Elizabeth Dann

Dr. Elizabeth Dann

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Research Focus & Metrics

Academic Career Length

32Years (1995-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 July 2013 in Fungal Genetics and Biology
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Journal Article
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MKMatthew T. Kasson
Matthew T. Kasson
KOKerry O’dOnnell
Kerry O’dOnnell
ARAlejandro P. Rooney
Alejandro P. Rooney
SSStacy Sink
Stacy Sink
RPRandy C. Ploetz
Randy C. Ploetz
DGDavid M. Geiser
David M. Geiser

1 April 1998 in European Journal of Plant Pathology
Verified
Journal Article
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EDElizabeth Dann
Elizabeth Dann
BDBrian Diers
Brian Diers
JBJoe Byrum
Joe Byrum
RHRay Hammerschmidt
Ray Hammerschmidt

1 February 2018 in Remote Sensing
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Journal Article
Open access
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ASArachchige Surantha Ashan Salgadoe
Arachchige Surantha Ashan Salgadoe
Andrew RobsonAndrew Robson
Andrew Robson
DLDavid Lamb
David Lamb
EDElizabeth Dann
Elizabeth Dann
CSChristopher Searle
Christopher Searle
Phytophthora root rot (PRR) infects the roots of avocado trees, resulting in reduced uptake of water and nutrients, canopy decline, defoliation, and, eventually, tree mortality. Typically, the severity of PRR disease (proportion of canopy decline) is assessed by visually comparing the canopy health of infected trees to a standardised set of photographs and a corresponding disease rating. Although this visual method provides some indication of the spatial variability of PRR disease across orchards, the accuracy and repeatability of the ranking is influenced by the experience of the assessor, the visibility of tree canopies, and the timing of the assessment. This study evaluates two image analysis methods that may serve as surrogates to the visual assessment of canopy decline in large avocado orchards. A smartphone camera was used to collect red, green, and blue (RGB) colour images of individual trees with varying degrees of canopy decline, with the digital photographs then analysed to derive a canopy porosity percentage using a combination of ‘Canny edge detection’ and ‘Otsu’s’ methods. Coinciding with the on-ground measure of canopy porosity, the canopy reflectance characteristics of the sampled trees measured by high resolution Worldview-3 (WV-3) satellite imagery was also correlated against the observed disease severity rankings. Canopy porosity values (ranging from 20–70%) derived from RGB images were found to be significantly different for most disease rankings (p < 0.05) and correlated well (R2 = 0.89) with the differentiation of three disease severity levels identified to be optimal. From the WV-3 imagery, a multivariate stepwise regression of 18 structural and pigment-based vegetation indices found the simplified ratio vegetation index (SRVI) to be strongly correlated (R2 = 0.96) with the disease rankings of PRR disease severity, with the differentiation of four levels of severity found to be optimal.

1 July 1999 in Phytopathology®
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Journal Article
Open access
EDElizabeth Dann
Elizabeth Dann
BDB. W. Diers
B. W. Diers
RHR. Hammerschmidt
R. Hammerschmidt
Severity of Sclerotinia stem rot of soybean after treatment with lactofen (Cobra) and other herbicides was assessed in field experiments conducted in Michigan from 1995 to 1997. At sites where disease pressure was high, disease severity was reduced 40 to 60% compared with controls when lactofen was applied at the V3 (1995 and 1996) or R1 (1997) growth stages. Corresponding seed yields were unchanged or up to 20% greater when lactofen was applied at the R1 stage in 1997. Disease severity was not reduced by lactofen treatments in years and at sites where disease pressure was low to medium, and corresponding yields often were reduced by ≈10%. High levels of glyceollin accumulated in lactofen-injured leaves collected from field plots in 1996 and 1997. High glyceollin content in lactofen-treated leaves was associated with significant reductions in lesion size when leaves were challenge-inoculated with Sclerotinia sclerotiorum.

25 October 2020 in Pest Management Science
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Journal Article
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EDElizabeth Dann
Elizabeth Dann
AMAdéle McLeod
Adéle McLeod