大数据多组学驱动的动物育种双语教学OA

With the widespread application of genomic selection(GS)and genome-wide association studies(GWAS),animal breeding has entered an era driven by big data and multi-omics technologies,placing higher demands on students'data analysis competence and English proficiency.In response to insufficient bioinformatics training and limited professional English develop-ment in the current curriculum,this study proposes a bilingual teaching reform model driven by big data and multi-omics inte-gration.The curriculum was restructured to incorporate GWAS algorithms,gene editing,and multi-omics analysis modules,while practical training using PLINK and R was introduced.A progressive bilingual teaching strategy and a diversified evalua-tion system were also implemented.Teaching practice demonstrated that this model effectively enhanced students'data analyti-cal skills and academic communication ability,providing a replicable pathway for cultivating interdisciplinary talents in animal breeding under the New Agricultural Science framework.