Article

Leveraging Transcriptomics Data for Genomic Prediction Models in Cassava

2017-10-24

Abstract excerpt

<h4>Background</h4> Genomic prediction models were, in principle, developed to include all the available marker information; with this approach, these models have shown in various crops moderate to high predictive accuracies. Previous studies in cassava have demonstrated that, even with relatively small training populations and low-density GBS markers, prediction models are feasible for genomic selection. In the...

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Literature Corpus work: be4b0ee6-ef7e-5ae0-a972-1f12e8018f04
DOI: 10.1101/208181

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