Assessing the biophysical factors affecting irrigation performance in rice cultivation using remote sensing derived information

Simple item page
cg.contributor.affiliationUniversity of Uludagen_US
cg.contributor.affiliationAfrica Rice Centeren_US
cg.contributor.affiliationUniversity of Southern Queenslanden_US
cg.contributor.affiliationInternational Water Management Instituteen_US
cg.contributor.affiliationInstitut de l'Environnement et Recherches Agricolesen_US
cg.contributor.donorPresidency for Turks Abroad and Related Communities (YTB) Funden_US
cg.coverage.countryBurkina Fasoen_US
cg.coverage.iso3166-alpha2BFen_US
cg.coverage.regionSub-Saharan Africaen_US
cg.coverage.subregionKou Valley Irrigation Schemeen_US
cg.creator.identifierElliott Dossou-Yovo: 0000-0002-3565-8879en_US
cg.creator.identifierSander J. Zwart: 0000-0002-5091-1801en_US
cg.identifier.doihttps://doi.org/10.1016/j.agwat.2022.108124en_US
cg.identifier.iwmilibraryH052098en_US
cg.isijournalISI Journalen_US
cg.issn0378-3774en_US
cg.journalAgricultural Water Managementen_US
cg.reviewStatusPeer Reviewen_US
cg.volume278en_US
dc.contributor.authorSawadogo, A.en_US
dc.contributor.authorDossou-Yovo, Elliott Ronalden_US
dc.contributor.authorKouadio, L.en_US
dc.contributor.authorZwart, Sander J.en_US
dc.contributor.authorTraoré, F.en_US
dc.contributor.authorGundogdu, K. S.en_US
dc.date.accessioned2023-08-01T11:36:42Zen_US
dc.date.available2023-08-01T11:36:42Zen_US
dc.identifier.urihttps://hdl.handle.net/10568/131365en_US
dc.titleAssessing the biophysical factors affecting irrigation performance in rice cultivation using remote sensing derived informationen_US
dcterms.abstractIdentifying the biophysical factors that affect the performance of irrigated crops in semi-arid conditions is pivotal to the success of profitable and sustainable agriculture under variable climate conditions. In this study, soil physical and chemical variables and plots characteristics were used through linear mixed and random forestbased modeling to evaluate the determinants of actual evapotranspiration (ETa) and crop water productivity (CWP) in rice in the Kou Valley irrigated scheme in Burkina Faso. Multi-temporal Landsat images were used within the Python module for the Surface Energy Balance Algorithm for Land model to calculate rice ETa and CWP during the dry seasons of 2013 and 2014. Results showed noticeable spatial variations in PySEBAL-derived ETa and CWP in farmers’ fields during the study period. The distance between plot and irrigation scheme inlet (DPSI), plot elevation, sand and silt contents, soil total nitrogen, soil extractable potassium and zinc were the main factors affecting variabilities in ETa and CWP in the farmers’ fields, with DPSI being the top explanatory variable. There was generally a positive association, up to a given threshold, between ETa and DPSI, sand and silt contents and soil extractable zinc. For CWP the association patterns for the top six predictors were all non-monotonic; that is a mix of increasing and decreasing associations of a given predictor to either an increase or a decrease in CWP. Our results indicate that improving irrigated rice performance in the Kou Valley irrigation scheme would require growing more rice at lower altitudes (e.g. < 300 m above sea level) and closer to the scheme inlet, in conjunction with a good management of nutrients such as nitrogen and potassium through fertilization.en_US
dcterms.accessRightsOpen Accessen_US
dcterms.available2023-01-09en_US
dcterms.bibliographicCitationSawadogo, A.; Dossou-Yovo, E. R.; Kouadio, L.; Zwart, Sander J.; Traore, F.; Gundogdu, K. S. 2023. Assessing the biophysical factors affecting irrigation performance in rice cultivation using remote sensing derived information. Agricultural Water Management, 278:108124. [doi: https://doi.org/10.1016/j.agwat.2022.108124]en_US
dcterms.extent278:108124.en_US
dcterms.issued2023-03en_US
dcterms.languageenen_US
dcterms.licenseCC-BY-NC-ND-4.0en_US
dcterms.publisherElsevieren_US
dcterms.subjectirrigation schemesen_US
dcterms.subjectperformanceen_US
dcterms.subjectirrigated riceen_US
dcterms.subjectbiophysicsen_US
dcterms.subjectremote sensingen_US
dcterms.subjectcropsen_US
dcterms.subjectwater productivityen_US
dcterms.subjectsoil physical propertiesen_US
dcterms.subjectchemical propertiesen_US
dcterms.subjectsustainable agricultureen_US
dcterms.subjectenergy balanceen_US
dcterms.subjectevapotranspirationen_US
dcterms.subjectsatellite imageryen_US
dcterms.subjectmodellingen_US
dcterms.subjectmachine learningen_US
dcterms.typeJournal Articleen_US

Files

License bundle

Now showing 1 - 1 of 1
Thumbnail Image
Name:
license.txt
Size:
1.75 KB
Format:
Item-specific license agreed upon to submission
Description:
Download

Collections

IWMI Journal Articles
Climate Change Adaptation and Resilience (CCAR)