Effects of plant morphological traits on phoma black stem in sunflower

European Journal of Plant Pathology

Volumn 145, Issue 2, 2016, Pages 345-361

  Schwanck, André Aguiar ^a   Savary, Serge ^a   Debaeke, Philippe ^a   Vincourt, Patrick ^b   Willocquet, Laetitia ^a  

^a UNIVERSITÉ DE TOULOUSE   (France)

^b LABORATOIRE DES INTERACTIONS PLANTES MICROORGANISMES LIPM   (France)

Author keywords

Botanical epidemiology; Helianthus annuus; Leptosphaeria lindquistii; Phoma macdonaldii; Plant morphology; Sunflower

Indexed keywords

DISEASE RESISTANCE; DISEASE SEVERITY; EPIDEMIOLOGY; FLOWERING; FUNGAL DISEASE; FUNGUS; GENOTYPE; HERB; HOST PLANT; MORPHOLOGY; PATHOGEN; SAMPLING;

FRANCE;

HELIANTHUS; HELIANTHUS ANNUUS; LEPTOSPHAERIA LINDQUISTII; PHOMA;

EID: 84954323708     PISSN: 09291873     EISSN: 15738469     Source Type: Journal    
DOI: 10.1007/s10658-015-0848-8     Document Type: Article

References (43)

1. Ando, K., Grumet, R., Terpstra, K., & Kelly, J. D. (2007). Manipulation of plant architecture to enhance crop disease control. CAB Reviews: Perspectives in Agriculture, Veterinary Science, Nutrition and Natural Resources, 2(8).
2. Andrivon, D., Giorgetti, C., Baranger, A., Calonnec, A., Cartolaro, P., Faivre, R., Guyader, S., Lauri, P. E., Lescourret, F., Parisi, L., Ney, B., Tivoli, B., & Sache, I. (2013). Defining and designing plant architectural ideotypes to control epidemics? European Journal of Plant Pathology, 135, 611–617.
3. Beligan, S. G., Willocquet, L., & Savary, S. (2013). A strategy to identify sources of quantitative resistance in pathosystems involving disease escape and physiological resistance: the case study of rice sheath blight. Plant Pathology, 62, 888–899.
4. Benzécri, J. P. (1973). L’Analyse des Données. Tome 2. L’Analyse des Correspondances. Dunod, Paris 632p.
5. Bert, P. F., Dechamp-Guillaume, G., Serre, F., Jouan, I., de Labrouhe, D. T., Nicolas, P., & Vear, F. (2004). Comparative genetic analysis of quantitative traits in sunflower (Helianthus annuus L.). Theoretical and Applied Genetics, 109(4), 865–874.
6. Bock, C. H., Poole, G. H., Parker, P. E., & Gottwald, T. R. (2010). Plant disease severity estimated visually, by digital photography and image analysis, and by hyperspectral imaging. Critical Reviews in Plant Sciences, 29(2), 59–107.
7. Bordat, A., Debaeke, P., Dechamp-Guillaume, G., Mestries, E., Seassau, C., & Vincourt, P. (2011). Phoma et dessèchement précoce du tournesol. Toulouse: CETIOM.
8. Bordat, A., Mestries, E., Dechamp-Guillaume, G., Bros, V., Descorps, C., Marchal, L., Perez, R., Vincourt P. (2012). Genetic variability and QTL for sunflower tolerance to premature ripening caused by Phoma macdonaldii. Proceedings of the 18th International Sunflower Conference, Mar Del Plata (Argentina).
9. Debaeke, P., & Pérès, A. (2003). Influence of sunflower (Helianthus annuus L.) crop management on phoma black stem (Phoma macdonaldii Boerema). Crop Protection, 22(5), 741–752.
10. Délos, M., Moinard, J., & Mülhberger, E. (1998). Mise au point d’une méthode d’évaluation des risques de contaminations de Leptosphaeria lindquistii Frezzi, champignon parasite du tournesol (pp. 429–436). Tours: ANPP-Cinquième Conférence Internationale sur les Maladies des Plantes.
11. Donald, C. M. T. (1968). The breeding of crop ideotypes. Euphytica, 17(3), 385–403.
12. Donald, P. A., Venette, J. R., & Gulya, T. J. (1987). Relationship between Phoma macdonaldii and premature death of sunflower in North Dakota. Plant Disease, 71, 466–468.
13. Greenacre, M. J. (1984). Theory and applications of correspondence analysis. London: Academic.
14. Gulya, T. J., Rashid, K. Y., & Masirevic, S. M. (1997). Sunflower diseases. In A. A. Schneiter (Ed.), Sunflower technology and production (Agronomy monograph No, Vol. 35, pp. 263–380).
15. Harrell, F. E., Jr. (2001). Regression modeling strategies: with applications to linear models, logistic regression, and survival analysis. New York: Springer.
16. Hedden, P. (2003). The genes of the green revolution. Trends in Genetics, 19(1), 5–9.
17. James, W. C. J. (1971). A manual of assessment keys for plant diseases. St Paul: APS Press.
18. Large, E. C. (1966). Measuring plant disease. Annual Review of Phytopathology, 4(1), 9–26.
19. McRoberts, N., Hughes, G., & Madden, L. V. (2003). The theoretical basis and practical application of relationships between different disease intensity measurements in plants. Annals of Applied Biology, 142, 191–211.
20. Merrien, A., & Milan, M. J. (1992). Physiologie du tournesol. Paris: CETIOM.
21. Nutter, F. W., Jr., Teng, P. S., & Shokes, F. M. (1991). Disease assessment terms and concepts. Plant Disease, 75, 1187–1188.
22. Poland, J. A., & Nelson, R. J. (2011). In the eye of the beholder: the effect of rater variability and different rating scales on QTL mapping. Phytopathology, 101(2), 290–298.
23. Poland, J. A., Balint-Kurti, P. J., Wisser, R. J., Pratt, R. C., & Nelson, R. J. (2009). Shades of gray: the world of quantitative disease resistance. Trends in Plant Science, 14(1), 21–29.
24. Pouzet, A., & Bugat, F. (1985). Description d’une méthode simple et rapide pour l’estimation de la surface foliaire par plante chez le tournesol. Proceedings of the 11th International Sunflower Conference. ISA, Mar del Plata, Argentina, 10–13 March 1985, pp.21–26.
25. Roustaee, A., Barrault, G., Dechamp‐Guillaume, G., Lesigne, P., & Sarrafi, A. (2000). Inheritance of partial resistance to black stem (Phoma macdonaldii) in sunflower. Plant Pathology, 49(3), 396–401.
26. Saporta, G. (1990). Probabilités analyse des données et statistique. Paris: Editions Tevhnip.
27. Savary, S., Castilla, N. P., Elazegui, F. A., McLaren, C. G., Ynalvez, M. A., & Teng, P. S. (1995a). Direct and indirect effects of nitrogen supply and disease source structure on rice sheath blight spread. Phytopathology, 85, 959–965.
28. Savary, S., Madden, L. V., Zadoks, J. C., & Klein-Gebbinck, H. W. (1995b). Use of categorical in formation and correspondence analysis in plant disease epidemiology. Advances in Botanical Research, 21, 213–240.
29. Schlösser, I., Kranz, J., & Bonman, J. M. (2000). Characterization of plant type and epidemiological development in the pathosystem upland rice/rice blast (Pyricularia grisea) by means of multivariate statistical methods. Zeitschrift fur Pflanzenkrankheiten und Pflanzenschutz, 107(1), 12–32.
30. Schneiter, A. A., & Miller, J. F. (1981). Description of sunflower growth stages. Crop Science, 21, 901–903.
31. Schwanck, A. A., & Del Ponte, E. M. (2014). Accuracy and reliability of severity estimates using linear or logarithmic disease diagram sets in true colour or black and white: a study case for rice brown spot. Journal of Phytopathology, 162(10), 670–682.
32. Scott, P. R., Benedikz, P. W., Zones, H. G., & Ford, M. A. (1985). Some effects of canopy structure and microclimate on infection of tall and short wheats by Septoria nodorum. Plant Pathology, 34(4), 578–593.
33. Seassau, C., Debaeke, P., Mestries, E., & Dechamp-Guillaume, G. (2010). Evaluation of inoculation methods to reproduce sunflower premature ripening caused by Phoma macdonaldii. Plant Disease, 94(12), 1398–1404.
34. Shaw, M. W. (1995). Simulation of population expansion and spatial pattern when individual dispersal distributions do not decline exponentially with distance. Proceedings of the Royal Society of London, Series B: Biological Sciences, 259(1356), 243–248.
35. Shaw, M. W. (1996). Simulating dispersal of fungal spores by wind, and the resulting patterns. Aspects of Applied Biology, 46, 165–172.
36. Snedecor, G. W., & Cochran, W. G. (1989). Statistical methods. Ames: Iowa State University Press.
37. Srinivasachary, Beligan, G., Willocquet, L., & Savary, S. (2013). A strategy to identify 587 sources of quantitative resistance in pathosystems involving disease escape and 588 physiological resistance: the case study of rice sheath blight. Plant Pathology, 62, 888-899.
38. Steinberg, D., & Colla, P. (2009). Logistic regression. In SYSTAT 13 statistics III (pp. 1–102). San Jose: SYSTAT Software Inc.
39. Wilkinson, L., Engelman, L., Corter, J., & Coward, M. (2007). Cluster analysis. In SYSTAT 13 statistics I (pp. 65–124). San Jose: SYSTAT Software Inc.
40. Willocquet, L., Noel, M., Sackville Hamilton, R., & Savary, S. (2012). Susceptibility of rice to sheath blight: an assessment of the diversity of rice germplasm according to genetic groups and morphological traits. Euphytica, 183, 227–41.
41. Xie, W., Yu, K., Pauls, K. P., & Navabi, A. (2012). Application of image analysis in studies of quantitative disease resistance, exemplified using common bacterial blight-common bean pathosystem. Phytopathology, 102(4), 434–442.
42. Zadoks, J. C., & Schein, R. D. (1979). Epidemiology and plant disease management. New York: Oxford University Press.
43. Zhu, H., Gilchrist, L., Hayes, P., Kleinhofs, A., Kudrna, D., Liu, Z., Prom, L., Steffenson, B., Toojinda, T., & Vivar, H. (1999). Does function follow form? principal QTLs for Fusarium head blight (FHB) resistance are coincident with QTLs for inflorescence traits and plant height in a doubled-haploid population of barley. Theoretical and Applied Genetics, 99, 1221–1232.