Independent and Joint-GWAS for growth traits in Eucalyptus by assembling genome-wide data for 3373 individuals across four breeding populations

What is it about?

Economically important traits in forest trees such as growth, wood quality and disease resistance are controlled by many genes. Tree breeders plan to use DNA marker data to accelerate the selection of better trees for more sustainable plantation forestry. In this work, we show how to improve the ability to map important genes for growth in eucalypts and identify a number of genes that could be used to optimize breeding practice.

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