Assessment of Peanut Leaf Spot Disease Control Guidelines Using Climatological Data

Linvill, D. E.; Drye, C. E.

doi:10.1094/pd-79-0876

Cited by 6 publications

(6 citation statements)

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“…One of the reasons that fungicides are not used in developing countries is their high cost. Until recently, 8 to 10 fungicide applications were used in some countries to achieve high yields (13). Knowing the economics of fungicide application and the negative impact of fungicides on the environment, many scientists have tried to find ways to reduce fungicide use.…”

Section: Discussionmentioning

confidence: 99%

“…Knowing the economics of fungicide application and the negative impact of fungicides on the environment, many scientists have tried to find ways to reduce fungicide use. Several methods have been used to time fungicide applications; e.g., increasing the interval between sprays by a fixed number of days (every 15 or 21 days), fungicide application according to plant development stage, and use of advisory systems (2,(4)(5)(6)9,13,17,20,23).…”

Section: Discussionmentioning

confidence: 99%

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Rational Use of Fungicide Applications to Maximize Peanut Yield Under Foliar Disease Pressure in West Africa

2000

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Waliyar, F., Adamou, M., and Traoré, A. 2000. Rational use of fungicide applications to maximize peanut yield under foliar disease pressure in West Africa. Plant Dis. 84:1203-1211.Foliar diseases caused by Cercospora arachidicola, Cercosporium personatum, and Puccinia arachidis are major constraints to peanut production in the world. Fungicides are among the most efficient available control methods. Field trials were conducted in 1991 and 1992 in Benin and Niger, West Africa, to evaluate the cost effectiveness of fungicide application timings and frequencies on four peanut cultivars. A combination of four timings (40, 55, 70, and 85 days after sowing) was scheduled. Early (causal organism, C. arachidicola) and late (caused by C. personatum) leaf spot were prevalent in both years, but late leaf spot was the more economically important disease as shown by high values of area under the disease progress curve. Application of fungicide reduced late leaf spot incidence and increased pod yield. Pod yield responded to an interaction of number and timing of fungicide applications. With appropriate timing two or three fungicide applications were enough to significantly increase pod yield. Properly timed fungicide sprays can result in substantial monetary gains for peanut farmers in West Africa.

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Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Rational Use of Fungicide Applications to Maximize Peanut Yield Under Foliar Disease Pressure in West Africa

2000

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“…In some studies, individual computer programs have been developed based on various weather parameters to make predictions, while others studies have incorporated computer programs into commercial advisory equipment (Cu and Phipps, 1993;Grichar et al, 2005;Boyle, 1965, 1966;Linvill and Drye, 1995;Parvin et al, 1974;Shew et al, 1988;Wu et al, 1999).…”

Section: Weather Factors and Derived Variablesmentioning

confidence: 99%

“…For early leaf spot, weather information is crucial for developing prediction models (Cu and Phipps, 1993;Linvill and Drye, 1995), especially for monitoring favourable conditions for disease development on host crops during the growing season. Jewell (1987) identified a strong correlation between early leaf spot incidence and cumulative hours of relative humidity (RH ≥ 95).…”

Section: Case Study 1: Wrf Model and Early Leaf Spot In Peanutmentioning

confidence: 99%

Weather-based Pest Forecasting for Efficient Crop Protection

Olatinwo

Hoogenboom

2014

Integrated Pest Management

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“…Weather information is crucial in developing prediction models for managing leaf spot (Cu and Phipps 1993;Linvill and Drye 1995), especially for monitoring favorable conditions for disease development on host crops during the growing season. Use of weather information in most models is typically obtained from several sources, including the National Weather Service or observational weather networks such as the Automated Environmental Monitoring Network (AEMN; www.georgiaweather.net), which is the largest automated weather station network in the southeastern USA (Hoogenboom 2000(Hoogenboom , 2001Hoogenboom et al 2003).…”

Section: Introductionmentioning

confidence: 99%

Predicting favorable conditions for early leaf spot of peanut using output from the Weather Research and Forecasting (WRF) model

et al. 2011

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Early leaf spot of peanut (Arachis hypogaea L.), a disease caused by Cercospora arachidicola S. Hori, is responsible for an annual crop loss of several million dollars in the southeastern United States alone. The development of early leaf spot on peanut and subsequent spread of the spores of C. arachidicola relies on favorable weather conditions. Accurate spatio-temporal weather information is crucial for monitoring the progression of favorable conditions and determining the potential threat of the disease. Therefore, the development of a prediction model for mitigating the risk of early leaf spot in peanut production is important. The specific objective of this study was to demonstrate the application of the high-resolution Weather Research and Forecasting (WRF) model for management of early leaf spot in peanut. We coupled high-resolution weather output of the WRF, i.e. relative humidity and temperature, with the Oklahoma peanut leaf spot advisory model in predicting favorable conditions for early leaf spot infection over Georgia in 2007. Results showed a more favorable infection condition in the southeastern coastline of Georgia where the infection threshold were met sooner compared to the southwestern and central part of Georgia where the disease risk was lower. A newly introduced infection threat index indicates that the leaf spot threat threshold was met sooner at Alma, GA, compared to Tifton and Cordele, GA. The short-term prediction of weather parameters and their use in the management of peanut diseases is a viable and promising technique, which could help growers make accurate management decisions, and lower disease impact through optimum timing of fungicide applications.

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Assessment of Peanut Leaf Spot Disease Control Guidelines Using Climatological Data

Cited by 6 publications

References 0 publications

Rational Use of Fungicide Applications to Maximize Peanut Yield Under Foliar Disease Pressure in West Africa

Rational Use of Fungicide Applications to Maximize Peanut Yield Under Foliar Disease Pressure in West Africa

Weather-based Pest Forecasting for Efficient Crop Protection

Predicting favorable conditions for early leaf spot of peanut using output from the Weather Research and Forecasting (WRF) model

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