Improving crop pest/disease modeling

Fernandes, J. M.; Pavan, Willingthon; Pequeno, Diego Noleto Luz; Wiest, Roberto; Hölbig, Carlos Amaral; Oliveira, Flaviana Delmiro; Hoogenboom, Gerrit

doi:10.19103/as.2019.0061.07

Cited by 1 publication

(2 citation statements)

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“…This file also contains observed data for comparison with the simulation results (Hoogenboom et al, 2010). Alternatively, dynamic information about the actual pest or disease population or incidence can be provided by linking the crop model with a dynamic pest model or by incorporating dynamic pest modules into the crop model (Fernandes et al 2019).…”

Section: Applying Pest and Disease Damage In Crop Modulesmentioning

confidence: 99%

“…Pavan and Fernandes (2009) developed a generic disease model that can be parameterized to simulate the disease cycles of several crop diseases. This model was dynamically linked to CSM through the PEST subroutines inside the CROPGRO-Soybean crop module to estimate the effects of a fungal disease on soybean (Fernandes et al, 2019). Batchelor et al (2020) simulated the impact of leaf necrosis on maize yield due to lethal maize necrosis (MLN) using the PEST module coupled with CERES-Maize, a maize crop growth module of CSM.…”

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Coupling a Pest and Disease Damage Module with CSM-NWheat: A Wheat Crop Simulation Model

Ferreira¹,

Pavan²,

Fernandes³

et al. 2021

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HighlightsCSM-NWheat, a DSSAT wheat crop model, was coupled with a pest module named PEST.The coupled model can simulate the impact of pest and disease damage on wheat crops.Pest damage is expressed in daily steps by communication links called coupling points.Coupling points are linked with state variables at which pest damage can be applied.Field pest-scouting reports and linear interpolation are used to compute damage rates.Abstract. Wheat is one of the most important global staple crops and is affected by numerous pests and diseases. Depending on their intensity, pests and diseases can cause significant economic losses and even crop failures. Pest models can assist decision-making, thus helping reduce crop losses. Most wheat simulation models account for abiotic stresses such as drought and nutrients, but they do not account for biotic stresses caused by pests and diseases. Therefore, the objective of this study was to couple a dynamic pest and disease damage module to the DSSAT model CSM-NWheat. Coupling points were integrated into the CSM-NWheat model for applying daily damage to all plant components, including leaves, stems, roots, and grains, the entire plant, and to the assimilate supply. The coupled model was tested by simulating a wheat crop with virtual damage levels applied at each coupling point. Measured foliar damage caused by tan spot (Pyrenophora tritici-repentis) was also simulated. The modified model accurately estimated the reduction in leaf area growth and the yield loss when compared with observed data. With the incorporation of the pest module, CSM-NWheat can now predict the potential impact of pests and diseases on wheat growth and development, and ultimately economic yield. Keywords: Biotic stress, Decision support, DSSAT, Model coupling, Yield loss.

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Section: Applying Pest and Disease Damage In Crop Modulesmentioning

confidence: 99%

mentioning

confidence: 99%