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Prediction model for cabbage stem weevil ceutorhynchus pallidactylus Mrsh. occurrence on winther rape based on an artificial neural network
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SYSNO ASEP 0468575 Druh ASEP J - Článek v odborném periodiku Zařazení RIV J - Článek v odborném periodiku Poddruh J Článek ve WOS Název Prediction model for cabbage stem weevil ceutorhynchus pallidactylus Mrsh. occurrence on winther rape based on an artificial neural network Tvůrce(i) Klem, Karel (UEK-B) RID, ORCID, SAI
Spitzer, T. (CZ)Zdroj.dok. Agricultural and Forest Entomology. - : Wiley - ISSN 1461-9555
Roč. 19, č. 3 (2017), s. 302-308Poč.str. 7 s. Jazyk dok. eng - angličtina Země vyd. GB - Velká Británie Klíč. slova Brassica napus L ; cabbage stem weevil ; Ceutorhynchus pallidactylus ; model ; neural network ; oilseed rape ; weather conditions Vědní obor RIV EG - Zoologie Obor OECD Environmental sciences (social aspects to be 5.7) CEP QJ1530373 GA MZe - Ministerstvo zemědělství Výzkumná infrastruktura CzeCOS II - 90061 - Ústav výzkumu globální změny AV ČR, v. v. i. Institucionální podpora RVO:67179843 - RVO:67179843 UT WOS 000404637500008 EID SCOPUS 85008158205 DOI https://doi.org/10.1111/afe.12209 Anotace Cabbage stem weevil Ceutorhynchus pallidactylus Mrsh. is a important pest of oilseed rape. The impacts of weather conditions and developing a prediction model are key prerequisites for making decisions about chemical plant protection. 2 Based on data from long-term monitoring occurrence of C. pallidactylus (2002–2012), those meteorological parameters with the most significant effects on spring raid intensity were selected and a prediction model based on an artificial neural network was developed. 3 The model was trained using data on the capture of C. pallidactylus between 10 March and 26 April and on weather conditions during January/February and March/April. 4 The winning neural network provides 97% predictive reliability based on mean air temperature for the third March pentad, mean air temperature in the last week of March, mean soil temperature at a depth of 10 cm in the last decade of March, and mean soil temperature at depth of 10 cm for January/February. 5 The occurrence of C. pallidactylus decreased with increasing soil temperature during January/February, in March, the opposite effect was observed. The effect of air temperature on the occurrence of C. pallidactylus uring March has a peak form with a maximum at 3–4 ∘C and 6–7 ∘C in mid-March and at the end of March, respectively. Pracoviště Ústav výzkumu globální změny Kontakt Nikola Šviková, svikova.n@czechglobe.cz, Tel.: 511 192 268 Rok sběru 2018
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