Application of machine learning algorithms and feature selection in rapeseed (Brassica napus L.) breeding for seed yield

Application of machine learning algorithms and feature selection in rapeseed (Brassica napus L.) breeding for seed yield

Abstract Background Studying the relationships between rapeseed seed yield (SY) and its yield-related traits can assist rapeseed breeders in the efficient indirect selection of high-yielding varieties. However, since the conventional and linear methods cannot interpret the complicated relations betw...

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Bibliographic Details
Main Authors: Masoud Shahsavari, Valiollah Mohammadi, Bahram Alizadeh, Houshang Alizadeh
Format: Article
Language:English
Published: BMC 2023-06-01
Series:Plant Methods
Subjects:
Rapeseed
Machine learning
Feature selection
Selection criteria
Seed yield prediction
Online Access:https://doi.org/10.1186/s13007-023-01035-9

Internet

https://doi.org/10.1186/s13007-023-01035-9

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