Machine Learning Applied to the Search for Nonlinear Features in Breeding Populations

Large plant breeding populations are traditionally a source of novel allelic diversity and are at the core of selection efforts for elite material. Finding rare diversity requires a deep understanding of biological interactions between the genetic makeup of one genotype and its environmental conditi...

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Bibliographic Details

Published in:	Frontiers in Artificial Intelligence
Main Authors:	Iulian Gabur, Danut Petru Simioniuc, Rod J. Snowdon, Dan Cristea
Format:	Article
Language:	English
Published:	Frontiers Media S.A. 2022-05-01
Subjects:	machine learning feature selection linear models genomic selection wheat oilseed rape
Online Access:	https://www.frontiersin.org/articles/10.3389/frai.2022.876578/full