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

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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Bibliographic Details
Main Authors: Jhonathan P. R. dos Santos, Samuel B. Fernandes, Scott McCoy, Roberto Lozano, Patrick J. Brown, Andrew D.B. Leakey, Edward S. Buckler, Antonio A. F. Garcia, Michael A. Gore
Format: Article
Language:English
Published: Oxford University Press 2020-02-01
Series:G3: Genes, Genomes, Genetics
Subjects:
bayesian networks
biomass sorghum
genomic prediction
indirect selection
probabilistic programming
genpred
shared data resources
Online Access:http://g3journal.org/lookup/doi/10.1534/g3.119.400759

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http://g3journal.org/lookup/doi/10.1534/g3.119.400759

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