Predicting yellow rust in wheat breeding trials by proximal phenotyping and machine learning

Predicting yellow rust in wheat breeding trials by proximal phenotyping and machine learning

Abstract Background High-throughput plant phenotyping (HTPP) methods have the potential to speed up the crop breeding process through the development of cost-effective, rapid and scalable phenotyping methods amenable to automation. Crop disease resistance breeding stands to benefit from successful i...

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Bibliographic Details
Main Authors: Alexander Koc, Firuz Odilbekov, Marwan Alamrani, Tina Henriksson, Aakash Chawade
Format: Article
Language:English
Published: BMC 2022-03-01
Series:Plant Methods
Subjects:
High-throughput phenotyping
Plant breeding
Yellow rust
Field phenotyping
Spectral vegetation index
Low-cost phenotyping
Online Access:https://doi.org/10.1186/s13007-022-00868-0

Internet

https://doi.org/10.1186/s13007-022-00868-0

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