PS4-23. Associations Between GPS-derived Grazing Behavior and Feed and Water Efficiency in Grazing Beef Heifers.

Clicks: 12
ID: 330531
2026
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
Emerging

Ranked #488 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
Abstract
Abstract Understanding how grazing behavior relates to efficiency traits may improve management and selection strategies in grazing beef production systems. This study evaluated associations between GPS-derived grazing behavior, movement patterns, and efficiency traits in beef heifers. Seventy-one heifers were monitored at the JW Ruby Research, Education, and Outreach Center, Reedsville, West Virginia for a testing period of 57 days (18th July- 12th September 2025) using GPS collars to quantify grazing time and daily movement distance. Behavioral metrics were evaluated in relation to residual feed intake (RFI), residual water intake (RWI), dry matter intake (DMI), and average daily gain (ADG). Greater grazing time was associated with lower RFI (R² = 0.064, p = 0.033), indicating reduced residual feed intake among animals that spent a greater proportion of time grazing. Grazing time was also negatively associated with RWI (R² = 0.214, p < 0.001). Greater mean daily distance traveled was associated with lower RFI (R² = 0.068, p = 0.028), while grazing time was positively associated with ADG (R² = 0.157, p = 0.001). Efficiency group comparisons further indicated behavioral differences, with efficient animals grazing longer than inefficient animals (31.7% vs. 29.5% of the day; p = 0.022). These findings indicate that grazing behavior is associated with variation in both feed and water efficiency in grazing cattle. GPS-based behavioral monitoring may provide additional insight into efficiency variation in pasture-based production systems.
Reference Key
openalex_W7214769195 Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors
Journal italian journal of animal science
Year 2026
DOI
10.1093/jas/skag272.627
URL
Keywords Keywords not found

Citations

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

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