dc.creator | Röll, Georg | |
dc.creator | Batchelor, William | |
dc.creator | Castro, Ana Carolina | |
dc.creator | Simón, María Rosa | |
dc.creator | Graeff-Hönninger, Simone | |
dc.date | 2019 | |
dc.date | 2021-09-22T16:22:29Z | |
dc.date.accessioned | 2023-07-15T03:22:02Z | |
dc.date.available | 2023-07-15T03:22:02Z | |
dc.identifier | http://sedici.unlp.edu.ar/handle/10915/125384 | |
dc.identifier | https://www.mdpi.com/2073-4395/9/3/120 | |
dc.identifier | issn:2073-4395 | |
dc.identifier.uri | https://repositorioslatinoamericanos.uchile.cl/handle/2250/7465440 | |
dc.description | Developing disease models to simulate and analyse yield losses for various pathogens is a challenge for the crop modelling community. In this study, we developed and tested a simple method to simulate septoria tritici blotch (STB) in the Cropsim-CERES Wheat model studying the impacts of damage on wheat (Triticum aestivum L.) yield. A model extension was developed by adding a pest damage module to the existing wheat model. The module simulates the impact of daily damage on photosynthesis and leaf area index. The approach was tested on a two-year dataset from Argentina with different wheat cultivars. The accuracy of the simulated yield and leaf area index (LAI) was improved to a great extent. The Root mean squared error (RMSE) values for yield (1144 kg ha⁻¹) and LAI (1.19 m2 m⁻²) were reduced by half (499 kg ha⁻¹) for yield and LAI (0.69 m² m⁻²). In addition, a sensitivity analysis of different disease progress curves on leaf area index and yield was performed using a dataset from Germany. The sensitivity analysis demonstrated the ability of the model to reduce yield accurately in an exponential relationship with increasing infection levels (0–70%). The extended model is suitable for site specific simulations, coupled with for example, available remote sensing data on STB infection. | |
dc.description | Facultad de Ciencias Agrarias y Forestales | |
dc.description | Comisión de Investigaciones Científicas de la provincia de Buenos Aires | |
dc.format | application/pdf | |
dc.language | en | |
dc.rights | http://creativecommons.org/licenses/by/4.0/ | |
dc.rights | Creative Commons Attribution 4.0 International (CC BY 4.0) | |
dc.subject | Ciencias Agrarias | |
dc.subject | Wheat | |
dc.subject | Disease | |
dc.subject | Yield | |
dc.subject | Septoria tritici blotch | |
dc.subject | Leaf area index | |
dc.subject | Crop modelling | |
dc.subject | Decision support system for agrotechnology transfer (DSSAT) | |
dc.subject | Cropsim-CERES Wheat | |
dc.title | Development and Evaluation of a Leaf Disease Damage Extension in Cropsim-CERES Wheat | |
dc.type | Articulo | |
dc.type | Articulo | |