Reaction norms‐based approach applied to optimizing recommendations of cotton genotypes

Author:

Peixoto Marco Antônio1ORCID,Coelho Igor Ferreira1,Evangelista Jeniffer Santana Pinto Coelho1,Alves Rodrigo Silva1,Rocha João Romero do Amaral Santos de Carvalho1ORCID,Farias Francisco José Correa2,Carvalho Luiz Paulo2,Teodoro Paulo Eduardo3ORCID,Bhering Leonardo Lopes1ORCID

Affiliation:

1. Departamento de Biologia Geral Universidade Federal de Viçosa (UFV) Viçosa Minas Gerais Brazil

2. Embrapa Algodão Campina Grande Paraíba Brazil

3. Departamento de Estatística e Genética Universidade Federal de Mato Grosso do Sul (UFMT) Chapadão do Sul Mato Grosso do Sul Brazil

Publisher

Wiley

Subject

Agronomy and Crop Science

Reference34 articles.

1. Optimization of Eucalyptus breeding through random regression models allowing for reaction norms in response to environmental gradients;Alves R. S.;Tree Genetics & Genomes,2020

2. Evaluation of genotype x environment interactions in cotton using the method proposed by Eberhart and Russell and reaction norm models;Alves R. S.;Genetics and Molecular Research [Electronic Resource],2017

3. Multi-trait random regression models increase genomic prediction accuracy for a temporal physiological trait derived from high-throughput phenotyping

4. Leveraging breeding values obtained from random regression models for genetic inference of longitudinal traits;Campbell M.;Plant Genome,2019

5. Selection for increased fiber length in cotton progenies from acala and non‐acala types;Carvalho L. P.;Crop Science,2015

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