INVESTIGADORES
SALERNO Graciela Lidia
artículos
Título:
Occurrence of Fusarium graminearum from wheat in relation to climatic models in Argentina Pampas Region
Autor/es:
KIKOT, G.; MOSCHINI, R.; CONSOLO, V.F.; ROJO, R.; SALERNO, G.L.; HOURS, R.; GASONI, L.; ARAMBARRI, A.M.; ALCONADA, T.M.
Revista:
MYCOPATHOLOGIA
Editorial:
Springer Netherlands
Referencias:
Año: 2011 vol. 71 p. 139 - 149
ISSN:
0301-486X
Resumen:
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Fusarium head blight (FHB) is an important disease throughout many of the world wheat-growing areas that have humid to semi-humid climate.The infection happens during the antesis of the wheat, when there have been favorable conditions of moisture and temperature. The direct relation of the infection to environmental factors make possible the formulation of mathematical models that predict the disease. The causal agent of the FHB of the spike of wheat is attributed principally to Fusarium graminearum. In Argentina, high economic losses due to wheat grains contaminated with this pathogen have been recorded. In the present work 67 isolates of Fusarium spp. were obtained from samples of wheat grains from pampas region from 15 locations distributed in Buenos Aires, Entre Ríos, Santa Fe and Córboba provinces during 2006 and 2007 wheat growing seasons. The identification of species from monosporic isolates was carried out by morphological characterization and use of species specific PCR-based assays. Both identification criteria were necessary and complementary for the species determination, since in some cases the molecular identification was not specific. Scanty presence of F. graminearum was observed in 2006 wheat growing season coinciding with the lack of favorable meteorological conditions for producing FHB events. High presence of F.graminearum isolates was observed in 2007 wheat growing season, in accordance with moderate incidence of the disease according to spatial distribution of FHB incidence values. The aim of this report was to identify the causal agent of the FHB disease by different taxonomic criteria and to relate its occurrence with predictive climatic models in Argentina.