Zhuanfang Hao

Zhuanfang Hao 

Center for Crop Genetics and Breeding

Institute of Crop Sciences

No.12 Zhongguancun South Street

Beijing, 100081, China

Tel:86-10-82108596

Fax:86-10-82108566

Email:haozhuanfang@caas.cn

Educations

l  2002.09-2005.07: Graduate School of Chinese Academy of Agricultural Sciences, Crop Genetics and Breeding, Doctoral Degree

l  1999.09-2002.07: Shanxi Agricultural University, Crop Genetics and Breeding, Master Degree

l  1995.09-1999.07: Shanxi Agricultural University, Agronomy, Bachelor Degree

Working Experience

l  2018.01-now, Professor, Institute of Crop Sciences, Chinese Academy of Agricultural Sciences

l  2011.01-2017.12, Associate Professor, Institute of Crop Sciences, Chinese Academy of Agricultural Sciences

l  2005.07-2010.12, Assistant Professor, Institute of Crop Sciences, Chinese Academy of Agricultural Sciences

Research Interests

l  Maize Genetics and Breeding

l  Abiotic Stress Genetics

l  Innovation of Maize Germplasm on Stress reli

Selected Publications (*corresponding authors)

Wang F, Chen Y, Yang R, Luo P, Wang H, Zhang R, Li W, Yang K, Xu X, Hao Z,* Li X. Identification of ZmSNAC06, a maize NAC family transcription factor with multiple transcripts conferring drought tolerance in Arabidopsis. Plants. 2025. 14(1):12

Luo P, Yang R, Zhang L, Yang, Wang H, Yong H, Zhang R, Li W, Wang F, Li M, Weng J, Zhang D, Zhou Z, Han J, Gao W, Xu X, Yang K, Zhang X, Fu J, Li X, Hao Z,* Ni Z. Genomic prediction of kernel water content in a hybrid population for mechanized harvesting in maize in northern China. Agronomy. 2024. 14:2795

Luo P, Wang H, Ni Z, Yang R, Wang F, Yong H, Zhang L, Zhou Z, Song W, Li M, Yang J, Weng J, Meng Z, Zhang D, Han J, Chen Y, Zhang R, Wang L, Zhao M, Gao W, Chen X, Li W, Hao Z,* Fu J, Zhang X, Li X. Genomic prediction of yield performance among single-cross maize hybrids using a partial diallel cross design. The Crop Journal. 2023.11:1884-1892

Yan H, Guo H, Xu W, Dai C, Kimani W, Xie J, Zhang H, Li T, Wang F, Yu Y, Ma M, Hao Z,* He Z. GWAS-assisted genomic prediction of cadmium cumulation in maize kernel with machine learning and linear statistical methods. Journal of Hazardous Materials. 2023. 441:129929

Wang N, Cheng M, Cheng Y, Liu B, Wang X, Li G, Zhou Y, Luo P, Xi Z, Yong H, Zhang D, Li M, Zhang X, Vicente FS, Hao Z,* Li X. Natural variations in the non-coding region of ZmNAC080308 contributes maintaining grain yield under drought stress in maize. BMC Plant Biology. 2021.21:305