Dynamic plant uptake model applied for drip irrigation of an insecticide to pepper fruit plants

Legind, Charlotte Nielsen; Kennedy, Coleen M; Rein, Arno; Snyder, Nathan; Trapp, Stefan

doi:10.1002/ps.2087

Cited by 49 publications

(63 citation statements)

References 23 publications

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“…This was postulated before [9]. The difference of calculated concentrations at t A more detailed sensitivity study was done recently [26], where a Monte-Carlo analysis was carried out varying all input parameters at the same time by 10% of the mean value (i.e., variation with a standard deviation of 0.1 times the default, using a normal distribution). In order to predict the peak and final concentration of an insecticide in fruits, a high sensitivity was found for degradation rates or for temperature (because temperature affects degradation rates).…”

Section: Dynamic Uptake Into Spring Wheatmentioning

confidence: 99%

“…Multi-Cascade approach, in a version with pulse input and modified to consider temperature dependency, was applied to model drip irrigation of an insecticide [26]. The agreement between measured and simulated concentrations was high, and complete agreement could be achieved by the fit of few input parameters.…”

Section: Applicability and Limitations Of The New Conceptmentioning

confidence: 99%

“…Pesticide uptake was investigated in detail in another study, applying the Multi-Cascade model in a version with pulse input [26]. concentration.…”

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confidence: 99%

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New concepts for dynamic plant uptake models

Rein

Legind

Trapp

2011

SAR and QSAR in Environmental Research

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Models for the prediction of chemical uptake into plants are widely applied tools for human and wildlife exposure assessment, pesticide design and for environmental biotechnology such as phytoremediation. Steady-state considerations are often applied, because they are simple and have a small data need. However, often the emission pattern is non-steady. Examples are pesticide spraying, or the application of manure and sewage sludge on agricultural fields. In these scenarios, steady-state solutions are not valid, and dynamic simulation is required.We compared different approaches for dynamic modelling of plant uptake in order to identify relevant processes and time-scales of processes in the soil-plant-air system. Based on the outcome, a new model concept for plant uptake models was developed, approximating logistic growth and coupling transpiration to growing plant mass. The underlying system of differential equations was solved analytically for the inhomogenous case, i.e., for constant input. By superposition of the results of n periods, changes in emission and input data between periods are considered. This combination allows to mimick most input functions that are relevant in practice.The model was set up, parameterised and tested for uptake into growing crops. The outcome was compared to a numerical solution, to verify the mathematical structure.

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Section: Dynamic Uptake Into Spring Wheatmentioning

confidence: 99%

Section: Applicability and Limitations Of The New Conceptmentioning

confidence: 99%

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New concepts for dynamic plant uptake models

Rein

Legind

Trapp

2011

SAR and QSAR in Environmental Research

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“…Of these, volatilization from plant surfaces to 75 air is a well-known loss process contributing to overall dissipation from plants. Van Degradation has been reported to be one of the predominant dissipation processes [25][26][27] in such experiments. The transferability of these results to field conditions is thus uncertain.…”

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confidence: 99%

“…Higher temperature is typically associated with higher degradation rates [18, 25,55 Tables S2 and S3 …”

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Analysing half-lives for pesticide dissipation in plants

Jacobsen

Fantke

Trapp

2015

SAR and QSAR in Environmental Research

102

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Mapping Plant Bioaccumulation Potentials of Pesticides from Soil Using Satellite‐Based Canopy Transpiration Rates

2022

Enviro Toxic and Chemistry

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The transpiration rate is an important factor that determines the bioaccumulation potential of pesticides from soil and can present a spatiotemporal pattern. In the present study, we proposed a satellite-based approach to map the bioaccumulation potential of pesticides from soil using the Global Land Evaporation Amsterdam Model (GLEAM). In the proposed model, the spatiotemporal variable (i.e., plant transpiration rate) was separately analyzed from the plant-and chemical-specific variables. The simulated bioaccumulation factors (BAFs; steady-state concentration ratios between plants and soil) of atrazine and lindane for the United States indicated that the proposed model can better predict the spatiotemporal pattern of bioaccumulation potentials of pesticides from soil than a previous weather-based model. The proposed approach using GLEAM's satellite data avoids the overestimation of plant transpiration rate in regions with a dry and warm climate. The comparison of BAFs between the proposed and weather-based models indicated that the satellite-based simulation was consistent with the weather-based simulation for most states and was more effective for the southwest region. Furthermore, plant-and chemical-specific variables were simulated for over 700 pesticides, which could be multiplied by satellite-based canopy transpiration rates to map the bioaccumulation potentials of chemicals from soil. Further evaluation of plant-specific variables, partitioning behaviors of ionizable compounds, and multiple uptake routes (e.g., airborne residue deposition) will aid in the evaluation of the spatiotemporal patterns of pesticide BAFs in plants in future research.

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Dynamic plant uptake model applied for drip irrigation of an insecticide to pepper fruit plants

Cited by 49 publications

References 23 publications

New concepts for dynamic plant uptake models

New concepts for dynamic plant uptake models

Analysing half-lives for pesticide dissipation in plants

Mapping Plant Bioaccumulation Potentials of Pesticides from Soil Using Satellite‐Based Canopy Transpiration Rates

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