Common Leafhopper-Planthopper Populations and Incidence of Tungro Virus in Diazinon-Treated and Untreated Rice Plots1

Bae, Sang Hee; Pathak, M. D.

doi:10.1093/jee/62.4.772

Cited by 7 publications

(2 citation statements)

References 3 publications

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“…Alam [11] found that crop age has a highly significant effect on populations. In addition, BPH tends to be more numerous after 60 days' post-transplantation when crops are close to maturity, as well as between the heading and harvesting stages during dry seasons [12,13]. Otuka et al [14] found that BPH is a monophagous insect whose occurrence depends on host rice plants.…”

Section: Introductionmentioning

confidence: 99%

Predicting Rice Pest Population Occurrence with Satellite-Derived Crop Phenology, Ground Meteorological Observation, and Machine Learning: A Case Study for the Central Plain of Thailand

et al. 2019

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The brown planthopper Nilaparvata lugens (BPH) is one of the most harmful insect pests in rice paddy fields, which causes considerable yield loss and consequent economic problems, particularly in the central plain of Thailand. Accurate and timely forecasting of pest population incidence would support farmers in planning effective mitigation. In this study, artificial neural network (ANN), random forest (RF) and classic linear multiple regression (MLR) analyses were applied and compared to forecast the BPH population using weather and host-plant phenology factors during the crop dry season from 2006 to 2016 in the central plain of Thailand. Data from satellite earth observation was used to monitor crop phenology factors affecting BPH population density. An ANN model with integrated ground-based meteorological variables and satellite-derived host plant variables was more accurate for short-term forecasting of the peak abundance of BPH when compared with RF and MLR, according to a reasonably validating dataset (RMSE of natural log-transformed (ln) BPH light trap catches = 1.686, 1.737, and 2.015, respectively). This finding indicates that the utilization of ground meteorological observations, satellite-derived NDVI time series, and ANN have the potential to predict BPH population density in support of integrated pest management programs. We expect the results from this study can be applied in conjunction with the satellite-based rice monitoring system developed by the Geo-Informatic and Space Technology Development Agency of Thailand (GISTDA; http://rice.gistda.or.th) to support an effective pest early warning system.

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Section: Introductionmentioning

confidence: 99%

Predicting Rice Pest Population Occurrence with Satellite-Derived Crop Phenology, Ground Meteorological Observation, and Machine Learning: A Case Study for the Central Plain of Thailand

et al. 2019

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“…The other insecticides which have been reported to be effective against the tungro vector are phorate (Pathak ef a/., 1967), diazinon (Bae and Pathak, 1969), carbofuran (Rao and Anjaneyulu, 1979;Shukla and Anjaneyulu, 1980;Satapathy and Anjaneyulu, 1986), and FMC 35001, phosphomidon, oxydemeton-methyl and bendiocarb (Satapathy and Anjaneyulu, 1983).…”

Section: Field Evaluationmentioning

confidence: 99%

Evaluation of synthetic pyrethroid insecticides for tungro management

Anjaneyulu

Bhaktavatsalam

1987

Tropical Pest Management

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The five synthetic pyrethroids cypermethrin-1, cypermethrin-2, deltamethrin, fenvalerate and FMC 54800, were evaluated under greenhouse and field conditions to determine their efficacy in preventing tungro infection and in reducing the incidence of tungro disease. Cypermethrin (1 and 2) and deltamethrin killed the vector, Nephotettix virescens, within 7 minutes and prevented tungro infection under greenhouse conditions; the performance of these insecticides was also better under field conditions. Grain yields were higher in plots treated with these insecticides than in the control plot, or in plots treated with other insecticides, in the cultivar Taichung Native 1. In the cultivar Ratna, these insecticides, plus fenvalerate and carbofuran (check insecticide), had an equivalent effect. The vector population in the plots treated with cypermethrin (1 and 2) and deltamethrin was eliminated. There was a negative correlation between the rate of tungro infection and grain yield, and a positive correlation between vector population and disease incidence.

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Control of Leafhopper and Planthopper Vectors of Rice Viruses

Heinrichs

1979

Leafhopper Vectors and Plant Disease Agents

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Common Leafhopper-Planthopper Populations and Incidence of Tungro Virus in Diazinon-Treated and Untreated Rice Plots1

Abstract: Field experiments during 2 consecutive rice crops showed the relative abundance of common rice leafhopper and planthopper species as Nephotettix spp. > Sogatella furcifera (Horvath) > Nilaparvata lugens (Stil) > lnawl11a dorsalis (Motschulsky). The Nephotettix spp.

Cited by 7 publications

References 3 publications

Predicting Rice Pest Population Occurrence with Satellite-Derived Crop Phenology, Ground Meteorological Observation, and Machine Learning: A Case Study for the Central Plain of Thailand

Predicting Rice Pest Population Occurrence with Satellite-Derived Crop Phenology, Ground Meteorological Observation, and Machine Learning: A Case Study for the Central Plain of Thailand

Evaluation of synthetic pyrethroid insecticides for tungro management

Control of Leafhopper and Planthopper Vectors of Rice Viruses

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