A Simple Light-Use-Efficiency Model to Estimate Wheat Yield in the Semi-Arid Areas
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 (ε&...
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| Format: | Article |
| Language: | English |
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MDPI AG
2020-10-01
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| Series: | Agronomy |
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| Online Access: | https://www.mdpi.com/2073-4395/10/10/1524 |
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| author | Saïd Khabba Salah Er-Raki Jihad Toumi Jamal Ezzahar Bouchra Ait Hssaine Michel Le Page Abdelghani Chehbouni |
| author_facet | Saïd Khabba Salah Er-Raki Jihad Toumi Jamal Ezzahar Bouchra Ait Hssaine Michel Le Page Abdelghani Chehbouni |
| author_sort | Saïd Khabba |
| collection | DOAJ |
| description | 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 (ε<sub>conv</sub>) by integrating an appropriate stress threshold (k<sub>sconv</sub>) for triggering irrigation, (2) the substitution of the product of the two maximum coefficients of interception (ε<sub>imax</sub>) and conversion (ε<sub>conv_max</sub>) by a single parameter ε<sub>max</sub>, (3) the modeling of ε<sub>max</sub> 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 (HI<sub>0</sub>) 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 ε<sub>max</sub> 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<sup>2</sup>, 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. |
| first_indexed | 2024-03-10T15:48:32Z |
| format | Article |
| id | doaj.art-2adf6d5fc92e4b9fb4dcfbcc178d5d23 |
| institution | Directory Open Access Journal |
| issn | 2073-4395 |
| language | English |
| last_indexed | 2024-03-10T15:48:32Z |
| publishDate | 2020-10-01 |
| publisher | MDPI AG |
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| series | Agronomy |
| spelling | doaj.art-2adf6d5fc92e4b9fb4dcfbcc178d5d232023-11-20T16:15:06ZengMDPI AGAgronomy2073-43952020-10-011010152410.3390/agronomy10101524A Simple Light-Use-Efficiency Model to Estimate Wheat Yield in the Semi-Arid AreasSaïd Khabba0Salah Er-Raki1Jihad Toumi2Jamal Ezzahar3Bouchra Ait Hssaine4Michel Le Page5Abdelghani Chehbouni6LMFE, Physics Department, Faculty of Sciences Semlalia, Cadi Ayyad University, Marrakech 40000, MoroccoMohammed VI Polytechnic University (UM6P), Center for Remote Sensing Applications (CRSA), Benguerir 43150, MoroccoLMFE, Physics Department, Faculty of Sciences Semlalia, Cadi Ayyad University, Marrakech 40000, MoroccoMohammed VI Polytechnic University (UM6P), Center for Remote Sensing Applications (CRSA), Benguerir 43150, MoroccoMohammed VI Polytechnic University (UM6P), Center for Remote Sensing Applications (CRSA), Benguerir 43150, MoroccoCentre for Space Studies of the BIOsphere (CESBIO), CNES/CNRS/IRD/UPS, 31400 Toulouse, FranceMohammed VI Polytechnic University (UM6P), Center for Remote Sensing Applications (CRSA), Benguerir 43150, MoroccoIn 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 (ε<sub>conv</sub>) by integrating an appropriate stress threshold (k<sub>sconv</sub>) for triggering irrigation, (2) the substitution of the product of the two maximum coefficients of interception (ε<sub>imax</sub>) and conversion (ε<sub>conv_max</sub>) by a single parameter ε<sub>max</sub>, (3) the modeling of ε<sub>max</sub> 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 (HI<sub>0</sub>) 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 ε<sub>max</sub> 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<sup>2</sup>, 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.https://www.mdpi.com/2073-4395/10/10/1524wheatdry mattergrain yieldsimple modelcumulative growing degree daysnormalized difference vegetation index |
| spellingShingle | Saïd Khabba Salah Er-Raki Jihad Toumi Jamal Ezzahar Bouchra Ait Hssaine Michel Le Page Abdelghani Chehbouni A Simple Light-Use-Efficiency Model to Estimate Wheat Yield in the Semi-Arid Areas Agronomy wheat dry matter grain yield simple model cumulative growing degree days normalized difference vegetation index |
| title | A Simple Light-Use-Efficiency Model to Estimate Wheat Yield in the Semi-Arid Areas |
| title_full | A Simple Light-Use-Efficiency Model to Estimate Wheat Yield in the Semi-Arid Areas |
| title_fullStr | A Simple Light-Use-Efficiency Model to Estimate Wheat Yield in the Semi-Arid Areas |
| title_full_unstemmed | A Simple Light-Use-Efficiency Model to Estimate Wheat Yield in the Semi-Arid Areas |
| title_short | A Simple Light-Use-Efficiency Model to Estimate Wheat Yield in the Semi-Arid Areas |
| title_sort | simple light use efficiency model to estimate wheat yield in the semi arid areas |
| topic | wheat dry matter grain yield simple model cumulative growing degree days normalized difference vegetation index |
| url | https://www.mdpi.com/2073-4395/10/10/1524 |
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