Deep learning-based phenotyping for genome wide association studies of sudden death syndrome in soybean

Using a reliable and accurate method to phenotype disease incidence and severity is essential to unravel the complex genetic architecture of disease resistance in plants, and to develop disease resistant cultivars. Genome-wide association studies (GWAS) involve phenotyping large numbers of accession...

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Detalles Bibliográficos
Autores principales: Rairdin, Ashlyn, Fotouhi, Fateme, Zhang, Jiaoping, Mueller, Daren S., Ganapathysubramanian, Baskar, Singh, Asheesh K., Dutta, Somak, Sarkar, Soumik, Singh, Arti
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Plant Science
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9634489/
https://www.ncbi.nlm.nih.gov/pubmed/36340398
http://dx.doi.org/10.3389/fpls.2022.966244

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9634489/
https://www.ncbi.nlm.nih.gov/pubmed/36340398
http://dx.doi.org/10.3389/fpls.2022.966244

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