Bayesian segmented regression model for adaptability and stability evaluation of cotton genotypes

The genotype by environment interaction is essential in any plant breeding program. Methodologies allowing the evaluation of nonlinear genotype responses to environmental variation allied to prior beliefs on unknown parameters bring new insights for breeders. In this context, we aimed to propose a B...

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Veröffentlicht in:	Euphytica 2020-02, Vol.216 (2), Article 30
Hauptverfasser:	Nascimento, Moysés, Nascimento, Ana Carolina Campana, e Silva, Fabyano Fonseca, Teodoro, Paulo Eduardo, Azevedo, Camila Ferreira, de Oliveira, Tâmara Rebecca Albuquerque, do Amaral Junior, Antônio Teixeira, Cruz, Cosme Damião, Farias, Francisco José Correia, de Carvalho, Luiz Paulo
Format:	Artikel
Sprache:	eng
Schlagworte:	Adaptability Analysis Bayesian analysis Biomedical and Life Sciences Biotechnology Cotton Cultivars Cultivation Genetic aspects Genotype Genotype & phenotype Genotype-environment interactions Genotypes Gossypium Life Sciences Parameter estimation Plant breeding Plant Genetics and Genomics Plant Pathology Plant Physiology Plant Sciences Regression models Stability analysis
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