Record Details

Test and Disseminate Technologies to Intensity Vegetable Mono-cropping

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

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Field Value
 
Title Test and Disseminate Technologies to Intensity Vegetable Mono-cropping
 
Identifier https://doi.org/10.7910/DVN/EH0E3B
 
Creator International Institute for Tropical Agriculture (IITA)
World Vegetable Center (AVRDC)
Savanna Agricultural Research Institute (SARI)
 
Publisher Harvard Dataverse
 
Description

This data study explores integrating vegetable into cereal-legume cropping productions systems in Ghana


About the project


Project title:
AfricaRISING - Sustainable Intensification of Cereal-based Farming Systems in the Guinea-Sudan-Savanna of Ghana and Mali


Project abstract


Four vegetable crops will be compared across subsets of 30-50 households in each of the 3 northern regions using two planting densities and they are Amaranth for Upper West Region, Jute Mallow for the Northern region and Roselle for the Upper East region. Three fruit vegetables (Okra in all the regions), African eggplant and tomato in the other two regions and one spice vegetable (Pepper), in all the three regions.


Project website:
http://africa-rising.net


Project start date: 01/06/2014


Project end date : 01/11/2014
 
Subject Agricultural Sciences
Social Sciences
sweet peppers
maize
tomatoes
roselle
Abelmoschus esculentus
solanum melongena
livelihoods
environment
GHANA
WEST AFRICA
AFRICA
 
Language English
 
Date 2014
 
Contributor IFPRI-KM
Larbi, Asamoah (International Institute of Tropical Agriculture (IITA))
Kamga, Regine (World Vegetable Center (AVRDC))
Kusi, Francis (Savanna Agricultural Research Institute (SARI))
Yelipoie, Comfort (University of Development Studies (UDS))
Mellon, Saibu (International Institute of Tropical Agriculture (IITA))
Lamini, Salim (Savanna Agricultural Research Institute (SARI))
United States Agency for International Development (USAID)
 
Type Agronomy data
Experimental data
Observation data