Article
Novel Bayesian Networks for Genomic Prediction of Developmental Traits in Biomass Sorghum.
G3 (Bethesda, Md.) - 6 Feb 2020
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
Abstract excerpt
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 genotyped with 100,435 SNP markers, for plant height (PH) with biweekly measurements from 30 to 120 days after...
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