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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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131 to 140 of 163 Results
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, "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, "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
Tab-Delimited - 3.6 KB - MD5: 9fa7f164aab03dbd5ea64ebf140d5c3e
Aug 5, 2019 - Long-Term Agroforestry Trial - Kenya
Njoroge, Julius; Muthuri, Catherine, 2019, "Tree height and basal diameter", https://doi.org/10.34725/DVN/VXOLFJ, World Agroforestry - Research Data Repository, V1
Tree height and basal diameter measurements were taken for the period between Dec 2012 and March 2016 to show growth trends
MS Excel Spreadsheet - 950.3 KB - MD5: d09882cfe00881b178dea97d178d8163
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
Tab-Delimited - 69.3 KB - MD5: 7ff7a63402ca7376e6188003ab8dfbc7
Aug 5, 2019 - Long-Term Agroforestry Trial - Kenya
Njoroge, Julius; Muthuri, Catherine, 2019, "Soil profile pit characterization", https://doi.org/10.34725/DVN/ZYW99C, World Agroforestry - Research Data Repository, V1
Profile pits were dug and soil profiling done to classify the dominant soil types and their properties including pH, soil nutrients and calcuim exchange capacity (CEC)
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