Modeling Performance of Plant Growth Regulators

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

Research output: Contribution to journalLetterpeer-review

3 Scopus citations

Abstract

Core Ideas: Growing degree day models continue to predict plant growth regulator performance in turfgrass. Data collection should occur until the growth response has dissipated, not based on predefined intervals. Including a dampening coefficient in the sinewave models allows the clipping yield effect to decay with time. Adding a decay coefficient allows sinewave models to fit datasets where a rebound growth phase did not occur. Growing degree day (GDD) models can predict the performance of plant growth regulators (PGRs) applied to creeping bentgrass (Agrostis stolonifera 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.

Original languageEnglish
Pages (from-to)1-4
Number of pages4
JournalAgricultural and Environmental Letters
Volume2
Issue number1
DOIs
StatePublished - 2017

Fingerprint Dive into the research topics of 'Modeling Performance of Plant Growth Regulators'. Together they form a unique fingerprint.

Cite this