Robustly enhancing crop genomic prediction accuracy through ensemble learning and iterative optimization.

Abstract excerpt

With climate change and global population growth, accelerating the breeding of superior crop varieties is essential for food security. Genomic prediction, which uses genome-wide genetic markers to predict crop traits, plays an important role in intelligent crop breeding. However, existing methods often lack stable and accurate performance across crops and traits. Here, we propose GEG2P, a genetic algorithm-based...

Topics

Share this publication in a Topic to start or enrich a Post.

• Share to Cicer
• Share to Crops, Agricultural