Genome-Based Models Predict Rapeseed Flowering Time and Yield

Genome-Based Models Predict Rapeseed Flowering Time and Yield

Accurately predicting complex agronomic traits remains a major hurdle in crop breeding. This study shows that optimized genomic prediction models can reliably forecast flowering time, yield components, and oil content in rapeseed using genome-wide genetic data. By combining trait-linked genetic variants with both conventional statistical methods and machine-learning approaches, the researchers achieved high prediction accuracy across several eco…