![]()
个人信息
- 所在单位：农学院
- 学历：博士研究生毕业
- 学位：理学博士学位
- Antwi-Boasiako Augustine,Jia Shihao,Liu Jiale,Guo Na,Chen Changjun,Karikari Benjamin,Feng Jianying,Zhao Tuanjie.Identification and Genetic Dissection of Resistance to Red Crown Rot Disease in a Diverse Soybean Germplasm Population,PLANTS-BASEL,2024,13(7)(共同通讯作者)
- Antwi-Boasiako Augustine,Zhang Chunting,Almakas Aisha,Liu Jiale,Jia Shihao,Guo Na,Chen Changjun,Zhao Tuanjie,Feng Jianying.Identification of QTLs and Candidate Genes for Red Crown Rot Resistance in Two Recombinant Inbred Line Populations of Soybean [Glycine max (L.) Merr.],AGRONOMY-BASEL,2024,14(8)(共同通讯作者)
- Wang Li,Karikari Benjamin,Zhang Hu,Zhang Chunting,Wang Zili,Zhao Tuanjie,Feng Jianying.Comprehensive Identification of Main, Environment Interaction and Epistasis Quantitative Trait Nucleotides for 100-Seed Weight in Soybean (Glycine max (L.) Merr.),AGRONOMY-BASEL,2024,14(3)(通讯作者)
- Chen Ying,Yue Xiu-Li,Feng Jian-Ying,Gong Xin,Zhang Wen-Jie,Zuo Jian-Fang,Zhang Yuan-Ming.Identification of QTNs, QTN-by-environment interactions, and their candidate genes for salt tolerance related traits in soybean,BMC PLANT BIOLOGY,2024,24(1)(共同第一作者)
- Yang Ming,Wen Yangjun,Zheng Jinchang,Zhang Jin,Zhao Tuanjie,Feng Jianying.Improving power of genome-wide association studies via transforming ordinal phenotypes into continuous phenotypes,FRONTIERS IN PLANT SCIENCE,2023,14(通讯作者)
- 张小利,丁文涛,薛冬,李向楠,周扬,沈甲诚,冯建英,郭娜,邱丽娟,邢邯,赵晋铭.Genome-wide association studies of plant architecture-related traits and 100-seed weight in soybean landraces,BMC GENOMIC DATA,2021,22(1):-(参与作者)
- 温阳俊,冯建英,张瑾.多位点关联分析方法学的研究进展,南京农业大学学报,2021,45(2022年01期):1-10(参与作者)
- 王晓婷,黄鹭,卞晓春,李展,高瑞芳,张星,张小利,李向楠,王海棠,郭娜,冯建英,赵晋铭,邢邯.Functional analysis of the soybean gene GmTIR under biotic and abiotic stresses,CROP & PASTURE SCIENCE,2020,71(1):47-55(参与作者)
- 温阳俊,张亚雯,张瑾,冯建英,章元明.The improved FASTmrEMMA and GCIM algorithms for genome-wide association and linkage studies in large mapping populations,CROP JOURNAL,2020,8(5):723-732(参与作者)
- Identification of quantitative trait nucleotides and candidate genes for soybean seed weight by multiple models of genome-wide association study,BMC PLANT BIOLOGY,2020,20(1):-(共同通讯作者)
