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Document type:
Zeitschriftenaufsatz
Author(s):
John, Maura ; Haselbeck, Florian ; Dass, Rupashree ; Malisi, Christoph ; Ricca, Patrizia ; Dreischer, Christian ; Schultheiss, Sebastian J. ; Grimm, Dominik G.
Title:
A comparison of classical and machine learning-based phenotype prediction methods on simulated data and three plant species
Keywords:
Plant Science ; phenotype prediction ; genomic selection ; plant phenotyping ; machine learning ;
Journal title:
Frontiers in Plant Science
Year:
2022
Journal volume:
13
Fulltext / DOI:
doi:10.3389/fpls.2022.932512
Publisher:
Frontiers Media S.A.
E-ISSN:
1664-462X
Date of publication:
04.11.2022
CC license:
by, https://creativecommons.org/licenses/by/4.0
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