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A model-based integrated approach to support the control of barley yellow dwarf virus in Flanders

(2023)
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Abstract
Aphids are one of the main threats to good yields in agriculture. In small grain cereals they play an important role as vectors of barley yellow dwarf virus (BYDV). This virus affects the phloem of the plant, causing the plant to turn yellow or red and show dwarfism, resulting in reduced yields. The problems with BYDV in Flanders are expected to increase in the coming years. Neonicotinoid insecticides that used to efficiently protect young plants against aphids, are now banned within the European Union. The widely used alternative, a field spraying with pyrethroid insecticides, is also under regulatory pressure and resistances against this active ingredient have already been identified in neighbouring countries. Finally, climate change, causing rising temperatures throughout the year and milder winters, accelerates population growth and reduces winter mortality in aphids. A model-based integrated approach to control cereal aphids could help to better control BYDV and reduce the use of pyrethroids, thus reducing the likelihood of resistant cereal aphids. This thesis first mapped cereal aphid and BYDV populations in maize and small grain cereals in Flanders, identified spatio-temporal influences on their population dynamics and tested cereal aphid populations on the presence of pyrethroid resistance. A resistant population was found as well as an aphid species not yet recorded in Flanders, Rhopalosiphum maidis. A prediction model was developed to predict whether a field has a high probability of being severely infested with aphids before the small grain cereals are sown and another model was developed to predict the current aphid infestation severity in a small grain cereal field that is already sown. These models will enable farmers to take thoughtful measures against cereal aphids in order to reduce the risk of BYDV.
Keywords
BYDV, Cereal aphid, machine learning, spatio-temporal analysis

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Citation

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MLA
Van den Eynde, Renik. A Model-Based Integrated Approach to Support the Control of Barley Yellow Dwarf Virus in Flanders. Ghent University. Faculty of Bioscience Engineering, 2023.
APA
Van den Eynde, R. (2023). A model-based integrated approach to support the control of barley yellow dwarf virus in Flanders. Ghent University. Faculty of Bioscience Engineering, Ghent, Belgium.
Chicago author-date
Van den Eynde, Renik. 2023. “A Model-Based Integrated Approach to Support the Control of Barley Yellow Dwarf Virus in Flanders.” Ghent, Belgium: Ghent University. Faculty of Bioscience Engineering.
Chicago author-date (all authors)
Van den Eynde, Renik. 2023. “A Model-Based Integrated Approach to Support the Control of Barley Yellow Dwarf Virus in Flanders.” Ghent, Belgium: Ghent University. Faculty of Bioscience Engineering.
Vancouver
1.
Van den Eynde R. A model-based integrated approach to support the control of barley yellow dwarf virus in Flanders. [Ghent, Belgium]: Ghent University. Faculty of Bioscience Engineering; 2023.
IEEE
[1]
R. Van den Eynde, “A model-based integrated approach to support the control of barley yellow dwarf virus in Flanders,” Ghent University. Faculty of Bioscience Engineering, Ghent, Belgium, 2023.
@phdthesis{01GV43FE4W601QEWB08P2WGZHJ,
  abstract     = {{Aphids are one of the main threats to good yields in agriculture. In small grain cereals they play an
important role as vectors of barley yellow dwarf virus (BYDV). This virus affects the phloem of the
plant, causing the plant to turn yellow or red and show dwarfism, resulting in reduced yields. The
problems with BYDV in Flanders are expected to increase in the coming years. Neonicotinoid
insecticides that used to efficiently protect young plants against aphids, are now banned within the
European Union. The widely used alternative, a field spraying with pyrethroid insecticides, is also
under regulatory pressure and resistances against this active ingredient have already been
identified in neighbouring countries. Finally, climate change, causing rising temperatures
throughout the year and milder winters, accelerates population growth and reduces winter
mortality in aphids. A model-based integrated approach to control cereal aphids could help to
better control BYDV and reduce the use of pyrethroids, thus reducing the likelihood of resistant
cereal aphids.
This thesis first mapped cereal aphid and BYDV populations in maize and small grain cereals in
Flanders, identified spatio-temporal influences on their population dynamics and tested cereal
aphid populations on the presence of pyrethroid resistance. A resistant population was found as
well as an aphid species not yet recorded in Flanders, Rhopalosiphum maidis. A prediction model
was developed to predict whether a field has a high probability of being severely infested with
aphids before the small grain cereals are sown and another model was developed to predict the
current aphid infestation severity in a small grain cereal field that is already sown. These models
will enable farmers to take thoughtful measures against cereal aphids in order to reduce the risk of
BYDV.}},
  author       = {{Van den Eynde, Renik}},
  isbn         = {{9789463576017}},
  keywords     = {{BYDV,Cereal aphid,machine learning,spatio-temporal analysis}},
  language     = {{eng}},
  pages        = {{XXIV, 190}},
  publisher    = {{Ghent University. Faculty of Bioscience Engineering}},
  school       = {{Ghent University}},
  title        = {{A model-based integrated approach to support the control of barley yellow dwarf virus in Flanders}},
  year         = {{2023}},
}