Novel Bayesian Networks for Genomic Prediction of Developmental Traits in Biomass Sorghum

The ability to connect genetic information between traits over time allow Bayesian networks to offer a powerful probabilistic framework to construct genomic prediction models. In this study, we phenotyped a diversity panel of 869 biomass sorghum (Sorghum bicolor (L.) Moench) lines, which had been ge...

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Detalles Bibliográficos
Autores principales: dos Santos, Jhonathan P. R., Fernandes, Samuel B., McCoy, Scott, Lozano, Roberto, Brown, Patrick J., Leakey, Andrew D.B., Buckler, Edward S., Garcia, Antonio A. F., Gore, Michael A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Genetics Society of America 2019
Materias:
Genomic Prediction
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7003104/
https://www.ncbi.nlm.nih.gov/pubmed/31852730
http://dx.doi.org/10.1534/g3.119.400759

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7003104/
https://www.ncbi.nlm.nih.gov/pubmed/31852730
http://dx.doi.org/10.1534/g3.119.400759

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