Wei Han

Dr. Wei Han


Research Focus & Metrics

Academic Career Length

8Years (2019-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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17 December 2019 in Sustainability
Verified
Journal Article
Open access
PDF file
ZPZhifang Pei
Zhifang Pei
Shibo FangShibo Fang
Shibo Fang
WYWunian Yang
Wunian Yang
LWLei Wang
Lei Wang
MWMingyan Wu
Mingyan Wu
NDNguyen-Khoi Dao
Nguyen-Khoi Dao
There are currently only two methods (the within-growing season method and the inter-growing season method) used to analyse the normalized difference vegetation index (NDVI)–climate relationship at the monthly time scale. What are the differences between the two methods, and why do they exist? Which method is more suitable for the analysis of the relationship between them? In this study, after obtaining NDVI values (GIMMS NDVI3g) near meteorological stations and meteorological data of Inner Mongolian grasslands from 1982 to 2015, we analysed temporal changes in NDVI and climate factors, and explored the difference in Pearson correlation coefficients (R) between them via the above two analysis methods and analysed the change in R between them at multiple time scales. The research results indicated that: (1) NDVI was affected by temperature and precipitation in the area, showing periodic changes, (2) NDVI had a high value of R with climate factors in the within-growing season, while the significant correlation between them was different in different months in the inter-growing season, (3) with the increase in time series, the value of R between NDVI and climate factors showed a trend of increase in the within-growing season, while the value of R between NDVI and precipitation decreased, but then tended toward stability in the inter-growing season, and (4) when exploring the NDVI–climate relationship, we should first analyse the types of climate in the region to avoid the impacts of rain and heat occurring during the same period, and the inter-growing season method is more suitable for the analysis of the relationship between them.

8 August 2024 in BMC Plant Biology
Verified
Journal Article
Open access
PDF file
MGMin Gong
Min Gong
MKMeng Kong
Meng Kong
QHQiuyan Huo
Qiuyan Huo
JHJiuxing He
Jiuxing He
JHJuan He
Juan He
GLGuohua Lv
Guohua Lv
Constant-frequency ultrasonic treatment helped to improve seed germination. However, variable-frequency ultrasonic treatment on maize seed germination were rarely reported. In this study, maize seeds were exposed to 20–40 kHz ultrasonic for 40 s. The germination percentage and radicle length of maize seeds increased by 10.4% and 230.5%. Ultrasonic treatment also significantly increased the acid protease, α-amylase, and β-amylase contents by 96.4%, 73.8%, and 49.1%, respectively. Transcriptome analysis showed that 11,475 differentially expressed genes (DEGs) were found in the ultrasonic treatment and control groups, including 5,695 upregulated and 5,780 downregulated. Metabolic pathways and transcription factors (TFs) were significantly enriched among DEGs after ultrasonic treatment. This included metabolism and genetic information processing, that is, ribosome, proteasome, and pyruvate metabolism, sesquiterpenoid, triterpenoid, and phenylpropanoid biosynthesis, and oxidative phosphorylation, as well as transcription factors in the NAC, MYB, bHLH, WRKY, AP2, bZIP, and ARF families. Variable-frequency ultrasonic treatment increased auxin, gibberellin, and salicylic acid by 5.5%, 37.3%, and 28.9%, respectively. Abscisic acid significantly decreased by 33.2%. The related DEGs were upregulated and downregulated to varying degrees. Seed germination under the abiotic stress conditions of salt stress (NaCl solution), drought (PEG solution), and waterlogging (water-saturated sand bed) under ultrasonic treatment were promoted, radicle length was significantly increased by 30.2%, 30.5%, and 27.3%, respectively; and germination percentage by 14.8%, 20.1%, and 21.6%, respectively. These findings provide new insight into the mechanisms through ultrasonic to promote maize seed germination.

21 November 2023 in Frontiers in Plant Science
Verified
Journal Article
Open access
MGMin Gong
Min Gong
JHJiuxing He
Jiuxing He
MKMeng Kong
Meng Kong
QHQiuyan Huo
Qiuyan Huo
YJYawen Jiang
Yawen Jiang
GLGuohua Lv
Guohua Lv
Introduction: Salt stress in seed germination and early seedling growth is the greatest cause of crop loss in saline-alkali soils. Microbial seed coating is an effective way to promote plant growth and salt resistance, but these coatings suffer from poor seed adhesion and low survival rates under typical storage conditions.Methods: In this study, the marine bacterium Pontibacter actiniarum DSM 19842 from kelp was isolated and microencapsulated with calcium alginate using the emulsion and internal gelation method.Results: Compared to unencapsulated seeds, the spherical microcapsules demonstrated a bacterial encapsulation rate of 65.4% and survival rate increased by 22.4% at 25°C for 60 days. Under salt stress conditions, the seed germination percentage of microcapsule-embedded bacteria (M-Embed) was 90%, which was significantly increased by 17% compared to the germination percentage (73%) of no coating treatment (CK). Root growth was also significantly increased by coating with M-Embed. Chlorophyll, peroxidase, superoxide dismutase, catalase, proline, hydrogen peroxide and malondialdehyde levels indicated that the M-Embed had the best positive effects under salt stress conditions.Discussion: Therefore, embedding microorganisms in suitable capsule materials provides effective protection for the survival of the microorganism and this seed coating can alleviate salt stress in wheat. This process will benefit the development of sustainable agriculture in coastal regions with saline soils.

24 March 2020 in Remote Sensing
Verified
Journal Article
Open access
PDF file
LWLei Wang
Lei Wang
Shibo FangShibo Fang
Shibo Fang
ZPZhifang Pei
Zhifang Pei
YZYongchao Zhu
Yongchao Zhu
NDNguyen-Khoi Dao
Nguyen-Khoi Dao
WHWei Han
Wei Han
Land surface soil moisture (SM) monitoring is crucial for global water cycle and agricultural dryness research. The FengYun-3C Microwave Radiation Imager (FY-3C/MWRI) collects various Earth geophysical parameters, and the FY-3C/MWRI SM product (FY-3C VSM) has been widely applied to determine regional-scale surface SM contents. The FY-3C VSM retrieval accuracy in different seasons was evaluated by calculating the root mean square error (RMSE), unbiased RMSE (ubRMSE), mean absolute error (MAE), and correlation coefficient (R) values between the retrieved and measured SM. A lower accuracy in July (RMSE = 0.164 cm3/cm3, ubRMSE = 0.130 cm3/cm3, and MAE = 0.120 cm3/cm3) than in the other months was found due to the impacts of vegetation and climate variations. To show a detailed relationship between SM and multiple factors, including vegetation coverage, location, and elevation, quantile regression (QR) models were used to calculate the correlations at different quantiles. Except for the elevation at the 0.9 quantile, the QR models of the measured SM with the FY-3C VSM, MODIS NDVI, latitude, and longitude at each quantile all passed the significance test at the 0.005 level. Thus, the MODIS NDVI, latitude, and longitude were selected for error correction during the surface SM retrieval process using FY-3C VSM. Multivariate linear regression (MLR) and multivariate back-propagation neural network (MBPNN) models with different numbers of input variables were built to improve the SM monitoring results. The MBPNN model with three inputs (MBPNN-3) achieved the highest R (0.871) and lowest RMSE (0.034 cm3/cm3), MAE (0.026 cm3/cm3), and mean relative error (MRE) (20.7%) values, which were better than those of the MLR models with one, two, or three independent variables (MLR-1, -2, -3) and those of the MBPNN models with one or two inputs (MBPNN-1, -2). Then, the MBPNN-3 model was applied to generate the regional SM in the United States from January 2019 to October 2019. The estimated SM images were more consistent with the measured SM than the FY-3C VSM. This work indicated that combining FY-3C VSM data with the MBPNN-3 model could provide precise and reliable SM monitoring results.

7 November 2024 in Plants
Verified
Journal Article
Open access
PDF file
QHQiuyan Huo
Qiuyan Huo
MGMin Gong
Min Gong
YJYawen Jiang
Yawen Jiang
XYXi Yang
Xi Yang
MKMeng Kong
Meng Kong
GLGuohua Lv
Guohua Lv
Soil salinization is one of the major challenges for modern agriculture, posing a great threat to soil health and food security. Field experiments were conducted to evaluate the effect of seed coating on soil environment and maize growth in saline soils. Three treatments were applied to maize seeds: coating with a microencapsulated microbial agent (ME), coating with microbial only (MB), and no coating (CK). High-throughput sequencing of soil bacterial and fungal 16S and ITS rRNA genes was performed using the Illumina HiSeq platform to analyze the effects of these treatments on soil bacterial and fungal diversity and community structure. Additionally, the influence of different treatments on endogenous hormones and yield of maize were investigated. It was found that the coating with a microencapsulated microbial agent led to decreases in pH and electrical conductivity (EC), while increasing the content of soil available phosphorus. This coating improved soil microbial diversity, significantly increasing the relative abundance of the main bacteria genera, Bacillus (34.9%), and the main fungal genera, Mortierella (190.4%). The treatment also significantly enhanced indole-3-acetic acid (IAA) by 51.2%, contributing to improvements in resistance to salt stress. The germination rate increased by 22.9%, the 100-grain weight increased by 12.7%, and grain yield increased by 14.3%. The use of the microencapsulated microbial agent effectively mitigated the adverse effects of salt stress on maize plants. This approach is beneficial for promoting sustainable agriculture in saline soils.

23 July 2025 in Frontiers in Plant Science
Verified
Journal Article
Open access
PDF file
XYXi Yang
Xi Yang
JHJiuxing He
Jiuxing He
LXLifeng Xu
Lifeng Xu
MKMeng Kong
Meng Kong
QHQiuyan Huo
Qiuyan Huo
GLGuohua Lv
Guohua Lv
Soil salinity is an increasingly critical constraint on crop establishment and yield stability, especially in marginal and irrigated agricultural zones. Despite its nutritional and economic value, the mechanistic basis of salt tolerance in Abelmoschus esculentus (okra) remains poorly defined. Here, we integrated physiological phenotyping with transcriptome profiling to elucidate the stage-specific strategies employed by okra in response to NaCl stress. Our results revealed a bifurcated salt response: germination was highly sensitive, with complete inhibition at ≥ 0.5% NaCl, whereas seedling growth exhibited a hormetic pattern, being promoted under mild salinity (0.1–0.3%) and suppressed at higher levels. Photosynthetic integrity and photoprotection were preserved under low salinity but declined under severe stress, accompanied by increased oxidative burden. Transcriptomic analyses revealed that moderate salt stress elicited the coordinated activation of ion homeostasis genes, calcium signaling components, and GH3-family auxin-responsive genes (log2FC = 2.3–2.5), suggesting a critical role for dynamic auxin conjugation in growth maintenance under ionic stress. Concurrently, ROS detoxification, cytoskeletal remodeling, and metabolic adjustments were induced to support cellular stability. These findings defines okra’s salt tolerance threshold, reveals key molecular targets for genetic improvement, and provides a scientific foundation for the sustainable deployment of salt-tolerant okra in saline agriculture and land reclamation.