Since joining CAU’s Crop Functional Genomics and Molecular Breeding Center in late 2021, I’ve dedicated myself to enhancing maize variety adaptability models. I’ve developed a data-driven model that harmoniously merges crop growth simulation with critical environmental parameters—soil, temperature, precipitation, and solar radiation—and incorporates comprehensive crop management. This model excels at assessing risks from photothermal stress, drought, lodging, and diseases throughout the maize lifecycle, with a focus on China’s Northeast and Huang-Huai-Hai regions. By analyzing historical cultivation conditions and extensive yield and trait data, it addresses the principle of “Right Variety, Right Place” effectively. This strategy provides insights for strategic variety positioning and guides the development of new maize varieties, optimizing agricultural success and resource efficiency.

Collaborating with the Precision Agriculture Research Team, I’ve contributed to advancing high-throughput phenotyping, essential for crop management and breeding. My focus includes:

• Utilizing spectroscopy to measure crop nitrogen remobilization, vital for yield and health.
• Innovating with imaging spectroscopy to evaluate grain protein content, ensuring cereal nutritional quality.
• Analyzing maize traits genetically through leaf phenotyping, guiding the development of improved varieties.

My expertise centers on developing sophisticated crop growth models that offer tailored management strategies to clients. I’ve spearheaded the creation of predictive models for maize diseases and pest outbreaks, effectively utilizing meteorological data and historical patterns of pest occurrences. With rigorous analysis, I’ve perfected the HybridMaize model using a decade of data, specifically for the unique agricultural landscapes of Xinjiang, Inner Mongolia, and Heilongjiang—regions with extensive farming expanses. This work has been crucial for optimizing cultivation across nearly 70,000 hectares. The refined models underpin comprehensive guidelines that cater to farmers' needs, equipping them with accurate and actionable information for their crop management. This commitment to precision and service excellence has been instrumental in enhancing agricultural productivity and sustainability in the regions we serve. Responsibilities include:

• Analysing
• Modelling
• Deploying