Physiological Alterations and Nondestructive Test Methods of Crop Seed Vigor: A Comprehensive Review
文献类型： 外文期刊
作者： Xing, Muye 1 ; Long, Yuan 2 ; Wang, Qingyan 2 ; Tian, Xi 2 ; Fan, Shuxiang 2 ; Zhang, Chi 2 ; Huang, Wenqian 2 ;
作者机构： 1.Jiangsu Univ, Sch Agr Engn, Zhenjiang 212013, Peoples R China
2.Beijing Acad Agr & Forestry Sci, Intelligent Equipment Res Ctr, Beijing 100097, Peoples R China
3.Natl Res Ctr Intelligent Equipment Agr, Beijing 100097, Peoples R China
4.Minist Agr, Key Lab Agriinformat, Beijing 100097, Peoples R China
5.Beijing Key Lab Intelligent Equipment Technol Agr, Beijing 100097, Peoples R China
关键词： physiological factors; novel test; mechanism
期刊名称：AGRICULTURE-BASEL （ 影响因子：3.6； 五年影响因子：3.6 ）
ISSN：
年卷期： 2023 年 13 卷 3 期
页码：
收录情况： SCI
摘要： 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.
- 相关文献
作者其他论文 更多>>
-
Identification of mould varieties infecting maize kernels based on Raman hyperspectral imaging technique combined with multi-channel residual module convolutional neural network
作者：Long, Yuan;Tang, Xiuying;Zhang, Bin;Long, Yuan;Fan, Shuxiang;Zhang, Chi;Huang, Wenqian;Long, Yuan;Fan, Shuxiang;Zhang, Chi;Huang, Wenqian
关键词：Raman hyperspectral imaging; Maize kernels; Mould varieties; Residual unit; Nondestructive detection
-
Fusion of spectra and texture data of hyperspectral imaging for prediction of myoglobin content in nitrite-cured mutton
作者：Wan, Guoling;Liu, Guishan;He, Jianguo;Li, Yan;Guo, Mei;Wan, Guoling;Fan, Shuxiang;Fan, Shuxiang;Wang, Wei;Ma, Chao;Cheng, Lijuan
关键词：Hyperspectral imaging; Texture data; Myoglobin; Spectral dimensionality reduction; Information fusion
-
Non-destructive detection of single-seed viability in maize using hyperspectral imaging technology and multi-scale 3D convolutional neural network
作者：Fan, Yaoyao;Zhao, Chunjiang;Fan, Yaoyao;An, Ting;Wang, Qingyan;Yang, Guang;Huang, Wenqian;Wang, Zheli;Zhao, Chunjiang;Tian, Xi
关键词：viability detection; maize seeds; hyperspectral imaging; YOLOv7 model; 3D convolution neural network
-
Assessment of protein content and insect infestation of maize seeds based on on-line near-infrared spectroscopy and machine learning
作者：Wang, Zheli;Wang, Zheli;Huang, Wenqian;Li, Jiangbo;Liu, Sanqing;Fan, Shuxiang
关键词：Maize seeds; Near-infrared spectra; On-line detection; Machine learning
-
Monitoring the major taste components during black tea fermentation using multielement fusion information in decision level
作者：An, Ting;Li, Guanglin;Zhao, Chunjiang;An, Ting;Dong, Chunwang;An, Ting;Wang, Zheli;Fan, Shuxiang;Huang, Wenqian;Tian, Xi;Duan, Dandan;Zhao, Chunjiang
关键词：Black tea; Hyperspectral imaging; Electrical properties; Data fusion; Stacking combination strategy
-
Development of a General Prediction Model of Moisture Content in Maize Seeds Based on LW-NIR Hyperspectral Imaging
作者：Wang, Zheli;Wang, Zheli;Li, Jiangbo;Zhang, Chi;Fan, Shuxiang
关键词：general prediction model; hyperspectral imaging; maize seed; moisture content
-
Detection of early bruises on apples using hyperspectral reflectance imaging coupled with optimal wavelengths selection and improved watershed segmentation algorithm
作者：Tian, Xi;He, Xin;Zhang, Chi;Li, Jiangbo;Huang, Wenqian;Liu, Xuefeng;Liu, Xuefeng;Huang, Wenqian
关键词：hyperspectral imaging; bruise detection; band ratio image; apple; improved watershed segmentation algorithm
