Using Near-Infrared Spectroscopy to Select for Resistance to FHB Various Applications

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Using Near-Infrared Spectroscopy to Select for Resistance to FHB Various Applications Floyd Dowell, Ph.D. Stored Product Insect and Engineering Research Unit USDA ARS Center for Grain and Animal Health Research Manhattan, KS Shantha Peiris, Ph.D. Biological and Agricultural Engineering Department Kansas State University

Key Points Analyze single kernels Non-destructive Can measure: DON FHB Protein Hardness Color Starch Amylose Moisture Etc

Key Point I am an Engineer and NOT a wheat breeder!

Automated Single Kernel NIR System (SKNIR) PerkinElmer FT-NIR System

Automated Single-Kernel NIR System Kernel Feeder Sorting Block Sorting Bins 1 kernel/2 seconds Sort by non-visible characteristics (protein, hardness, amylose content, scab, DON, etc)

Types of Resistance Type I Resistance to initial infection. Type II Resistance to fungal spread within a spike. Type III Resistance to toxin accumulation. Type IV Resistance to kernel infection. Type V Resistance to yield loss. Measuring scab and DON levels in single kernels may help investigate some of these resistance types

SKNIRS Case Studies System to measure and select kernels based on traits such hardness, protein, starch, moisture, scab, color, toxins, etc. Quantify Scab Measure DON

SKNIRS can be used to select seeds from various crosses. Can select for hardness, color, protein, FHB, DON, etc. 210 190 170 For example, we can select the high protein, hard, red kernels with no DON or FHB from a (HRS x SRW) x HWW cross. No. Seeds 150 130 110 90 70 50 20-60 61-75 76-82 83-120 Hardness Index Dowell, F.E., Maghirang, E.B., and Baenziger, P.S. 2009. Automated single-kernel sorting to select for quality traits in wheat breeding lines. Cereal Chem. 86(5):527-533.

Distinguishing FDK from Healthy Kernels Can sort FDK from asymptomatic kernels. Enrich breeding populations. Objectively evaluate lines for %FDK We ve evaluated 1000 s of samples for USWBSI cooperators Wegulo, S.N., Dowell, F.E. 2008. Near-infrared versus visual sorting of Fusarium-damaged kernels in winter wheat. Canadian Journal Plant Science. 88(6):1087-1089.

Measuring DON in Single Kernels R 2 =0.72 Not intended to replace a chemical test, but is rapid and nondestructive 1200 1000 800 Predicted DON (ppm) 600 400 200 0-200 -400 y = 0.7492x + 96.039 R 2 = 0.7196 n=130 0 200 400 600 800 1000 1200 Actual DON (ppm) Peiris, K.H.S, Pumphrey, M.O., Dong, Y., Maghirang, E.B., Berzonsky, W., Dowell, F.E. 2010. NIRS method for identification of FHB and prediction of DON in single wheat kernels. Cereal Chem. 87(6):511-517.

Measuring DON accumulation in cultivars Rapid, non-destructive measurement by SKNIR Hernandez Nopsa, J.F., Baenziger, P.S., Eskridge, K.M., Peiris, K.H.S., Dowell, F.E., Harris, S.D., Wegulo, S.N. 2012. Differential accumulation of DON in two winter wheat cultivars varying in FHB phenotype response under field conditions. Can. J. Plant Pathol. 34:380-389.

Study DON levels in single kernels In this study, we showed that 20% of kernels with DON from Everest have much more DON than Tomahawk kernels. Peiris, K.H.S., Y. Dong, W.W. Bockus, and F.E. Dowell. 2014. SKNIR analysis for evaluating wheat samples for FHB resistance. Cereal Chem. 91(1):35-40 % of Kernels

Study effects of resistance and fungicides on FHB and DON 50 40 a Moderately resistant Susceptible Wegulo, S.N., Bockus. W.W., Nopsa, J.H., DeWolf, E.D., Eskridge, K.M., Peiris, K.H.S., and Dowell, F.E. 2011. Effects of integrating cultivar resistance and fungicide application on FHB and DON in winter wheat. Plant Disease. 95: 554-560. Fungicide efficacy (%) 30 20 10 0 b a b Index (LSD=10) DON (LSD=14) FDK (LSD=25) Yield (LSD=12) a a a a

Kernel Position DON (ppm) Spike 1 Spike 2 Spike 3 10 9 8 7 nd 6 217.3 5 342.3 4 578.8 376.2 45.7 3 285.3 452.9 49.2 2 772.0 557.7 219.5 1 350.8 0-1 863.2 1008.4 573.5-2 882.1 993.8 330.7-3 846.7 626.0 240.9-4 688.7 777.3 189.4-5 579.4 557.8 116.3-6 344.7 611.2 89.7-7 nd 416.8 93.9-8 nd nd 69.0-9 53.8-10 33.5 Measuring DON in spikes Peiris, K.H.S., Pumphrey, M.O., Dong, Y., and Dowell, F.E. 2011. Fusarium head blight symptoms and mycotoxin levels in single kernels of infected wheat spikes. Cereal Chemistry. 88(3):291-295.

Detecting FHB independent from DON Study asymptomatic kernels with DON, and vice-versa.

Summary Single kernel NIRS can be used as a tool to help breeders develop FHB resistant lines. THANKS USWBSI! Partial funding was provided by the USWBSI which provided much needed continuity for Dr. Peiris salary as ARS budgets continue to be unpredictable.