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Boundary-line analysis of field-scale yield response to soil properties

Published online by Cambridge University Press:  24 March 2005

T. M. SHATAR
Affiliation:
Australian Centre for Precision Agriculture, Faculty of Agriculture, Food & Natural Resources, McMillan Building A05, The University of Sydney, Sydney, NSW 2006, Australia
A. B. MCBRATNEY
Affiliation:
Australian Centre for Precision Agriculture, Faculty of Agriculture, Food & Natural Resources, McMillan Building A05, The University of Sydney, Sydney, NSW 2006, Australia

Abstract

An algorithm to fit boundary lines, using cubic smoothing splines, was written and used to identify yield responses to changes in soil properties. This method involves fitting a curve that represents the maximum yield response to each predictor value, which represents the yield potential at each soil property value. Boundary-line yield responses to individual soil properties were found to differ from responses found by fitting curves through the data scatter. The effects of correlated variables appeared to be lessened using the boundary line approach. Multivariate boundary-line models, based on the Law of the Minimum, were found to be useful for the identification of site-specific causes of yield variation and yield potentials. The boundary line was found to be a useful complement to more traditional data analysis techniques.

Type
Research Article
Copyright
© 2004 Cambridge University Press

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