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.

New multi-model approach gives good estimations of wheat yield under semi-arid climate in Morocco / S. Bregaglio, N. Frasso, V. Pagani, T. Stella, C. Francone, G. Cappelli, M. Acutis, R. Balaghi, H. Ouabbou, L. Paleari, R. Confalonieri. - In: AGRONOMY FOR SUSTAINABLE DEVELOPMENT. - ISSN 1774-0746. - 35:1(2015), pp. 157-167. [10.1007/s13593-014-0225-6]

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

S. Bregaglio
;
N. Frasso
Secondo
;
V. Pagani;T. Stella;C. Francone;G. Cappelli;M. Acutis;L. Paleari;R. Confalonieri
Ultimo
2015

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.
Food security; Drought; Water stress; Crop monitoring; WOFOST; CropSyst
Settore AGR/02 - Agronomia e Coltivazioni Erbacee
   Crop Monitoring as an E-agriculture tool in developing countries
   E-AGRI
   EUROPEAN COMMISSION
   FP7
   270351
2015
4-apr-2014
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/2434/234716
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