I am a PhD student registered in Northwest A & F University, China. My research focuses on the epidemiology and management of cotton wilt caused by Verticillium dahliae, the same pathogen that causes strawberry wilt. I am working with Prof. Xiangming Xu for two years at EMR, where I will focus on predicting wilt risk using the level of soil inoculum quantified by a real-time PCR method, and understanding the effect of soil microbiota on wilt development on strawberry.
- Rong Fang, Feng Wei, Thomas Passey, X-M. Xu. (2016). Identification of candidate soil microbes responsible for small-scale heterogeneity in strawberry vigour Journal of Integrative Agriculture (In press).
- Feng Wei, Xiaoping Hu & X-M. Xu . (2016). Dispersal of Bacillus subtilis and its effect on strawberry phyllosphere microbiota under open field and protection conditions. Scientific Report 6, Article number: 22611 . doi:10.1038/srep22611.
- F. Wei, T. Passey, X-M Xu . (2016). Effects of individual and combined use of bio-fumigation-derived products on the viability of Verticillium dahliae microsclerotia in soil Crop Protection, 79. 170-176; http://dx.doi.org/10.1016/j.cropro.2015.09.008.
- F. Wei, T.A.J. Passey, X.-M. Xu . (2016). Amplicon-based metabarcoding reveals temporal response of soil microbial community to fumigation-derived products Applied Soil Ecology. doi: 10.1016/j.apsoil.2016.03.009.
- Feng Wei, Wenjing Shang, Jiarong Yang, Xiaoping Hu, X.-M. Xu . (2015). Spatial Pattern of Verticillium dahliae Microsclerotia and Cotton Wilt in Commercial Fields PLoS ONE 10(7): e0132812. doi:10.1371/journal.pone.0132812.
- X-M Xu, T Passey, F Wei, R Saville, RJ. Harrison . (2015). Amplicon-based metagenomics identified candidate organisms in soils that caused yield decline in strawberry Hort Res (Nature) 2, 15022. doi:10.1038/hortres.2015.22.
- F Wei, R. Fan, H.-T. Dong, W.J. Shang, X.-M. Xu, H.-Q Zhu, J.-R. Yang, and X.-P. Hu . (2015). Threshold microsclerotial inoculum for cotton Verticillium wilt determined through wet-sieving and real-time quantitative PCR Phytopathology, 105. 220-229.