Khabba S., Er-Raki S., Toumi J., Ezzahar J., Hssaine B. A., Le Page Michel, Chehbouni Abdelghani. (2020). A simple light-use-efficiency model to estimate wheat yield in the semi-arid areas. Agronomy, 10 (10), p. 1524 [23 p.].
Titre du document
A simple light-use-efficiency model to estimate wheat yield in the semi-arid areas
Khabba S., Er-Raki S., Toumi J., Ezzahar J., Hssaine B. A., Le Page Michel, Chehbouni Abdelghani
Source
Agronomy, 2020,
10 (10), p. 1524 [23 p.]
In this study, a simple model, based on a light-use-efficiency model, was developed in order to estimate growth and yield of the irrigated winter wheat under semi-arid conditions. The originality of the proposed method consists in (1) the modifying of the expression of the conversion coefficient (epsilon(conv)) by integrating an appropriate stress threshold (k(sconv)) for triggering irrigation, (2) the substitution of the product of the two maximum coefficients of interception (epsilon(imax)) and conversion (epsilon(conv_max)) by a single parameter epsilon(max), (3) the modeling of epsilon(max) 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 on the maximum value of the Normalized Difference Vegetation Index (NDVI). The calibration and validation of the proposed model were performed based on the observations of wheat dry matter (DM) and grain yield (GY) which were collected on the R3 irrigated district of the Haouz plain (center of Morocco), during three agricultural seasons. Further, the outputs of the simple model were also evaluated against the AquaCrop model estimates. The model calibration allowed the parameterization of epsilon(max) in four periods according to the wheat phenological stages. By contrast, a linear evolution was sufficient to represent the relationship between HI and CGDD. For the model validation, the obtained results showed a good agreement between the estimated and observed values with a Root Mean Square Error (RMSE) of about 1.07 and 0.57 t/ha for DM and GY, respectively. These correspond to a relative RMSE of about 19% for DM and 20% for GY. Likewise, although of its simplicity, the accuracy of the proposed model seems to be comparable to that of the AquaCrop model. For GY, R-2, and RMSE values were respectively 0.71 and 0.44 t/ha for the developed approach and 0.88 and 0.37 t/ha for AquaCrop. Thus, the proposed simple light-use-efficiency model can be considered as a useful tool to correctly reproduce DM and GY values.
