个人简介

陈焱森，博士，校级特聘教授。主要从事动物智能表型与精准育种研究，聚焦基于多组学与机器学习的复杂性状遗传解析与智能育种方法开发。博士毕业于比利时列日大学，博士后继续在列日大学开展相关研究。曾两次获国家留学基金委资助赴比利时学习与科研，具有系统的国际化培养与研究经历。主持欧盟科研项目子课2项，在 Journal of Dairy Science 等国际主流期刊发表10余篇学术论文，多次在 EAAP等国际学术会议作口头报告。担任 Animal、Genetics Selection Evolution、Journal of Dairy Science 等国际期刊审稿人。2025年入选湖南省第十七批“芙蓉计划”青年学者。

教育工作经历

· 2026.01-至今 湖南农业大学

· 2023.01-2025.12  列日大学（University of Liège），博士后

· 2019.09-2023.01列日大学（University of Liège ），农学与生物工程（Agronomy andBioengineering），博士

· 2018.09-2019.02列日大学（University of Liège ）， 访问学生

· 2017.09-2019.06华中农业大学, 养殖，硕士

· 2013.09-2017.06石河子大学, 动物科学，学士

研究方向

· 动物数量遗传学与基因组预测

· 机器学习驱动的表型组学建模

· 多组学整合解析猪营养复杂性状的遗传调控机制

主持科研项目

· 岳麓山实验室, 省级重点专项, YLS-2025-ZY02026, 基于营养–基因组互作解析宁乡猪生长性状调节机制及选择体系创建, 2025-08 至 2028-07, 200万元, 在研, 参与。

· 卢森堡基金委（FNR）, 卢森堡国家科研基金（FNR）资助国际合作项目, 17939764, 奶牛瘤胃微生物与基因组协同影响氮利用率与甲烷排放机制的研究（NITMETFUN）, 2024-03 至 2028-02, 546万元, 在研,子课题负责人。

· 欧盟（Interreg North-West Europe 计划）, Interreg NWE 国际合作项目, NWE0100132, 大数据驱动的中小奶牛场智能决策系统建设（HoliCow）, 2023-03 至 2026-06, 2285万元, 在研, 子课题负责人。

代表性论文和著作

代表性论文(第一作者或通讯作者)：

1. Chen, Y. Atashi, H., Vanderick, S., Mota, R. R., Soyeurt, H., Hammami, H., and Gengler, N.*,2021. Genetic analysis of milk urea concentration and its genetic relationship with selected traits of interest in dairy cows. J. Dairy Sci. 104:12741–12755.

2. Chen, Y. Vanderick, S., Mota, R. R., Grelet, C., GplusE Consortium, and Gengler, N.*,2021. Estimation of genetic parameters for predicted nitrogen use efficiency and losses in early lactation of Holstein cows. J. Dairy Sci. 104:4413–4423.

3. Chen, Y. Atashi, H., Grelet, C., Vanderick, S., Hu, H., and Gengler, N.*,2022. Defining a nitrogen efficiency index in Holstein cows and assessing its potential impact on the breeding program of bulls. J. Dairy Sci. 105:7575–7587.

4. Chen, Y.*, Atashi, H., Mota, R. R., Grelet, C., Vanderick, S., Hu, H., GplusE Consortium, and Gengler, N. 2023. Validating genomic prediction for nitrogen efficiency index and its composition traits of Holstein cows in early lactation. J. Anim. Breed. Genet. 140:695–706.

5. Chen, Y.*, Atashi, H., Grelet, C., Mota, R. R., Vanderick, S., Hu, H., GplusE Consortium, and Gengler, N. 2023. Genome-wide association study and functional annotation analyses for nitrogen efficiency index and its composition traits in dairy cattle. J. Dairy Sci. 106:3397–3410.

6.  Su, J.,Chen, Y.,Nan, L., Wang, H., Luo, X., Fan, Y., Zhang, Y., Du, C., Gengler, N., and Zhang, S*. 2024.Discriminating milk storage time with mid-infrared spectra combined with machine learning. International Dairy Journal 152:10584. (共同第一作者)

7. Chen, Y.*, Hu, H., Atashi, H., Grelet, C., Wijnrocx, K., Lemal, P., and Gengler, N. 2024. Genetic analysis of milk citrate predicted by milk mid-infrared spectra of Holstein cows in early lactation. J. Dairy Sci. 107:3047–3061.

8. Chen, Y.*, Atashi, H., Qu, J., Delhez, P., Runcie, D., Soyeurt, H., and Gengler, N. 2024. Exploring a Bayesian sparse factor model-based strategy for the genetic analysis of thousands of mid-infrared spectra traits for animal breeding. J. Dairy Sci. 107:9615–9627.

9. Chen, Y.*, Atashi, H., Grelet, C., and Gengler, N. 2025. Weighted single-step genomic best linear unbiased predictor enhances the genomic prediction accuracy for milk citrate predicted by milk mid-infrared spectra of Holstein cows in early lactation. JDS Commun. 6:90–94.

10. Atashi, H.,Chen, Y.*, Wijnrocx, K., Soyeurt, H., Hubin, X., and Gengler, N. 2025. Genetic parameters of mid-infrared-predicted methane production and its relationship with production traits in Walloon Holstein dairy cows. J. Dairy Sci. 108:13527–13542. (通讯作者)

11. Chen, Y., Atashi, H.*, Chelotti, J., Lemal, P., and Gengler, N. 2026. Prediction of welfare scores throughout lactation by random regression test-day models in Walloon Holstein dairy cows. J. Dairy Sci. (共同第一作者，接收)