畜牧兽医杂志2026，Vol.45Issue(4)：103-110,8.DOI:10.7606/j.issn.1004-6704.2026.04.020
大数据多组学驱动的动物育种双语教学
Big Data and Multi-Omics-Enabled Bilingual Teaching of Animal Breeding
摘要
Abstract
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.关键词
动物育种学/教学改革/大数据/多组学/双语课程Key words
animal breeding/teaching reform/big data/multi-omics/bilingual curriculum分类
农业科技引用本文复制引用
滕金言,袁晓龙,高亚辉..大数据多组学驱动的动物育种双语教学[J].畜牧兽医杂志,2026,45(4):103-110,8.基金项目
国家自然科学基金项目(32402714) （32402714）
