African Journal of
Agricultural Research

  • Abbreviation: Afr. J. Agric. Res.
  • Language: English
  • ISSN: 1991-637X
  • DOI: 10.5897/AJAR
  • Start Year: 2006
  • Published Articles: 6691

Review

Evolution of methodology for the study of adaptability and stability in cultivated species

Leonardo Castelo Branco Carvalho
  • Leonardo Castelo Branco Carvalho
  • Escola Superior de Agricultura "Luiz de Queiroz" Universidade de São Paulo, Avenida Pádua Dias,11 - Cx. Postal 9, 13418-900, Piracicaba, SP, Brazil.
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Kaesel Jackson Damasceno-Silva
  • Kaesel Jackson Damasceno-Silva
  • Embrapa Meio Norte, Avenida Duque de Caxias, 5650, Bairro Buenos Aires, 64,006-220, Teresina, PI, Brazil.
  • Google Scholar
Maurisrael de Moura Rocha
  • Maurisrael de Moura Rocha
  • Embrapa Meio Norte, Avenida Duque de Caxias, 5650, Bairro Buenos Aires, 64,006-220, Teresina, PI, Brazil.
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Giancarlo Conde Xavier Oliveira
  • Giancarlo Conde Xavier Oliveira
  • Escola Superior de Agricultura "Luiz de Queiroz" Universidade de São Paulo, Avenida Pádua Dias,11 - Cx. Postal 9, 13418-900, Piracicaba, SP, Brazil.
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  •  Received: 31 October 2015
  •  Accepted: 10 February 2016
  •  Published: 24 March 2016

Abstract

The GxE interaction only became widely discussed from evolutionary studies and evaluations of the causes of behavioral changes of species cultivated in environments. In the last 60 years, several methodologies for the study of adaptability and stability of genotypes in multiple environments trials were developed in order to assist the breeder's choice regarding which genotypes are more stable and which are the most suitable for the crops in the most diverse environments. The methods that use linear regression analysis were the first to be used in a general way by breeders, followed by multivariate analysis methods and mixed models. The need to identify the genetic and environmental causes that are behind the GxE interaction led to the development of new models that include the use of covariates and which can also include both multivariate methods and mixed modeling. However, further studies are needed to identify the causes of GxE interaction as well as for the more accurate measurement of its effects on phenotypic expression of varieties in competition trials carried out in genetic breeding programs.

Key words: Adaptability, stability, GxE interaction, genetic breeding, covariates.