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Lack of Predictable Race Shift in Heterodera glycines-Infested Field Plots
A L Colgrove1, G S Smith1, J A Wrather1
1Department of Plant Microbiology and Pathology, University of Missouri, Columbia 65211.
Plant Disease
|March 2, 2019
Summary
Soybean cyst nematode (Heterodera glycines) race shifts are unpredictable and influenced by sampling time and temperature. This variability makes current race test results unreliable for guiding soybean cultivar selection.
Area of Science:
- Plant Pathology
- Agronomy
- Nematology
Background:
- Soybean cyst nematode (SCN), Heterodera glycines, is a major soybean pest.
- Understanding SCN race dynamics is crucial for effective resistance management.
- Previous studies have indicated potential shifts in SCN populations.
Purpose of the Study:
- To investigate Heterodera glycines race shifts in field populations.
- To evaluate the impact of soybean cultivar resistance and sampling time on SCN race designations.
- To determine the influence of temperature on SCN race identification.
Main Methods:
- Field experiments were conducted at three Missouri locations using paired plots rotated with corn.
- Soybean cultivars with different SCN resistance sources (Peking, PI 88788, PI 437654) were planted.
- Soil samples were collected seasonally, and SCN race tests were performed under varying temperature regimes.
Main Results:
- SCN race shifts were not predictable based on the resistance source of the planted soybean cultivar.
- Variability in female indices (FI) was observed due to fluctuations in female nematode numbers.
- Race designations were significantly influenced by sampling time and the temperature used during race testing.
Conclusions:
- The inherent variability of Heterodera glycines populations in both field and laboratory settings complicates accurate race identification.
- Current race test results may have diminished value for making reliable soybean cultivar recommendations due to population unpredictability.
- Further research is needed to develop more robust methods for assessing SCN virulence and guiding resistance deployment.
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