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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.
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31 to 40 of 163 Results
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)
Tab-Delimited - 6.0 KB - MD5: 464e95c6f20ae65aac2eed9374e64d30
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 - Phenology scores
MS Excel Spreadsheet - 128.5 KB - MD5: ff8f0ac4d6f9e0284d6deb7220e789ec
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
Tab-Delimited - 1.0 KB - MD5: d28773de8b93a537bfd2edc6c804ef27
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