Zhang Li | Agronomy | Research Excellence Award

Ms. Zhang Li | Agronomy | Research Excellence Award

College of Animal Science, Xinjiang Agricultural University and Institute of Animal Husbandry, Xinjiang Academy of Animal Sciences | China

Ms. Zhang Li is a Master’s Candidate at the College of Animal Science, Xinjiang Agricultural University, jointly affiliated with the Institute of Animal Husbandry, Xinjiang Academy of Animal Science, specializing in Animal Genetics, Breeding and Reproduction with a strong research focus on gene-edited livestock improvement and molecular mechanisms governing growth and development in Chinese Merino sheep (Xinjiang type); she has actively contributed as a core member to several major national and autonomous region-level scientific and technological programs including high-impact initiatives on efficient sheep breeding technologies, precision breeding strategies for cattle and sheep, and the establishment of advanced in vitro embryo production systems supporting the creation of gene-edited sheep; she is proficient in CRISPR/Cas9 gene editing, RNA-seq transcriptome analysis, and RT-qPCR validation and has applied these technologies to investigate the regulatory pathways associated with MSTN gene knockout, leading to the identification of differentially expressed genes and key molecular regulators influencing body weight, body measurements, and muscle development; her first-author publication in a leading Q1 SCI-indexed journal presents significant insights into the effects of MSTN gene editing on growth performance and muscle transcriptomic profiles in Chinese Merino sheep, contributing valuable knowledge to the field of molecular breeding; she has collaborated closely with the Xinjiang Academy of Animal Science on gene-edited sheep growth performance evaluation and played a role in the development of the Xinjiang Uygur Autonomous Region Sheep Engineering Research Center; her work supports regional livestock improvement programs and provides a scientific foundation for enhancing productivity, genetic advancement, and sustainable development within the sheep industry, positioning her as a promising young researcher in animal genetics and molecular breeding.

Profile : Orcid 

Featured Publications : 

Zhang, L., Li, P., Wang, X., Kong, M., Wu, W., & Zheng, W. (n.d.). Effects of MSTN gene knockout on growth performance and muscle transcriptome in Chinese Merino sheep (Xinjiang type). Animals. Advance online publication.

Thainna Waldburger | Agronomy | Best Researcher Award

Dr. Thainna Waldburger | Agronomy | Best Researcher Award

Wissenschaftliche Technische Mitarb at Digital Group, Agroscope Tänikon | Switzerland

Dr. Thainna Waldburger is a Swiss-Brazilian researcher at the Digital Group, Agroscope Tänikon, Switzerland, whose scientific contributions in precision agriculture and environmental sustainability have earned her recognition as an emerging leader in agronomy. With a Ph.D. from ETH Zurich focusing on the use of plant water status indicators to optimize cacao and apple cropping systems, she integrates environmental science and technology to address climate adaptation challenges. Her professional experience spans over eight years of research in smart farming, soil management, GIS analysis, and remote sensing, collaborating with major partners such as Nestlé, Syngenta, and CSEM to develop innovative agricultural practices that enhance water efficiency and crop productivity. Dr. Waldburger’s research interests include precision farming, environmental monitoring, resource-efficient agriculture, and sustainable land-use planning. Skilled in GIS, data analysis, sensor applications, and project coordination, she effectively translates scientific insights into practical farming solutions. Her scholarly record includes six publications with 18 citations and an h-index of 2, reflecting her growing impact in the field. Recognized for her interdisciplinary expertise and commitment to sustainable development, Dr. Waldburger continues to advance scientific innovation that supports global agricultural resilience—making her an outstanding candidate for the Best Researcher Award.

Profile : Scopus | ORCID

Featured Publications

Automated irrigation of apple trees based on dendrometer sensors
Citations: 2

Growing cocoa in semi-arid climate and the rhythmicity of stem growth and leaf flushing determined by dendrometers

Transversal distribution of a spray drone applying different nozzles and measuring methods