Analysis of Herbage Mass and Herbage Accumulation Rate Using Gompertz Equations

Sigmoid equations are recognized as representative of the pattern of herbage accumulation during a growth period; however, the various equations and their variability among locations and during the growing season have not been well described. The objectives of this study were to find the most suitab...

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Bibliographic Details
Published in:Agronomy journal 2010-05, Vol.102 (3), p.849-857
Main Authors: Barker, David J, Ferraro, Fernanda P, La Guardia Nave, Renata, Sulc, R. Mark, Lopes, Fernanda, Albrecht, Kenneth A
Format: Article
Language:English
Subjects:
Agronomy. Soil science and plant productions
Biological and medical sciences
crop yield
dry matter accumulation
environmental factors
equations
forage
Fundamental and applied biological sciences. Psychology
growing season
mathematical models
model validation
pasture management
pastures
seasonal variation
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Summary:Sigmoid equations are recognized as representative of the pattern of herbage accumulation during a growth period; however, the various equations and their variability among locations and during the growing season have not been well described. The objectives of this study were to find the most suitable, four-parameter sigmoid equations to fit measured herbage mass and to investigate how the patterns of herbage accumulation (i.e., equation parameters) varied with time of year and location. Herbage mass was measured approximately weekly during 11 to 12 growth periods with a rising plate meter (RPM) at three north-central United States locations (Columbus and Coshocton, OH, and Arlington, WI) during 2008, and those data were fit to Gompertz equations. There were four replicates for each growth period. We found predictable relationships between instantaneous herbage accumulation rate (HARi) and herbage mass for each location and date. Time-independent HARi vs. herbage mass curves have potential use for pasture management by defining the optimum herbage mass at which HARi is maximum. The optimum herbage mass varied between 1600 and 4000 kg dry matter (DM) ha–1 depending on location and date. Allowing herbage mass to exceed the optimum point (e.g., delayed harvest), or harvesting to below the optimum point, will reduce the HARi. The HARi–herbage mass curves define a range of herbage mass within which pastures can be managed to achieve high HARi, and maintaining pastures within 90% of the maximum HARi may be a practical target for producers.
ISSN:0002-1962
1435-0645
DOI:10.2134/agronj2009.0381