Africa RISING - Malawi Productivity of Maize after Legumesdoi:10.7910/DVN/R9Z3YAHarvard Dataverse2017-08-302Michigan State University (MSU), 2015, "Africa RISING - Malawi Productivity of Maize after Legumes", https://doi.org/10.7910/DVN/R9Z3YA, Harvard Dataverse, V2Africa RISING - Malawi Productivity of Maize after Legumesdoi:10.7910/DVN/R9Z3YAMichigan State University (MSU)Chikowo, Regis (Michigan State University (MSU))Snapp, Sieglinde (Michigan State University (MSU))United States Agency for International Development (USAID)Lilongwe University of Agriculture and Natural Resources (LUANAR)International Center for Tropical Agriculture (CIAT)World Agroforestry Center (ICRAF)2015Washington, DCHarvard DataverseInternational Food Policy Research Institute (IFPRI)Snapp, SieglindeIFPRI-KM2017-07-282015Household- and Community-level SurveysAgricultural SciencesSocial SciencesmaizelegumeMALAWISOUTHERN AFRICAAFRICAAgricultural research<p> This data study contains legume maize sequencing yield data. </p> <p><h4>About the project </h4></p> <p><b>Project title: Africa RISING - Malawi Productivity of Maize after Legumes</b></p> <p><b> Project abstract </b></p> The Malawi project has local theme 'Agro-ecological intensification in Malawi through action research with smallholder farmers' with a lot of emphasis on co-learning with farmers and other stakeholders.The purpose of the Africa RISING Malawi component is to enhance farmer knowledge and support sustainable intensification (SI) pathways for productivity gains in maize-legume diversified systems, that also integrates livestock-related enterprises such as improved fodder for intensified dairy production. The project is setting up a research approach that systematically assesses SI best-bet options that appropriately respond to the needs of resource-poor farmers - particularly female headed households. Building on successful examples of participatory action research and experiences from biophysical research on smallholder farms in Malawi over the past 2 decades, the research team has begun taping into these products of agricultural research to move towards more sustainable smallholder production systems. We envisage that farm-scale production strategies employed by different farm/farmer typologies will be further distilled through scenario analyses using farming systems simulation modeling approaches. The project works with an alliance of actors, (agro-dealers, extension services, NGOs, local government structures, etc) as R4D platforms for the two districts.</p> <p><b>Project website</b>: <a href="http://africa-rising.net"> http://africa-rising.net/where-we-work/west-africa/</a></p> <p> <b>Project start date</b>: 01/01/2012</p> <p><b> Project end date </b>: 10/30/2016</p>MalawiAgronomy DataIf you are interested in accessing restricted datasets, kindly fill out this <a href="https://goo.gl/forms/muJtiDnuwhfAftQ83">data user agreement form.</a>If you are interested in accessing restricted datasets, kindly fill out this <a href="https://goo.gl/forms/muJtiDnuwhfAftQ83">data user agreement form.</a><h3> IFPRI DATAVERSE TERMS OF USE </h3> By using this website and any of the materials made available through it, you agree to abide by the Terms of Use of IFPRI Dataverse. The datasets and documents in this study are licensed under <a rel="license" href="http://creativecommons.org/licenses/by/4.0/">Creative Commons Attribution 4.0 International License.</a><br /> <a rel="license" href="http://creativecommons.org/licenses/by/4.0/"><img alt="Creative Commons License" style="border-width:0" src="https://i.creativecommons.org/l/by/4.0/88x31.png" /></a>legumeMaizeSequentingYieldData2013_2015.xlsapplication/vnd.ms-excel