A test for choice between hyperbolic and Sigmoidal models of crop yield response to weed density

The form of a crop yield-weed density response function influences control thresholds and risk management strategies. A choice of model test is introduced for evaluating whether yield response to weed density is sigmoidal or hyperbolic. A null hypothesis of hyperbolic yield response is evaluated in...

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Veröffentlicht in:Journal of agricultural, biological, and environmental statistics biological, and environmental statistics, 1996-03, Vol.1 (1), p.97-106
Hauptverfasser: Swinton, S.M. (Michigan State University, East Lansing, MI.), Lyford, C.P
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creator Swinton, S.M. (Michigan State University, East Lansing, MI.)
Lyford, C.P
description The form of a crop yield-weed density response function influences control thresholds and risk management strategies. A choice of model test is introduced for evaluating whether yield response to weed density is sigmoidal or hyperbolic. A null hypothesis of hyperbolic yield response is evaluated in a Monte Carlo simulation of sigmoidal yield functions. The analysis considers two probability distributions of weed density and varying degrees of functional curvature, data variability, and sample size. The results suggest that, given empirical levels of functional curvature and data variability, sample sizes larger than the norm in weed science are required to reject the null hypothesis of hyperbolic response.
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source Jstor Complete Legacy; JSTOR Mathematics & Statistics
subjects Agricultural economics
Crop density
CROP YIELD
Curvature
DECISION MAKING
DESHERBAGE
ESCARDA
Mathematical independent variables
METHODE STATISTIQUE
METODOS ESTADISTICOS
MONTE CARLO METHOD
Null hypothesis
Parametric models
PRISE DE DECISION
RENDEMENT
RENDEMENT DES CULTURES
RENDIMIENTO
RENDIMIENTO DE CULTIVOS
Sample size
Soybeans
STATISTICAL METHODS
TOMA DE DECISIONES
WEED CONTROL
Weeds
YIELD RESPONSE FUNCTIONS
YIELDS
title A test for choice between hyperbolic and Sigmoidal models of crop yield response to weed density
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