Journal
of
Agricultural,
Biological, and
Environmental
Statistics
A journal of applied statistics.
Published by the American Statistical Association and the International
Biometric Society.
|
Journal of Agricultural, Biological, and Environmental Statistics, Vol. 2, No. 3, pp. 245–254
Evaluation of Corn Hybrids Using the Probability
of Outperforming a Check Based on Strip-Test Data
Kent M. Eskridge
This article presents a method for estimating and comparing
experimental corn hybrids, which are candidates for release, based on
their
probabilities of outperforming a check. The method is useful because
it (1) is
easy to understand and
may be conducted using SAS PROC CATMOD, (2) makes use of all available
information from unbalanced data that are likely to arise from hybrid
strip-test trials, (3) makes no
assumptions about the underlying distribution of the trait of
interest, and (4)
may be used to compare test hybrids and evaluate the effects of
environmental
variables on the
test hybrids' probabilities of outperforming a check.
Key Words
Categorical response model; Reliability; Variety trials.
Kent M. Eskridge is Associate Professor, Department of
Biometry, University of Nebraska, Lincoln, NE 68583-0712.
Copyright © 2007 American Statistical Association and the International Biometric
Society.
All rights reserved.
Copyright © 1997 American Statistical Association. All rights
reserved.
