GPTransformer: A Transformer-Based Deep Learning Method for Predicting Fusarium Related Traits in Barley.

ABSTRACT: Fusarium head blight (FHB) incited by Fusarium graminearum Schwabe is a devastating disease of barley and other cereal crops worldwide. Fusarium head blight is associated with trichothecene mycotoxins such as deoxynivalenol (DON), which contaminates grains, making them unfit for malting or animal feed industries. While genetically resistant cultivars offer the best economic and environmentally responsible means to mitigate disease, parent lines with adequate resistance are limited in barley. Resistance breeding based upon quantitative genetic gains has been slow to date, due to intensive labor requirements of disease nurseries. The production of a high-throughput genome-wide molecular marker assembly for barley permits use in development of genomic prediction models for traits of ec

SUBMITTER: Jubair S 

PROVIDER: S-EPMC8716695 | biostudies-literature | 2021

REPOSITORIES: biostudies-literature