Evidence for Resilient Agriculture (ERA): Livestock Data
Harvard Dataverse (Africa Rice Center, Bioversity International, CCAFS, CIAT, IFPRI, IRRI and WorldFish)
View Archive InfoField | Value | |
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
|
|