A new approach fits multivariate genomic prediction models efficiently
Abstract Background Fast, memory-efficient, and reliable algorithms for estimating genomic estimated breeding values (GEBV) for multiple traits and environments are needed to make timely decisions in breeding. Multivariate genomic prediction exploits genetic correlations between traits and environme...
Main Authors: | Alencar Xavier, David Habier |
---|---|
Format: | Article |
Language: | deu |
Published: |
BMC
2022-06-01
|
Series: | Genetics Selection Evolution |
Online Access: | https://doi.org/10.1186/s12711-022-00730-w |
Similar Items
-
MULTIVARIABLE LIMIT CYCLE PREDICTION: A NEW APPROACH.
by: Kouvaritakis, B, et al.
Published: (1982) -
Accuracies of univariate and multivariate genomic prediction models in African cassava
by: Uche Godfrey Okeke, et al.
Published: (2017-12-01) -
Influence of segment length on the fitness of multivariate crash prediction models applied to a Brazilian multilane highway
by: Philippe Barbosa Silva, et al.
Published: (2021-12-01) -
A New Goodness of Fit Test for Multivariate Normality and Comparative Simulation Study
by: Jurgita Arnastauskaitė, et al.
Published: (2021-11-01) -
Simultaneous fitting of genomic-BLUP and Bayes-C components in a genomic prediction model
by: Oscar O. M. Iheshiulor, et al.
Published: (2017-08-01)