Improving phenological forecasting models for rape stem weevil, Ceutorhynchus napi Gyll., based on long-term multisite datasets.

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Title: Improving phenological forecasting models for rape stem weevil, Ceutorhynchus napi Gyll., based on long-term multisite datasets.
Authors: Eickermann, M.1, Ulber, B.2, Hoffmann, L.1, Junk, J.1
Source: Journal of Applied Entomology. Dec2014, Vol. 138 Issue 10, p754-762. 9p.
Database: Environment Complete
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DbLabel: Environment Complete
An: 99853128
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PubType: Academic Journal
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  Data: Improving phenological forecasting models for rape stem weevil, Ceutorhynchus napi Gyll., based on long-term multisite datasets.
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PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=eih&AN=99853128
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        Value: 10.1111/jen.12129
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      – Code: eng
        Text: English
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        PageCount: 9
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      – TitleFull: Improving phenological forecasting models for rape stem weevil, Ceutorhynchus napi Gyll., based on long-term multisite datasets.
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            NameFull: Eickermann, M.
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            NameFull: Ulber, B.
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            NameFull: Hoffmann, L.
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              Text: Dec2014
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