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Statistical Adjustment of Maize Grain Yield for Sub-Optimal Plot Stands

Published online by Cambridge University Press:  03 October 2008

R. E. Kamidi
R. E. Kamidi
Affiliation:
International Agriculture Programs, 231 Gentry Hall, University of Missouri, Columbia, MO 65211, USA
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Summary

Linear covariance analysis of crop yield data using plot stand as the covariate is not satisfactory when the missing plants are eliminated before maturity. This is because the resulting relationship between yield and plot stand is non-linear. In this paper, a transformation of plot yield data to adjust for sub-optimal stands in circumstances involving interplant competition is examined. A biomathematical derivation and interpretation of the proposed model is provided. An experiment involving two varieties of maize (Zea mays) grown at three locations provided the data used to validate the model. Adjusted genotype mean yield values obtained using the proposed exponential transformation were in agreement with observed values.

Type
Research Article
Information
Experimental Agriculture , Volume 31 , Issue 3 , July 1995 , pp. 299 - 306
Copyright
Copyright © Cambridge University Press 1995

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References

Hartley, H. O. (1961). The modified Gauss Newton method for fitting non-linear regression functions by least squares. Tectnometrics 2:269–280.CrossRefGoogle Scholar
Milliken, G. A. & De Bruin, R. L. (1978). A procedure to test hypotheses for non-linear models. Communications in Statistics: Theory and Methods A7(1):65–79.CrossRefGoogle Scholar
SAS Institute (1990). SASISTAT User's Guide, Version 6, Fourth Edition, Volume 2. Cary, NC: SAS Institute Inc.Google Scholar
Willey, R. W. & Heath, S. B. (1969). The quantitative relationship between corn population and yield. Advances in Agronomy 21:281–321.CrossRefGoogle Scholar