Evaluation of Corn Hybrids Using the Probability of Outperforming a Check Based on Strip-Test Data

Research output: Contribution to journalArticle

Abstract

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.

Original languageEnglish (US)
Pages (from-to)245-254
Number of pages10
JournalJournal of Agricultural, Biological, and Environmental Statistics
Volume2
Issue number3
DOIs
StatePublished - Sep 1997

Fingerprint

Corn
Zea mays
Strip
maize
corn
Evaluation
testing
Unbalanced Data
Likely
environmental factors
evaluation
test
Evaluate
methodology
method

Keywords

  • Categorical response model
  • Reliability
  • Variety trials

ASJC Scopus subject areas

  • Statistics and Probability
  • Environmental Science(all)
  • Agricultural and Biological Sciences (miscellaneous)
  • Agricultural and Biological Sciences(all)
  • Statistics, Probability and Uncertainty
  • Applied Mathematics

Cite this

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