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Article
Stability Parameters for Comparing Varieties1
First published: 01 January 1966
Citations: 142
1
Contribution from the Iowa Agricultural and Home Economics Experiment Station, Ames, and the Crops Research Divisions, ARS, USDA, cooperating. Journal Paper No. J‐5144 of the Iowa Agr. and Home Econ. Exp. Sta. Project 1335.
Abstract
The model, Yij = μ1 + β1Ij + δij, defines stability parameters that may be used to describe the performance of a variety over a series of environments. Yij is the variety mean of the ith variety at the jth environment, µ1 is the ith variety mean over all environments, β1 is the regression coefficient that measures the response of the ith variety to varying environments, δij is the deviation from regression of the ith variety at the jth environment, and Ij is the environmental index.
The data from two single‐cross diallels and a set of 3‐way crosses were examined to see whether genetic differences could be detected. Genetic differences among lines were indicated for the regression of the lines on the environmental index with no evidence of nonadditive gene action. The estimates of the squared deviations from regression for many hybrids were near zero, whereas extremely large estimates were obtained for other hybrids.
Citing Literature
Number of times cited according to CrossRef: 142
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- Sterling B. Blanche, Steve D. Linscombe, Stability of Rice Grain and Whole Kernel Milling Yield is Affected by Cultivar and Date of Planting, Agronomy Journal, 10.2134/agronj2008.0160x, 101, 3, (522-528), (2009).
- Shree P. Singh, Henry Terán, Carlos German Muñoz‐Perea, Margarita Lema, Marie Dennis, Richard Hayes, Richard Parrott, Kenneth Mulberry, David Fullmer, Jay Smith, Dry Bean Landrace and Cultivar Performance in Stressed and Nonstressed Organic and Conventional Production Systems, Crop Science, 10.2135/cropsci2008.10.0578, 49, 5, (1859-1866), (2009).
- C. B. Cole, D. T. Bowman, F. M. Bourland, W. D. Caldwell, B. T. Campbell, D. E. Fraser, D. B. Weaver, Impact of Heterozygosity and Heterogeneity on Cotton Lint Yield Stability, Crop Science, 10.2135/cropsci2008.08.0450, 49, 5, (1577-1585), (2009).
- Rong‐Cai Yang, Jose Crossa, Paul L. Cornelius, Juan Burgueño, Biplot Analysis of Genotype × Environment Interaction: Proceed with Caution, Crop Science, 10.2135/cropsci2008.11.0665, 49, 5, (1564-1576), (2009).
- Eduardo Hernandez‐Segundo, Flavio Capettini, Richard Trethowan, Maarten Ginkel, Apolinar Mejia, Aquiles Carballo, Jose Crossa, Mateo Vargas, Artemio Balbuena‐Melgarejo, Mega‐Environment Identification for Barley Based on Twenty‐Seven Years of Global Grain Yield Data, Crop Science, 10.2135/cropsci2008.04.0227, 49, 5, (1705-1718), (2009).
- Reza Mohammadi, Ahmed Amri, Analysis of Genotype × Environment Interactions for Grain Yield in Durum Wheat, Crop Science, 10.2135/cropsci2008.09.0537, 49, 4, (1177-1186), (2009).
- Luís Fernando Alliprandini, Claudiomir Abatti, Paulo Fernando Bertagnolli, José Elzevir Cavassim, Howard Lewis Gabe, Andreomar Kurek, Marcos Norio Matsumoto, Marco Antonio Rott Oliveira, Carlos Pitol, Luís Cláudio Prado, Cleiton Steckling, Understanding Soybean Maturity Groups in Brazil: Environment, Cultivar Classification, and Stability, Crop Science, 10.2135/cropsci2008.07.0390, 49, 3, (801-808), (2009).
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- Muhammet Şakiroğlu, E. Charles Brummer, Little Heterosis between Alfalfa Populations Derived from the Midwestern and Southwestern United States, Crop Science, 10.2135/cropsci2006.12.0803, 47, 6, (2364-2371), (2007).
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