Please use this identifier to cite or link to this item: http://197.159.135.214/jspui/handle/123456789/433
Full metadata record
DC FieldValueLanguage
dc.contributor.authorDossou-Yovo, Elliott Ronald-
dc.contributor.authorVandamme, Elke-
dc.contributor.authorJohnson, Jean-Martial-
dc.contributor.authorSaito, Kazuki-
dc.contributor.authorDieng, Ibnou-
dc.date.accessioned2022-11-15T01:50:04Z-
dc.date.available2022-11-15T01:50:04Z-
dc.date.issued2020-09-
dc.identifier.otherhttps://doi.org/10.1016/j.fcr.2020.107963-
dc.identifier.urihttp://197.159.135.214/jspui/handle/123456789/433-
dc.descriptionResearch Articleen_US
dc.description.abstractMeeting current rice demand in sub-Saharan Africa (SSA) requires narrowing yield gaps on currently available agricultural land. The objectives of this study were to decompose rice yield gaps into efficiency, resource and technology yield gaps and to identify priority areas for research and development in the major rice production systems (irrigated lowland, rainfed lowland, and rainfed upland) in SSA. Data were collected during the 2012–2015 wet seasons on soil properties, field operations and yields in 1529 fields at 34 sites in 20 countries using a standardized protocol. Stochastic frontier analysis using data on biophysical environment and fertilizer management practices together with a crop simulation model (ORYZA2000) was used to quantify the yield gap, and efficiency, resource, and technology yield gaps. Cluster analysis was performed to classify the site-production system combinations into yield gap groups. Actual rice yields were on average 3.8, 2.6 and 1.7 t/ha in irrigated lowland, rainfed lowland, and rainfed upland, respectively. The yield yap ranged from 2.0–10.0 t/ha across siteproduction system combinations while the efficiency, resource, and technology yield gaps varied between 0.9 to 5.7, 0.1 to 2.3 and 0 to 7.5 t/ha, respectively. On average, efficiency, resource, and technology yield gaps accounted for 23, 5 and 37 % of the benchmark yield (potential yield in irrigated lowland or water-limited potential yield in rainfed lowland and upland). Four yield gaps groups were identified and were related to the production systems, soil properties, and fertilizer application. Narrowing yield gaps requires the dissemination of integrated crop management practices in yield gaps groups with a large efficiency yield gap, whereas, in yield gaps groups with a large technology yield gap, the development of technologies to improve soil properties and fertilizer use should be given priority.en_US
dc.language.isoenen_US
dc.publisherField Crops Researchen_US
dc.subjectAgro-ecological zoneen_US
dc.subjectCrop modellingen_US
dc.subjectFertilizeren_US
dc.subjectSoilen_US
dc.subjectStochastic frontieren_US
dc.titleDecomposing rice yield gaps into efficiency, resource and technology yield gaps in sub-Saharan Africaen_US
dc.typeArticleen_US
Appears in Collections:Climate Change and Agriculture

Files in This Item:
File Description SizeFormat 
Decomposing rice yield gaps into efficiency, resource and technology yield.pdf4.31 MBAdobe PDFView/Open


Items in WASCAL Scholar are protected by copyright, with all rights reserved, unless otherwise indicated.