Pulse Brain · Growing Health Evidence Index
Tier 3 — Observational / field trialPeer-reviewed

Forage quality and yield of Sal Pasture (Rize, Türkiye)

Muhammed İkbal Çatal

International Journal of Agriculture Environment and Food Sciences · 2025

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Summary

This study provides a baseline assessment of the forage productivity and nutritional composition of Sal Pasture, a semi-natural highland grazing area in the Çamlıhemşin district of Rize province, eastern Black Sea region of Türkiye. Sampling was conducted over two consecutive summers using standardised quadrat methodology, with laboratory analysis of key quality indicators. The findings document meaningful year-to-year variability in both yield and, most likely, nutritional parameters, offering locally relevant reference data for pasture management in a climatically sensitive montane environment.

UK applicability

This study is specific to a semi-natural mountain pasture in north-east Türkiye and the results are not directly transferable to UK conditions; however, the methodology and findings on inter-annual yield variability in upland semi-natural grasslands are broadly relevant to UK upland and hill farming systems, particularly in Wales, Scotland, and northern England where similar management challenges apply.

Key measures

Fresh herbage yield (kg/da); dry matter yield (kg/da); crude protein content (%); likely additional quality parameters such as acid detergent fibre, neutral detergent fibre, ash content, and metabolisable energy

Outcomes reported

The study measured fresh and dry matter yield and key forage nutritional parameters (including crude protein) from a semi-natural highland pasture across two growing seasons (2023–2024), revealing statistically significant inter-annual variation in yield.

Theme
Farming systems, soils & land use
Subject
Grassland & pasture management
Study type
Research
Study design
Field trial
Source type
Peer-reviewed study
Status
Published
Geography
Türkiye
System type
Pasture-based livestock
DOI
10.31015/2025.1.13
Catalogue ID
NRmo3dm0ad-000

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