师资队伍

  • 姓名:李文霞
  • 性别:
  • 职称:副教授
  • 硕、博导:硕导
  • 学科领域:作物学
  • 研究方向:作物遗传育种
  • 办公地点:公共基础楼533室
  • 办公电话:18846921140
  • 电子邮件:liwenxianeau@126.com

个人简介

学习经历:

1995年9月-1999年6月,bat365在线登录入口农业环境保护本科毕业,获农学学士学位。

2001年9月-2006年6月,bat365在线登录入口作物遗传育种毕业硕博连读,获农学博士学位。

2007年8月-2011年11月,bat365在线登录入口畜牧学博士后流动站,出站。

2013年5月-2014年5月,美国北卡罗来纳州立大学,访问学者。

作经历:

1999年7月-2001年8月,黑龙江省牡丹江烟草科学研究所,助研。

2006年7月-2009年8月,bat365在线登录入口,讲师。

2009年9月-至今,bat365在线登录入口,副教授。

教学工作

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

科研项目

1、大豆蛋白质合成相关基因GmTHOC3克隆与功能验证(LH2021C029),10万元,黑龙江省自然科学基金,2021.7-2024.7

2、大豆蛋白质合成相关基因GmSEC62的功能分析(32072015),58万元,国家自然科学基金,2021.1-2024.12

3、早熟大豆新品种的选育与育种性状QTL定位,20万元,国家“十三五”重大研发计划,2018.1-2021.12

4、深度简化测序技术精细定位大豆四向重组自交系群体品质性状QTL(C2015007),6万元,黑龙江省自然科学基金,2015.7-2018.9

论文著作

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。

其他成果

品种:

1、鑫农10,第1名,黑审豆2022L0014,黑龙江省作物品种审定委员会,2022

2、东庆27,第1名,黑审豆2022L0008,黑龙江省作物品种审定委员会,2022

3、东农豆204,第2名,黑审豆20220031,黑龙江省作物品种审定委员会,2022

4、鑫农12,第2名,黑审豆2021L0017,黑龙江省作物品种审定委员会,2021

5、鑫农13,第2名,黑审豆2021L0024,黑龙江省作物品种审定委员会,2021

6、东庆25,第2名,黑审豆2021L0022,黑龙江省作物品种审定委员会,2021

7、东庆9,第2名,黑审豆2020L0015,黑龙江省作物品种审定委员会,2020

8、东农豆245大豆品种选育(第3名),黑龙江省品种审定委员会,2019

9、东庆20大豆品种选育(第3名),黑龙江省品种审定委员会,2019

10、农垦人1号大豆品种选育(第2名),黑龙江省品种审定委员会,2019

11、东农61号大豆品种选育(第1名),黑龙江省品种审定委员会,2013

12、东农57号大豆品种选育(第2名),黑龙江省品种审定委员会,2011

13、东农53号大豆品种选育(第1名),黑龙江省品种审定委员会,2008

14、东农51号大豆品种选育(第1名),黑龙江省品种审定委员会,2007

15、东农50号大豆品种选育(第2名),黑龙江省品种审定委员会,2007