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 Sneller, C. H. Articles by Dombek, D. Search for Related Content PubMed Articles by Sneller, C. H. Articles by Dombek, D. Agricola Articles by Sneller, C. H. Articles by Dombek, D.

Repeatability of Yield Stability Statistics in Soybean

Dep. of Agronomy, Univ. of Arkansas, Fayetteville, AR 72701

^* Corresponding author (E-mail: csneller{at}comp.uark.edu).

There are many statistics to assess cultivar yield stability: some deal with genotype x environment interaction (GEI) patterns (b_i, and interaction principal component scores), some with GEI noise (s²_di), some with total GEI sum of squares (
), and others with rank changes [S(1)]. Our objective was to assess the repeatability in soybean [Glycine max (L.) Merr.] of different yield stability statistics. We evaluated nine statistics derived from additive main effects and mnitiplicative interaction (AMMI) analyses, regression coefficients from analyses using either yield-based or plant height-based environmental indices, as well as s²_di,
, S(1). Yield data were from Arkansas trials of maturity group V cultivars from 1987 to 1994. Stability analyses were warranted because GEI was significant, partitioning of GEl sum of squares by AMMI or regression techniques was generally significant, and all stability statistics found significant differences among the cultivars. The AMMI-derived stability statistics produced information on cultivar stability that was similar to that produced by s²_di and
. The repeatability of cultivar rankings for s²_di,
, S(1), and most AMMI statistics, estimated in different single- or two-year periods were low, indicating that these statistics would not be useful to breeders or growers selecting for stability. The repeatability of two regression coeffacient statistics and one AMMI-derived statistic were moderate, particularly when estimated over environments from 2 yr. Each of the three statistics relates to a different concept of stability and may be useful to growers and breeders attempting to select cultivars with predictable yield across environments.

Received for publication April 12, 1996.

This article has been cited by other articles:

				A. T. W. Kraakman, R. E. Niks, P. M. M. M. Van den Berg, P. Stam, and F. A. Van Eeuwijk Linkage Disequilibrium Mapping of Yield and Yield Stability in Modern Spring Barley Cultivars Genetics, September 1, 2004; 168(1): 435 - 446. [Abstract] [Full Text] [PDF]

				T. Ishibashi, C. H. Sneller, and G. Shannon Soybean Yield Potential and Phenology in the Ultra-Short-Season Production System Agron. J., July 1, 2003; 95(4): 1082 - 1087. [Abstract] [Full Text] [PDF]