Evidence for Resilient Livestock (ERL): Livestock Feed Nutritional Meta-dataset from Africa

Purpose, Nature, and Scope: This data collection focuses on extracting and organizing data on animal feed nutritional composition and digestibility as part of the Evidence for Resilient Agriculture (ERA) initiative. The dataset serves as a foundational resource for understanding livestock feed practices and their implications for productivity, sustainability, and environmental impact. While no specific research questions have been addressed yet, the dataset provides a critical input for ongoing and future research. Special Characteristics: <br><ul>The dataset includes: <li>Nutritional composition data (e.g., protein, fiber, and energy content) for various feed types. </li> <li>Digestibility data (e.g., dry matter and energy digestibility) relevant to livestock systems. </li> <li>Contextual metadata, such as livestock species, feed types, and geographic locations. </li> </ul> The data is curated within the ERA data model, using a controlled vocabulary for consistency and interoperability. Applications: This dataset can be shared with collaborators who have developed emissions calculators requiring detailed information about the nutritional composition and digestibility of livestock diets. These tools use such data to estimate emissions and develop mitigation strategies by analyzing or modifying animal diets. <br> More information here: <a> https://eragriculture.github.io/ERL/ERL_feed_data.html </a> <br> <br> Methodology: The dataset was created using the ERA data model, leveraging a structured Excel-based extraction template (Skinny Cow template) to systematically extract and compile data from published studies. The focus was on capturing nutritional composition, digestibility metrics, and associated metadata (e.g., livestock types, feed practices, and geographic details). For more details on how the dataset was created, see the ERL Feed Data documentation and the Guide to Livestock Data Analysis in the ERA Dataset.