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

Heilmann, Philipp Georg; Frisch, Matthias; Abbadi, Amine; Kox, Tobias; Herzog, Eva

Heilmann, Philipp Georg; Frisch, Matthias; Abbadi, Amine; Kox, Tobias; Herzog, Eva.

Affiliation

Heilmann PG; Institute of Agronomy and Plant Breeding II, Justus Liebig University, Gießen, Germany.
Frisch M; Institute of Agronomy and Plant Breeding II, Justus Liebig University, Gießen, Germany.
Abbadi A; NPZ Innovation GmbH, Holtsee, Germany.
Kox T; NPZ Innovation GmbH, Holtsee, Germany.
Herzog E; Institute of Agronomy and Plant Breeding II, Justus Liebig University, Gießen, Germany.

Front Plant Sci ; 14: 1178902, 2023.

Article in En | MEDLINE | ID: mdl-37546247

Key words

general combining ability; genomic prediction; gradient boosting; hybrid breeding; hybrid prediction; machine learning; specific combining ability; stacked ensembles

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Full text: 1 Collection: 01-internacional Database: MEDLINE Type of study: Prognostic_studies / Risk_factors_studies Language: En Journal: Front Plant Sci Year: 2023 Document type: Article Affiliation country: Alemania Country of publication: Suiza

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