GPS: Harnessing data fusion strategies to improve the accuracy of machine learning-based genomic and phenotypic selection.

Abstract excerpt

Genomic selection (GS) and phenotypic selection (PS) are widely used for accelerating plant breeding. However, the accuracy, robustness, and transferability of these two selection methods are underexplored, especially when addressing complex traits. In this study, we introduce a novel data fusion framework, GPS (genomic and phenotypic selection), designed to enhance predictive performance by integrating genomic...

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