Benchang Zhang^1,2 , Jinghuan Zhu² , Min Fan² , Weidong  Wang² , Wei Hua²

1 College of Advanced Agricultural Sciences, Zhejiang A&F University, Hangzhou, 311300, Zhejiang, China
2 Institute of Crop and Nuclear Technology Utilization, Zhejiang Academy of Agricultural Sciences, Hangzhou, 310021, Zhejiang, China
Author    Correspondence author
Molecular Plant Breeding, 2024, Vol. 15, No. 5   doi: 10.5376/mpb.2024.15.0023
Received: 13 Aug., 2024    Accepted: 15 Sep., 2024    Published: 23 Sep., 2024

This is an open access article published under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Zhang B.C., Zhu J.H., Fan M., Wang W.D., and Hua W., 2024, Utilizing high-throughput phenotyping for disease resistance in wheat, Molecular Plant Breeding, 15(5): 233-246 (doi: 10.5376/mpb.2024.15.0023)

High-throughput phenotyping (HTP) has emerged as a transformative approach in the field of plant breeding, offering non-destructive, rapid, and precise quantification of a wide array of plant traits. This study explores the utilization of HTP for enhancing disease resistance in wheat. By leveraging advanced imaging technologies and automated data collection systems, HTP platforms can monitor and evaluate phenotypic variations in large wheat populations under diverse environmental conditions. The integration of various sensors, including RGB, hyperspectral, and thermal cameras, enables comprehensive assessment of disease impact and plant responses. This study highlights the potential of HTP to accelerate the identification of disease-resistant genotypes, thereby facilitating the development of robust wheat varieties. The findings underscore the importance of high-resolution imaging, data management infrastructure, and advanced analytical techniques in optimizing HTP applications for crop improvement.

High-throughput phenotyping; Disease resistance; Wheat breeding; Imaging technologies; Crop improvement