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dc.contributorMulia, Rachmaten_US
dc.contributorJosias, Sanouen_US
dc.contributorZombre, G.en_US
dc.contributorBayala, Julesen_US
dc.contributorKalinganire, Antoineen_US
dc.contributorvan Noordwijk, Meineen_US
dc.creatorCoulibaly, Y. Nen_US
dc.date2014-11-30en_US
dc.date.accessioned2017-01-10T18:24:05Z
dc.date.available2017-01-10T18:24:05Z
dc.identifierhttps://mel.cgiar.org/reporting/download/hash/fV1nqiHlen_US
dc.identifier.citationY. N Coulibaly, Rachmat Mulia, Sanou Josias, G. Zombre, Jules Bayala, Antoine Kalinganire, Meine van Noordwijk. (30/11/2014). Crop production under different rainfall and management conditions in agroforestry parkland systems in Burkina Faso: observations and simulation with WaNuLCAS model. Agroforestry Systems, 88, pp. 13-28.en_US
dc.identifier.urihttps://hdl.handle.net/20.500.11766/5479
dc.description.abstractTraditional agroforestry parkland systems in Burkina Faso are under threat due to human pressure and climate variability and change, requiring a better understanding for planning of adaptation. Field experiments were conducted in three climatic zones to assess Sorghum bicolor (L.) Moench (Sorghum) biomass, grain yield and harvest index in parklands under different rainfall pattern and compared to simulations of sorghum biomass and grain yield with the Water, Nutrient and Light Capture in Agroforestry Systems (WaNuLCAS) model for calibration and parametrisation. For planning adaptation, the model was then used to evaluate the effects of different management options under current and future climates on sorghum biomass and grain yield. Management options studied included tree densities, tree leaf pruning, mulching and changes in tree root patterns affecting hydraulic redistribution. The results revealed that sorghum biomass and grain yield was more negatively affected by Parkia biglobosa (Jacq.) Benth. (ne´re´) compared to Vitellaria paradoxa C. F Gaertn (karite´) and Adansonia digitata L. (baobab), the three main tree species of the agroforestry parkland system. Sorghum biomass and grain yield in different influence zones (sub-canopy, outside edge of canopy, open field) was affected by the amount of precipitation but also by tree canopy density, the latter depending itself on the ecological zone. The harvest index (grain as part of total biomass) was highest under the tree canopy and in the zone furthest from the tree, an effect that according to the model reflects relative absence of stress factors in the later part of the growing season. While simulating the effects of different management options under current and future climates still requires further empirical corroboration and model improvement, the options of tree canopy pruning to reduce shading while maintaining tree root functions probably is key to parkland adaptation to a changing climateen_US
dc.formatPDFen_US
dc.languageenen_US
dc.publisherSpringer Verlag (Germany)en_US
dc.rightsCC-BY-NC-4.0en_US
dc.sourceAgroforestry Systems;88,(2014) Pagination 13,28en_US
dc.subjecthydraulic redistribution. rootsen_US
dc.subjecttree–soil–crop interactionsen_US
dc.subjectwanulcasen_US
dc.subjectscenariosen_US
dc.subjectmodelingen_US
dc.titleCrop production under different rainfall and management conditions in agroforestry parkland systems in Burkina Faso: observations and simulation with WaNuLCAS modelen_US
dc.typeJournal Articleen_US
cg.creator.idBayala, Jules: 0000-0002-8579-1248en_US
cg.creator.idvan Noordwijk, Meine: 0000-0002-7791-4703en_US
cg.creator.ID-typeORCIDen_US
cg.creator.ID-typeORCIDen_US
cg.subject.agrovocclimate changeen_US
cg.contributor.centerCentre National de Recherche Scientifique et Technologique, Institut de l'Environement et de Recherche Agricole - CNRST- INERAen_US
cg.contributor.centerWorld Agroforestry Center - ICRAFen_US
cg.contributor.centerUniversity of Ouagadougouen_US
cg.contributor.crpCRP on Dryland Systems - DSen_US
cg.contributor.funderNot Applicableen_US
cg.date.embargo-end-date2015-11-30en_US
cg.coverage.regionWestern Africaen_US
cg.coverage.countryBFen_US
cg.contactj.bayala@cgiar.orgen_US
cg.identifier.doihttps://dx.doi.org/10.1007/s10457-013-9651-8en_US
dc.identifier.statusLimited accessen_US
mel.impact-factor1.373en_US


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