New multi-model approach gives good estimations of wheat yield under semi-arid climate in Morocco

被引:34
作者
Bregaglio, Simone [1 ]
Frasso, Nicolo [1 ]
Pagani, Valentina [1 ]
Stella, Tommaso [1 ]
Francone, Caterina [1 ]
Cappelli, Giovanni [1 ]
Acutis, Marco [1 ]
Balaghi, Riad [2 ]
Ouabbou, Hassan [3 ]
Paleari, Livia [1 ]
Confalonieri, Roberto [1 ]
机构
[1] Univ Milan, Dept Agr & Environm Sci Prod, Cassandra Lab, I-20133 Milan, Italy
[2] Inst Natl Rech Agron, Dept Environm & Nat Resources, Rabat, RP, Morocco
[3] Inst Natl Rech Agron, Dept Plant Breeding & Genet Resources, Ctr Reg Rech Agron Settat, Settat, Morocco
关键词
Food security; Drought; Water stress; Crop monitoring; WOFOST; CropSyst; MODEL; MANAGEMENT; SYSTEMS; AREA;
D O I
10.1007/s13593-014-0225-6
中图分类号
S3 [农学(农艺学)];
学科分类号
0901 ;
摘要
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 R (2) 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.
引用
收藏
页码:157 / 167
页数:11
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