Skip to main content

Dataverse

Looking for the numbers behind our science? Browse through our datasets, or search by key terms.

Trees for Food Security Project (World Agroforestry Centre)
The aim of this project is to enhance food security for resource-poor rural people in Eastern Africa through research that underpins national programmes to scale up the use of trees within farming systems in Ethiopia and Rwanda and then scale out successes to relevant agro-ecological zones in Uganda and Burundi. The specific objectives of the project are: To characterize target farming landscapes and systems, and develop tools for matching species and management options to sites and circumstances. To generalize predictions of impacts of tree species and management on crop productivity, water resources and nutrients at field, farm and landscape scales to inform scaling up to improve food security and reduce climate risk. To develop effective methods and enabling environments for scaling up and out the adoption of trees on farms. To develop databases and tools for monitoring and evaluation of the impact of scaling up and out the adoption of trees on farms. To enhance capacity and connectivity of national partner institutions (including farmer groups) in developing and promoting locally appropriate options for adoption of farm trees.
Featured Dataverses

In order to use this feature you must have at least one published dataverse.

Publish Dataverse

Are you sure you want to publish your dataverse? Once you do so it must remain published.

Publish Dataverse

This dataverse cannot be published because the dataverse it is in has not been published.

Delete Dataverse

Are you sure you want to delete your dataverse? You cannot undelete this dataverse.

Find Advanced Search

11 to 20 of 35 Results
Long-Term Agroforestry Trial - Kenya(World Agroforestry Centre)
Long-Term Agroforestry Trial - Kenya logo
Apr 30, 2019
The Trees for Food Security (T4FS) project aims to enhance food security for resource-poor rural people in Eastern Africa through research that underpins national programmes to scale up the use of trees within farming systems. The long-term trial in Kenya is a collaborative resea...
Aug 5, 2019 - Long-Term Agroforestry Trial - Kenya
Njoroge, Julius; Muthuri, Catherine, 2019, "Maize yield 2015_2016 short rains", https://doi.org/10.34725/DVN/KLG19F, World Agroforestry - Research Data Repository, V1, UNF:6:eHaubchM2/n8y+gJz2sy+Q== [fileUNF]
Maize productivity was measured adjacent and away from tree rows to determine influence of trees on crop productivity
Aug 5, 2019 - Long-Term Agroforestry Trial - Kenya
Njoroge, Julius; Muthuri, Catherine, 2019, "Maize yield for 2012_2013 and 2013_2014 short rains", https://doi.org/10.34725/DVN/RSRJG9, World Agroforestry - Research Data Repository, V1, UNF:6:h4zHVoBUzNa6XPAtyAX64w== [fileUNF]
Maize productivity before tree influence was recorded to determine other factors contributing to yield variability (rainfall and soil variability)
Aug 5, 2019 - Long-Term Agroforestry Trial - Kenya
Njoroge, Julius; Muthuri, Catherine, 2019, "Meteorological data for the study site", https://doi.org/10.34725/DVN/5SLYNZ, World Agroforestry - Research Data Repository, V1, UNF:6:0TcgGurYYzOUmG4TVkydxg== [fileUNF]
Meteorological data (rainfall and temperature) useful in relating growth and productivity to influence of weather variability
Aug 5, 2019 - Long-Term Agroforestry Trial - Kenya
Njoroge, Julius; Muthuri, Catherine, 2019, "Phenology scores", https://doi.org/10.34725/DVN/FRVHOX, World Agroforestry - Research Data Repository, V1
Leafing phenology (leaf flush and fall) scores were recorded for the period between Dec 2012 and March 2016
Aug 5, 2019 - Long-Term Agroforestry Trial - Kenya
Njoroge, Julius; Muthuri, Catherine, 2019, "Plot soil nutrient analyzed data", https://doi.org/10.34725/DVN/F1ZLCU, World Agroforestry - Research Data Repository, V1, UNF:6:d3L6exQ6RFgyn6sdOqwDqg== [fileUNF]
Pooled samples from plots used to characterize soil nutrient status before introduction of agroforestry treatments
Mar 20, 2018
Kinuthia, Ruth; Kiptot, Evelyne; Nkurunzinza, Claudette, 2018, "Review of extension systems in Burundi- Kayanza Province", https://doi.org/10.34725/DVN/SSIMNN, World Agroforestry - Research Data Repository, V2
Key informant interviews (KIIs) were conducted with the aim of understanding the structure of agricultural extension in Burundi. The interviews formed part of the Australian Centre for International Agricultural research (ACIAR) funded ‘Trees for Food Security’ project work packa...
Jun 14, 2019
Kiptot, Evelyne; Kinuthia, Ruth; Kelemu, Kaleb; Mebrahtu, Tirhas; Derero, Abayneh; Hadgu, Kiros; Muthuri, Catherine, 2018, "Review of extension systems in Ethiopia- East shewa, West Shewa and East Wollega zones", https://doi.org/10.34725/DVN/WWDZQH, World Agroforestry - Research Data Repository, V2
As part of the baseline survey for the ACIAR- funded Trees for Food Security Project, a literature review and key informants’ interviews were undertaken in Ethiopia to understand the status of the extension system. The major areas of focus were: Extension technologies disseminate...
Mar 20, 2018
Kiptot, Evelyne; Kinuthia, Ruth; Mutaganda, Amini, 2018, "Review of extension systems in Rwanda- Bugesera, Rubavu and Nyabihu districts", https://doi.org/10.34725/DVN/85VCJZ, World Agroforestry - Research Data Repository, V2
As part of the baseline survey for the ACIAR- funded Trees for Food Security Project, a literature review and key informants’ interviews were undertaken in Rwanda to understand the status of the extension system in Rwanda. The major areas of focus were: Extension technologies dis...
Mar 20, 2018
Buyinza, Joel; Sekatuba, Jude; Agaba, Hillary; Kinuthia, Ruth; Kiptot, Evelyne, 2018, "Review of extension systems in Uganda", https://doi.org/10.34725/DVN/KSEONC, World Agroforestry - Research Data Repository, V2
A key informant’s survey (KIS) was undertaken to understand the extension system in Uganda. The survey sought to determine the existing extension structure, and approaches used by various agencies to disseminate agricultural technologies, information and skills to farmers, as wel...
Add Data

Sign up or log in to create a dataverse or add a dataset.

Share Dataverse

Share this dataverse on your favorite social media networks.

Link Dataverse
Reset Modifications

Are you sure you want to reset the selected metadata fields? If you do this, any customizations (hidden, required, optional) you have done will no longer appear.

Contact World Agroforestry (ICRAF) Support

World Agroforestry (ICRAF) Support

Please fill this out to prove you are not a robot.

+ =