Xiao Chao

RELEASE TIME:2024-10-22CLICK COUNT:

Name: Xiao Chao Title: Young Professor

E-mail: xiaochao@jxau.edu.cn

Research direction:

1. Soil greenhouse gas emissions

2. Efficient use of water and nutrients

3. Calculation of agricultural environmental footprint


Personal Profile

Graduated from Northwest Agriculture and Forestry University in 2024, 28 years old, research direction is farmland gas emissions and carbon and nitrogen footprint. Published 7 papers in journals such as "Agricultural Water Management", "Science of the Total Environment", "Computers and Electronics in Agriculture", "Field Crops Research", "Agriculture, Ecosystems and Environment", etc., one of which is an ESI highly cited paper.


Work Experience:

2024/07-Present, College of Land Resources and Environment, Jiangxi Agricultural University, Young Professor

Educational background:
2014.09—2018.07 Shanxi Agricultural University, Bachelor of Engineering
2018.09—2024.07 Northwest Agriculture and Forestry University, Doctor of Engineering (Master and Doctoral degree)

2022.11—2024.04 University of Helsinki, Finland, Joint Training

Academic part-time job:
Reviewer for the journals Agricultural Water Management, Field Crops Research, and Water


Scientific research

Attend international conferences

1. Participate in Maataloustieteen Päivät 2024 (Agricultural Science Days 2024 - Finland) symposium with 2 poster presentations.

2. Participate in compiling the Ministry of Agriculture and Rural Affairs' "14th Five-Year Plan" textbooks and the general higher education "14th Five-Year Plan" series of textbooks "Agricultural Hydrology"


First author and corresponding author papers

[1] Xiao C, Ji Q, Zhang F, Li Y, Fan J, Hou X, Yan F, Liu X, Gong K. 2023. Effects of various soil water potential thresholds for drip irrigation on soil salinity, seed cotton yield and water productivity of cotton in northwest China. Agricultural Water Management, 279: 108172. (中科院 1 Top, IF=6.7ESI高被引)

[2] Xu X, Xiao C, Dong Y, Zhan L, Bi R, Song M, Pan J, Xiong Z. 2024. Machine learning algorithms realized soil stoichiometry prediction and its driver identification in intensive agroecosystems across a north-south transect of eastern China. Science of The Total Environment, 906: 167488.(共同一作, 中科院 1 Top, IF=9.8

[3] Xiao C, Ji Q, Chen J, Zhang F, Li Y, Fan J, Hou X, Yan F, Wang H. 2023. Prediction of soil salinity parameters using machine learning models in an arid region of northwest China. Computers and Electronics in Agriculture, 204: 107512.(中科院 1 Top, IF=8.3

[4] Xiao C, Zou H, Fan J, Zhang F, Li Y, Sun S, Pulatov A. 2021. Optimizing irrigation amount and fertilization rate of drip-fertigated spring maize in northwest China based on multi-level fuzzy comprehensive evaluation model. Agricultural Water Management, 257: 107157.(中科院 1 Top, IF=6.7

[5] Xiao C, Zhang F, Li Y, Fan J, Ji Q, Jiang F, He Z. 2024. Optimizing drip irrigation and nitrogen fertilization regimes to reduce greenhouse gas emissions, increase net ecosystem carbon budget and reduce carbon footprint in saline cotton fields. Agriculture, Ecosystems & Environment, 366: 108912. (中科院 1 Top, IF=6.6

[6] Xiao C, Li M, Fan J L, Zhang F C, Li Y, Cheng H L, Li Y P, Hou X H, Chen J Q. 2021. Salt Leaching with Brackish Water during Growing Season Improves Cotton Growth and Productivity, Water Use Efficiency and Soil Sustainability in Southern Xinjiang. Water, 13 (18): 2602. (中科院 3, IF=3.4

[7] Xiao C , Zhang F, Li Y, Fan J, Xu X, Liu X. 2024. Optimal drip irrigation leaching amount and times enhance seed cotton yield and its stability by improving soil chemical environment and source-sink relationship. Field Crops Research 317, 109531

( Zone 1 , Chinese Academy of Sciences , IF=5.6 )


Books and textbooks

Graduate textbook: Agricultural Hydrology