Can We Teach Machines to Select Like a Plant Breeder? A Recommender System Approach to Support Early Generation Selection Decisions Based on Breeders’ Preferences

Can We Teach Machines to Select Like a Plant Breeder? A Recommender System Approach to Support Early Generation Selection Decisions Based on Breeders’ Preferences

Plant breeding is considered to be the science and art of genetically improving plants according to human needs. Breeders in this context oftentimes face the difficult task of selecting among thousands of genotypes for dozens of traits simultaneously. Using a breeder’s selection decisions from a com...

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Bibliographic Details
Main Authors: Sebastian Michel, Franziska Löschenberger, Christian Ametz, Herbert Bistrich, Hermann Bürstmayr
Format: Article
Language:English
Published: MDPI AG 2025-05-01
Series:Crops
Subjects:
breeder’s eye
selection theory
genome-wide prediction
machine learning
recommender system
Online Access:https://www.mdpi.com/2673-7655/5/3/31
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