Modeling the Effects of Cloudy Weather on Regional Epidemics of Soybean Rust

This study simulated daily development of soybean rust (SBR), caused by Phakopsora pachyrhizi, based on cloud cover conditions. Results from a previous study that determined the relationship between shading and apparent infection rates were applied in this study to simulate SBR progress on a regiona...

Ausführliche Beschreibung

Bibliographische Detailangaben
Veröffentlicht in:Plant disease. - 1997. - 98(2014), 6 vom: 01. Juni, Seite 811-816
1. Verfasser: Dias, A P S (VerfasserIn)
Weitere Verfasser: Li, X, Yang, X B
Format: Online-Aufsatz
Sprache:English
Veröffentlicht: 2014
Zugriff auf das übergeordnete Werk:Plant disease
Schlagworte:Journal Article
LEADER 01000naa a22002652 4500
001 NLM293354618
003 DE-627
005 20231225075132.0
007 cr uuu---uuuuu
008 231225s2014 xx |||||o 00| ||eng c
024 7 |a 10.1094/PDIS-03-13-0269-RE  |2 doi 
028 5 2 |a pubmed24n0977.xml 
035 |a (DE-627)NLM293354618 
035 |a (NLM)30708633 
040 |a DE-627  |b ger  |c DE-627  |e rakwb 
041 |a eng 
100 1 |a Dias, A P S  |e verfasserin  |4 aut 
245 1 0 |a Modeling the Effects of Cloudy Weather on Regional Epidemics of Soybean Rust 
264 1 |c 2014 
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 This study simulated daily development of soybean rust (SBR), caused by Phakopsora pachyrhizi, based on cloud cover conditions. Results from a previous study that determined the relationship between shading and apparent infection rates were applied in this study to simulate SBR progress on a regional scale using a semi-empirical logistic model parameterized according to the observed cloud cover conditions. Depending on local weather data availability, cloudy days were assumed to be either (i) the days with less than 2 h of full sun or (ii) the days with complete cloud cover as measured by three daily observations. Estimated disease progress and final estimates of epidemic intensity were verified by 30 reports of seasonal disease progress in 11 regions of Brazil and South Africa from 2002 to 2007. The model predicted final disease severity and the observed final severity fall into a linear relationship with correlation coefficient r = 0.96 and a slope close to 1. Severe SBR epidemics occurred when 19.5 or more cloudy days were recorded during the period from initial disease detection to the date of final disease assessment near the end of a growing season in Brazil and South Africa. Mild epidemics were observed with less than eight cloudy days in a season 
650 4 |a Journal Article 
700 1 |a Li, X  |e verfasserin  |4 aut 
700 1 |a Yang, X B  |e verfasserin  |4 aut 
773 0 8 |i Enthalten in  |t Plant disease  |d 1997  |g 98(2014), 6 vom: 01. Juni, Seite 811-816  |w (DE-627)NLM098181742  |x 0191-2917  |7 nnns 
773 1 8 |g volume:98  |g year:2014  |g number:6  |g day:01  |g month:06  |g pages:811-816 
856 4 0 |u http://dx.doi.org/10.1094/PDIS-03-13-0269-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 98  |j 2014  |e 6  |b 01  |c 06  |h 811-816