loading
Papers

Research.Publish.Connect.

Paper

Paper Unlock

Authors: Luke Steere ; Noah Rosenzweig and William Kirk

Affiliation: Michigan State University, United States

ISBN: 978-989-758-099-4

Keyword(s): Geostatistics, Indicator Kriging, Potato Early Die Complex, Potato Soilborne Disease.

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 p athogen 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. (More)

PDF ImageFull Text

Download
CC BY-NC-ND 4.0

Sign In Guest: Register as new SciTePress user now for free.

Sign In SciTePress user: please login.

PDF ImageMy Papers

You are not signed in, therefore limits apply to your IP address 18.205.60.226

In the current month:
Recent papers: 100 available of 100 total
2+ years older papers: 200 available of 200 total

Paper citation in several formats:
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

@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},
}

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

Login or register to post comments.

Comments on this Paper: Be the first to review this paper.