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dc.contributor.authorKhan, J.
dc.contributor.authorQi, Aiming
dc.contributor.authorKhan, M. F. R.
dc.date.accessioned2013-08-20T12:45:01Z
dc.date.available2013-08-20T12:45:01Z
dc.date.issued2009-07
dc.identifier.citationKhan , J , Qi , A & Khan , M F R 2009 , ' Fluctuations in Number of Cercospora beticola Conidia in Relationship to Environment and Disease Severity in Sugar Beet ' , Phytopathology , vol. 99 , no. 7 , pp. 796-801 . https://doi.org/10.1094/PHYTO-99-7-0796
dc.identifier.issn0031-949X
dc.identifier.otherPURE: 1997287
dc.identifier.otherPURE UUID: b538c20f-511c-4e51-8428-eb5968a851f7
dc.identifier.otherWOS: 000266968400002
dc.identifier.otherScopus: 68149164457
dc.identifier.urihttp://hdl.handle.net/2299/11393
dc.descriptionAll content of Phytopathology is open access without restriction 12 months after publication
dc.description.abstractCercospora leaf spot, caused by Cercospora beticola, is the most damaging foliar disease of sugar beet in Minnesota (MN) and North Dakota (ND). Research was conducted to characterize the temporal progression of aerial concentration of C. beticola conidia in association with the environment and disease severity in sugar beet. In 2003 and 2004, volumetric spore traps were placed within inoculated sugar beet plots to determine daily dispersal of conidia at Breckenridge, MN, and St. Thomas, ND. Plots were rated weekly for disease severity. At both locations, conidia were first collected in early July 2003 and late June in 2004. Peaks of conidia per cubic meter of air were observed with maxima in late August 2003 and in early September 2004 at both locations. Peaks of airborne conidium concentration were significantly correlated with the average temperature of daily hours when relative humidity was greater than 87%. Weekly mean hourly conidia per cubic meter of air was significantly (P <0.01) associated with disease severity during both years and across locations. This study showed that C. beticola conidial numbers may be used to estimate potential disease severity that, with further research, could be incorporated in a disease forecasting model to rationalize Cercospora leaf spot management.en
dc.format.extent6
dc.language.isoeng
dc.relation.ispartofPhytopathology
dc.rightsOpen
dc.subjectBeta
dc.subjectMANAGEMENT
dc.subjectDISPERSAL
dc.subjectLEAF-SPOT
dc.subjectsporulation
dc.subjectMODEL
dc.subjectSPORULATION
dc.subjectBOTRYTIS-SQUAMOSA
dc.subjectINFECTION
dc.subjectRESISTANCE
dc.subjectBETA-VULGARIS
dc.subjectpolycyclic
dc.subjectTEMPERATURE
dc.titleFluctuations in Number of Cercospora beticola Conidia in Relationship to Environment and Disease Severity in Sugar Beeten
dc.contributor.institutionSchool of Life and Medical Sciences
dc.contributor.institutionHealth & Human Sciences Research Institute
dc.contributor.institutionDepartment of Human and Environmental Sciences
dc.contributor.institutionAgriculture, Veterinary and Food Sciences
dc.contributor.institutionGeography, Environment and Agriculture
dc.contributor.institutionCrop and Environmental Protection
dc.description.statusPeer reviewed
dc.relation.schoolSchool of Life and Medical Sciences
dc.description.versiontypeFinal Published version
dcterms.dateAccepted2009-07
rioxxterms.versionVoR
rioxxterms.versionofrecordhttps://doi.org/10.1094/PHYTO-99-7-0796
rioxxterms.typeJournal Article/Review
herts.preservation.rarelyaccessedtrue
herts.rights.accesstypeOpen


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