An Embarrassingly Simple Approach to Enhance Transformer Performance in Genomic Selection for Crop Breeding

arXiv:2405.09585v1 Announce Type: new
Abstract: Genomic selection (GS), as a critical crop breeding strategy, plays a key role in enhancing food production and addressing the global hunger crisis. The predominant approaches in GS currently revolve around employing statistical methods for prediction. However, statistical methods often come with two main limitations: strong statistical priors and linear assumptions. A recent trend is to capture the non-linear relationships between markers by deep learning. However, as crop datasets are commonly long sequences with limited …

abstract arxiv crisis cs.ai cs.lg food food production genomic global however hunger key performance prediction production role simple statistical strategy transformer type