Microbiome-enabled genomic selection improves prediction accuracy for nitrogen-related traits in maize
www.biorxiv.org
In our MEGS, a linear mixed model is used to predict maize phenotype by including both host genotypes and root-associated microbiome, where SNP markers effects and microbiome effects were treated as random effects with different variance components.
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- In our MEGS, a linear mixed model is used to predict maize phenotype by including both host genotypes and root-associated microbiome, where SNP markers effects and microbiome effects were treated as random effects with different variance components.
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