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Timing matters: remotely sensed vegetation greenness can predict insect vector migration and therefore outbreaks of curly top disease.

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Title: Timing matters: remotely sensed vegetation greenness can predict insect vector migration and therefore outbreaks of curly top disease.
Authors: Lee, Hyoseok1,2 (AUTHOR) hyslee@ucdavis.edu, Wintermantel, William M.3 (AUTHOR), Trumble, John T.4 (AUTHOR), Nansen, Christian1 (AUTHOR)
Source: Journal of Pest Science. Jan2025, Vol. 98 Issue 1, p607-617. 11p.
Database: Academic Search Ultimate
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An: 183852555
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  Data: Timing matters: remotely sensed vegetation greenness can predict insect vector migration and therefore outbreaks of curly top disease.
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  Data: <searchLink fieldCode="JN" term="%22Journal+of+Pest+Science%22">Journal of Pest Science</searchLink>. Jan2025, Vol. 98 Issue 1, p607-617. 11p.
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=asn&AN=183852555
RecordInfo BibRecord:
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    Identifiers:
      – Type: doi
        Value: 10.1007/s10340-024-01771-4
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      – Code: eng
        Text: English
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        PageCount: 11
        StartPage: 607
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      – TitleFull: Timing matters: remotely sensed vegetation greenness can predict insect vector migration and therefore outbreaks of curly top disease.
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            NameFull: Lee, Hyoseok
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            NameFull: Wintermantel, William M.
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            NameFull: Trumble, John T.
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            – D: 01
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              Text: Jan2025
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              Y: 2025
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              Value: 98
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