A review of the scope of farmer participatory research to inform breeding of root, tuber and banana cropsdoi:10.7910/DVN/TIKPWYHarvard Dataverse2022-04-061Valle, José Francesco; Arnaud, Elizabeth; Marimo, Pricilla; van Etten, Jacob, 2022, "A review of the scope of farmer participatory research to inform breeding of root, tuber and banana crops", https://doi.org/10.7910/DVN/TIKPWY, Harvard Dataverse, V1, UNF:6:t35ATaZ3sHYv87UDmuoyQA== [fileUNF]A review of the scope of farmer participatory research to inform breeding of root, tuber and banana cropsdoi:10.7910/DVN/TIKPWYValle, José FrancescoArnaud, ElizabethMarimo, Pricillavan Etten, JacobThe Alliance of Bioversity International and CIATHarvard DataverseThe Alliance of Bioversity International and CIATAlliance Data ManagementArnaud, ElizabethGarcia, Carolina2021-05-12Agricultural SciencesPARTICIPATORY RESEARCHFARMER PARTICIPATIONVARIETY TRIALSROOT CROPSTUBER CROPSBANANASDigital InclusionDigital Solutions TeamCGIAR Research Program on Roots, Tubers and BananasEuropeAfricaPARTICIPATORY RESEARCHPLANT BREEDINGBREEDINGCULTIVAR SELECTIONPARTICIPATORY VARIETAL SELECTIONFARMERS’ PREFERENCESFARMERS’ CROP TRAITSIn order to assess the advances in participatory research for root, tuber and banana crops with focus on trait preferences, we have compiled available published and grey literature about Participatory Varietal Selection up to September 2020. Methodology: In total 123 entries in the database. Studies were characterized and priority traits were extracted and categorized. We performed a spatio-temporal analyse of the studies in research methodologies, gender inclusiveness and trait preferences across participatory research in cassava, banana, plantain, sweetpotato, yam and potato.2020-092020-072020-12-31Small holder farmers are targeted by the studies we reviewed. We provide analysis of the gender inclusion in the studies.Qualitative DataAggregate DataGeospatial DataBreeding DataGeographic DataSocio-economic DataGender DataCrop Traits<a rel="license" href="http://creativecommons.org/licenses/by-nc-sa/4.0/" target="_blank"><img alt="Creative Commons License" style="border-width:0" src="https://i.creativecommons.org/l/by-nc-sa/4.0/88x31.png" /></a> These data and documents are licensed under a <a href="http://creativecommons.org/licenses/by-nc-sa/4.0/" target="_blank"> Creative Commons Attribution 4.0 International license.</a> You may copy, distribute and transmit the data as long as you acknowledge the source through proper <a href="http://best-practices.dataverse.org/data-citation/" target="_blank">data citation</a>. Disclaimer Whilst utmost care has been taken by the Alliance of Bioversity International and CIAT and data authors while collecting and compiling the data, the data is however offered "as is" with no express or implied warranty. In no event shall the data authors, the Alliance of Bioversity International and CIAT, or relevant funding agencies be liable for any actual, incidental or consequential damages arising from use of the data. By using the Alliance of Bioversity International and CIAT Dataverse, the user expressly acknowledges that the Data may contain some nonconformities, defects, or errors. No warranty is given that the data will meet the user's needs or expectations or that all nonconformities, defects, or errors can or will be corrected. The user should always verify actual data; therefore the user bears all responsibility in determining whether the data is fit for the user’s intended use. The user of the data should use the related publications as a baseline for their analysis whenever possible. Doing so will be an added safeguard against misinterpretation of the data. Related publications are listed in the metadata section of the Dataverse study. 01b. Database - Papers.tab12412text/tab-separated-valuesUNF:6:Wy/KtvFLM/k0I4+OWdjGxg==Database - Papers01c. Database - Location with GPS.tab7487text/tab-separated-valuesUNF:6:bGtMQeQj3S9JQaj7Wjv9hA==Database - Location with GPS01d. Database - Location.tab7485text/tab-separated-valuesUNF:6:U0QCOtr4LBVcCywBGypuHg==Database - Location01e. Database - Methodology.tab26014text/tab-separated-valuesUNF:6:vTCBHcnl5td6WVxFQm6R8Q==Database - Methodology01f. Database - Attributes.tab276813text/tab-separated-valuesUNF:6:6+NzeY81llv/yDezjxlO6g==Database - AttributesID0.01.0.61.69354838709673124.035.66948034324287123.061.5UNF:6:GtHYTsjNiIkCsKslONIjug==DOIUNF:6:T15Wp9nKkSmnPFV62F9E/A==TitleUNF:6:sGjiSIWwcY7GwDKU1QUYnQ==Year of Publication (YOP)0.0.2020.02011.532258064516124.04.9982687797526391996.02013.0UNF:6:oDAl2DlscgESGRtIbS5Ruw==CountryUNF:6:5dLIWpX/6Q/69mB8fdlVXg==CropUNF:6:BvyAV3nFRkm79DoI5+Y+1w==Gender_focusUNF:6:Ssls/boDNT9kfEWCltRANg==Yellow_Biofortified UNF:6:XFhrUwBZmqZNIMEJQb/oVA==Available_datasetsUNF:6:3O73DuYn7DqzNR5h1XOmng==CoordinatesUNF:6:aMxN6RDCM6GKhL3nOeW7Hw==Banana_typesUNF:6:xhFb5eXc0pklrtZqwh4Smw==*******UNF:6:a4Y+mb/rtEjM3hjfPFpsKQ==ID123.065.14056224899582747.063.034.483672185610231.0.1.0UNF:6:Ly4XEIg9NZQAPaBzHKS0bQ==Site_ID374.01.01.0747.0215.78461483618335.374.0747.0UNF:6:u8T2e/imMVxb4YSqf6FLhA==Locations UNF:6:PLn3V5GyQIEdn1chIAxGfw==LatUNF:6:pfhh3dFHb3kTF65j27Zn7Q==LongUNF:6:XLtmYEu+ILfpirzv0i1TQw==GeounitUNF:6:EbpsA4YD/Sry3j4S4/Ladw==CropUNF:6:XxAPNz1bVrcwxiyO8wkDUA==ID123.0747.065.140562248995821.034.483672185610231.0.63.0UNF:6:Ly4XEIg9NZQAPaBzHKS0bQ==Site_ID374.0747.01.0747.0374.0.1.0215.78461483618335UNF:6:u8T2e/imMVxb4YSqf6FLhA==Locations UNF:6:PLn3V5GyQIEdn1chIAxGfw==GeounitUNF:6:EbpsA4YD/Sry3j4S4/Ladw==CropUNF:6:XxAPNz1bVrcwxiyO8wkDUA==ID1.0123.055.292307692307794260.00.055.5.34.7011390673138UNF:6:6a1lnjfkvWOc994IRXp4hA==Study_ID130.5130.5260.0.75.19973404208290.0260.01.0UNF:6:FQGML/LKLK1NvhgSVWTTRg==FrameworkUNF:6:50UStf6QohLY2ZgETVkEOg==First Year of TrialUNF:6:oCFYZZPity7xFbOW8LpO2w==Last Year of TrialUNF:6:dd90Y7ABeO1o2otLnPrRng==SetupUNF:6:ytdPm8pvZ6LOZ3BZNdZPKw==N_ParticipantsUNF:6:bPWOfKgLDVLZWKO8lh8Kkg==Female_PercentageUNF:6:pVfaruCSSRvVmTdiHsWW/A==N_Trial_sitesUNF:6:w+Zmq2OqFarAPez51mRJyQ==Trial_ManagementUNF:6:UyG/Fco69gIm9BOa7JVbig==LocationUNF:6:gB4w4XNRaM3TOoATPU5qxw==Sampling_methodUNF:6:/vq5Jrv4nyH/FwtPbu3Vlw==Sampling_genderUNF:6:dlW0vYmgZlvkb+vS6tv6sA==Gender_disaggregationUNF:6:iXWNynksr9qBpj9Sd2D5nw==ID1.0123.062.472904624276110.037.5141846096504.64.02768.0UNF:6:V1YYmzHaUwdpej7NUzjbfw==Trait_ID0.0799.19709709182512768.01384.51384.5.1.02768.0UNF:6:pnfPZe+BfWltXY/ubDSuGA==Socioeconomic_AspectsUNF:6:lzvw7owxGFDbDobmao6lTA==CO IDUNF:6:iAtW65ev5aHiLloKbQTZLg==Trait_feedback_originalUNF:6:MmB1xQMy2dGQ7IkKBg8Zpg==Trait_standardizedUNF:6:23diwZp+niWa/0EViQ5xZw==Trait_categoryUNF:6:T4COOtsNZErXjPEeANmrKQ==ProtocolUNF:6:WTWNPW6YDOMlesldlQUWPQ==EntityUNF:6:H7T6ZOuxQUXIg1+K8Hl/oQ==Reported_byUNF:6:wMDVMOeyF+gD/3wk5ue24A==ScaleUNF:6:gzDBDN2WCHHvpgR1PXlKdA==Preferred_formUNF:6:2c491tSIRDq2RUCtMX/TIQ==CropUNF:6:jGtdO/iy2vPfQ7z6cX7lHA==01a. Database - Codebook.xlsDatabase - Codebookapplication/vnd.ms-excel02. Database - Bibliography.docxDatabase - Bibliography - List of all literature compiledapplication/vnd.openxmlformats-officedocument.wordprocessingml.document03a. Geospatial Analysis - Methodology count.gpkgA supplement to the geospatial data analysis from the RTB Trait Database. Includes the cloropleth map of paper distribution at country level for PVS, Preferences (trait prioritization) and Sensory trials studiesapplication/octet-stream03b. Geospatial Analysis - Research_distribution.gpkgA supplement to the geospatial data analysis from the RTB Trait Database. Includes the cloropleth map of paper distribution at country level and the centroid marker for each papers based on all trial locations (disaggregated by crop)application/octet-stream03c. Geospatial Analysis - Trait_categories_distribution.gpkgA supplement to the geospatial data analysis from the RTB Trait Database. Includes the centroit marker for each papers based on all trial locations and the filling of the marker representing presence or absence for each trait categoryapplication/octet-stream03d. Geospatial Analysis - Crop_distribution.gpkgA supplement to the geospatial data analysis from the RTB Trait Database. Includes the cloropleth map of paper distribution at first administrative unit level for the total papers and disaggregated by cropapplication/octet-stream03e. Geospatial Analysis - Banana_locations_overlays.gpkgA supplement to the geospatial data analysis from the RTB Trait Database. Includes the 2017_SSA_MapSpam areas of cultivation overlay for banana and plantain and the trial locations from the Databaseapplication/octet-stream03f. Geospatial Analysis - Cassava_locations_overlays.gpkgA supplement to the geospatial data analysis from the RTB Trait Database. Includes the 2017_SSA_MapSpam areas of cultivation overlay for cassava and the trial locations from the Databaseapplication/octet-stream