Prediction of Weather-Mediated Release of Conidia of<i>Botrytis squamosa</i>from Onion Leaves in the Field

Lacy, M. L.

doi:10.1094/phyto-73-670

Cited by 29 publications

(34 citation statements)

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“…La brûlure des feuilles de l'oignon provoque de grandes pertes de rendement causées par le dépérissement des feuilles ce qui empêche le grossissement des bulbes et leur mûrissement. Le modèle prévi-sionnel a été développé par Lacy et Pontius [23] [4]. Le but du modèle est de prédire et suivre l'évolution de l'oviposition (ponte des oeufs) du charançon en fonction des degrés-jours (DJ) cumulés, à l'aide de la méthode de sinus simple (utilise une fonction sinusoïdale pour simuler la variation journalière de la température entre les valeurs minimales et maximales mesurées) [1], le long de la saison agricole à partir de la température maximale et minimale journalière.…”

Section: Brûlure Des Feuilles De L'oignonunclassified

“…Bien qu'il soit essentiel d'étudier toutes les sources d'erreurs pouvant affecter les sorties des modèles, dans la présente étude, il sera question uniquement de l'analyse des incertitudes rattachées aux variables agrométéorologiques, puisque les modèles eux mêmes, ainsi que leurs paramètres, ont déjà été étudiés par ailleurs [4,6,7,8,10,11,23].…”

Section: Introductionunclassified

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Analyse de l'incertitude de quatre modèles de phytoprotection relative à l'erreur des mesures des variables agrométéorologiques d'entrée

Chokmani

Viau

Bourgeois³

2001

Agronomie

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-Outputs uncertainty analysis of four crop protection models relative to agrometeorological inputs measurement errors. The use of computer models in crop protection increases our management and forecast capacities as well as it allows to reduce the increasing pressure of agricultural activity on natural resources by the optimization of phytosanitary products use. The CIPRA system (Centre Informatique de Prévision de Ravageurs en Agriculture), a modeling tool gathering, under a common computer frame, several forecasting models using standard weather data (temperature, wind, precipitation, relative humidity), is one of the first Canadian operational decision support systems in crop protection. Since models are just a simplification more or less representative of the corresponding biophysics system, it is of primary importance to study the implications and the limitations of their application by determining the uncertainty level on model outputs. The purpose of the present paper was to evaluate the impact of uncertainty associated with weather inputs measurement on the outputs of four models within CIPRA system. These models are the Cercospora blight of carrots (Cercospora carotae (Pass.) Solheim), the onion leaf blight (Botrytis squamosa J.C. Walker), the carrot weevil (Listronotus oregonensis (LeConte)) and the European corn borer (Ostrinia nubilalis (Hübner)). This objective was achieved using the relative sensitivity and the uncertainty propagation. Results show that the cercospora blight model is more sensitive to temperature than with relative humidity. In this case uncertainty on the relative humidity is a significant source of error in the outputs. The onion leaf blight model is primarily sensitive to the relative humidity fluctuations. The relative humidity is, therefore, the principal source of error in the model outputs. Finally, the two insects models (weevil and borer) are more sensitive to the maximum temperature than to the minimum temperature. Uncertainties on the two models outputs are low. In addition to the evaluation of the reliability and level of significance of the results provided by the four models, this study allows to identify the most significant meteorological variables for the models. modeling / crop protection / sensitivity analysis / uncertainty propagation

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Section: Brûlure Des Feuilles De L'oignonunclassified

Section: Introductionunclassified

Analyse de l'incertitude de quatre modèles de phytoprotection relative à l'erreur des mesures des variables agrométéorologiques d'entrée

Chokmani

Viau

Bourgeois³

2001

Agronomie

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“…Infection is not considered in this model. Lacy and Pontius (1983) used hourly data on relative humidity and temperature to calculate the vapour pressure deficit (VPD). The authors measured temperature and VPD data during a three day period and related these values empirically to spore catches to give the SIV-value.…”

Section: Structure Of Botcast and Sivmentioning

confidence: 99%

“…and 7 or more days have elapsed since the preceding spraying, a new spray should be applied within 24 hours. Lacy and Pontius (1983) advised a SIV threshold value of 50, but stated that this value should be adapted to local conditions.…”

Section: Structure Of Botcast and Sivmentioning

confidence: 99%

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Field evaluation of a supervised control system forBotrytis leaf blight in spring sown onions in the Netherlands

Visser¹

1996

Eur J Plant Pathol

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Between 1988 and 1992 two existing weather based advisory models to control leaf blight in onions, were evaluated in the Netherlands. The first model, BOTCAST, can be used to time the initial spray while the second model, SIV, can be used to advise on every subsequent spraying. The evaluation based on field trials showed that application of both BOTCAST and SIV can reduce the number of sprays by 54% compared to a weekly spraying program without any yield loss or a higher disease severity. There was no relation between yield losses of untreated plots and disease severity expressed as lesion counts or leaf dieback. Relative disease growth rate was significantly but not closely related to weather based model characteristics or the observed crop micro-climate using linear regression analysis. The model characteristics did not yield better regressions than the climatological characteristics. Two changes to improve BOTCAST are proposed. Introduction of a supervised control system based on BOTCAST and SIV seems only economically feasible when the system is used as a regional warning system.

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Botrytis Species on Bulb Crops

Lorbeer

Seyb

Boer³

et al. 2007

Botrytis: Biology, Pathology and Control

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Prediction of Weather-Mediated Release of Conidia ofBotrytis squamosafrom Onion Leaves in the Field

Cited by 29 publications

References 0 publications

Analyse de l'incertitude de quatre modèles de phytoprotection relative à l'erreur des mesures des variables agrométéorologiques d'entrée

Analyse de l'incertitude de quatre modèles de phytoprotection relative à l'erreur des mesures des variables agrométéorologiques d'entrée

Field evaluation of a supervised control system forBotrytis leaf blight in spring sown onions in the Netherlands

Botrytis Species on Bulb Crops

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