授课

讲授田间试验与统计方法（40学时）、作物育种学各论（16学时）、试验与设计（32学时）本科生课程；讲授数量遗传学（48学时）、统计基因组学（32学时）、田间试验统计学（32学时）、作物数量遗传学研究进展（16学时）研究生课程。

教学成果

1、全国生态文明信息化教学成果《田间试验与统计方法》，国家林业局，中国林业教育学会，第一名，2019.11

2、《田间试验与统计方法》，黑龙江省省级精品在线课程（第二名），2019

3、农学专业应用型人才培养模式课程体系与教学内容改革研究与实践（第二名）.黑龙江省政府教学成果二等奖，2013

4、《田间试验与统计方法》， bat365在线登录入口优秀教材一等奖（第二名），2013

5、《田间试验数据的计算机分析》，bat365在线登录入口优秀教材二等奖（第二名），2013

6、田间试验与统计方法实验课程建设与考核的研究.黑龙江省高教学会二等奖（第二名），2010

7、应用型人才培养模式下农学专业实践教学的改革与实践。黑龙江省高教学会二等奖（第二名），2011

8、农学专业应用型人才培养体系与教学内容的改革与实践.黑龙江省高教学会三等奖（第二名），2011

编写教材

1、《农业标准制定与实施》（副主编），科学出版社，2019

2、《试验设计与统计分析》（第二版）（参编），中国农业出版社，2016

3、《种子经营与管理》（参编），中央广播电视大学出版社，2013

4、《寒地作物现代生产技术》（参编），中央广播电视大学出版社，2013

5、《田间试验与统计方法》（主编），科学出版社，2012

6、《田间试验数据的计算机分析》（副主编），科学出版社，2012

英文论文：

1、WangJ, HuB, HuangS, HuX, Siyal M, YangC, ZhaoH, Yang T, Li Ha, Hou Y, Liu C, Sun X, Rameez Veesar R, Li W-X, NingH. (2022) SNP-bin linkage analysis and genome-wide association study of plant height in soybean. Crop & Pasture Science doi:10.1071/CP21128（SCI收录，中科院3区，影响因子2.286）

2、Wang J, Hu B, Jing Y, Hu X, Guo Y, Chen J, Liu Y, Hao J, Li W-X and Ning H (2022) Detecting QTL and Candidate Genes for Plant Height in Soybean via Linkage Analysis and GWAS. Front. Plant Sci. 12:803820. doi: 10.3389/fpls.2021.803820（SCI收录，中科院2区，影响因子5.753）

3、Li W-X, Wang P, Zhao H, Sun X, Yang T, Li H, Hou Y, Liu C, Siyal M, Raja veesar R, Hu B and Ning H (2021) QTL for main stem node number and its response to plant densities in 144 soybean FW-RILs. Front. Plant Sci. 12:666796. doi: 10.3389/fpls.2021.666796（SCI收录，中科院2区，影响因子5.753）

4、Hu Guofu, Wang Bo, Gong Ting, Li Ran, Guo Xin, Liu Wei, Yang Zouzhuan, Liu Chunyan, Wen-Xia Li，Hailong Ning. Mapping additive and epistatic QTLs for Merri. forage quality and yield in soybean [Glycine max(L.)] in two environments. Biotechnology & Biotechnological Equipment, https://doi.org/10.1080/13102818.2021.1932593（SCI收录，中科院4区，影响因子1.632）

5、Kaleri A. A., Li L., Zhang Y., Liu W., Jiang C, Zhang Y., Liu C., Kaleri A. H., Nizamani M. Mehmood M., A., Bahadur S., Li W-X. and Ning H. Recognition of qtl for seed protein and oil content in two soybean recombinat inbred lines populations. Journal of Animal and Plant Sciences, JAPS, 2021, 31(6): 1669-1685 Published online March 31, 2021, https://doi.org/10.36899/JAPS.2021.6.0371（SCI收录，中科院4区，影响因子0）

6、Wang Ping, Sun Xu, Zhang Kaixin, Fang Yanlong, Wang Jiajing, Yang Chang, Li Wen-Xia, Ning Hailong. Mapping QTL/QTN and mining candidate genes for plant height and its response to planting densities in soybean [Glycine max (L.) Merr.] through a FW-RIL population. Mol Breeding (2021) 41:12 doi.org/10.1007/s11032-021-01209-0（SCI收录，中科院2区，影响因子2.589）

7、Li Xiyu, Wang Ping, Zhang Kaixin, Liu Shulin, Qi Zhongying, Fang Yanlong, Wang Yue, Tian Xiaocui, Song Jie, Wang Jiajing, Yang Chang, Sun Xu, Tian Zhixi, Li Wen‑Xia, Ning Hailong (2021) Fine mapping QTL and mining genes for protein content in soybean by the combination of linkage and association analysis. Theoretical and Applied Genetics, 134(8): 1095–1122. https://doi.org/10.1007/s00122-020-03756-0（SCI收录，中科院1区，影响因子5.699）

8、LiXiyu，ZhangKaixin,SunXu,HuangShanshan,WangJiajing,YangChang,SiyalMahfishan,WangChao,GuoChunlan,HuXiping,LiWen-Xia*,NingHailong* (2020)Detection of QTL and QTN and candidate genes for oil content in soybean using a combination of four-way-RIL and germplasm populations.The Crop Journal, 8:802-811 https://doi.org/10.1016/j.cj.2020.07.004（SCI收录，中科院1区，影响因子3.395）

9、Qi Z, Song J, Zhang K, Liu S, Tian X, Wang Y, Fang Y, Li X, Wang J, Yang C, Jiang S, Sun X, Tian Z, Li W* and Ning H* (2020) Identification of QTNs Controlling 100-Seed Weight in Soybean Using Multilocus Genome-Wide Association Studies. Front. Genet. 11:689. doi: 10.3389/fgene.2020.00689（SCI收录，中科院2区，影响因子3.258）

10、Tian X, Zhang K, Liu S, Sun X, Li X,Song J, Qi Z, Wang Y, Fang Y,Wang J, Jiang S, Yang C, Tian Z,Li W-X* and Ning H* (2020) QuantitativeTrait Locus Analysis of Protein and Oil Content in Response to Planting Density in Soybean (Glycine max [L.] Merri.) Seeds Based on SNP Linkage Mapping. Front. Genet. 11:563. doi: 10.3389/fgene.2020.00563（SCI收录，中科院2区，影响因子3.258）

11、Song J, Sun X, Zhang K, Liu S, Wang J, Yang Chang, Jiang S, Siyal M, Li X, Qi Z, Wang Y, Tian X, Fang Y, Tian Z, Li W-X*, Ning H*. Identification of QTL and genes for pod number in soybean by linkage analysis and genome-wide association studies. Mol Breeding (2020) 40:60 https://doi.org/10.1007/s11032-020-01140-w（SCI收录，中科院2区，影响因子2.149）

12、Wang Y, Q Dong, Y Fang, Z Qi, X Tian, J Song, J Wang, X Li, W Li, W-X Li* and H Ning* (2020). Identification of quantitative trait loci for seed protein and oil contents in soybean and analysis for epistatic and QTL× environment effects in multiple environments. Intl J Agric Biol , 24:493‒504. DOI: 10.17957/IJAB/15.1464（SCI收录，中科院4区，影响因子0.822）

13、Quanzhong Dong, Kaixin Zhang, Xu Sun, Xiaocui Tian, Zhongying Qi, Yanlong Fang, Xiyu Li, Yue Wang, Jie Song, Jiajing Wang, Chang Yang, Sitong Jiang, Wen-Xia Li*，Hailong Ning* (2020) Mapping QTL underlying plant height at three development stages and its response to density in soybean [Glycine max (L.) Merri.], Biotechnology & Biotechnological Equipment, 34:1, 395-404, DOI: 10.1080/13102818.2020.1758594（SCI收录，中科院4区，影响因子1.186）

14、Fang Y, Liu S, Dong Q, Zhang K,Tian Z, Li X, Li W, Qi Z, Wang Y, Tian X,Song J, Wang J, Yang C, Jiang S,Li W-X* and Ning H* (2020). Linkage analysis and multi-locus genome-wide association studies identify qtns controlling soybean plant height. Front. Plant Sci. 11:9. doi: 10.3389/fpls.2020.00009（SCI收录，中科院2区，影响因子4.402）

15、Xiyu Li, Hong Xue, Kaixin Zhang, Wenbin Li, Yanlong Fang, Zhongying Qi, Yue Wang, Xiaocui Tian, Jie Song, Wenxia Li* and Hailong Ning* (2019). Mapping QTLs for protein and oil content in soybean by removing the influence of related traits in a four-way recombinant inbred line population. The Journal of Agricultural Science 157, 659–675. https://doi.org/10.1017/S0021859620000040（SCI收录，中科院2区，影响因子1.082）

16、Hong Xue, Xiaocui Tian, Kaixin Zhang, Wenbin Li, Zhongying Qi, Yanlong Fang, Xiyu Li, Yue Wang, Jie Song, Wen-Xia Li*, Hailong Ning*. (2019) Mapping developmental QTL for plant height in soybean [Glycine max(L.) Merr.] using a four-way recombinant inbred line population. PLoS ONE 14(11): e0224897. https://doi.org/10.1371/journal.pone.0224897 2019-11-20（SCI收录，中科院3区，影响因子2.74）

17、Daiqun Su, Sitong Jiang, Jiajing Wang, Chang Yang, Wenbin Li, Wen-Xia Li*, Hailong Ning* (2019) Identification of major QTLs associated with agronomical traits and candidate gene mining in soybean. Biotechnology & Biotechnological Equipment, 33:1, 1481-1493, DOI:10.1080/13102818.2019.1674691 2019-10-14（SCI收录，中科院4区，影响因子1.186）

18、Shiping Liu, Hong Xue, Kaixin Zhang, Ping Wang, Daiqun Su, Wenbin Li, Shichao Xu, Jianan Zhang, Zhongying Qi, Yanlong Fang, Xiyu Li, Yue Wang, Xiaocui Tian, Jie Song, Jiajing Wang, Chang Yang, Sitong Jiang, Wen-Xia Li*, Hailong Ning*. Mapping QTL affecting the vertical distribution and seed set of soybean [Glycine max (L.) Merr.] pods. The Crop Journal, 2019,7:694-706https://doi.org/10.1016/j.cj.2019.04.0042019-05-06（SCI收录，中科院1区，影响因子3.395）

19、Zhang K#, Liu S#, Li W, Liu S, Li X, Fang Y, Zhang J, Wang Y, Xu S, Zhang J, Song J, Qi Z, Tian X, Tian Z, Li W-X* and Ning H* (2018) Identification of QTNs Controlling Seed Protein Content in Soybean Using Multi-Locus Genome-Wide Association Studies. Front. Plant Sci. 9:1690. doi: 10.3389/fpls.2018.01690 2018-11-21（SCI收录，中科院2区，影响因子4.402）

20、Ning H, Yuan J, Dong Q, Li W, Xue H, Wang Y, Tian Y, Li W-X*. (2018) Identification of QTLs related to the vertical distribution and seed-set of pod number in soybean [Glycine max (L.) Merri]. PLoS ONE 13(4): e0195830. https://doi.org/10.1371/journal.pone.0195830 2018-04-01（SCI收录，中科院3区，影响因子2.74）

著作：

1、《大豆品质生态差异与遗传效应》（主编），黑龙江科技出版社，2009。