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Virginia Tech

Use of digital image analysis to identify <i>Rhizoctonia solani</i> and <i>Rhizoctonia zeae</i> resistance in <i>Festuca arundinacea</i> plant introductions

Abstract

dc:description.abstract

Brown patch, caused by <i>Rhizoctonia solani</i> Kuhn, is an important disease on tall fescue (TF, <i>Festuca arundinacea</i> Schreb, synonym <i>Schedonorus phoenix</i> (Scop.) Holub). <i>Rhizoctonia zeae</i> Voorhees, a related pathogen, causes similar symptoms. Confusion over which <i>Rhizoctonia</i> species is causing symptoms and subjective visual evaluations of disease severity may contribute to variability in observed BP resistance of TF cultivars at multiple locations. The objectives of this study were to develop an objective digital image analysis (DIA) method for evaluating disease and to use DIA to screen tall fescue plant introductions (PIs) for resistance to <i>R. solani</i> and <i>R. zeae</i>. There was a strong correlation (r<sup>2</sup> = 0.97) between actual disease severity, measured by applying lesioned tissue of a known area to healthy leaves, and DIA calculated disease severity using scanned images of individual leaves (DIA-IL). The accuracy and precision of visual evaluations and DIA evaluations of entire plants (DIA-WP) were evaluated using DIA-IL as a standard of accuracy. Accuracy of DIA-WP was not significantly different from visual evaluation accuracy. Precision was significantly higher for DIA-WP. Evaluation of PIs and putatively BP resistant TF cultivars for resistance to <i>R. solani</i> and <i>R. zeae</i> using DIA-WP identified clones within each PI that ranked high for resistance to <i>R. solani</i> or <i>R. zeae</i>. No clones were identified with high resistance to both <i>R. solani</i> and <i>R. zeae</i>. Improved precision of DIA evaluation methods and inclusion of <i>R. zeae</i> in BP resistance breeding may decrease variability of TF cultivar performance across locations.

Degree

thesis:*
Name thesis:degree_name
Master of Science
Level thesis:degree_level
masters
Discipline thesis:degree_discipline
Plant Pathology, Physiology, and Weed Science
Department dc:contributor.department
Plant Pathology, Physiology, and Weed Science
Grantor dc:publisher
Virginia Tech
Year dc:date.issued
2009

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Sykes, Virginia Roseanna
Chair dc:contributor.committeechair
  • Horvath, Brandon J.
Committee members dc:contributor.committeemember
  • Askew, Shawn D.
  • Baudoin, Antonius B.
  • Goatley, J. Michael Jr.

Subjects

dc:subject × 5

Rights

dc:rights
Statement dc:rights
  • In Copyright

Identifiers

dc:identifier.*
Dc Identifier Other
etd-05212009-201102
OAI identifier oai:identifier
oai:vtechworks.lib.vt.edu:10919/42769

Chain of custody

source
Harvested from
Virginia Tech
Base URL
vtechworks.lib.vt.edu/oai/request
Last updated
2026-07-22
Source record
OAI-PMH GetRecord
citation

Sykes, Virginia Roseanna. Use of digital image analysis to identify <i>Rhizoctonia solani</i> and <i>Rhizoctonia zeae</i> resistance in <i>Festuca arundinacea</i> plant introductions. masters thesis, Virginia Tech, 2009. http://hdl.handle.net/10919/42769