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ARS Home » Plains Area » Fargo, North Dakota » Edward T. Schafer Agricultural Research Center » Cereal Crops Research » Research » Publications at this Location » Publication #176298

Title: SIMPLE AND RAPID IMMUNE QUANTIFICATION OF FUSARIUM IN BARLEY AND ITS RELATIONSHIP WITH DON AND FHB SCORES.

Author
item HILL, N. - UNIV OF GEORGIA ATHENS GA
item SCHWARZ, PAUL - PLNT SCI, NDSU,FARGO ND
item HORSLEY, RICH - PLNT SCI, NDSU, FARGO ND
item NEATE, STEPHEN - PLNT PATH, NDSU FARGO, ND
item STEFFENSON, BRIAN - PLNT PATH UOFM ST PAUL MN
item Dahleen, Lynn
item COOPER, B. - BUSCH AG, FT COLLINS, CO
item KITTLE, B. - UNIV OF GEORGIA ATHENS GA
item JONES, A. - UNIV OF GEORGIA ATHENS GA

Submitted to: International Wheat Scab Symposium Proceedings
Publication Type: Abstract Only
Publication Acceptance Date: 11/25/2004
Publication Date: 12/10/2004
Citation: Hill, N.S., Schwarz, P., Horsley, R., Neate, S., Steffenson, B., Dahleen, L.S., Cooper, B., Kittle, B., Jones, A. 2004. Simple and rapid immune quantification of Fusarium in barley and its relationship with DON and FHB scores. Proceedings of the 2nd International Symposium on Fusarium Head Blight; incorporting the 8th European Fusarium Seminar; Dec. 11-15, 2004, Orlando, Fl. pp. 403.

Interpretive Summary:

Technical Abstract: A simple and accurate method of quantifying the presence of Fusarium graminearum limits our ability to understand disease epidemiology, develop control measures, or improve resistance via breeding or biotechnology. Breeding based upon visual scores of head blight incidence have greater heritability than selecting low deoxynivalenol (DON), but visual scoring is not easily standardized. Head blight scores (mean r = 0.21, std. dev. = 0.24) and DON (mean r = 0.46, std. dev. = 0.22) were poorly correlated among locations in the 2003 NABSEN field trials. Both visual scoring and DON analysis are time consuming, making neither amenable to multiple analysis for inter- or intra-experiment quality control assessments. Thus a better method of Fusarium quantification is needed to measure head blight that can be used as quality assurance methods for end users. An ELISA test for Fusarium in small grains and corn was developed. Experimental error associated with visual scoring, DON analysis, and ELISA evaluation of Fusarium presence was evaluated in three replicated field experiments grown in Osnabrock, Langdon, and Casselton, ND. Each were visually scored for FHB, analyzed for DON by GC-EC, and analyzed for F. graminearum by species-specific indirect ELISA. Coefficients of variation and a correlation matrix were calculated for each response variable. We obtained 89 samples from grain elevators in North Dakota and correlated FHB, DON, and ELISA data with one another. In another study, we developed a method to sequentially extract DON and Fusarium antigens to quantify both within individual seeds, thus eliminating variability to sampling. Mean coefficients of variability for the ELISA values were lower than FHB or DON in the field studies. Mean correlation coefficients among the field experiments were greater for ELISA vs. DON than for ELISA vs. FHB or DON vs. FHB. Similarly, correlations coefficients between ELISA and DON were greater than ELISA vs. FHB or DON vs. FHB for the grain elevator samples. Analysis of individual seeds for DON and ELISA did not improve goodness of fit among samples. Thus, we grew 3 isolates of Fusarium graminearum in 4 different media with 10 replications. Mycelial growth was less on Shenk Hildebrandt medium than other media, but other media did not differ from one another. Fusarium antigen per g of mycelium was not different among media or isolates. DON was highly variable within each medium, ranging from 0 to 26 ppm. Subsequent to these studies we have analyzed as many as 1000 barley samples (in duplicate) in one day using ELISA with an R2 =0.97 for the repeated measures. Consistency, speed, and ease of analyses make ELISA a superior method for quantifying F. graminearum.