Pulse Brain · Growing Health Evidence Index
Peer-reviewed

PSXIV-11 Predictive modeling of dry matter intake, feed, and water efficiency in pasture-based cattle systems.

Tylor J Yost; Nathanael A. Blake; Eswar ArunKumar Kalaga; Deborah Ologunagba; Matthew Walker; Ida Holásková; J. Yates; Matthew E Wilson

Journal of Animal Science · 2025

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Summary

Accurate prediction of dry matter intake (DMI) in cattle grazing on pasture is essential for optimizing nutritional management, enhancing production efficiency, and reducing feed costs for the beef industry. In pasture-based systems, DMI is influenced by factors such as forage quality, environmental conditions, individual animal body weight and stage of production. We have developed predictive that model uses key factors such as, forage composition, climactic conditions, body weight, age, breed, sex, and individual water intake to determine an animal’s individual daily DMI. From this individual DMI we can calculate individual pasture feed and water efficiency. This study aims to use a robust predictive model for DMI, RFI and RWI in cattle on pasture using a data-driven approach. Data was

Source type
Peer-reviewed study
DOI
10.1093/jas/skaf300.726
Catalogue ID
NRmocz2pbf-005
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