油菜高准确度基因组预测新模型将品种培育周期缩短至4年

Core Insights - The research team from the Chinese Academy of Agricultural Sciences has developed a high-accuracy genomic prediction model for rapeseed, integrating 404 global rapeseed resources, which provides efficient "precise navigation" for target breeding related to flowering time, oil content, and yield [1][2] - Traditional breeding methods for rapeseed take up to 6 years, which is insufficient to meet the urgent demand for high-quality varieties in agricultural production [1] - The new model has achieved over 90% prediction accuracy for flowering time and thousand-grain weight, and over 83% for oil content and pod length, significantly enhancing the prediction accuracy for complex traits [1] Industry Impact - The integration of genomic data and artificial intelligence algorithms with the genomic prediction model has led to a rapid breeding technique, reducing the breeding cycle from 6 years to 4 years [2] - The varieties bred using this model can establish a unique "gene ID," enabling full-process gene traceability from breeding to production, thus providing a foundational guarantee for the high-quality development of the rapeseed industry [2]