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 Lin, C. S. Articles by Lefkovitch, L. P. Search for Related Content PubMed Articles by Lin, C. S. Articles by Lefkovitch, L. P. Agricola Articles by Lin, C. S. Articles by Lefkovitch, L. P.

Stability Analysis: Where Do We Stand?¹

To clarify the apparent confusion arising from the diversity of published stability statistics, and the relationship of these with the clustering of genotypes for similarity of response to environments, the interrelationship of nine stability statistics and nine similarity measures are investigated. The stability statistics fall into four groups depending on whether they are based on the deviations from the average genotype effect or on the genotype x environment (GE) term, and whether or not they incorporate a regression model on an environmental index. These groups of stability statistics are shown to be related to three concepts: A genotype may be considered to be stable (i) if its among-environment variance is small, (ii) if its response to environments is parallel to the mean response of all genotypes in the trial, or (iii) if the residual mean square from a regression model on the environmental index is small. Unfortunately, these three concepts represent different aspects of stability and do not always provide a complete picture of the response. In the alternative approach of cluster analysis, the similarity measures define complete similarity in three different ways: i) equality of genotype's response across locations, ii) equality of all within location differences, and iii) equality of all within location ratios. The advantage of the nonparametric approach is that a cultivar's response characteristics can be assessed qualitatively, without the need for a mathematical characterization.

Key Words: Genotype x environment interaction • Cluster analysis • Cultivar assessment • Stability parameter

² Research scientists, Engineering and Statistical Res. Centre, Agric. Canada.

Received for publication November 14, 1985.

This article has been cited by other articles:

				A. K. Joshi, G. Ortiz-Ferrara, J. Crossa, G. Singh, G. Alvarado, M. R. Bhatta, E. Duveiller, R. C. Sharma, D. B. Pandit, A. B. Siddique, et al. Associations of Environments in South Asia Based on Spot Blotch Disease of Wheat Caused by Cochliobolus sativus Crop Sci., May 31, 2007; 47(3): 1071 - 1081. [Abstract] [Full Text] [PDF]

				X.-M. Fan, M. S. Kang, H. Chen, Y. Zhang, J. Tan, and C. Xu Yield Stability of Maize Hybrids Evaluated in Multi-Environment Trials in Yunnan, China Agron. J., January 1, 2007; 99(1): 220 - 228. [Abstract] [Full Text] [PDF]

				P. S. Baenziger, W. K. Russell, G. L. Graef, and B. T. Campbell Improving Lives: 50 Years of Crop Breeding, Genetics, and Cytology (C-1) Crop Sci., September 8, 2006; 46(5): 2230 - 2244. [Abstract] [Full Text] [PDF]

				H. Riday and E. C. Brummer Persistence and Yield Stability of Intersubspecific Alfalfa Hybrids Crop Sci., March 27, 2006; 46(3): 1058 - 1063. [Abstract] [Full Text] [PDF]

				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]

				E. A. Lee, A. Singh, M. J. Ash, and B. Good Use of Sister-Lines and the Performance of Modified Single-Cross Maize Hybrids Crop Sci., January 24, 2006; 46(1): 312 - 320. [Abstract] [Full Text] [PDF]

				R. G. Fuentes, H. R. Mickelson, R. H. Busch, R. Dill-Macky, C. K. Evans, W. G. Thompson, J. V. Wiersma, W. Xie, Y. Dong, and J. A. Anderson Resource Allocation and Cultivar Stability in Breeding for Fusarium Head Blight Resistance in Spring Wheat Crop Sci., August 26, 2005; 45(5): 1965 - 1972. [Abstract] [Full Text] [PDF]

				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]

				W. W. Wilhelm and C. S. Wortmann Tillage and Rotation Interactions for Corn and Soybean Grain Yield as Affected by Precipitation and Air Temperature Agron. J., March 1, 2004; 96(2): 425 - 432. [Abstract] [Full Text] [PDF]

				B. T. Campbell, P. S. Baenziger, K. M. Eskridge, H. Budak, N. A. Streck, A. Weiss, K. S. Gill, and M. Erayman Using Environmental Covariates to Explain Genotype x Environment and QTL x Environment Interactions for Agronomic Traits on Chromosome 3A of Wheat Crop Sci., March 1, 2004; 44(2): 620 - 627. [Abstract] [Full Text] [PDF]

				E. A. Lee, T. K. Doerksen, and L. W. Kannenberg Genetic Components of Yield Stability in Maize Breeding Populations Crop Sci., November 1, 2003; 43(6): 2018 - 2027. [Abstract] [Full Text] [PDF]

				B. T. Campbell, P. S. Baenziger, K. S. Gill, K. M. Eskridge, H. Budak, M. Erayman, I. Dweikat, and Y. Yen Identification of QTLs and Environmental Interactions Associated with Agronomic Traits on Chromosome 3A of Wheat Crop Sci., July 1, 2003; 43(4): 1493 - 1505. [Abstract] [Full Text] [PDF]

				K. V. Pixley and M. S. Bjarnason Stability of Grain Yield, Endosperm Modification, and Protein Quality of Hybrid and Open-Pollinated Quality Protein Maize (QPM) Cultivars Crop Sci., November 1, 2002; 42(6): 1882 - 1890. [Abstract] [Full Text] [PDF]

				B. L. Waldron, K. H. Asay, and K. B. Jensen Stability and Yield of Cool-Season Pasture Grass Species Grown at Five Irrigation Levels Crop Sci., May 1, 2002; 42(3): 890 - 896. [Abstract] [Full Text] [PDF]

				A. Collaku, S. A. Harrison, P. L. Finney, and D. A. Van Sanford Clustering of Environments of Southern Soft Red Winter Wheat Region for Milling and Baking Quality Attributes Crop Sci., January 1, 2002; 42(1): 58 - 63. [Abstract] [Full Text] [PDF]

				H.-P. Piepho A Mixed-Model Approach to Mapping Quantitative Trait Loci in Barley on the Basis of Multiple Environment Data Genetics, December 1, 2000; 156(4): 2043 - 2050. [Abstract] [Full Text]

				F. Jeutong, K.M. Eskridge, W.J. Waltman, and O.S. Smith Comparison of Bioclimatic Indices for Prediction of Maize Yields Crop Sci., November 1, 2000; 40(6): 1612 - 1617. [Abstract] [Full Text] [PDF]

				M. A. Hussein and A.H. Aastveit Sasg estab: A sas program for computing genotype environment stability statistics Agron. J., May 1, 2000; 92(3): 454 - 459. [Abstract] [Full Text]