| Issue |
BIO Web Conf.
Volume 207, 2025
The 3rd International Conference on Animal Research for Eco-Friendly Livestock Industry (3rd ICARELI 2025)
|
|
|---|---|---|
| Article Number | 01009 | |
| Number of page(s) | 9 | |
| Section | Eco-Friendly Animal Feed Resources, Nutrition, Forage and Pasture | |
| DOI | https://doi.org/10.1051/bioconf/202520701009 | |
| Published online | 24 December 2025 | |
Estimation of average daily gain in fat-tailed sheep at smallholder farms based on energy and protein intake
Department of Nutrition and Feed Technology, Faculty of Animal Science, IPB University, Bogor 16680, Indonesia
* Corresponding author: This email address is being protected from spambots. You need JavaScript enabled to view it.
This study aimed to estimate average daily gain (ADG) of Fat-Tailed Sheep based on their energy and protein intake. Data were collected from 68 fat-tailed sheep raised at three smallholder farms in West Java, including feed intake and ADG records. The evaluation was conducted by comparing the intake of dry matter (DM), crude protein (CP), and total digestible nutrient (TDN) against the nutrient requirements estimated by the model, as well as by comparing observed and estimated ADG values. The results showed that DM, CP, and TDN intakes were below the estimated standard requirements. The comparison between observed and estimated ADG revealed high root mean square percentage error (RMSPE > 80%) and a low concordance correlation coefficient (CCC), indicating weak alignment between model outputs and field observation. These outcomes suggest that the current model does not yet provide reliable ADG predictions for fat-tailed sheep under field conditions, possibly due to limitations in observational data.
© The Authors, published by EDP Sciences, 2025
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.

