Quantifying individual variation in reaction norms using random regression models fitted through Legendre polynomials: application in eucalyptus breeding
Author:
Affiliation:
1. Universidade Federal de Viçosa, Brazil
2. Embrapa Café, Brazil; Universidade Federal de Viçosa, Brazil
3. Universidade Federal de Mato Grosso do Sul, Brazil
Publisher
FapUNIFESP (SciELO)
Subject
General Agricultural and Biological Sciences,Materials Science (miscellaneous)
Link
http://www.scielo.br/pdf/brag/v79n4/0006-8705-brag-1678-449920200125.pdf
Reference34 articles.
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2. Multiple-trait BLUP: a suitable strategy for genetic selection of Eucalyptus;Alves R. S;Tree Genetics & Genomes,2018
3. Optimization of Eucalyptus breeding through random regression models allowing for reaction norms in response to environmental gradients;Alves R. S;Tree Genetics & Genomes,2020
4. Genetic parameters for first lactation dairy traits in the Alpine and Saanen goat breeds using a random regression test-day model;Arnal M;Genetics Selection Evolution,2019
5. Effects of data structure on the estimation of covariance functions to describe genotype by environment interactions in a reaction norm model;Calus M. P. L;Genetics Selection Evolution,2004
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