Tailoring AI and ML models for genotype-by-environment prediction leveraging environmental covariates: A European rye example.
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| Title: | Tailoring AI and ML models for genotype-by-environment prediction leveraging environmental covariates: A European rye example. |
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| Authors: | Eckhoff W; Biostatistics Unit, Institute of Crop Science, University of Hohenheim, Stuttgart, Germany. w.eckhoff@uni-hohenheim.de.; KWS SAAT SE & Co. KGaA, Einbeck, Germany. w.eckhoff@uni-hohenheim.de., Parat F; KWS SAAT SE & Co. KGaA, Einbeck, Germany., Bracho-Mujica G; KWS SAAT SE & Co. KGaA, Einbeck, Germany., Flamm C; Österreichische Agentur Für Gesundheit Und Ernährungssicherheit GmbH, Vienna, Austria., Bustos-Korts D; Faculty of Agricultural and Food Sciences, Universidad Austral de Chile, Valdivia, Chile., Piepho HP; Biostatistics Unit, Institute of Crop Science, University of Hohenheim, Stuttgart, Germany. |
| Source: | TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik [Theor Appl Genet] 2026 Jul 15; Vol. 139 (8). Date of Electronic Publication: 2026 Jul 15. |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Springer Country of Publication: Germany NLM ID: 0145600 Publication Model: Electronic Cited Medium: Internet ISSN: 1432-2242 (Electronic) Linking ISSN: 00405752 NLM ISO Abbreviation: Theor Appl Genet Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
| ISSN: | 1432-2242 |
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| DOI: | 10.1007/s00122-026-05280-z |
