Effects of PEG priming and water uptake pattern of maize seeds based on low-field nuclear magnetic resonance

被引：0
|
作者：
Zhang, Chunmei [1 ,2 ]
Meng, Jingwu [1 ]
Luo, Bin [1 ]
Kang, Kai [1 ]
Gu, Ying [1 ]
Sun, Qun [2 ]
Zhang, Han [1 ]
机构：
[1] Intelligent Equipment Research Center, Beijing Academy of Agriculture and Forestry Sciences, Beijing,100097, China
[2] College of Agriculture, China Agricultural University, Beijing,100093, China
来源：
Nongye Gongcheng Xuebao/Transactions of the Chinese Society of Agricultural Engineering | 2024年 / 40卷 / 19期
关键词：
Polyethylene glycol (PEG) is one of the most commonly used seed initiators; in order to regulate the seed water uptake during seed priming. This study aims to investigate the effect of seed water uptake on the priming behavior under different PEG concentrations and priming times using low-field nuclear magnetic resonance (LF-NMR) technology. The aqueous phase state of maize seeds was dynamically monitored to be initiated by the different PEG concentrations. A prediction model of maize seed germination was constructed to clarify the relationship between seed water uptake and priming effect using machine learning. LF-NMR data was collected from the maize seeds at each node of priming time. A systematic analysis was carried out to determine the effects of PEG priming on seed germination and seedling growth. The optimal conditions of priming treatment were determined to evaluate the physical and chemical indicators; such as the vigor index of maize seeds. The pattern of water uptake was obtained in the maize seeds during priming. A regression model was also constructed to predict the priming effect of maize seeds. The main findings were summarized as follows: Firstly; there were some effects of PEG priming on the germination and seedling growth of maize seeds. Two-way ANOVA analysis showed that there were highly significant effects of PEG priming time and priming concentration on the germination indexes of maize seeds. Among them; the effect of priming time on the germination indexes of maize was much larger than that of priming concentration. With the increase of priming time (0-48 h); the viability of maize seeds showed a tendency to increase and then decrease; where the most suitable priming time was 16 h. Secondly; the water uptake of maize seed was elucidated during priming. The internal water of maize seeds was divided into two kinds of water components: bound water (0.1 ms 21 22 2 relaxation time. With the increase of priming time (0-48 h); the content of bound water increased and then gradually stabilized; while the content of free water continued to rise. The total water content increased and then gradually slowed down. The content of bound water had just entered the stagnation stage; while the increasing trend of A21 signal amplitude decreased basically without increase; indicating an appropriate indicator to judge the priming time of maize seeds. Finally; the medium Gaussian support vector machine (SVM) model and exponential gaussian process regression (GPR) model were constructed to assess the priming effect of maize seeds; respectively; according to the data before and after the screening of LF-NMR feature parameters. Among them; the exponential GPR model was achieved in the validation set R2 of 0.920 for maize seed germination after feature screening; which was better than 0.900 before that. The water absorption kinetics of the seed was elucidated to verify the priming efficacy. The experiment proved that the moisture variations during seed priming detected by LF-NMR can be expected for the rapid screening of the optimal priming conditions. The finding can also provide a new idea for the parameters setting and rapid evaluation during corn seed priming. © 2024 Chinese Society of Agricultural Engineering. All rights reserved;
D O I：
10.11975/j.issn.1002-6819.202405167
中图分类号：
学科分类号：
摘要：
引用
收藏
页码：292 / 299
相关论文
共 50 条
  • [31] Pulsed magnetic field generation suited for low-field unilateral nuclear magnetic resonance systems
    Gaunkar, Neelam Prabhu
    Selvaraj, Jayaprakash
    Theh, Wei-Shen
    Weber, Robert
    Mina, Mani
    AIP ADVANCES, 2018, 8 (05)
  • [32] Low-field nuclear magnetic resonance analysis of the effects of heating temperature and time on braised beef
    Sun, Hong-Xia
    Huang, Feng
    Ding, Zhen-Jiang
    Zhang, Chun-Jiang
    Zhang, Liang
    Zhang, Hong
    INTERNATIONAL JOURNAL OF FOOD SCIENCE AND TECHNOLOGY, 2017, 52 (05): : 1193 - 1202
  • [33] Water-holding capacity and water content of myofibrillar protein gel by low-field nuclear magnetic resonance
    Li, Yin
    Li, Xia
    Zhang, Chun-Hui
    Sun, Hong-Mei
    Dong, Xian-Bing
    Xie, Xiao-Lei
    Wang, Chun-Qing
    Modern Food Science and Technology, 2013, 29 (11) : 2777 - 2781
  • [34] Microscopic mechanism of gas-water two-phase flow based on low-field nuclear magnetic resonance
    Zha, Wei
    Lin, Baiquan
    Liu, Tong
    Liu, Ting
    Yang, Wei
    Wang, Wenyuan
    GAS SCIENCE AND ENGINEERING, 2025, 134
  • [35] Characteristic pore size of nonwoven geotextiles based on low-field nuclear magnetic resonance technology
    Zhang, Xianlei
    Yang, Pengpeng
    Ma, Shaoshuai
    Wu, Yunyun
    GEOTEXTILES AND GEOMEMBRANES, 2025, 53 (02) : 607 - 618
  • [36] Migration and distribution of LNAPL in binary structure stratum based on low-field nuclear magnetic resonance
    Li S.
    Dou Z.
    Chen Y.
    Ma X.
    Wang J.
    Zhou Z.
    Zhongnan Daxue Xuebao (Ziran Kexue Ban)/Journal of Central South University (Science and Technology), 2023, 54 (05): : 1970 - 1977
  • [37] Low-field nuclear magnetic resonance for the determination of water diffusion characteristics and activation energy of wheat drying
    Jia, Chao
    Wang, Li
    Yin, Shaowu
    Liu, Chuanping
    Tong, Lige
    DRYING TECHNOLOGY, 2020, 38 (07) : 917 - 927
  • [38] A low-field nuclear magnetic resonance DNA-hydrogel nanoprobe for bisphenol A determination in drinking water
    Jing-Yi Wang
    Qi-Yue Guo
    Zi-Yi Yao
    Na Yin
    Shu-Yue Ren
    Ye Li
    Shuang Li
    Yuan Peng
    Jia-Lei Bai
    Bao-An Ning
    Jun Liang
    Zhi-Xian Gao
    Microchimica Acta, 2020, 187
  • [39] Analysis of Petrophysical Characteristics and Water Movability of Tight Sandstone Using Low-Field Nuclear Magnetic Resonance
    Li, Chaozheng
    Liu, Guangdi
    Cao, Zhe
    Yuan, Wei
    Wang, Peng
    You, Yuan
    NATURAL RESOURCES RESEARCH, 2020, 29 (04) : 2547 - 2573
  • [40] Relationship between meat structure, water mobility, and distribution: A low-field nuclear magnetic resonance study
    Bertram, HC
    Purslow, PP
    Andersen, HJ
    JOURNAL OF AGRICULTURAL AND FOOD CHEMISTRY, 2002, 50 (04) : 824 - 829
12345