Joint Regression Analysis applied to genotype stability evaluation over years
Amílcar Oliveira
amilcar.oliveira@uab.ptUniversidade Aberta, and Center of Statistic and Applications, University of Lisbon, Portugal (Portugal)
https://orcid.org/0000-0001-5500-7742
Teresa Oliveira
Universidade Aberta, and Center of Statistic and Applications, University of Lisbon, Portugal (Portugal)
Stanisław Mejza
Poznan University of Life Sciences, Poland (Poland)
João T. Mexia
Nova University of Lisbon, Portugal (Portugal)
https://orcid.org/0000-0001-8620-0721
Abstract
Most genotype differences connected with yield stability are due to genotype environment interaction. The presence and dimension of this interaction are the factors that determine the performance of genotypes in distinct environments. The environmental factors, like annual rainfall, temperature, diseases or soil fertility, can only explain part of this interaction. Many statistical tools have been developed with the aim to explain the information contained in the GE interaction data matrix. In our work we use the Joint Regression Analysis (JRA), the Zig-Zag Algorithm to estimate the regression coefficients and the multiple comparison tests of Scheffé, Tukey and Bonferroni. We point out not just the limitations of the JRA when used year by year, but also genotype selection advantage from general JRA over years. Data of the Portuguese Plant Breeding Board were used to carry the year and over years analyses of yielding stability of 22 different genotypes of oat (Avena sativa L.) at six different locations in the years 2002, 2003 and 2004.
Keywords:
genotype stability, joint regression analysis, oatReferences
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Authors
Amílcar Oliveiraamilcar.oliveira@uab.pt
Universidade Aberta, and Center of Statistic and Applications, University of Lisbon, Portugal Portugal
https://orcid.org/0000-0001-5500-7742
Authors
Teresa OliveiraUniversidade Aberta, and Center of Statistic and Applications, University of Lisbon, Portugal Portugal
Authors
Stanisław MejzaPoznan University of Life Sciences, Poland Poland
Authors
João T. MexiaNova University of Lisbon, Portugal Portugal
https://orcid.org/0000-0001-8620-0721
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Copyright (c) 2008 Amílcar Oliveira, Teresa Oliveira, Stanisław Mejza, João T. Mexia
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