Prediction model for deoxynivalenol in wheat grain based on weather conditions
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F25328859%3A_____%2F09%3A%230000439" target="_blank" >RIV/25328859:_____/09:#0000439 - isvavai.cz</a>
Result on the web
—
DOI - Digital Object Identifier
—
Alternative languages
Result language
angličtina
Original language name
Prediction model for deoxynivalenol in wheat grain based on weather conditions
Original language description
Environmental factors influence the growth, survival, dissemination and hence the incidence of Fusarium fungi and the disease severity. The objective of this study was to design a model for prediction of deoxynivalenol content in winter wheat grain basedon weather conditions, preceding crop and soil cultivation. The grain samples from winter wheat field experiments conducted in 2002-2005 were analyzed for the DON content. Highest positive correlation coefficients were found for sum of precipitation inApril, average temperature in April, and sum of precipitation 5 days prior to anthesis. Significant negative correlation was found for average temperature in May and average relative humidity 5 days prior to anthesis. The most appropriate neural networkmodel was then coupled with AgriClim model to simulate spatial and temporal variation of DON content in wheat samples for south Moravia and north-east Austria area.
Czech name
—
Czech description
—
Classification
Type
J<sub>x</sub> - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)
CEP classification
GF - Diseases, pests, weeds and plant protection
OECD FORD branch
—
Result continuities
Project
Result was created during the realization of more than one project. More information in the Projects tab.
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2009
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Plant Protection Science
ISSN
1212-2580
e-ISSN
—
Volume of the periodical
45
Issue of the periodical within the volume
September
Country of publishing house
CZ - CZECH REPUBLIC
Number of pages
5
Pages from-to
—
UT code for WoS article
—
EID of the result in the Scopus database
—