Decomposing rice yield gaps into efficiency, resource and technology yield gaps in sub-Saharan Africa

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cg.authorship.typesCGIAR and developing country instituteen
cg.contributor.affiliationAfrica Rice Centeren
cg.contributor.affiliationInternational Potato Centeren
cg.contributor.affiliationUniversity of Bonnen
cg.contributor.crpRice
cg.coverage.regionAfrica
cg.coverage.regionSub-Saharan Africa
cg.creator.identifierElke Vandamme: 0000-0002-0961-6528
cg.identifier.doihttps://doi.org/10.1016/j.fcr.2020.107963en
cg.isijournalISI Journalen
cg.issn0378-4290en
cg.journalField Crops Researchen
cg.subject.cipBIODIVERSITY FOR THE FUTUREen
cg.volume258en
dc.contributor.authorDossou-Yovo, Elliott Ronalden
dc.contributor.authorVandamme, Elkeen
dc.contributor.authorDieng, I.en
dc.contributor.authorJohnson, J.M.en
dc.contributor.authorSaitoa, K.en
dc.date.accessioned2020-11-14T22:07:16Zen
dc.date.available2020-11-14T22:07:16Zen
dc.identifier.urihttps://hdl.handle.net/10568/110163
dc.titleDecomposing rice yield gaps into efficiency, resource and technology yield gaps in sub-Saharan Africaen
dcterms.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 site-production 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 priorityen
dcterms.accessRightsLimited Access
dcterms.audienceScientistsen
dcterms.audienceCGIARen
dcterms.bibliographicCitationDossou-Yovo, E.R., Vandamme, E., Dieng, I., Johnson, J.M., Saitoa, K. (2020). Decomposing rice yield gaps into efficiency, resource and technology yield gaps in sub-Saharan Africa. Field Crops Research. ISSN 0378-4290. v258: 107963en
dcterms.issued2020-11
dcterms.languageen
dcterms.licenseCopyrighted; all rights reserved
dcterms.publisherElsevieren
dcterms.subjectriceen
dcterms.subjectcrop modellingen
dcterms.subjectfertilizersen
dcterms.typeJournal Article

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