Related Experiment Video
Updated: May 14, 2026

Imaging and Analysis for Quantifying Maize (Zea mays) Abiotic Stress Phenotypes
Published on: March 28, 2025
[Hyperspectral characteristics of spring maize from jointing to silking stage under drought stress]
Hong-Bo Wang1, Rui Feng, Rui-Peng Ji
1Institute of Atmospheric Environment, China Meteorological Administration, Shenyang 110016, China. whb101@sina.com
Abstract:
By monitoring hyperspectral characteristics of spring maize from jointing to silking stage under different drought stress in Jinzhou of Liaoning, China, its spectral characteristics of visible light, red edge region and near infrared were researched, and the correlation of spectral reflectivity of different wavelength with soil moisture was analyzed. The results show that during the jointing to siking stage, the spectral reflectivity of 350-710 nm has significant negative correlation to soil moisture of 0 and 20 cm depth, but the spectral reflectivity of 710-1 300 nm has positive correlation to soil moisture of 0, 20, 40 and 60 cm, and the significant correlation is at 40 cm depth. The spectral reflectivity of red edge region (680-760 nm) which is relatively sensitive and stable, can better reflect the growth status of the plant, and the reflectivity variation per unit wavelength in this region increased at first and then decreased. The trend of polynomial regression curve of red edge parameters and soil moisture of different depth (0-60 cm) is similar, which shows that soil moisture of 0 and 20 cm increased at first and then decreased, but that of 40 cm and 60cm was opposite.
More Related Videos
06:28High Throughput Image-Based Phenotyping for Determining Morphological and Physiological Responses to Single and Combined Stresses in Potato
Published on: June 7, 2024
08:31Kinematic Analysis of Cell Division and Expansion: Quantifying the Cellular Basis of Growth and Sampling Developmental Zones in Zea mays Leaves
Published on: December 2, 2016
Related Concept Videos
Light Acquisition
Responses to Drought and Flooding