Prediction of stem rust infection favorability, by means of degree-hour wetness duration, for perennial ryegrass seed crops.

@article{Pfender2003PredictionOS,
  title={Prediction of stem rust infection favorability, by means of degree-hour wetness duration, for perennial ryegrass seed crops.},
  author={W. Pfender},
  journal={Phytopathology},
  year={2003},
  volume={93 4},
  pages={
          467-77
        }
}
  • W. Pfender
  • Published 2003
  • Biology, Medicine
  • Phytopathology
ABSTRACT A weather-based infection model for stem rust of perennial ryegrass seed crops was developed and tested using data from inoculated bioassay plants in a field environment with monitored weather. The model describes favorability of daily weather as a proportion (0.0 to 1.0) of the maximum possible infection level set by host and inoculum. Moisture duration and temperature are combined in one factor as wet degree-hours (DH(w)) (i.e., degree-hours > 2.0 degrees C summed only over time… Expand
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References

SHOWING 1-10 OF 25 REFERENCES
A temperature-based model for latent-period duration in stem rust of perennial ryegrass and tall fescue.
Light, Temperature, and Moisture Effects on Apothecium Production of Sclerotinia sclerotiorum.
Neural network classification of tan spot and stagonospora blotch infection periods in a wheat field environment.
...
1
2
3
...