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Consecutive wheat sequences: effects of contrasting growing seasons on concentrations of Gaeumannomyces graminis var. tritici DNA in soil and take-all disease across different cropping sequences

Published online by Cambridge University Press:  20 May 2015

S. L. BITHELL*
Affiliation:
New Zealand Institute for Plant & Food Research, Christchurch, New Zealand
A. C. McKAY
Affiliation:
South Australian Research and Development Institute, Adelaide, South Australia, Australia
R. C. BUTLER
Affiliation:
New Zealand Institute for Plant & Food Research, Christchurch, New Zealand
M. G. CROMEY
Affiliation:
New Zealand Institute for Plant & Food Research, Christchurch, New Zealand
*
*To whom all correspondence should be addressed. Email: [email protected]

Summary

The extent and severity of wheat take-all (caused by Gaeumannomyces graminis var. tritici (Ggt)) can vary considerably between growing seasons. The current study aimed to identify climatic factors associated with differing concentrations of Ggt DNA in soil and take-all disease at different stages of a sequence of wheat crops. Pre-sowing soil Ggt DNA concentrations and subsequent take-all disease in consecutive wheat crop sequences were compared across six seasons in 90 commercial cropping fields in Canterbury and Southland, New Zealand, between 2003 and 2009. Disease progress was assessed in additional fields in 2004/05 and 2005/06. While a general pattern in inoculum and disease fluctuations was evident, there were exceptions among wheat crop sequences that commenced in different years, especially for first wheat crops. In three consecutive growing seasons, there was very low inoculum increase in the first wheat crop, while increases in first wheat crops during the following three seasons was much greater. Low spring–summer rainfall was associated with low build-up of inoculum in first wheat crops. The inoculum derived from the first wheat then determined the amount of primary inoculum for the subsequent second wheat, thereby influencing the severity of take-all in that crop. Differing combinations of weather conditions during one wheat crop in a sequence and the conditions experienced by the next crop provided explanations of the severity of take-all at grain fill and the resulting post-harvest soil Ggt DNA concentrations in second wheat crops. Examples of contrasting combinations were: (a) a moderate take-all epidemic and high post-harvest inoculum that followed high rainfall during grain fill, despite low pre-sowing soil Ggt DNA concentrations; (b) severe take-all and moderate to high inoculum build-up following high pre-sowing soil Ggt DNA concentrations and non-limiting rainfall; and (c) low spring and early summer rainfall slowing epidemic development in second wheat crops, even where there were high pre-sowing soil Ggt DNA concentrations. The importance of the environmental conditions experienced during a particular growing season was also illustrated by differences between growing seasons in take-all progress in fields in the same take-all risk categories based on pre-sowing soil Ggt DNA concentrations.

Type
Crops and Soils Research Papers
Copyright
Copyright © Cambridge University Press 2015 

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References

REFERENCES

Anon (2013). Monthly rainfall Moanaroa (station number 5100, 2002–2009), soil temperatures Windsor Ews (station number 18594, 2004–2006) and Winchmore Ews (station number 4764, 2004–2006). In CliFlo, National Climate Database. Auckland, New Zealand: The National Institute of Water and Atmospheric Research. Available online from: http://cliflo.niwa.co.nz/ (verified Jan–Feb 2013).Google Scholar
Bailey, D. J. & Gilligan, C. A. (1999). Dynamics of primary and secondary infection in take-all epidemics. Phytopathology 89, 8491.CrossRefGoogle ScholarPubMed
Bateman, G. L. & Hornby, D. (1999). Comparison of natural and artificial epidemics of take-all in sequences of winter wheat crops. Annals of Applied Biology 135, 555571.CrossRefGoogle Scholar
Bateman, G. L., Gutteridge, R. J. & Jenkyn, J. F. (2004). Take-all and grain yields in sequences of winter wheat crops testing fluquinconazole seed treatment applied in different combinations of years. Annals of Applied Biology 145, 317330.CrossRefGoogle Scholar
Bateman, G. L., Gutteridge, R. J., Jenkyn, J. F. & Self, M. M. (2008). Effects of fluquinconazole and silthiofam, applied as seed treatments to single or consecutive crops of wheat, on take-all epidemic development and grain yields. Annals of Applied Biology 152, 243254.CrossRefGoogle Scholar
Bithell, S. L., McLachlan, A. R. G., Hide, C. C. L., McKay, A. & Cromey, M. G. (2009). Changes in post-harvest levels of Gaeumannomyces graminis var. tritici inoculum in wheat fields. Australasian Plant Pathology 38, 277283.CrossRefGoogle Scholar
Bithell, S. L., Butler, R. C., Harrow, S., McKay, A. & Cromey, M. G. (2011). Susceptibility to take-all of cereal and grass species, and their effects on pathogen inoculum. Annals of Applied Biology 159, 252266.CrossRefGoogle Scholar
Bithell, S. L., McKay, A., Butler, R. C., Herdina, , Ophel-Keller, K., Hartley, D. & Cromey, M. G. (2012a). Predicting take-all severity in second-year wheat using soil DNA concentrations of Gaeumannomyces graminis var. tritici determined with qPCR. Plant Disease 96, 443451.CrossRefGoogle ScholarPubMed
Bithell, S. L., McKay, A. & Cromey, M. G. (2012b). Low frequency of Gaeumannomyces graminis var. avenae in New Zealand: implications for take-all management in wheat. Australasian Plant Pathology 41, 173178.CrossRefGoogle Scholar
Bithell, S. L., Butler, R. C., McKay, A. C. & Cromey, M. G. (2013). Influences of crop sequence, rainfall and irrigation on the relationships between Gaeumannomyces graminis var. tritici and take-all in New Zealand wheat fields. Australasian Plant Pathology 42, 205217.CrossRefGoogle Scholar
Boland, G. J., Melzer, M. S., Hopkin, A., Higgins, V. & Nassuth, A. (2004). Climate change and plant diseases in Ontario. Canadian Journal of Plant Pathology 26, 335350.CrossRefGoogle Scholar
Cromey, M. G., Parkes, R. A. & Fraser, P. M. (2006). Factors associated with stem base and root diseases of New Zealand wheat and barley crops. Australasian Plant Pathology 35, 391400.CrossRefGoogle Scholar
Gosme, M., Willocquet, L. & Lucas, P. (2007). Size, shape and intensity of aggregation of take-all disease during natural epidemics in second wheat crops. Plant Pathology 56, 8796.CrossRefGoogle Scholar
Gutteridge, R. J., Bateman, G. L. & Todd, A. D. (2003). Variation in the effects of take-all disease on grain yield and quality of winter cereals in field experiments. Pest Management Science 59, 215224.CrossRefGoogle ScholarPubMed
Hall, R. & Sutton, J. C. (1998). Relation of weather, crop, and soil variables to the prevalence, incidence, and severity of basal infections of winter wheat in Ontario. Canadian Journal of Plant Pathology 20, 6980.CrossRefGoogle Scholar
Herdina, , Roget, D. K. (2000). Prediction of take-all disease risk in field soils using a rapid and quantitative DNA soil assay. Plant and Soil 227, 8798.CrossRefGoogle Scholar
Herdina, , Harvey, P. & Ophel-Keller, K. (1996). Quantification of Gaeumannomyces graminis var. tritici in infected roots and soil using slot-blot hybridization. Mycological Research 100, 962970.Google Scholar
Hornby, D. (1981). Inoculum. In Biology and Control of Take-all (Eds Asher, M. J. C. & Shipton, P. J.), pp. 271293. London: Academic Press Inc. Ltd.Google Scholar
Hornby, D. (1998). Take-all Disease of Cereals: A Regional Perspective. Wallingford, UK: CAB International.CrossRefGoogle Scholar
Hornby, D. & Beale, R. (2000). Take-all Management Guide. Cambridge, UK: Monsanto Plc, Agricultural Sector.Google Scholar
Hornby, D., Bateman, G. L., Gutteridge, R. J., Ward, E. & Yarham, D. J. (1998). Disease and epidemiology. In Take-all Disease of Cereals: A Regional Perspective (Ed. Hornby, D.), pp. 47100. UK: CAB International.CrossRefGoogle Scholar
Kocks, C. G., Zadoks, J. C. & Ruissen, M. A. (1999). Spatio-temporal development of black rot (X. campestris pv. campestris) in cabbage in relation to initial inoculum levels in field plots in The Netherlands. Plant Pathology 48, 176188.CrossRefGoogle Scholar
McLaren, R. G. & Cameron, K. C. (1994). Soil Science. Auckland, New Zealand: Oxford University Press.Google Scholar
Paulitz, T. C., Schroeder, K. L. & Schillinger, W. F. (2010). Soilborne pathogens of cereals in an irrigated cropping system: effects of tillage, residue management, and crop rotation. Plant Disease 94, 6168.CrossRefGoogle Scholar
Pillinger, C., Paveley, N., Foulkes, M. J. & Spink, J. (2005). Explaining variation in the effects of take-all (Gaeumannomyces graminis var. tritici) on nitrogen and water uptake in wheat. Plant Pathology 54, 491501.CrossRefGoogle Scholar
Polley, R. W. & Thomas, M. R. (1991). Surveys of diseases of winter wheat in England and Wales, 1976–1988. Annals of Applied Biology 119, 120.CrossRefGoogle Scholar
Prew, R. D. (1980). Studies on the spread of Gaeumannomyces graminis var. tritici in wheat. II. The effect of cultivations. Annals of Applied Biology 94, 397404.CrossRefGoogle Scholar
Quemada, M. (2004). Predicting crop residue decomposition using moisture adjusted time scales. Nutrient Cycling in Agroecosystems 70, 283291.CrossRefGoogle Scholar
Riley, I. T., Wiebkin, S., Hartley, D. & McKay, A. C. (2010). Quantification of roots and seeds in soil with real-time PCR. Plant and Soil 331, 151163.CrossRefGoogle Scholar
Van Toor, R. F., Chng, S. F., Warren, R. M., Butler, R. C. & Cromey, M. G. (2015). The influence of growth stage of different cereal species on host susceptibility to Gaeumannomyces graminis var. tritici and on Pseudomonas populations in the rhizosphere. Australasian Plant Pathology 44, 5770.CrossRefGoogle Scholar
Waters, R. (1920). Take-all disease in wheat - incidence in New Zealand. New Zealand Journal of Agriculture 20, 137143.Google Scholar
Werker, A. R. & Gilligan, C. A. (1990). Analysis of the effects of selected agronomic factors on the dynamics of the take-all disease of wheat in field plots. Plant Pathology 39, 161177.CrossRefGoogle Scholar
Werker, A. R., Gilligan, C. A. & Hornby, D. (1991). Analysis of disease-progress curves for take-all in consecutive crops of winter wheat. Plant Pathology 40, 824.CrossRefGoogle Scholar
West, J. S., Townsend, J. A., Stevens, M. & Fitt, B. D. L. (2012). Comparative biology of different plant pathogens to estimate effects of climate change on crop diseases in Europe. European Journal of Plant Pathology 133, 315331.CrossRefGoogle Scholar
Wong, P. T. W. (1984). Saprophytic survival of Gaeumannomyces graminis and Phialophora spp. at various temperature-moisture regimes. Annals of Applied Biology 105, 455461.CrossRefGoogle Scholar
Zadoks, J. C., Chang, T. T. & Konzak, C. F. (1974). A decimal code for the growth stages of cereals. Weed Research 14, 415421.CrossRefGoogle Scholar