Simple and spatialized approach to optimize irrigation water and wheat yield in the semi-arid areas

S. Khabba, J. Toumi, S. Er-Raki, M. Le Page, J. Ezzahar, A. Chehbouni, L. Jarlan
In this study, we developed a simple and spatialized wheat yield method based on the Monteith's three efficiency model. The originality of the method consists in: (1) the expression of the conversion coefficient (εconv) by considering an appropriate stress threshold (ksconv) for triggering irrigation, (2) the substitution of the product of the two maximum coefficients of interception (εimax) and conversion (εconv_max) by a single parameter εmax, (3) the modeling of εmax as a function of the Cumulative Growing Degree Days (CGDD) since sowing date, and (4) the dynamic expression of the harvest index (HI) as a function of the CGDD and the final harvest index (HI0) depending of the maximum values of the normalized difference vegetation index (NDVI). The calibration and validation of the proposed model were performed by using observed dry matter (DM) and grain yield (GY) on wheat conducted on the irrigated zone R3 of the Haouz plain (center of Morocco), during three agricultural seasons 2002/2003, 2008/2009 and 2012/2013. The model calibration allowed the parameterization of εmax in four periods according to the wheat phenological stages. By contrast, a linear evolution was sufficient to represent the relationship between HI and CGDD. The model validation was performed at the field and regional scales. For the field scale, the obtained results showed a good agreement between the estimated and observed values of DM and GY with Root Mean Square Error (RMSE) of about 1.07 and 0.57 t 
ha‑1, respectively. Likewise, at the regional scale, the proposed approach was tested over the irrigated district (R3) by using Landsat/spot images for mapping GY and DM. The RMSE values were 1.21 and 0.34 t ha‑1 between measured and simulated DM and GY, respectively.
Khabba, S., Toumi, J., Er-Raki, S., Le Page, M., Ezzahar, J., Chehbouni, A. and Jarlan, L. (2022). Simple and spatialized approach to optimize irrigation water and wheat yield in the semi-arid areas. Acta Hortic. 1335, 717-724
DOI: 10.17660/ActaHortic.2022.1335.91
wheat, dry matter, grain yield, semi-arid, Monteith model, remote sensing

Acta Horticulturae