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Mitespotting: approaches for Aculops lycopersici monitoring in tomato cultivation

Abstract

Aculops lycopersici is a major pest in tomato cultivation worldwide, and lately its relevance in German tomato cultivation has increased markedly. Aculops lycopersici causes damage to tomato plants by feeding on the surface of leaves, stem and fruits and can lead to the loss of whole plants. Given the small size of the pest, A. lycopersici infestation may go unnoticed for quite a length of time. When discovered symptoms can be easily confused with those of diseases. In addition to these issues A. lycopersici has a very high reproduction rate. In this study, fluorescence measurements were performed on the stem of A. lycopersici-inoculated potted tomato plants and these were compared with a visual bare eye assessment and a sticky tape imprint method for classification of these plants as either infested or healthy. The best correct classification rate was achieved with sticky tape, but this method is time intensive, which makes it unsuitable for large-scale monitoring in practice. Classification based on a ridge regression performed on stem fluorescence measurements was at least as good as the classification based on the visual assessment, and detection was robust against symptoms of drought stress. In a second trial the specificity of stem fluorescence measurements for A. lycopersici against Trialeurodes vaporariorum was tested successfully. The fluorescence method is promising as this method allows for high automation and thereby has the potential to increase monitoring efficacy in practice considerably. The relevance of the tested monitoring methods for practical tomato cultivation and the next steps to be taken are discussed.

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References

  1. Brodeur J, Bouchard A, Turcotte G (1997) Potential of four species of predatory mites as biological control agents of the tomato russet mite, Aculops lycopersici (Massee) (Eriophyidae). Can Entomol 129:1–6

  2. Brooks ME, Kristensen K, van Benthem KJ et al (2017) glmmTMB balances speed and flexibility among packages for zero-inflated generalized linear mixed modeling. R J 9:378–400

  3. BVL (2019) BVL. https://apps2.bvl.bund.de/psm/jsp/ListeMain.jsp?page=1&ts=1554723975451. Accessed 8 Apr 2019

  4. Canário DVP, Figueiredo E, Franco JC, Guerra R (2017) Detecting early mealybug infestation stages on tomato plants using optical spectroscopy. Eur J Hortic Sci 82:141–148. https://doi.org/10.17660/eJHS.2017/82.3.4

  5. Capinera J (2001) Handbook of vegetable pests. Academic Press, San Diego

  6. Crüger G, Backhaus GF, Hommes M et al (2002) Pflanzenschutz im Gartenbau. Ulmer GmbH & Co, Stuttgart

  7. Duso C, Castagnoli M, Simoni S, Angeli G (2010) The impact of eriophyoids on crops: recent issues on Aculus schlechtendali, Calepitrimerus vitis and Aculops lycopersici Exp Appl Acarol 51:151–168. https://doi.org/10.1007/s10493-009-9300-0

  8. Fox J, Weisberg S (2019) An {{R}} companion to applied regression. Sage Publications, Thousand Oaks

  9. Fracheboud Y, Leipner J (2003) The application of chlorophyll fluorescence to study light, temperature, and drought stress. In: DeEll JR, Toivonen PMA (eds) Practical applications of chlorophyl fluorescence in plant biology. Springer, New York, pp 125–150

  10. Friedman J, Hastie T, Tibshirani R (2010) Regularization paths for generalized linear models via coordinate descent. J Stat Softw 33:1–22

  11. Haque MM, Kawai A (2003) Effect of temperature on development and reproduction of the tomato russet mite, Aculops lycopersici (Massee) (Acari: Eriophyidae). Appl Entomol Zool 38:97–101

  12. Hastie T, Tibshirani R, Friedman J (2009) The elements of statistical learning, 2nd edn. Springer, New York

  13. Kancheva R, Borisova D, Iliev I, Yonova P (2007) Chlorophyll fluorescence as a quantitative measure of plant stress. In: Bochenek Z (ed) New developments and challenges in remote sensing. Millpress, Rotterdam, pp 37–43

  14. Lenth R (2019) emmeans: estimated marginal means, aka least-squares means. R package version 1.4.2

  15. Moerkens R, Vanlommel W, Reybroeck E et al (2018) Binomial sampling plan for tomato russet mite (Aculops lycopersici (Tryon) (Acari: Eriophyidae) in protected tomato crops. J Appl Entomol 142:820–827. https://doi.org/10.1111/jen.12529

  16. Park H-H, Shipp L, Buitenhuis R (2010) Predation, development, and oviposition by the predatory mite Amblyseius swirskii (Acari: Phytoseiidae) on tomato russet mite (Acari: Eriophyidae). J Econ Entomol 103:563–569. https://doi.org/10.1603/EC09161

  17. Park H-H, Shipp L, Buitenhuis R, Ahn JJ (2011) Life history parameters of a commercially available Amblyseius swirskii (Acari: Phytoseiidae) fed on cattail (Typha latifolia) pollen and tomato russet mite (Aculops lycopersici). J Asia Pac Entomol 14:497–501. https://doi.org/10.1016/j.aspen.2011.07.010

  18. Perring TM, Farrar CA (1986) Historical perspective and current world status of the tomato russet mite (Acari: Eriophydae). Entomol Soc Am Misc Publ 63:1–19

  19. Perring TM, Farrar CA, Oldfield GN (1996) Sampling Techniques. In: Lindquist EE, Sabelis MW, Bruin J (eds) Eriophyoid mites: their biology, natural enemies and control. Elsevier, Amsterdam, pp 367–376

  20. R Core Team (2019) R: A language and environment for statistical computing

  21. Royalty RN, Perring TM (1988) Morphological analysis of damage to tomato leaflets by tomato russet mite (Acari: Eriophyidae). J Econ Entomol 81:816–820

  22. Stevens A, Ramirez-Lopez L (2013) An introduction to the prospectr package

  23. Takayama K, Iyoki S, Takahashi N et al (2013) Plant diagnosis by monitoring plant smell: detection of russet mite damages on tomato plants. IFAC Proc 46:68–70

  24. Takayama K, Nishina H, Iyoki S (2016) Plant health diagnostic method and plant health diagnostic device

  25. van Houten YM, Glas JJ, Hoogerbrugge H et al (2013) Herbivory-associated degradation of tomato trichomes and its impact on biological control of Aculops lycopersici Exp Appl Acarol 60:127–138. https://doi.org/10.1007/s10493-012-9638-6

  26. Van Leeuwen T, Witters J, Nauen R et al (2010) The control of eriophyoid mites: state of the art and future challenges. Exp Appl Acarol 51:205–224. https://doi.org/10.1007/978-90-481-9562-6_11

  27. Xie C, Shao Y, Li X, He Y (2015) Detection of early blight and late blight diseases on tomato leaves using hyperspectral imaging. Nat Sci Rep 5:1–11. https://doi.org/10.1038/srep16564

  28. Xie C, Yang C, He Y (2017) Hyperspectral imaging for classification of healthy and gray mold diseased tomato leaves with different infection severities. Comput Electron Agric 135:154–162. https://doi.org/10.1016/j.compag.2016.12.015

  29. Ximénez-Embún MG, Glas JJ, Ortego F et al (2017) Drought stress promotes the colonization success of a herbivorous mite that manipulates plant defenses. Exp Appl Acarol 73:297–315. https://doi.org/10.1007/s10493-017-0200-4

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Acknowledgements

We thank Tina Drechsler, Kerstin Könnecke, Kathrin Burlak, Dörte Achilles, Elke Jeworutzki, Oliver Lischtschenko and Rowan Titchener for their help.

Funding

This work was financially supported by the German Federal Ministry of Food and Agriculture (BMEL) through the Federal Office for Agriculture and Food (BLE), Grant Number 2816ERA01L.

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Correspondence to Alexander Pfaff.

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Pfaff, A., Gabriel, D. & Böckmann, E. Mitespotting: approaches for Aculops lycopersici monitoring in tomato cultivation. Exp Appl Acarol 80, 1–15 (2020) doi:10.1007/s10493-019-00448-3

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Keywords

  • Aculops lycopersici
  • Tomato russet mite
  • Detection
  • Fluorescence
  • Spectroscopy
  • Monitoring