Jian Kang

Antioxidant Metabolism Underlies Different Metabolic Strategies for Primary Root Growth Maintenance under Water Stress in Cotton and Maize

R. E. Sharp, M. Oliver, D. Alexander, 2022, Antioxidants.

Machine learning predicts ecological risks of nanoparticles to soil microbial communities.

G. Bao, H. Qian, Tao Lu, 2022, Environmental pollution.

Responses of root system architecture to water stress at multiple levels: A meta-analysis of trials under controlled conditions

Xinyue Kou, Weihua Han, Jian Kang, 2022, Frontiers in Plant Science.

Comparative Transcriptomics Reveal Metabolic Rather than Genetic Control of Divergent Antioxidant Metabolism in the Primary Root Elongation Zone of Water-Stressed Cotton and Maize

R. E. Sharp, M. Oliver, Sidharth Sen, 2023, Antioxidants.

Development of a machine-learning model to identify the impacts of pesticides characteristics on soil microbial communities from high-throughput sequencing data.

H. Qian, Baolan Hu, Tao Lu, 2022, Environmental microbiology.

Machine learning predicts the impact of antibiotic properties on the composition and functioning of bacterial community in aquatic habitats.

Zhigao Zhou, H. Qian, Tao Lu, 2022, The Science of the total environment.

Effects of chiral herbicide dichlorprop on Arabidopsis thaliana metabolic profile and its implications for microbial communities in the phyllosphere

H. Qian, Tao Lu, Zhenyan Zhang, 2022, Environmental Science and Pollution Research.