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 Baihaki, A. Articles by Lambert, J. W. Search for Related Content PubMed Articles by Baihaki, A. Articles by Lambert, J. W. Agricola Articles by Baihaki, A. Articles by Lambert, J. W.

Association of Genotype x Environment Interactions with Performance Level of Soybean Lines in Preliminary Yield Tests¹

This study was conducted to determine the relationship of genotype x environment interaction to yield level (high, medium, or low) of preliminary yield test materials. Forty-four soybean (Glycine max L. Merr.) breeding lines and four cultivars were tested at three locations in each of 2 years and were categorized into high, medium, and low-yielding groups. Genotype x environment interactions were estimated within each group and over all lines. Stability parameter estimates were computed for the lines as an assessment of stability of each group.

About 50% of the total genotype x environment interaction for yield was contributed by the low yielding group, 25% by the medium yielding group and 25 by the high yielding group.

The regression of stability parameter estimates (b values) on mean yield of the lines was positive and highly significant (r² = 0.26). In general, the medium-yielding group of lines was the most stable and the low-yielding group was the least stable.

Selecting the best one-third of the lines in any of the single-environment tests identified 11 of the top 16 lines based on means from all tests. Further, in each environment four or five of the five highest yielding lines (over all environments) were identified. We conclude that single environment preliminary yield tests can be used without serious risk of discarding outstanding lines.

Key Words: Glycine max L. Merr. • Stability • Cultivar testing • Selection

² Former graduate student (now Faculty of Agriculture, Padjadjaran Univ., Bandung, West Java, Indonesia), associate professor and professor of agronomy and plant genetics, Univ. of Minnesota, St. Paul, MN 55108.

Received for publication November 20, 1975.

This article has been cited by other articles:

				R. Mishra, P. S. Baenziger, W. K. Russell, R. A. Graybosch, D. D. Baltensperger, and K. M. Eskridge Crossover Interactions for Grain Yield in Multienvironmental Trials of Winter Wheat Crop Sci., April 25, 2006; 46(3): 1291 - 1298. [Abstract] [Full Text] [PDF]

				T. C. Helms and J. J. Hammond Genetic Gain Equation with Correlated Genotype x Environment Effects Crop Sci., March 27, 2006; 46(3): 1137 - 1142. [Abstract] [Full Text] [PDF]

				T. C. Helms, J. H. Orf, and J. T. Terpstra Resource Allocation to Select for Yield in Soybean Crop Sci., September 1, 2002; 42(5): 1493 - 1497. [Abstract] [Full Text] [PDF]