Multi-modal deep learning improves grain yield prediction in wheat breeding by fusing genomics and phenomics

MOTIVATION: Developing new crop varieties with superior performance is highly important to ensure robust and sustainable global food security. The speed of variety development is limited by long field cycles and advanced generation selections in plant breeding programs. While methods to predict yiel...

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Detalles Bibliográficos
Autores principales: Togninalli, Matteo, Wang, Xu, Kucera, Tim, Shrestha, Sandesh, Juliana, Philomin, Mondal, Suchismita, Pinto, Francisco, Govindan, Velu, Crespo-Herrera, Leonardo, Huerta-Espino, Julio, Singh, Ravi P, Borgwardt, Karsten, Poland, Jesse
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2023
Materias:
Original Paper
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10246581/
https://www.ncbi.nlm.nih.gov/pubmed/37220903
http://dx.doi.org/10.1093/bioinformatics/btad336

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10246581/
https://www.ncbi.nlm.nih.gov/pubmed/37220903
http://dx.doi.org/10.1093/bioinformatics/btad336

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