Login
Toggle navigation
Home
ICPA
Conference
Abstract Management
Abstract Topic Groups
Author Instructions
Registration
Registration Information
16th ICPA - Conference Registration
Registrants Map
Hotel and Travel Information
Tour
Workshops
Exhibit Hall Map
Sponsors
Conference Program
General Outline
Oral Program
Poster Program
Student Poster Awards
Keynote
Plenary Session
Awards
Photos
Conference Survey
Proceedings
Leadership
ISPA Leadership
Officers
Past Presidents
Officer Responsibilities
Country Representatives
Communities
Community Guidance
On-Farm Experimentation
Nitrogen
Latin America
Economics
African Association for Precision Agriculture
Membership
ISPA Member Benefits
Membership Form
Events
ISPA Events
ACPA
ACPA Proceedings
AfCPA
AfCPA Proceedings
CLAP
CLAP Proceedings
ECPA
ECPA Proceedings
ICPA
ISPA Webinars
OFE
AAPA
Latin American
Robotics and Automation Symposium
Event Overview
Registration
Program
Venue
Speakers
About ISPA
Newsletters
History
Jobs
Precision Ag Definition
Agriculture Course Database Submission
Publications
ICPA Proceedings
ECPA Proceedings
Contact Us
Members
Suggestion Form
Conference
Abstract Management
Abstract Topic Groups
Author Instructions
Registration
Registration Information
16th ICPA - Conference Registration
Registrants Map
Hotel and Travel Information
Tour
Workshops
Exhibit Hall Map
Sponsors
Conference Program
General Outline
Oral Program
Poster Program
Student Poster Awards
Keynote
Plenary Session
Awards
Photos
Conference Survey
Proceedings
Proceedings
Search
Authors
Topics
Years
Types
Find matching any:
Reset
» Add more topics
Add filter to result:
Disease Scouting For Aerial Blight Based On Logical Areas Of Collection In Soybean Fields Rotated With Rice
1
C. S. Rothrock,
2
W. S. Monfort,
3
T. W. Griffin,
4
T. N. Spurlock
1. University of Arkansas
2. Clemson University
3. Griffin Consulting
4. University of Arkansas Division of Agriculture
Rhizoctonia solani
AG1-IA causes sheath blight in rice and aerial blight in soybean. In Arkansas, rice and soybean rotations facilitate a continuous source of
R. solani
AG1-IA inoculum from one year to the next. Aerial blight is a two stage disease where colonization of the plant occurs during the early vegetative growth stages and aerial blight symptoms occur during the reproductive growth stages after canopy closure. At canopy closure, aerial blight becomes problematic because the signs and symptoms of disease occur underneath the canopy and are not visible without extensive scouting. Disease develops rapidly and spreads plant to plant through the canopy and detection late in the reproductive growth stages is often too late for a fungicide application to be of economic value. Spatial analyses were used to determine the spatial aggregation of soil inoculum potential and plant colonization. Models indicated soil inoculum potential and plant recovery of
R. solani
AG1-IA was controlled by the levee system from the previous year and elevation. Dissemination of
R. solani
AG1-IA as floating residue or sclerotia appears to be important in distribution of inoculum in a rice field flooded much of the year in addition to this pathogen being soilborne. The inoculum of the pathogen aggregates in the collection areas, over winters and is available to cause disease in the next year’s soybean crop at these positions. Disease scouting at or near areas in a soybean field that correspond to “logical areas of collection” from the levee system utilized the year before should result in a more efficient scouting methodology to detect and manage aerial blight. Subsequently, work has been done to determine what constitutes a logical area of collection using LiDAR elevation data (provided by USGS) for much of the agricultural region of Arkansas. In combination with LiDAR, GPS levee maps were quantified spatially (m/m
2
) using the line density tool in ArcGIS 10.1. Fields that were in levee rice the previous year and had sheath blight were assigned 5000 random points and predictive modeling based on line density and elevation (or both) using geographically weighted regression in ArcGIS 10.1 used to identify areas where collection of
R. solani
AG1-IA was most likely. After areas were identified in the fields, straight line verification strips were arbitrarily placed in the fields and disease assessments will be made after canopy closure on random points within the strips to determine disease severity at locations both identified as logical areas of collection and not. Spatial statistics and predictive modeling of logical areas of collection will be a valuable tool in making disease scouting more efficient and efficacious.
Keyword
: Rhizoctonia solani aerial blight soybean
C. S. Rothrock
W. S. Monfort
T. W. Griffin
T. N. Spurlock
Precision Crop Protection
Poster
2014
Download paper