A Novel Approach to the Design and Analysis of Field Experiments to Study Variation in the Tolerance and Resistance of Cultivars to Root Lesion Nematodes (Pratylenchus spp.)
Article
Reeves, Karyn L., Forknall, Clayton R., Kelly, Alison M., Owen, Kirsty J., Fanning, Joshua, Hollaway, Grant J. and Loughman, Robert. 2020. "A Novel Approach to the Design and Analysis of Field Experiments to Study Variation in the Tolerance and Resistance of Cultivars to Root Lesion Nematodes (Pratylenchus spp.)." Phytopathology: International Journal of the American Phytopathological Society. 110 (10), pp. 1623-1631. https://doi.org/10.1094/PHYTO-03-20-0077-R
| Article Title | A Novel Approach to the Design and Analysis of Field Experiments to Study Variation in the Tolerance and Resistance of Cultivars to Root Lesion Nematodes (Pratylenchus spp.) |
|---|---|
| ERA Journal ID | 2639 |
| Article Category | Article |
| Authors | Reeves, Karyn L. (Author), Forknall, Clayton R. (Author), Kelly, Alison M. (Author), Owen, Kirsty J. (Author), Fanning, Joshua (Author), Hollaway, Grant J. (Author) and Loughman, Robert (Author) |
| Journal Title | Phytopathology: International Journal of the American Phytopathological Society |
| Journal Citation | 110 (10), pp. 1623-1631 |
| Number of Pages | 9 |
| Year | 2020 |
| Publisher | American Phytopathological Society |
| Place of Publication | United States |
| ISSN | 0031-949X |
| 1943-7684 | |
| Digital Object Identifier (DOI) | https://doi.org/10.1094/PHYTO-03-20-0077-R |
| Web Address (URL) | https://apsjournals.apsnet.org/doi/10.1094/PHYTO-03-20-0077-R |
| Abstract | The root lesion nematode (RLN) species Pratylenchus thornei and P. neglectus are widely distributed within cropping regions of Australia and limit grain production. Field experiments conducted to compare the performance of cultivars in the presence of RLN investigate management options for growers by identifying cultivars with resistance, by limiting nematode reproduction, and tolerance, by yielding well in the presence of nematodes. A novel experimental design approach for RLN experiments is proposed where the observed RLN density, measured before sowing, is used to condition the randomization of cultivars to field plots. This approach ensured that all cultivars were exposed to consistent ranges of RLN in order to derive valid assessments of relative cultivar tolerance and resistance. It overcame problems inherent in conventional experimental approaches which can result in biased estimates or the confounding of cultivar yield potential, tolerance and resistance. Using data from a field experiment designed using the new approach and conducted in Formartin, Australia, the analysis of tolerance and resistance was undertaken in a linear mixed model framework. Yield response curves were derived using a random regression approach and curves modelling change in RLN densities between sowing and harvest were derived using splines to model non-linearity. This approach allowed cultivar resistance to be modelled over a consistent range of pre-sowing RLN densities. Groups of cultivars sharing similar resistance levels could be identified. A comparison of slopes of yield response curves of cultivars belonging to the same resistance class identified differing tolerance levels for cultivars with equivalent exposures to both pre-sowing and post-harvest RLN densities. The proposed design and analysis approach allowed tolerance to be established independently of resistance. |
| Keywords | disease control and pest management, experimental design, nematology, population biology, random regression analysis, resistance, tolerance |
| ANZSRC Field of Research 2020 | 300409. Crop and pasture protection (incl. pests, diseases and weeds) |
| Byline Affiliations | Curtin University |
| Department of Agriculture and Fisheries, Queensland | |
| Department of Agriculture, Fisheries and Forestry, Queensland | |
| Agriculture Victoria | |
| Department of Primary Industries and Regional Development, Western Australia | |
| Institution of Origin | University of Southern Queensland |
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