Stacked ensembles on basis of parentage information can predict hybrid performance with an accuracy comparable to marker-based GBLUP

Stacked ensembles on basis of parentage information can predict hybrid performance with an accuracy comparable to marker-based GBLUP

Testcross factorials in newly established hybrid breeding programs are often highly unbalanced, incomplete, and characterized by predominance of special combining ability (SCA) over general combining ability (GCA). This results in a low efficiency of GCA-based selection. Machine learning algorithms...

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Bibliographic Details
Main Authors: Philipp Georg Heilmann, Matthias Frisch, Amine Abbadi, Tobias Kox, Eva Herzog
Format: Article
Language:English
Published: Frontiers Media S.A. 2023-07-01
Series:Frontiers in Plant Science
Subjects:
machine learning
stacked ensembles
gradient boosting
genomic prediction
general combining ability
specific combining ability
Online Access:https://www.frontiersin.org/articles/10.3389/fpls.2023.1178902/full

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