Identification of environment types and adaptation zones with self-organizing maps; applications to sunflower multi-environment data in Europe

KEY MESSAGE: We evaluate self-organizing maps (SOM) to identify adaptation zones and visualize multi-environment genotypic responses. We apply SOM to multiple traits and crop growth model output of large-scale European sunflower data. ABSTRACT: Genotype-by-environment interactions (G × E) complicate...

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Detalles Bibliográficos
Autores principales: Bustos-Korts, Daniela, Boer, Martin P., Layton, Jamie, Gehringer, Anke, Tang, Tom, Wehrens, Ron, Messina, Charlie, de la Vega, Abelardo J., van Eeuwijk, Fred A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2022
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9205840/
https://www.ncbi.nlm.nih.gov/pubmed/35524815
http://dx.doi.org/10.1007/s00122-022-04098-9

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9205840/
https://www.ncbi.nlm.nih.gov/pubmed/35524815
http://dx.doi.org/10.1007/s00122-022-04098-9

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