ERA (Evidence for Resilient Agriculture) Feed Library

The ERA Feed Library is an analysis-ready reference dataset for livestock nutrition, covering more than 1,200 feed ingredients spanning forages, grains, by-products, legumes, shrubs, tree leaves, and grasses, including multiple processing forms. It consolidates manually extracted data from over 700...

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Autores principales: Muller, Lolita, Steward, Peter Richard, Joshi, Namita, Nabwire, Charity Ephamia Juma, Rosenstock, Todd Stuart
Formato: Conjunto de datos
Lenguaje:Inglés
Publicado: 2025
Materias:
Acceso en línea:https://hdl.handle.net/10568/178339
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author Muller, Lolita
Steward, Peter Richard
Joshi, Namita
Nabwire, Charity Ephamia Juma
Rosenstock, Todd Stuart
author_browse Joshi, Namita
Muller, Lolita
Nabwire, Charity Ephamia Juma
Rosenstock, Todd Stuart
Steward, Peter Richard
author_facet Muller, Lolita
Steward, Peter Richard
Joshi, Namita
Nabwire, Charity Ephamia Juma
Rosenstock, Todd Stuart
author_sort Muller, Lolita
collection Repository of Agricultural Research Outputs (CGSpace)
description The ERA Feed Library is an analysis-ready reference dataset for livestock nutrition, covering more than 1,200 feed ingredients spanning forages, grains, by-products, legumes, shrubs, tree leaves, and grasses, including multiple processing forms. It consolidates manually extracted data from over 700 livestock nutrition studies across Africa and harmonizes ingredient naming using the AOM classification. To address missing values and standardize nutrient information, the dataset integrates and cross-references values from the ILRI African Feeds Database and Feedipedia. All nutritional variables are converted into canonical units (g/kg DM, MJ/kg DM), and a transparent multi-step inference procedure fills data gaps. The dataset includes: - Harmonized ingredient names with nutritional values - Mapping to Feedipedia and ILRI feed codes - Country-level summary means for each ingredient This resource provides a comprehensive, high-quality feed library suitable for livestock nutrition modelling, Tier-2 methane emission estimation, ration analysis, and agricultural research across African production systems. Methodology:The ERA Feed Library compiles livestock nutrition evidence from the ERA database into a unified, analysis-ready, ingredient-level resource. Feed names from more than 700 African livestock studies are harmonized to a consistent vocabulary, resolving synonyms and inconsistent naming, harmonizing processes and adding scientific name linkage. All nutrient and energy values are standardized into canonical units (g/kg DM and MJ/kg DM). When values are missing, a structured completion workflow fills gaps using two external reference sources (Feedipedia and the ILRI African Feeds Database), followed by inference from ingredient-level means. Each step preserves full provenance, ensuring that every value is traceable to raw data, external sources, or statistical inference.
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publishDateRange 2025
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spelling CGSpace1783392025-11-27T13:47:33Z ERA (Evidence for Resilient Agriculture) Feed Library Muller, Lolita Steward, Peter Richard Joshi, Namita Nabwire, Charity Ephamia Juma Rosenstock, Todd Stuart agriculture africa livestock feed datasets climate action The ERA Feed Library is an analysis-ready reference dataset for livestock nutrition, covering more than 1,200 feed ingredients spanning forages, grains, by-products, legumes, shrubs, tree leaves, and grasses, including multiple processing forms. It consolidates manually extracted data from over 700 livestock nutrition studies across Africa and harmonizes ingredient naming using the AOM classification. To address missing values and standardize nutrient information, the dataset integrates and cross-references values from the ILRI African Feeds Database and Feedipedia. All nutritional variables are converted into canonical units (g/kg DM, MJ/kg DM), and a transparent multi-step inference procedure fills data gaps. The dataset includes: - Harmonized ingredient names with nutritional values - Mapping to Feedipedia and ILRI feed codes - Country-level summary means for each ingredient This resource provides a comprehensive, high-quality feed library suitable for livestock nutrition modelling, Tier-2 methane emission estimation, ration analysis, and agricultural research across African production systems. Methodology:The ERA Feed Library compiles livestock nutrition evidence from the ERA database into a unified, analysis-ready, ingredient-level resource. Feed names from more than 700 African livestock studies are harmonized to a consistent vocabulary, resolving synonyms and inconsistent naming, harmonizing processes and adding scientific name linkage. All nutrient and energy values are standardized into canonical units (g/kg DM and MJ/kg DM). When values are missing, a structured completion workflow fills gaps using two external reference sources (Feedipedia and the ILRI African Feeds Database), followed by inference from ingredient-level means. Each step preserves full provenance, ensuring that every value is traceable to raw data, external sources, or statistical inference. 2025 2025-11-27T13:47:32Z 2025-11-27T13:47:32Z Dataset https://hdl.handle.net/10568/178339 en Open Access Muller, L.; Steward, P.R.; Joshi, N.; Nabwire, C.E.J.; Rosenstock, T.S. (2025) ERA (Evidence for Resilient Agriculture) Feed Library. https://doi.org/10.7910/DVN/CTD0OB
spellingShingle agriculture
africa
livestock feed
datasets
climate action
Muller, Lolita
Steward, Peter Richard
Joshi, Namita
Nabwire, Charity Ephamia Juma
Rosenstock, Todd Stuart
ERA (Evidence for Resilient Agriculture) Feed Library
title ERA (Evidence for Resilient Agriculture) Feed Library
title_full ERA (Evidence for Resilient Agriculture) Feed Library
title_fullStr ERA (Evidence for Resilient Agriculture) Feed Library
title_full_unstemmed ERA (Evidence for Resilient Agriculture) Feed Library
title_short ERA (Evidence for Resilient Agriculture) Feed Library
title_sort era evidence for resilient agriculture feed library
topic agriculture
africa
livestock feed
datasets
climate action
url https://hdl.handle.net/10568/178339
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