A Degree Day Model for Predicting the Emergence of Swamp Dodder in Cranberry

  • Bewick T
  • Binning L
  • Yandell B
N/ACitations
Citations of this article
8Readers
Mendeley users who have this article in their library.

Abstract

A simple model that predicts the onset of swamp dodder ( Cuscuta gronovii Willd. ex R. & S. # CVCGR) emergence was developed. The use of growing degree days (GDD) with low-temperature thresholds (LTT) of 3.3° or 0°C had a better fit as a predictor for the beginning of emergence than either air temperature or soil temperature at a depth of 30 mm alone. This model can be used to time preemergence herbicide applications to coincide with the period of maximum dodder sensitivity, thereby increasing herbicide efficacy.

Cite

CITATION STYLE

APA

Bewick, T. A., Binning, L. K., & Yandell, B. (2022). A Degree Day Model for Predicting the Emergence of Swamp Dodder in Cranberry. Journal of the American Society for Horticultural Science, 113(6), 839–841. https://doi.org/10.21273/jashs.113.6.839

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free