HOME HELP FEEDBACK SUBSCRIPTIONS ARCHIVE SEARCH TABLE OF CONTENTS		QUICK SEARCH:   [advanced] Author: Keyword(s): Year:  Vol:  Page:

This Article Full Text (PDF) Alert me when this article is cited Alert me if a correction is posted Services Similar articles in this journal Alert me to new issues of the journal Download to citation manager Citing Articles Citing Articles via HighWire Citing Articles via Google Scholar Google Scholar Articles by Lu, H. Y. Search for Related Content PubMed Articles by Lu, H. Y. Agricola Articles by Lu, H. Y.

PC-SAS Program for Estimating Hühn's Nonparametric Stability Statistics

Dep. of Agronomy, Taiwan Agric. Res. Institute, Wufeng, Taichung Hsien, Taiwan 41301, Republic of China

^* Corresponding author.

A program written in the SAS language for personal computers to estimate Hühn's two nonparametric stability statistics is presented. Nonparametric methods proposed by Hühn in the 1970s are based on the ranks of genotypes in each environment and use the idea of homeostasis as a measure of stability. A stable genotype shows similar rankings across environments. Nonparametric stability statistics provide a viable alternative to existing parametric measures based on absolute data. They require no statistical assumptions about the distribution of the phenotypic values and are easy to use. Addition or deletion of one or a few observations is not as likely to cause great variation in the estimates as would be the case for parametric stability measures. For many applications (e.g., selection in breeding and testing programs), the rank orders of genotypes are the most essential information. The program deals with a two-way table with K genotypes and N environments. The output contains two main features: (i) corrected values and their ranks of genotypes within each environment, and (ii) two nonparametric stability estimates and their test of significance. From the output, one may exmnine the rankings of genotypes in each environment and look for stability differences among genotypes. This program should make practical the more frequent use of nonparametric stability statistics to investigate genotype x environment interactions in agricultural research.

Received for publication October 14, 1994.

This article has been cited by other articles:

				N. Sabaghnia, H. Dehghani, and S. H. Sabaghpour Nonparametric Methods for Interpreting Genotype x Environment Interaction of Lentil Genotypes Crop Sci., March 27, 2006; 46(3): 1100 - 1106. [Abstract] [Full Text] [PDF]