits suited to pasture-based farming systems, balancing productivity with environmental sustainability. Outcomes measured likely include efficiency metrics, environmental impact indicators, and herd performance traits relevant to extensive grazing.

Theme
Farming systems, soils & land use
Subject
Livestock nutrition & meat quality
Study type
Narrative Review
Study design
Narrative review
Source type
Conference paper
Status
Published
Geography
International
System type
Pasture-based livestock
Catalogue ID
MGmowxcquy-zc2xvu

Topic tags

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