Record Details

Evidence for Resilient Agriculture (ERA): Livestock Data

Harvard Dataverse (Africa Rice Center, Bioversity International, CCAFS, CIAT, IFPRI, IRRI and WorldFish)

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Title Evidence for Resilient Agriculture (ERA): Livestock Data
 
Identifier https://doi.org/10.7910/DVN/XY9WAX
 
Creator Rosenstock, Todd Stuart
Steward, Peter Richard
Joshi, Namita
Mumo, Elijah Mustoki
Ombewa, Babra Vivian Adhiambo
Kacha, Gabrielle Nour
 
Publisher Harvard Dataverse
 
Description A detailed meta-dataset describing the context, management and outcomes of livestock feed experiments from sub-Saharan Africa. The dataset geolocates experimental sites and records details of animal breeds, diet ingredients, their nutritional composition and digestibility, feed presentation and intake rates, and yield and production outcomes. Data from 405 peer-reviewed publications are included generating 10554 unique observations. The animals represented in the dataset are sheep (26.4% of observations), goat (19.5%), fish (15.4%), cattle (14.1%), chickens (13.6%), pigs (6.7%) and others (2.2%). The geographic scope of experimental locations includes Nigeria (20% of locations), Ethiopia (17.7%), South Africa (14.9%), Egypt (8.8%), Kenya (7%), Tanzania (5.8%), Ghana (4.2%) and 16 more countries (21.7%). The most commonly reported outcomes in the dataset are Meat Yield (28.9% of observations), Weight Gain (27.3%), Feed Conversion Ratio (16.8%), Variable Cost (6.8%), Protein Conversion Ratio (3.3%) and 31 other outcomes (16.7%). Nutritional composition data are available for 2153 animal diets or diet ingredients and digestibility data available for 870. A description of the fields in the dataset can be found in the Field_Description table.

Metodology:Publications were discovered and screened using a keyword search that is described in the core ERA data publication. For each included publication information from full-text was extracted by trained research staff using a excel form. Each extraction was quality controlled by humans and using machine logic. Excel forms were compiled together in R.
 
Subject Agricultural Sciences
Earth and Environmental Sciences
feed additives
pasture improvement
data synthesis
feed composition
feed intake
Productivity
economic benefits
livestock feeding
CATTLE
sheep
goats
chickens
Swine
Africa
Climate Action
 
Language English
 
Date 2023-11-01
 
Contributor Alliance Data Management
 
Type Productivity Data
Aggregate Data
Experimental Data
Nutritional Data
Socio-economic Data
 
Source Web of Science, Scopus