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 Beaver, J. S. Articles by Johnson, R. R. Search for Related Content PubMed Articles by Beaver, J. S. Articles by Johnson, R. R. Agricola Articles by Beaver, J. S. Articles by Johnson, R. R.

Yield Stability of Determinate and Indeterminate Soybeans Adapted to the Northern United States¹

Stability of performance of determinate and indeterminate soybean [Glycine max (L). Merr.]genotypes was compared using regression on environmental means. Seed yields from portions of the 1976 to 1978 USDA Uniform Group III Soybean Test and seed yields from eight Illinois environments were analyzed in four separate joint regression analyses. Regression explained a significant portion, but not all, of the genotype x environment interaction. The Group III indeterminate cultivars in this study possessed desirable stability characteristics, having average or greater than average mean seed yields, average seed yield response to environments of varying levels of productivity, and minimum deviations from regression. Mean seed yields of some determinate genotypes were as great as the best performing indeterminate cultivars. The determinate genotypes also showed an average seed yield response to environments of varying levels of productivity. However, deviations from regression for most determinate genotypes were significant, indicating that the determinate growth habit might possess a less predictable performance when grown in the northern soybean growing region. Repeatability estimates of values of the regression coefficients and the deviations from regression across joint regression analyses were significant, suggesting that the selection of soybean genotypes with more stable performances might be possible.

Key Words: Glycine max (L.) Merr. • Genotype x environment interaction • Joint regression analysis • Yield • Repeatability • dt₁ gene

² Research associate and associate professor, Dep. of Agronomy, Univ. of Illinois, Urbana. IL 61801.

Received for publication July 16, 1980.

This article has been cited by other articles:

				S. Seiter, C. E. Altemose, and M. H. Davis Forage Soybean Yield and Quality Responses to Plant Density and Row Distance Agron. J., July 1, 2004; 96(4): 966 - 970. [Abstract] [Full Text] [PDF]

				L. Kilgore-Norquest and C.H. Sneller Effect of Stem Termination on Soybean Traits in Southern U.S. Production Systems Crop Sci., January 1, 2000; 40(1): 83 - 90. [Abstract] [Full Text]