Weather-Based Forecasting of Rhizoctonia Web Blight Development on Container-Grown Azalea

The most reliable approach for timing fungicides to control Rhizoctonia web blight on container-grown azalea has been a fixed calendar date. The purpose of this study was to model periods when a preventive control could be applied in advance of significant increases in leaf blight intensity (LBI) in...

Ausführliche Beschreibung

Bibliographische Detailangaben
Veröffentlicht in:Plant disease. - 1997. - 99(2015), 1 vom: 31. Jan., Seite 100-105
1. Verfasser: Copes, Warren E (VerfasserIn)
Format: Online-Aufsatz
Sprache:English
Veröffentlicht: 2015
Zugriff auf das übergeordnete Werk:Plant disease
Schlagworte:Journal Article
LEADER 01000caa a22002652c 4500
001 NLM293267065
003 DE-627
005 20250224182236.0
007 cr uuu---uuuuu
008 231225s2015 xx |||||o 00| ||eng c
024 7 |a 10.1094/PDIS-01-14-0033-RE  |2 doi 
028 5 2 |a pubmed25n0977.xml 
035 |a (DE-627)NLM293267065 
035 |a (NLM)30699743 
040 |a DE-627  |b ger  |c DE-627  |e rakwb 
041 |a eng 
100 1 |a Copes, Warren E  |e verfasserin  |4 aut 
245 1 0 |a Weather-Based Forecasting of Rhizoctonia Web Blight Development on Container-Grown Azalea 
264 1 |c 2015 
336 |a Text  |b txt  |2 rdacontent 
337 |a ƒaComputermedien  |b c  |2 rdamedia 
338 |a ƒa Online-Ressource  |b cr  |2 rdacarrier 
500 |a Date Revised 20.11.2019 
500 |a published: Print 
500 |a Citation Status PubMed-not-MEDLINE 
520 |a The most reliable approach for timing fungicides to control Rhizoctonia web blight on container-grown azalea has been a fixed calendar date. The purpose of this study was to model periods when a preventive control could be applied in advance of significant increases in leaf blight intensity (LBI) in response to a daily accumulated risk value indicating conducive conditions of temperature (18 or more hours between 20 and 30°C when maximum temperature is less than 35°C), leaf wetness (16 or more hours), and/or rainfall (greater than 6.7 mm above the maximum daily irrigation). Analysis used weather measurements taken every 30 minutes from 11 site-year datasets from 2006 to 2011, and weekly or biweekly LBI assessments. Six developmental site-year datasets were analyzed using receiver operating characteristic (ROC) curve procedures to evaluate models. Only a single model predicted true positives and negatives significantly greater than a 50:50 probability. Subsequently, five site-year validation datasets were evaluated. Similar results were obtained from both the developmental and validation datasets, which produced ROC areas of 0.7715 (P = 0.0120) and 0.8393 (P = 0.0034), respectively. The practical application of weather-based forecasting for management of web blight in nurseries is discussed 
650 4 |a Journal Article 
773 0 8 |i Enthalten in  |t Plant disease  |d 1997  |g 99(2015), 1 vom: 31. Jan., Seite 100-105  |w (DE-627)NLM098181742  |x 0191-2917  |7 nnas 
773 1 8 |g volume:99  |g year:2015  |g number:1  |g day:31  |g month:01  |g pages:100-105 
856 4 0 |u http://dx.doi.org/10.1094/PDIS-01-14-0033-RE  |3 Volltext 
912 |a GBV_USEFLAG_A 
912 |a SYSFLAG_A 
912 |a GBV_NLM 
912 |a GBV_ILN_350 
951 |a AR 
952 |d 99  |j 2015  |e 1  |b 31  |c 01  |h 100-105