Evidence for Resilience Livestock (ERL): Livestock Feed Nutritional Metea-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 pract...

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Main Authors: Steward, Peter Richard, Joshi, Namita, Rosenstock, Todd Stuart
Format: Conjunto de datos
Language:Inglés
Published: 2025
Subjects:
Online Access:https://hdl.handle.net/10568/173104
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author Steward, Peter Richard
Joshi, Namita
Rosenstock, Todd Stuart
author_browse Joshi, Namita
Rosenstock, Todd Stuart
Steward, Peter Richard
author_facet Steward, Peter Richard
Joshi, Namita
Rosenstock, Todd Stuart
author_sort Steward, Peter Richard
collection Repository of Agricultural Research Outputs (CGSpace)
description 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: The dataset includes: • Nutritional composition data (e.g., protein, fiber, and energy content) for various feed types. • Digestibility data (e.g., dry matter and energy digestibility) relevant to livestock systems. • Contextual metadata, such as livestock species, feed types, and geographic locations. 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. 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.
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spelling CGSpace1731042025-03-25T13:05:49Z Evidence for Resilience Livestock (ERL): Livestock Feed Nutritional Metea-dataset from Africa Steward, Peter Richard Joshi, Namita Rosenstock, Todd Stuart livestock feed composition feeds digestibility 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: The dataset includes: • Nutritional composition data (e.g., protein, fiber, and energy content) for various feed types. • Digestibility data (e.g., dry matter and energy digestibility) relevant to livestock systems. • Contextual metadata, such as livestock species, feed types, and geographic locations. 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. 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. 2025 2025-02-17T13:41:24Z 2025-02-17T13:41:24Z Dataset https://hdl.handle.net/10568/173104 en Open Access Steward, P.R.; Joshi, N.; Rosenstock, T.S. (2025) Evidence for Resilience Livestock (ERL): Livestock Feed Nutritional Metea-dataset from Africa. https://doi.org/10.7910/DVN/JIU3OK
spellingShingle livestock
feed composition
feeds
digestibility
Steward, Peter Richard
Joshi, Namita
Rosenstock, Todd Stuart
Evidence for Resilience Livestock (ERL): Livestock Feed Nutritional Metea-dataset from Africa
title Evidence for Resilience Livestock (ERL): Livestock Feed Nutritional Metea-dataset from Africa
title_full Evidence for Resilience Livestock (ERL): Livestock Feed Nutritional Metea-dataset from Africa
title_fullStr Evidence for Resilience Livestock (ERL): Livestock Feed Nutritional Metea-dataset from Africa
title_full_unstemmed Evidence for Resilience Livestock (ERL): Livestock Feed Nutritional Metea-dataset from Africa
title_short Evidence for Resilience Livestock (ERL): Livestock Feed Nutritional Metea-dataset from Africa
title_sort evidence for resilience livestock erl livestock feed nutritional metea dataset from africa
topic livestock
feed composition
feeds
digestibility
url https://hdl.handle.net/10568/173104
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AT rosenstocktoddstuart evidenceforresiliencelivestockerllivestockfeednutritionalmeteadatasetfromafrica