Genetic parameters and selection of maize cultivars using Bayesian inference in a multi-trait linear model

Genetic parameters and selection of maize cultivars using Bayesian inference in a multi-trait linear model

Variance components must be obtained to estimate genetic parameters and predict breeding values. In studies which take many traits into account, it is reasonable to use the Bayesian approach for the estimation of genetic parameters. The main goal of the present research was not only to consider the...

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Bibliographic Details
Main Authors: Jan Bocianowski, Kamila Nowosad, Piotr Szulc, Anna Tratwal, Ewa Bakinowska, Dariusz Piesik
Format: Article
Language:English
Published: Taylor & Francis Group 2019-08-01
Series:Acta Agriculturae Scandinavica. Section B, Soil and Plant Science
Subjects:
breeding progress
correlations
genetic parameters
integrated control
modelling
zea mays l
Online Access:http://dx.doi.org/10.1080/09064710.2019.1601764

Internet

http://dx.doi.org/10.1080/09064710.2019.1601764

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