Agricultural & Environmental Letters (Mar 2017)

Modeling Performance of Plant Growth Regulators

  • W. C. Kreuser,
  • J. R. Young,
  • M. D. Richardson

DOI
https://doi.org/10.2134/ael2017.01.0001
Journal volume & issue
Vol. 2, no. 1

Abstract

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Growing degree day (GDD) models can predict the performance of plant growth regulators (PGRs) applied to creeping bentgrass ( L.). The goal of this letter is to describe experimental design strategies and modeling approaches to create PGR models for different PGRs, application rates, and turf species. Results from testing the models indicate that clipping yield should be measured until the growth response has diminished. This is in contrast to reapplication of a PGR at preselected intervals. During modeling, inclusion of an amplitude-dampening coefficient in the sinewave model allows the PGR effect to dissipate with time.