Author
Listed:
- Muye Xing
(School of Agricultural Engineering, Jiangsu University, Zhenjiang 212013, China
Intelligent Equipment Research Center, Beijing Academy of Agriculture and Forestry Sciences, Beijing 100097, China
National Research Center of Intelligent Equipment for Agriculture, Beijing 100097, China
Key Laboratory of Agri-Informatics, Ministry of Agriculture, Beijing 100097, China)
- Yuan Long
(Intelligent Equipment Research Center, Beijing Academy of Agriculture and Forestry Sciences, Beijing 100097, China
National Research Center of Intelligent Equipment for Agriculture, Beijing 100097, China
Key Laboratory of Agri-Informatics, Ministry of Agriculture, Beijing 100097, China
Beijing Key Laboratory of Intelligent Equipment Technology for Agriculture, Beijing 100097, China)
- Qingyan Wang
(Intelligent Equipment Research Center, Beijing Academy of Agriculture and Forestry Sciences, Beijing 100097, China
National Research Center of Intelligent Equipment for Agriculture, Beijing 100097, China
Key Laboratory of Agri-Informatics, Ministry of Agriculture, Beijing 100097, China
Beijing Key Laboratory of Intelligent Equipment Technology for Agriculture, Beijing 100097, China)
- Xi Tian
(Intelligent Equipment Research Center, Beijing Academy of Agriculture and Forestry Sciences, Beijing 100097, China
National Research Center of Intelligent Equipment for Agriculture, Beijing 100097, China
Key Laboratory of Agri-Informatics, Ministry of Agriculture, Beijing 100097, China
Beijing Key Laboratory of Intelligent Equipment Technology for Agriculture, Beijing 100097, China)
- Shuxiang Fan
(Intelligent Equipment Research Center, Beijing Academy of Agriculture and Forestry Sciences, Beijing 100097, China
National Research Center of Intelligent Equipment for Agriculture, Beijing 100097, China
Key Laboratory of Agri-Informatics, Ministry of Agriculture, Beijing 100097, China
Beijing Key Laboratory of Intelligent Equipment Technology for Agriculture, Beijing 100097, China)
- Chi Zhang
(Intelligent Equipment Research Center, Beijing Academy of Agriculture and Forestry Sciences, Beijing 100097, China
National Research Center of Intelligent Equipment for Agriculture, Beijing 100097, China
Key Laboratory of Agri-Informatics, Ministry of Agriculture, Beijing 100097, China
Beijing Key Laboratory of Intelligent Equipment Technology for Agriculture, Beijing 100097, China)
- Wenqian Huang
(Intelligent Equipment Research Center, Beijing Academy of Agriculture and Forestry Sciences, Beijing 100097, China
National Research Center of Intelligent Equipment for Agriculture, Beijing 100097, China
Key Laboratory of Agri-Informatics, Ministry of Agriculture, Beijing 100097, China
Beijing Key Laboratory of Intelligent Equipment Technology for Agriculture, Beijing 100097, China)
Abstract
Seed vigor is one of the essential contents of agricultural research. The decline of seed vigor is described as an inevitable process. Recent studies have shown that the oxidative damage caused by reactive oxygen species (ROS) is the main reason for the destruction of various chemicals in seeds and eventually evolves into seed death. The traditional vigor tests, such as the seed germination test and TTC staining, are commonly used to assess seed vigor. However, these methods often need a large number of experimental samples, which will bring a waste of seed resources. At present, many new methods that are fast and nondestructive to seeds, such as vibrational spectroscopic techniques, have been used to test seed vigor and have achieved convincing results. This paper is aimed at analyzing the microchanges of seed-vigor decline, summarizing the performance of current seed-vigor test methods, and hoping to provide a new idea for the nondestructive testing of a single seed vigor by combining the physiological alterations of seeds with chemometrics algorithms.
Suggested Citation
Muye Xing & Yuan Long & Qingyan Wang & Xi Tian & Shuxiang Fan & Chi Zhang & Wenqian Huang, 2023.
"Physiological Alterations and Nondestructive Test Methods of Crop Seed Vigor: A Comprehensive Review,"
Agriculture, MDPI, vol. 13(3), pages 1-25, February.
Handle:
RePEc:gam:jagris:v:13:y:2023:i:3:p:527-:d:1077283
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