Browse > Article
http://dx.doi.org/10.5423/PPJ.2012.28.2.212

Alternative Measure for Assessing Incidence of Leaf Stripe on Barley  

Arabi, Mohammad Imad Eddin (Department of Molecular Biology and Biotechnology, AECS)
Jawhar, Mohammad (Department of Molecular Biology and Biotechnology, AECS)
Publication Information
The Plant Pathology Journal / v.28, no.2, 2012 , pp. 212-215 More about this Journal
Abstract
Pyrenophora graminea, the causal agent of leaf stripe disease, is an economically important pathogen of barley found worldwide. It is critical to clearly define and standardize the leaf stripe assessment methods to avoid subjectivity and variability between assessors. Therefore, in this study, a comparison between the proportion of diseased plants (DP) and the proportion of diseased leaves (DL) per plant was investigated. Disease assessments were made visually at multiple sample sites in artificially and naturally inoculated research and production fields during four growing seasons. There were significant differences (P = 0.001) among cultivars in mean DP and DL averages, which are consistently higher in susceptible barley. However, DP values increased linearly as DL increased. The slopes and intercepts of the DP-DL relationship were consistent over the four growing seasons. This result might make a significant contribution for leaf stripe assessment in barley breeding programme.
Keywords
barley; incidence; leaf stripe; Pyrenophora graminea;
Citations & Related Records
연도 인용수 순위
  • Reference
1 Platenkamp, R. 1976. Investigations on the infection pathway of Drechslera graminea in germinating barley. Rev. Plant Pathol. 56:319-320.
2 Porta-Puglia, A., Delogu, G. and Vannacci, G. 1986. Pyrenophora graminea on winter barley seed: effect on disease incidence and yield losses. Phytopathology 117:26-33.   DOI
3 Seem, R. C. 1984. Disease incidence and severity relationships. Annu. Rev. Phytopathol. 22:133-150.   DOI   ScienceOn
4 Seem, R. C. and Gilpatrick, J. D. 1980. Incidence and severity relationships of secondary infections of powdery mildew on apple. Phytopathology 70:851-854.   DOI
5 Skou, J. P., Nielsen, B. J. and Haahr, V. 1994. Evaluation and importance genetic resistance to leaf stripe in western European barleys. Acta Agri. Scand. 44:68-106.
6 Tekauz, A. and Chiko, A. W. 1980. Leaf stripe of barley caused by Pyrenophora graminea: Occurrence in Canada and comparisons with barley stripe mosaic. Can. J. Plant Pathol. 2:52-158.
7 Zadoks, J. C., Chang, T. T. and Konzak, C. F. 1974. A decimal code for the growth stages of cereals. Weed Res. 14:415-421.   DOI
8 Willocquet, L. and Savary, S. 2004. An epidemiological simulation model with three scales of spatial hierarchy. Phytopathology 94:883-891.   DOI   ScienceOn
9 Dillard, H. R. and Seem, R. C. 1990. Incidence and severity relationships for common maize rust on sweet corn. Phytopathology 80:842-846.   DOI
10 Haegi, A., Vale, G., Stanca, A. M. and Porta-Puglia, A. 1998. Molecular 'conversation' between host plants and fungi and a case of study: barley-Pyrenophora graminea. Plant Pathol. 2: 111-128.
11 Hammouda, A. M. 1986. Modified technique for inoculation in leaf stripe of barley. Acta Phytopathol. Entomol. Hung. 21: 255-259.
12 Mathre, D. E. 1997. Compendium of barley diseases. 2nd ed. American Phytopathol. Society Press, St. Paul, Minnesota 90 pp.
13 McRoberts, N., Hughes, G. and Madden, L. V. 2003. The theoretical basis and practical application of relationships between different disease intensity measures in plants. Ann. Appl. Biol. 142:191-211.   DOI   ScienceOn
14 Neter, J. and Wasserman, W. 1974. Applied linear statistical models. Richard D. Irwin, Homewood, IL. 842 pp.
15 Nutter, F. W. and Schultz, P. M. 1995. Improving the accuracy and precision of disease assessments: selection of methods and use of computer aided training programs. Can. J. Plant Pathol. 17: 174-184.   DOI
16 Nyvall, R. F., Percich, J. A., Porter, R. A. and Brantner, J. R. 1995. Comparison of fungal brown spot severity to incidence of seed borne Bipolaris oryzae and B. sorokiniana and infected floral sites on cultivated wild rice. Plant Dis. 79:249-250.   DOI
17 Arabi, M. I. E., MirAli, N., Jawhar, M. and Al-Safadi, B. 2002. Differentiation of Drechslera graminea isolates by cultural characters and SDS-PAGE. J. Plant Pathol. 84:153-156.
18 Pecchioni, N., Faccioli, P., Toubia-Rahme, H., Vale, G. and Terzi, V. 1996. Quantitative resistance to leaf stripe (Pyrenophora graminea) is dominated by one major locus. Theor. Appl. Genet. 93:97-101.   DOI   ScienceOn
19 Pecchioni, N., Vale, G., Toubia-Rahme, H., Faccioli, P., Terzi, V. and Delogu, G. 1999. Barley-Pyrenophora graminea interaction: QTL analysis and gene mapping. Plant Breed. 118:29-35.   DOI   ScienceOn
20 Anonymous, 1988. STAT-ITCF, Programme, MICROSTA, realized by ECOSOFT, 2nd Ver. Institut Technique des Cereals et des Fourrages Paris, pp 55.
21 Arabi, M. I. E., Jawhar, M., Al-Safadi, B. and MirAli, N. 2004. Yield responses of barley to leaf stripe (Pyrenophora graminea) under experimental conditions in southern Syria. J. Phytopathol. 152:519-523.   DOI   ScienceOn
22 Arabi, M. I. E. and Jawhar, M. 2010. Interrelationship between incidence and severity of leaf stripe on barley. J. Plant Pathol. 92:503-505.
23 Arru, L., Francia, E. and Pecchioni, N. 2003. Isolate-specific QTLs of resistance to leaf stripe (Pyrenphora graminea) in the Steptoe x Morex spring barley cross. Theor. Appl. Genet. 106: 668-675.
24 Boulif, M. and Wilcoxson, R. D. 1988. Inheritance of resistance to Pyrenophora graminea in barley. Plant Dis. 72:233-238.   DOI
25 Campbell, C. L. and Madden, L. V. 1990. Introduction to Plant Disease Epidemiology. John Wiley & Sons, New York.
26 De Wolf, E. D., Madden, L. V. and Lipps, P. E. 2003. Risk assessment models for wheat Fusarium head blight epidemics based on within-season weather data. Phytopathology 93:428-435.   DOI   ScienceOn
27 Cockerell, V., Rennie, W. J. and Jacks, M. 1995. Incidence and control of barley leaf stripe (Pyrenophora graminea) in Scottish barley during the period 1987-1992. Plant Pathol. 44: 655-661.   DOI   ScienceOn