Assessment of Brown Planthopper, (<i>Nilaparvata lugens</i>) [Stål], damage in rice using hyperspectral remote sensing

Prasannakumar, N. R.; Chander, Subhash; Sahoo, R. N.; Gupta, Vinod Kumar

doi:10.1080/09670874.2013.808780

Cited by 26 publications

(12 citation statements)

References 21 publications

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“…Hyperspectral, multispectral, thermal, and other types of optical sensors are becoming increasingly effective at distinguishing virus-diseased from healthy plants (105-108), establishing virus incidence, and predicting yield losses caused by virus disease (101,109). They can also identify crop foci colonized by insect vectors (110,111). Remote sensing that is ground based or delivered from lightweight unmanned aerial vehicles (UAVs) can give detailed information about the progress of virus disease epidemics and insect vector infestations within single fields (Figure 4), whereas remote sensing from satellites provides information on single farm, entire district, regional, or continental scales.…”

Section: Figurementioning

confidence: 99%

Global Dimensions of Plant Virus Diseases: Current Status and Future Perspectives

2019

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Viral diseases provide a major challenge to twenty-first century agriculture worldwide. Climate change and human population pressures are driving rapid alterations in agricultural practices and cropping systems that favor destructive viral disease outbreaks. Such outbreaks are strikingly apparent in subsistence agriculture in food-insecure regions. Agricultural globalization and international trade are spreading viruses and their vectors to new geographical regions with unexpected consequences for food production and natural ecosystems. Due to the varying epidemiological characteristics of diverent viral pathosystems, there is no one-size-fits-all approach toward mitigating negative viral disease impacts on diverse agroecological production systems. Advances in scientific understanding of virus pathosystems, rapid technological innovation, innovative communication strategies, and global scientific networks provide opportunities to build epidemiologic intelligence of virus threats to crop production and global food security. A paradigm shift toward deploying integrated, smart, and eco-friendly strategies is required to advance virus disease management in diverse agricultural cropping systems.

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Section: Figurementioning

confidence: 99%

Global Dimensions of Plant Virus Diseases: Current Status and Future Perspectives

2019

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“…The more sensitivity of an index to a slight change of damage on crops, the higher the ability to identify pest levels this index has. Many studies have indicated that the spectral reflectance at sensitive bands and their combinational indices from crops were significantly related to pest damages [5,8,23,24,25], but studies on the sensitivity and threshold of spectral index to distinguish the damage level of crops are little. Therefore, remote sensing end-products related to hyperspectral reflectance are still used less in the pest monitoring in field.…”

Section: Discussionmentioning

confidence: 99%

Sensitivity of a Ratio Vegetation Index Derived from Hyperspectral Remote Sensing to the Brown Planthopper Stress on Rice Plants

Tan

Sun

Zhang

et al. 2019

Sensors

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Remote sensing end-products related to vegetation have potential applications in monitoring the health of crops. The sensitivity of a spectral index to crop stress determines its application prospect. Our aim in this study was to explore the sensitivity of a ratio vegetation index (RVI) to identify the damage caused by brown planthoppers (BPHs) on rice plants, and to evaluate the potential application of hyperspectral end-products to monitor population size of BPH. Different numbers of the second-instar nymphs were released onto potted rice at the tillering stage. The plants were exposed to BPH for two, four, six, and eight days, and reflectance from the damaged rice was measured using a hyperspectral spectroradiometer. Measurements were done again two, four, and six days after exposure (recover days), and then the spectral index RVI746/670 was compared among rice plants infested with different numbers of BPH. The relationships between RVI746/670, the number of BPH and exposure day were simulated by linear and curve models. BPH damage resulted in a decreased spectral index RVI746/670 of rice plants. RVI746/670 well indicated the damage of rice plants caused by six–eight BPH nymphs per plant in six–eight days, but the index could not identify the damage of these nymphs in two days. The RVI746/670 showed a two–four-day delay to indicate a slight BPH damage. The spectral index RVI746/670 could indicate the physiologic compensation of plants for the feeding of BPH and the post-effect of BPH damage on rice. The RVI746/670 of rice showed a quadratic curve relation with the number of BPH nymphs and a quadratic or linear relation with the exposure day. The recover day had no significant effects on RVI746/670. The RVI746/670 (Y) could be simulated by a quadratic surface model based on the number of BPH (N) and exposure day (T): Y = 3.09427 + 0.59111T + 0.44296N − 0.03683T2 − 0.03035N2 − 0.08188NT (R2 = 0.5228, p < 0.01). In summary, the spectral index RVI746/670 of rice is sensitive to damage caused by BPH.

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“…28 (October Suppl. Issue) : 2022 feeder that has emerged as the threat to rice crop and that causes significant yield losses in most of the rice cultivars in Asia (Prasannakumar et al, 2013). BPH has the capability of damaging rice crop from vegetative stage to reproductive stage.…”

Section: S368mentioning

confidence: 99%

Antixenosis and antibiosis mechanism of resistance in selected rice entries against brown planthopper, Nilaparvata lugens (Stal)

Sukumar¹,

Kennedy²,

Raveendran³

et al. 2022

EEC

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Six different rice entries along with susceptible and resistant check varieties were evaluated under glasshouseconditions for different parameters of antixenosis and antibiosis resistance against brownplanthopper(BPH, Nilaparvata lugens StÃ¥l). In antixenosis studies, proportion of insects settled on test entries in relationto the susceptible control TN1 was recorded, with average lower proportion of nymphs settled on N22-CCDTM-893 and Ptb 33 in relation to those on TN1. In antibiosis studies adult population, adultlongevity andpopulation build-up were recorded. N22-CC-DTM-893 and Ptb 33 displayed significantly better performanceas compared to other test entries in these parameters studied and did not differ from each other. Theseresults helped in relative quantification of BPH resistance levels in different test entries and N22-CC-DTM-893 show substantial levels of antixenosis and antibiosis effects on BPH and it is considered as new effectivesource of BPH resistance and can be used in resistance breeding after tagging of resistant genes/QTLslinked to brown planthopper resistance with selectable molecular markers.

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Assessment of Brown Planthopper, (Nilaparvata lugens) [Stål], damage in rice using hyperspectral remote sensing

Cited by 26 publications

References 21 publications

Global Dimensions of Plant Virus Diseases: Current Status and Future Perspectives

Global Dimensions of Plant Virus Diseases: Current Status and Future Perspectives

Sensitivity of a Ratio Vegetation Index Derived from Hyperspectral Remote Sensing to the Brown Planthopper Stress on Rice Plants

Antixenosis and antibiosis mechanism of resistance in selected rice entries against brown planthopper, Nilaparvata lugens (Stal)

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