Computer Simulation Raises Question About Timing Protectant Fungicide Application Frequency According to a Potato Late Blight Forecast

Fohner, G.R.; Fry, William E.; White, Gerald B.

doi:10.1094/phyto-74-1145

Cited by 23 publications

(9 citation statements)

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“…However, calendar-based scheduling strategies have drawbacks (Vorotnikova et al, 2014). First, if weather conditions are unfavorable for disease development, unnecessary applications are at best inefficient, wasting both chemicals and labor and entailing extra costs (Fohner et al, 1984;Fry, 1982). Second, the repeated use of certain fungicides can lead to the emergence of late blight strains that are resistant to these fungicides (Deahl et al, 1991, Deahl et al, 1993, Fry et al, 1979, Goodwin et al, 1996.…”

Section: Methodsmentioning

confidence: 99%

“…It is a good example of how precision farming technology transforms weather data into accessible information to help farmers make decisions. The efficacy of disease forecasting systems, such as Blitecast, for late blight disease management has been an important topic of previous plant pathology research (Fohner et al, 1984;Fry et al, 1983;Small et al, 2015b). Fohner et al (1984) found that fungicide scheduling according to Blitecast did not suppress diseases any more effectively than the application of a calendar-based strategy.…”

Section: Risk Management Strategies Using Precision Agriculturementioning

confidence: 99%

“…The efficacy of disease forecasting systems, such as Blitecast, for late blight disease management has been an important topic of previous plant pathology research (Fohner et al, 1984;Fry et al, 1983;Small et al, 2015b). Fohner et al (1984) found that fungicide scheduling according to Blitecast did not suppress diseases any more effectively than the application of a calendar-based strategy. Subsequently, Blitecast has been integrated with other forecasting systems and technologies into the BlightPro DSS (Small et al, 2015a).…”

Section: Risk Management Strategies Using Precision Agriculturementioning

confidence: 99%

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Risk Management Strategies using Precision Agriculture Technology to Manage Potato Late Blight

et al. 2017

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Precision agriculture has emerged as a revolutionary technology, which transforms farming related data into useful information for agricultural decision-making. Th is paper compares precision farming technology with calendar-based approach in scheduling fungicide applications to manage potato (Solanum tuberosum L.) late blight disease. Th ree fungicide scheduling strategies were evaluated: calendar-based strategy, BlightPro decision support system based strategy (DSS-based strategy), and unsprayed control. Using results from 14 yr of computer simulation experiments for 59 locations in the United States, we constructed distributions of net return to all costs excluding fungicide cost and application cost per 0.41 ha (net return per 0.41 ha) for the calendar-based and DSS-based strategies at each location. Th ese distributions were then compared using three risk management methods: stochastic dominance, stochastic dominance with respect to a function, and stochastic effi ciency with respect to a function. Th e DSS-based strategy was identifi ed as the most eff ective approach to manage late blight in terms of disease suppression, net return per 0.41 ha, and risk-adjusted net return. Results indicate that the DSS-based strategy is the preferred method to schedule fungicide applications. Under high disease pressure circumstances, the economic benefi ts to potato growers of adopting the precision agriculture technology ranged from US$30 to $573 per 0.41 ha. For risk neutral individuals, who are concerned about the diff erence between average net return per 0.41 ha, the benefi ts ranged from $30 to $305 per 0.41 ha. Except for growers raising the moderately resistant potato cultivars, more risk averse individuals tended to benefi t more from adopting the precision agriculture technology, with benefi ts ranging from $38 to $573 per 0.41 ha. Abbreviations: AUDPC, area under disease progress curve; CE, certainty equivalent; DSS, decision support system; FSD, fi rst-degree stochastic dominance; RP, risk premium; net return per 0.41 ha, net return to all costs excluding fungicide cost and application cost per 0.41 ha; SERF, stochastic effi ciency with respect to a function; SSD, second-degree stochastic dominance; SDRF, stochastic dominance with respect to a function. Core ideas• Th e benefi ts of adopting precision farming technology was investivated in scheduling fungicide applications to manage potato late blight.• Th e precision farming technology is the preferred method to schedule fungicide applications in terms of disease suppression, net return per 0.41 ha, and risk-adjusted net return.• Th e increased adoption of the precision farming technology would help manage late blight, limit potential crop losses, and improve net returns.

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Section: Methodsmentioning

confidence: 99%

Section: Risk Management Strategies Using Precision Agriculturementioning

confidence: 99%

Section: Risk Management Strategies Using Precision Agriculturementioning

confidence: 99%

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Risk Management Strategies using Precision Agriculture Technology to Manage Potato Late Blight

et al. 2017

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“…High humidity and temperatures between 12 and 20°C (Fohner et al 1984) favor disease development. When the temperature is over 30°C disease development is slow or even stopped.…”

Section: Introductionmentioning

confidence: 99%

The field resistance of potato cultivars to foliar late blight and its relationship with foliage maturity type and skin type in Brazil

Duarte

Zambolim

Mizubuti

et al. 2011

Australasian Plant Pathol.

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The use of resistant cultivars is the preferred control method for plant diseases. This approach is attractive owing to its high efficacy, low cost, and ease of implementation. This work aimed to assess the resistance of potato cultivars to foliar late blight (Phytophthora infestans) under different environmental conditions. It further aimed to assess the relationships between resistance to foliar late blight and foliage maturity type and between resistance to foliar late blight and the skin type of the potato. Three experiments were performed in two different regions of the state of Minas Gerais with different environmental conditions. The first and second experiments used 34 cultivars (treatments). The third experiment used 17 cultivars. The severity of foliar late blight in each plot was quantified every 2 days using a descriptive scale. The values of the epidemiological variables were then calculated. The proposed levels of resistance to foliar late blight were defined as: resistant (R), moderately resistant (MR), moderately susceptible (MS) and susceptible (S). The majority of potato cultivars were susceptible to foliar late blight. The resistance levels of some cultivars to foliar late blight used in these experiments changed according to the pathogen population and environmental conditions. The cultivars with the highest levels of resistance to foliar late blight (resistant and moderately resistant) were later maturity. Most cultivars that have been classified as moderately susceptible or susceptible were earlier maturity. In general, cultivars that are more resistant to foliar late blight had a rougher skin, whereas the skins of the more susceptible cultivars had smoother.

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“…A requeima ocorre em praticamente todos os locais onde o tomate é cultivado, sendo mais severa em períodos frios e úmidos. Essa doença é favorecida por alta umidade relativa (neblina, chuva fina, orvalho e ou irrigação freqüente) e temperatura variando de 12 a 20 o C (Fohner et al, 1984). A requeima também pode ocorrer em regiões de clima quente, desde que as noites sejam frias.…”

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Controle da requeima em tomateiro industrial com fungicidas e silicato de potássio

2007

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O objetivo deste trabalho foi avaliar o efeito da aplicação de fungicidas e silicato de potássio, no controle da requeima (Phytophthora infestans), em tomateiro industrial. Os fungicidas foram aplicados com base no sistema de previsão de Wallin e calendário fixo de pulverizações. Empregou-se o delineamento em blocos casualizados com 6 tratamentos e 4 repetições. Os tratamentos (T) foram: T1 - testemunha; T2 - dimetomorfe + clorotalonil (valores de severidade da doença (VSD = 10) + metiram; T3 - metalaxil-M + clorotalonil (VSD = 10) + metiram (o metiram foi aplicado somente na semana onde o VSD não atingiu o valor requerido para o tratamento); T4 - calendário fixo: dimetomorfe + clorotalonil, mancozeb, metalaxil-M + clorotalonil e clorotalonil, alternados semanalmente; T5 - silicato de potássio (5 g/L) e T6 - silicato de potássio (15 g/L). A severidade foi avaliada utilizando-se uma escala descritiva variando de 0 a 100 %. A severidade final foi: 100; 2,6; 12,3; 5,5; 97,6 e 96 %, respectivamente, nos tratamentos T1, T2, T3, T4, T5 e T6. A severidade foi em média, 93 % menor nos tratamentos que receberam aplicações de fungicidas em relação a testemunha. Dentre os tratamentos que empregaram sistema de previsão o 2 apresentou melhor resultado do que o 3. O tratamento 2 apresentou eficiência comparável ao calendário semanal (tratamento 4), apresentando produtividades de 62.103,73 e 52.473,33 kg/ha, respectivamente, sendo superiores aos demais tratamentos. Aplicações de silicato de potássio nas duas doses testadas não diferiram significativamente da testemunha, indicando a ineficiência do produto em controlar a requeima.

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Computer Simulation Raises Question About Timing Protectant Fungicide Application Frequency According to a Potato Late Blight Forecast

Cited by 23 publications

References 0 publications

Risk Management Strategies using Precision Agriculture Technology to Manage Potato Late Blight

Risk Management Strategies using Precision Agriculture Technology to Manage Potato Late Blight

The field resistance of potato cultivars to foliar late blight and its relationship with foliage maturity type and skin type in Brazil

Controle da requeima em tomateiro industrial com fungicidas e silicato de potássio

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