Control of the spread of tulip breaking virus in tulips with mineral-oil sprays

Asjes, C.J.

doi:10.1007/bf02650332

Cited by 11 publications

(2 citation statements)

References 9 publications

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“…If oils, such as paraffin (Bradley, 1963) or the mineral oil, albolineum (Asjes, 1974(Asjes, , 1975, are sprayed on to the leaf surfaces of plants, aphid transmission of viruses may be prevented. Oil sprays have been effective in controlling the spread of a number of non-persistently transmitted viruses (Loebenstein et at., 1970;Mowat and Woodford, 1976;Vanderveken, 1977), but their effect against persistent viruses has been variable.…”

Section: Oil-spraysmentioning

confidence: 99%

Applied Plant Virology

Walkey¹

1991

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Section: Oil-spraysmentioning

confidence: 99%

Applied Plant Virology

Walkey¹

1991

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“…Current methods to keep the disease under control are twofold. Firstly, plants are sprayed with chemicals to control aphids, which spread the virus (Asjes 1975;Asjes and Blom-Barnhoorn 2001). Secondly, crop experts go through the field and remove plants with visual symptoms.…”

Section: Introductionmentioning

confidence: 99%

Detection of the tulip breaking virus (TBV) in tulips using optical sensors

Polder

Heijden

Doorn³

et al. 2010

Precision Agric

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The tulip breaking virus (TBV) causes severe economic losses for countries that export tulips such as the Netherlands. Infected plants have to be removed from the field as soon as possible. There is an urgent need for a rapid and objective method of screening. In this study, four proximal optical sensing techniques for the detection of TBV in tulip plants were evaluated and compared with a visual assessment by crop experts as well as with an ELISA (enzyme immunoassay) analysis of the same plants. The optical sensor techniques used were an RGB color camera, a spectrophotometer measuring from 350 to 2500 nm, a spectral imaging camera covering a spectral range from 400 to 900 nm and a chlorophyll fluorescence imaging system that measures the photosynthetic activity. Linear discriminant classification was used to compare the results of these optical techniques and the visual assessment with the ELISA score. The spectral imaging system was the best optical technique and its error was only slightly larger than the visual assessment error. The experimental results appear to be promising, and they have led to further research to develop an autonomous robot for the detection and removal of diseased tulip plants in the open field. The application of this robot system will reduce the amount of insecticides and the considerable pressure on labor for selecting diseased plants by the crop expert.

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