New multi-model approach gives good estimations of wheat yield under semi-arid climate in Morocco
cg.contact | simone.bregaglio@unimi.it | en_US |
cg.contributor.center | University of Milan | en_US |
cg.contributor.center | National Agricultural Research Institute of Tunisia - INRAT | en_US |
cg.contributor.center | National Institute of Agronomic Research of Morocco - INRA Morocco | en_US |
cg.contributor.crp | CRP on Dryland Systems - DS | en_US |
cg.contributor.funder | Government of Morocco - Morocco | en_US |
cg.contributor.project | Moroccan Collaborative Grants Program (MCGP) | en_US |
cg.contributor.project-lead-institute | International Center for Agricultural Research in the Dry Areas - ICARDA | en_US |
cg.coverage.country | MA | en_US |
cg.coverage.region | Northern Africa | en_US |
cg.identifier.doi | https://dx.doi.org/10.1007/s13593-014-0225-6 | en_US |
cg.isijournal | ISI Journal | en_US |
cg.journal | Agronomy for Sustainable Developmen | en_US |
cg.subject.agrovoc | drought | en_US |
cg.subject.agrovoc | food security | en_US |
cg.subject.agrovoc | water | en_US |
cg.volume | 35 | en_US |
dc.contributor | Balaghi, Riad | en_US |
dc.contributor | Ouabbou, Hassan | en_US |
dc.creator | Bregaglio, Simone | en_US |
dc.date.accessioned | 2017-02-10T01:19:31Z | |
dc.date.available | 2017-02-10T01:19:31Z | |
dc.description.abstract | Wheat production in Morocco is crucial for economy and food security. However, wheat production is difficult because the semi-arid climate causes very variable wheat yields. To solve this issue, we need better prediction of the impact of drought on wheat yields to adapt cropping management to the semi-arid climate. Here, we adapted the models WOFOST and CropSyst to agro-climatic conditions in Morocco. Six soft and durum wheat varieties were grown during the 2011–2012 and 2012–2013 growing seasons in the experimental sites of Sidi El Aydi, Khemis Zemamra and Marchouch. Drip irrigation and rainfed treatments were arranged in a randomised-block design with three replicates. We determined the phenological stages of emergence, tillering, stem elongation, flowering and maturity. We measured aboveground biomass six times along the season. These data were used to adapt WOFOST and CropSyst to local conditions. Our results show that both models achieved good estimations, with R2 always higher than 0.91, and positive values for Nash and Sutcliffe modelling efficiencies. Results of spatially distributed simulations were then analysed for the whole country in terms of different response to drought. | en_US |
dc.format | en_US | |
dc.identifier | https://mel.cgiar.org/reporting/downloadmelspace/hash/HusjNx8S/v/cfc0c4cde49b4eb722d79b872b6757e6 | en_US |
dc.identifier.citation | Simone Bregaglio, Riad Balaghi, Hassan Ouabbou. (4/4/2014). New multi-model approach gives good estimations of wheat yield under semi-arid climate in Morocco. Agronomy for Sustainable Developmen, 35. | en_US |
dc.identifier.status | Open access | en_US |
dc.identifier.uri | https://hdl.handle.net/20.500.11766/5666 | |
dc.language | en | en_US |
dc.publisher | Springer Verlag (Germany) | en_US |
dc.rights | CC-BY-NC-4.0 | en_US |
dc.source | Agronomy for Sustainable Developmen;35,(2014) | en_US |
dc.subject | crop | en_US |
dc.title | New multi-model approach gives good estimations of wheat yield under semi-arid climate in Morocco | en_US |
dc.type | Journal Article | en_US |
dcterms.available | 2014-04-04 | en_US |
mel.impact-factor | 4.141 | en_US |
mel.project.open | https://mel.cgiar.org/projects/195 | en_US |