Record Details

Crop Diversification in Maize-Based Cropping System: Maize-Sesame Intercropping

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

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Field Value
 
Title Crop Diversification in Maize-Based Cropping System: Maize-Sesame Intercropping
 
Identifier https://doi.org/10.7910/DVN/8UFV7X
 
Creator International Institute of Tropical Agriculture (IITA)
Savanna Agricultural Research Institute (SARI)
 
Publisher Harvard Dataverse
 
Description

This data study explores raising and sustaining productivity in cereal-legume cropping systems in northern 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


Mono-cropping of sesame(Sesame indicum L.) is being promoted for cash to diversify smallholder income in the northern Ghana. The objective of this activity is to evaluate agronomic options for integrating sesame into maize, sorghum, and millet cropping systems. A split-plot design replicated in 3-4 communities per region will be used within row spacing 1 and 2 weeks after planting maize. For the trials, data will be collected on growth of maize and sesame, light interception/leaf area index, weed diversity and biomass, grain yield of maize and sesame, soil temperature, soil moisture, and plant pest and diseases. Output and input will be collected for cost benefit analysis.


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


Project start date: 01/06/2014


Project end date : 01/10/2014
 
Subject Agricultural Sciences
Social Sciences
sesame
maize
food security
environment
livelihoods
GHANA
WEST AFRICA
AFRICA
 
Language English
 
Date 2014
 
Contributor IFPRI-KM
Larbi, Asamoah (International Institute of Tropical Agriculture (IITA))
Buah, Saaka (Savanna Agricultural Research Institute (SARI))
Kotu, Bekele Hundie (International Institute of Tropical Agriculture (IITA))
Sobreh, Dominic (Savanna Agricultural Research Institute (SARI))
Rahman, Nurudeen Abdul (International Institute of Tropical Agriculture (IITA))
Mellon, Shaibu (International Institute of Tropical Agriculture (IITA))
Akakpo, Daniel Brain
Otiwa, Mary
United States Agency for International Development (USAID)
 
Type Observation data
Experimental data
Agronomy data