Conditional Probability and Integrated Pest Management - Using a Nonlinear Kriging Technique to Predict Infectious Levels of Verticillium dahliae in Michigan Potato Fields

Luke Steere, Noah Rosenzweig, William Kirk

2015

Abstract

A recent survey of potato (Solanum tuberosum) growers in the state of Michigan identified that soilborne pathogens were causing concerns as to whether growers would be able to continue to meet the high demands for marketable potatoes. Of these soilborne pathogens, Verticillium dahliae is one of the most concerning due to its direct correlation with yield decline and its persistence in the soil. Following the survey a statewide soil study was conducted to study soilborne pathogens and their interactions with multiple abiotic and biotic factors. The use of geostatistics and geographical information systems (GIS) were incorporated into this study to assess the spatially distribution of colonies of V. dahliae across a field and to use geostatistical methods to determine V. dahliae inoculum levels throughout the entire field from 20 soil samples. Furthermore, the research team incorporated the use of a nonlinear indicator Kriging method to create conditional probability maps of soilborne pathogen inoculum levels and predict where inoculum levels would be high enough to result in infection. The methods presented in this paper evaluated conditional probability mapping of soilborne plant pathogens for the potential to become a practical crop management tool for commercial potato growers.

References

  1. Ebben, M. H., Gandy, D. G. & Spencer, D. 1983. Toxicity of methyl bromide to soil-borne fungi. Plant Pathology, 32, 429-433.
  2. Eldeiry, A. A. & Garcia, L. A. 2013. Using Nonlinear Geostatistical Models in Estimating the Impact of Salinity on Crop Yield Variability. Soil Science Society of America Journal, 77, 1795-1805.
  3. Goovaerts, P. 1994. Comparative performance of indicator algorithms for modeling conditional probability distribution functions. Mathematical Geology, 26, 389-411.
  4. Goovaerts, P. 1997. Geostatistics for natural resources evaluation, Oxford university press.
  5. Hayat, R., Ali, S., Amara, U., Khalid, R. & Ahmed, I. 2010. Soil beneficial bacteria and their role in plant growth promotion: a review. Annals of Microbiology, 60, 579-598.
  6. Journel, A. G. 1983. Nonparametric estimation of spatial distributions. Journal of The International Association For Mathematical Geology, 15, 445-468.
  7. Kabir, Z., Bhat, R. & Subbarao, K. 2004. Comparison of media for recovery of Verticillium dahliae from soil. Plant Disease, 88, 49-55.
  8. Kerry, R., Goovaerts, P., Rawlins, B. G. & Marchant, B. P. 2012. Disaggregation of legacy soil data using area to point kriging for mapping soil organic carbon at the regional scale. Geoderma, 170, 347-358.
  9. Kravchenko, A. & Bullock, D. G. 1999. A comparative study of interpolation methods for mapping soil properties. Agronomy Journal, 91, 393-400.
  10. Martin, M., Riedel, R. & Rowe, R. 1982. Verticillium dahliae and Pratylenchus penetrans: Interactions in the Early Dying Complex of Potato in Ohio. Phytopathology, 72, 640-644.
  11. Mueller, T., Pusuluri, N., Mathias, K., Cornelius, P., Barnhisel, R. & Shearer, S. 2004. Map quality for ordinary Kriging and inverse distance weighted interpolation. Soil Science Society of America Journal, 68, 2042-2047.
  12. Nicot, P. & Rouse, D. 1987a. Precision and bias of three quantitative soil assays for Verticillium dahliae. Phytopathology, 77, 875-881.
  13. Nicot, P. & Rouse, D. 1987b. Relationship between soil inoculum density of Verticillium dahliae and systemic colonization of potato stems in commercial fields over time. Phytopathology, 77, 1346-1355.
  14. Powelson, M. L. & Rowe, R. C. 1993. Biology and management of early dying of potatoes. Annual Review of Phytopathology, 31, 111-126.
  15. Ramos, P., Monego, M. & Carvalho, S. 2008. Spatial distribution of a sewage outfall plume observed with an AUV. In Oceans 2008: Proceedings of the MTSIEEE Conference, Quebec City, QC, Canada, 2008. 15-18. IEEE.
  16. Robinson, T. & Metternicht, G. 2006. Testing the performance of spatial interpolation techniques for mapping soil properties. Computers And Electronics in Agriculture, 50, 97-108.
  17. Smith, J. L., Halvorson, J. J. & Papendick, R. I. 1993. Using multiple-variable indicator kriging for evaluating soil quality. Soil Science Society of America Journal, 57, 743-749.
  18. Solow, A. R. 1986. Mapping by simple indicator kriging. Mathematical Geology, 18, 335-352.
  19. Stevenson, W. R., Loria, R., Franc, G. D. & Weingartner, D. P. 2001. Compendium of potato diseases, American Phytopathological Society St. Paul, MN.
  20. Thomas, W. 1996. Methyl bromide: effective pest management tool and environmental threat. Journal of Nematology, 28, 586.
  21. Wilhelm, S. & Paulus, A. O. 1980. How soil fumigation benefits the California strawberry industry. Plant Disease, 64, 264-270.
  22. Wilhelm, S., Storkan, R. & Sagen, J. 1961. Verticillium wilt of strawberry controlled by fumigation of soil with chloropicrin and chloropicrin-methyl bromide mixtures. Phytopathology, 51, 744-&.
  23. Yost, R., Uehara, G. & Fox, R. 1982. Geostatistical analysis of soil chemical properties of large land areas. II. Kriging. Soil Science Society of America journal, 46, 1033-1037.
Download


Paper Citation


in Harvard Style

Steere L., Rosenzweig N. and Kirk W. (2015). Conditional Probability and Integrated Pest Management - Using a Nonlinear Kriging Technique to Predict Infectious Levels of Verticillium dahliae in Michigan Potato Fields . In Proceedings of the 1st International Conference on Geographical Information Systems Theory, Applications and Management - Volume 1: GISTAM, ISBN 978-989-758-099-4, pages 195-200. DOI: 10.5220/0005349501950200


in Bibtex Style

@conference{gistam15,
author={Luke Steere and Noah Rosenzweig and William Kirk},
title={Conditional Probability and Integrated Pest Management - Using a Nonlinear Kriging Technique to Predict Infectious Levels of Verticillium dahliae in Michigan Potato Fields},
booktitle={Proceedings of the 1st International Conference on Geographical Information Systems Theory, Applications and Management - Volume 1: GISTAM,},
year={2015},
pages={195-200},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005349501950200},
isbn={978-989-758-099-4},
}


in EndNote Style

TY - CONF
JO - Proceedings of the 1st International Conference on Geographical Information Systems Theory, Applications and Management - Volume 1: GISTAM,
TI - Conditional Probability and Integrated Pest Management - Using a Nonlinear Kriging Technique to Predict Infectious Levels of Verticillium dahliae in Michigan Potato Fields
SN - 978-989-758-099-4
AU - Steere L.
AU - Rosenzweig N.
AU - Kirk W.
PY - 2015
SP - 195
EP - 200
DO - 10.5220/0005349501950200