Regions Of China Research Articles

Potential, economic and ecological benefits of sweet sorghum bio-industry in China

BackgroundSweet sorghum (Sorghum bicolor) displays an excellent potential to serve as a non-food bioenergy feedstock for bioethanol production in China due to its high potential yield on marginal lands. However, few studies have been conducted on the potential of sweet sorghum yield and appropriate industrial models in different marginal regions in China. This study explored the spatial distribution of potential sweet sorghum production using the Decision Support System for Agrotechnology Transfer (DSSAT) model and proposed three typical industrial models of sweet sorghum industry to calculate their economic and ecological benefits.ResultsThe results indicate that considering the factors of land use, annual precipitation, soil salinity, soil pH, and accumulated temperature, approximately 32.23 million ha of marginal land are suitable for sweet sorghum cultivation in China, and 130 million tonnes (t) of ethanol can be produced. Further, the development of the sweet sorghum industry under the three models can generate 1425.49 billion CNY potential, approximately accounting for 3.57% of industrial added value in China if measured against 2023 levels, and reduce CO2 emissions by 4.68 million t.ConclusionsThis study provides an innovative perspective for the multi-industry large-scale promotion of sweet sorghum in different marginal lands based on the high spatial resolution Geographic Information System (GIS) data by the DSSAT model with a Life Cycle Assessment (LCA) method, and this applies not only to China but also to the worldwide and other types of energy plants.

Chemical Profiles of Particulate Matter Emitted from Anthropogenic Sources in Selected Regions of China

Particulate matter (PM) emissions from anthropogenic sources contribute substantially to air pollution. The unequal adverse health effects caused by source-emitted PM emphasize the need to consider the discrepancy of PM-bound chemicals rather than solely focusing on the mass concentration of PM when making air pollution control strategies. Here, we present a dataset about chemical compositions of real-world PM emissions from typical anthropogenic sources in China, including industrial (power, industrial boiler, iron & steel, cement, and other industrial process), residential (coal/biomass burning, and cooking), and transportation sectors (on-road vehicle, ship, and non-exhaust emission). The data was obtained under the same strict quality control condition on field measurements and chemical analysis, minimizing the uncertainty caused by different study approaches. The concentrations of PM-bound chemical components, including toxic elements and PAHs, exhibit substantial discrepancies among different emission sectors. This dataset provides experimental data with informative inputs to emission inventories, air quality simulation models, and health risk estimation. The obtained results can gain insight into understanding on source-specific PMs and tailoring effective control strategies.

Study on the prehistoric decorated spindle whorls in Haidai region of China

Spindle whorls are a kind of spinning tools of crucially important in prehistoric period. Haidai region is one of the main historical and cultural areas of prehistoric China, and had a relatively developed textile handicraft production, where a large number of spindle whorls were unearthed, including many decorated ones. In order to make clear the uses of the decorated spindle whorls and the meanings of the patterns on them, the data of prehistoric decorated spindle whorls unearthed in archaeological sites of the period from Beixin Culture to Yueshi Culture in Haidai region of China were collected and analyzed, and the morphological data (dimension and shapes) of them were compared with that of undecorated ones. The patterns on the decorated spindle whorls were analyzed and classified, and the characteristics of the patterns in different cultural periods were studied, and based on this, the purpose of making decorated spindle whorls and the function and meanings of the patterns were discussed. The results showed that the range of morphological data of the decorated spindle whorls in Haidai region is consistent with that of undecorated ones belonging to the same period and unearthed in the same site, while compared with undecorated spindle whorls, decorated ones are more affected by regional culture and thus show different features from the ones unearthed in other archaeological sites belonging to the same cultural period. It is concluded that the most basic function of the decorated spindle whorls should be as practical tools for normal spinning production, and the patterns on them should have multiple meanings such as practical, decorative, distinctive and symbolic. The study of decorated spindle whorls can help us understand the prehistoric regional culture in Haidai region.

Redivision of reference intervals of the red blood cell distribution width in a healthy Chinese population based on natural geographic environment

Revealing the spatial distribution and regional differences of red blood cell distribution width (RDW) reference values in the healthy Chinese population is important for the monitoring, diagnosis and prevention of the top chronic diseases in the disease spectrum in China. Medical indicator data were matched with geographical data and environmental pollution data to predict RDW reference values for the whole region of China using ridge regression analysis, support vector machine and BP neural network. Taylor diagrams and assignment methods were used to select the optimal model, and the spatial distribution was mapped according to the prediction results of the optimal model, and the intervals of RDW reference values for different age groups of healthy people in China were redefined. It was suggested that the reference values of RDW in the young and middle-aged groups in China were divided into low-value areas in the north (12.31,12.80) and high-value areas in the south (12.80,13.18); the reference values of RDW in the elderly group were divided into low-value areas in the north (11.28,12.60) and high-value areas in the south (12.60,13.91).In turn, it can provide a more accurate reference basis in the monitoring, diagnosis and prevention of chronic diseases at the top of the disease spectrum.

The Impact of Urbanization on the Socio-Economic Status of Rural Migrants in China - A Comparison and Analysis for the Pearl River Delta and Yangtze River Delta Regions

The Pearl River Delta and Yangtze River Delta regions in China are two key areas of rapid economic development, and research has found that a large number of migrants from rural areas have been formed as a result of the rapid development of the urban agglomerations in the region, however, there is still a certain research gap on the comparison of the rural labour force populations of the two regions due to the different attractiveness of the rural transfer population in the two regions as well as the differences in the various local policies. Therefore, this paper reads the literature to compare the impact of the progress of urbanization in the Pearl River Delta and Yangtze River Delta on the economic status of rural migrants in China. The study finds that the Yangtze River Delta mainly attracts high-end technical talents while the Pearl River Delta attracts more migrant workers. Therefore, the governments of the two regions need to implement practical policies to provide migrants with corresponding protection.

Implementation Status and Suggestions of “Coal-to-gas” Policy in Beijing-Tianjin-Hebei Region of China

With the acceleration of industrialization for the past few years, the level of air pollution has also increased significantly. The Beijing-Tianjin-Hebei region is one of the regions that need to be improved urgently. The air pollutants produced by coal burning are the main source of pollution in this region, so it is of great practical necessity for the Beijing-Tianjin-Hebei region to replace coal burning with clean energy. At present, the status of the "coal-to-gas" policy of the Beijing-Tianjin-Hebei region has achieved remarkable results. With the strong support of the government, air pollution has been effectively improved. However, there are still many problems such as "one-size-fits-all" policy, imperfect financial subsidy mechanism, tight gas source, differentiated scope of policy implementation, and hidden dangers of rural equipment safety. For these reasons, the government should formulate differentiated policies according to local conditions, implement "coal-to-gas" and "coal-to-electricity" synchronously, improve the subsidy mechanism, strengthen technical and equipment support, enhance gas supply security, stabilize gas price and strengthen publicity and training.

Driving factors of molybdenum (Mo) bioconcentration in maize in the Longitudinal Range–Gorge Region of Southwestern China

Driving factors of molybdenum (Mo) bioconcentration in maize in the Longitudinal Range–Gorge Region of Southwestern China

Characterizing the oral and gastrointestinal microbiome associated with healthy aging: insights from long-lived populations in Northeastern China.

The oral and gastrointestinal (GI) tract microbiota in humans is susceptible to geographical influences and represents vital factors impacting healthy aging. The northeastern region of China, characterized by distinct dietary and climatic conditions, significantly influences the human microbiome composition. However, the microbial structure of the entire long-lived population in this area has not been evaluated. This study recruited a cohort of 142 individuals aged 55-102 residing in Northeast China, and their oral and gut microbiota were evaluated using full-length 16S rRNA gene amplicon sequencing. The results indicate that the oral and GI tract microbiota of long-lived individuals showed reduced microbial taxonomic richness and evenness compared to sub-longevity individuals. With aging, the core species experience a gradual decline in abundance, while subordinate species show an increase. The long-lived population exhibited a heightened ability to enrich beneficial bacteria including Akkermansia, Alistipes, Parabacteroides, and Eubacterium coprostanoligenes in the GI tract, which are associated with host metabolism and have the potential to act as probiotics, reducing the risks of unhealthy aging in the northeast population. Bifidobacterium sp. and Lactobacillus salivarius have been found to coexist in both the oral cavity and the GI tract of long-lived individuals. We hypothesize that beneficial bacterial taxa from the oral cavity colonize the GI tract more extensively in long-lived individuals compared to those with a shorter lifespan. These findings pave the way for identifying probiotic strains that can promote healthy aging in Northeast China.

English Reading and Writing Abilities Among Chinese University Students

In this study, a mixed research methodology will be used to assess the relationship between Chinese university students English reading and writing ability. The total number of participants in the study was 2900 from the three selected universities with a sample size of 340 based on the Raosoft calculator. These three universities are representative of the three regions of China and are all high performing schools, and the results of the study can be used as a framework to augment the need for improvement in some of the other schools in China. Results showed that most of the respondents are female sophomores majoring in Education.Most respondents believe that The impact of reading methods on learning outcomes and student interests and Innovation in understanding articles while reading are very important in terms of English reading ability in Innovation in understanding articles while reading. Most respondents believe that in terms of writing ability, The Behavior of Participating in English Writing has the greatest impact. When grouped by Sex, there are significant differences content. There is a significant relationship between English reading and writing ability. A proposed program to enhance Chinese university students English reading and writing abilities.

Infrastructure and the patterns of trade: An empirical look at China

Transport infrastructure plays an important role in economic growth, particularly for developing countries. Recently a burgeoning literature explores how transport infrastructure facilitates economic growth via the channel of trade. In this paper, we study this question in the context of China, but with several distinctions. First, we distinguish firms from different regions in China, and see how their trade behavior responds differently to changes in infrastructure. Second, we consider both export and domestic sales, with an eye toward the interplay between the two channels. Our estimation results reveal the presence of both regional heterogeneity and sales channel competition. For in-land provinces, an improvement in their transport infrastructure raises firms’ exports at the cost of domestic sales. Interestingly, the results are reversed for coastal provinces, mainly driven by non-coastal cities of coastal provinces (rather than coastal cities). We also find negative spatial spillover, in the sense that neighboring provinces tend to compete with rather than complement each other. Our analysis has important policy implications under the current geopolitical tension and policy initiatives (e.g. dual circulation in China).

Assessment of groundwater quality variation characteristics and influencing factors in an intensified agricultural area: An integrated hydrochemical and machine learning approach

The decline in groundwater quality in intensive agricultural areas in recent years, driven by environmental change and intensified human activity, poses a significant threat to agricultural production and public health, requiring attention and effective management. However, distinguishing the specific impacts of various factors on groundwater quality remains challenging, which hinders the effective management and prevention of groundwater pollution. This research integrates a hydrochemical analysis with the Entropy-weighted Water Quality Index, Self-Organizing Map (SOM) approach, and Boruta algorithm to investigate groundwater chemical variations and their influencing factors in the Sanjiang Plain, an important grain-producing region in China. The findings reveal that, compared to 2012, the deep groundwater quality has improved, while the shallow groundwater quality has markedly deteriorated. This decline in shallow groundwater quality is primarily attributable to human activities and is characterized by elevated levels of chloride, sulfate, and nitrate and a shift in the groundwater hydrochemical facies from an HCO3−Ca·Mg type to a mixed HCO3−Ca·Mg and SO4·Cl−Ca·Mg type. The SOM results suggested that land use type significantly affects shallow groundwater quality. Further analysis with the Boruta algorithm identified increased sewage and manure emissions from expanding livestock operations as well as enhanced pollutant leakage from the expansion of paddy fields as the primary contributors to the decline in shallow groundwater quality. These findings offer new insights into the mechanisms of groundwater quality changes in agriculturally intensive regions and provide a foundation for improved groundwater pollution management in the Sanjiang Plain and similar areas.

Optimizing rural waste management: Leveraging high-resolution remote sensing and GIS for efficient collection and routing

Accurate assessment of distribution patterns and dynamic insights into rural populations is pivotal for comprehending domestic waste generation, recycling, and transportation in rural territories. Given that the dispersion of rural inhabitants exhibits minimal variation and maintains stability, this research endeavors to establish a pragmatic model for rural domestic waste collection and routing, leveraging the capabilities of very high-resolution remote sensing combined with geographic information system (GIS) techniques. Specifically, the Dilated LinkNet model was employed to discern features such as buildings, roads, water bodies, farmlands, and forests from the high-resolution remote sensing imagery. A novel multiple K-means clustering approach was devised for building segmentation. Within these clusters, an assortment of spatial regulations and evaluations facilitated the judicious selection of environmentally-conscious waste collection sites (WCSs). The Pointer Network, augmented with reinforcement learning, executed a traveling salesman analysis on these chosen WCSs, yielding the optimal collection trajectory. Validated in Huangtu Town, a quintessential rural region in China, our model manifested superior recognition precision, recording IoU accuracies of 0.902, 0.926, 0.933, 0.891, and 0.849 for buildings, roads, water bodies, farmlands, and forests respectively. Notably, when compared to our field survey data, the optimized daily collection route in a rural context decreased from 256.40 km before optimization to 140.44 km, reflecting a substantial reduction of 45.23% in total distance. This study furnishes an effective model that relies solely on information from remote-sensing images for efficient rural waste collection and extends invaluable insights to planners and administrators in the realm of rural and township waste management.

Impact of Urban Form in the Yangtze River Delta of China on the Spatiotemporal Evolution of Carbon Emissions from Transportation

The impact of urban form on carbon emissions has become a crucial issue for sustainable socioeconomic development and the advancement of low-carbon cities. Transportation is a significant source of urban carbon emissions, highlighting the need for comprehensive research to aid China in achieving its carbon peak and neutrality goals. Currently, there is a lack of quantitative studies exploring the effects of urban form on transportation-related carbon emissions. This paper seeks to quantify the effect of urban form on the spatial and temporal patterns of transportation carbon emissions, utilizing panel data from 27 cities in the Yangtze River Delta (YRD) region of China, covering the years 2000 to 2020. First, CO2 emissions from transportation are estimated following IPCC guidelines, with Moran’s I utilized to analyze spatial autocorrelation. Next, urban form indicators are quantified based on landscape ecology theory. Finally, econometric models are employed for regression analysis of the panel data. The findings reveal that urban complexity, compactness, and expansion influence transportation carbon emissions to varying degrees, with urban expansion and complexity associated with increased emissions, while compactness contributes to their reduction. This study offers theoretical support and a scientific basis for low-carbon urban spatial planning and development, underscoring the importance of urban form in emissions reduction strategies.

Quantitative Assessment of the Peeling on Earthen Heritage Sites Using on Improved Rank Sum Ratio

ABSTRACT The peeling disease has caused the volume of the earthen site to recede over the years, seriously jeopardizing the longevity of the earthen sites. Accurately evaluating the degree of development of peeling disease is the key to carrying out conservation work. This paper organically combines the Decision Making Trial and Evaluation Laboratory, the multi-correlation coefficient, and the anti-entropy weight method in a weighted average combination, and assigns weights to the weight indicators of the rank sum ratio method. The improved RSR evaluation method comprehensively, objectively, and accurately evaluates the degree of peeling disease development at 18 earthen sites in the arid region of northwest China. The results show that 2, 7, and 8 earthen sites have very high, high, and moderate grades of peeling disease development, respectively. Comparison of the evaluation results of the regression values of peeling features using ridge regression verifies the accuracy of the evaluation results of the improved rank sum ratio approach. The improved rank sum ratio method proposed in this paper for the development of peeling disease at earthen sites is a robust assessment system. It lays the foundation for conservationists of earthen sites to make conservation decisions in a scientific manner.

Analysis of heavy metal characteristics and health risks of edible mushrooms in the mid-western region of China

This study determined the content of metal elements (As, Cd, Cr, Hg, Pb) in 9 edible mushrooms using ICP-MS, and evaluated the harm of long-term consumption of edible mushrooms to human health. The results showed that the concentrations of metal elements decreased in the order of Cd > As > Cr > Pb > Hg in edible mushrooms. The concentrations of Cd, As, Pb, and Hg were 22.95%, 8.20%, 1.64%, and 3.28% higher, respectively, than the maximum standards in China, whereas Cr did not exceed the limit. The detection rate of metal elements in Morchella esculenta (L.) Pers (M. esculenta), and Agaricus blazei Murill (A. blazei) were relatively high. The results of single factor evaluation and target hazard coefficient (THQ, HI) indicated that Dictyophora indusiata (Vent.ex Pers) Fisch (D. indusiata), A. blazei and M. esculenta were the main sources of risk. In addition, the HI values in ascending order were: Pb (0.43) < Cr (0.68) < Hg (0.92) < Cd (7.21) < As (14.02), indicating that Cd and As were the primary sources of health risks in edible mushrooms. To ensure food safety, it is recommended to strengthen the supervision of edible mushrooms, make reasonable choices, and reduce exposure levels of heavy metal pollution.

Knowledge, attitudes, and practices of oil and salt intake and related influencing factors in Southwestern China

ObjectsExcessive oil and salt consumption is a public health issue, notably in China where intakes surpass WHO guidelines. The present study aims to examine the knowledge, attitudes, and practices of Southwestern China residents regarding oil and salt and explore the influencing factors.MethodsThis study used convenience sampling to collect data from 7,367 participants aged 18–75 in the Sichuan, Chongqing, Yunnan, and Guizhou regions of China via on-site face-to-face surveys. Descriptive statistics and generalized linear models were used to analyses knowledge, attitudes, and practices about oil and salt intake and their influencing factors among residents of Southwestern China.ResultsIn Southwestern China, residents of Guizhou Province exhibited poor KAP regarding oil and salt. There were urban–rural differences in Yunnan, Sichuan, and Chongqing, and residents living in towns and cities were the favored factors for KAP scores. Groups engaged in self-employment/sales and freelance were risk factors for KAP score. Individuals with higher education was a favorable factor for KAP score. In Yunnan, Sichuan, and Chongqing groups with preference of salty tastes were favorable factors in KAP score. Diabetic patients were more likely to score low on oil and salt-related KAP performance.ConclusionIn Southwestern China, residents of Guizhou Province displayed poor results in their KAP regarding oil and salt. The region of the province, ethnicity, urban and rural residence, education, taste preference, and prevalence of chronic diseases were the influencing factors of oil and salt-related KAP scores.

Regional Disparities, Economic Development, and Neonatal Mortality and Hospital Delivery in China

A negative association between neonatal mortality and hospital delivery has been found in some low- and lower-middle-income countries but not in rural settings characterized by poor quality of maternal and child health care. To examine the association between neonatal mortality and hospital delivery in China across urban and rural regions, regional disparities, and varying levels of economic development. This retrospective cohort study used county-level data from 2008 to 2020 from the National Maternal & Child Health Statistics across mainland China. Statistical analysis was conducted from March to December 2023. Since 2008, China has strategically leveraged hospital deliveries with national subsidies to diminish neonatal mortality, particularly in rural areas. Neonatal mortality and hospital delivery rates were calculated, and their association was estimated using multivariable fixed-effects linear models of county-level cohort data to adjust for time-invariant differences across counties and controls for gross domestic product (GDP) per capita, women's years of education, hospital beds, and health workers. The analysis included data from 2930 counties, with 198.7 million live births across 36 255 county-year records between 2008 and 2020. The mean (SD) neonatal mortality rate per 1000 live births decreased in rural areas from 12.3 (7.5) in 2008 to 3.9 (2.7) in 2020 and decreased in urban areas from 5.0 (3.1) in 2008 to 2.0 (1.3) in 2020. Hospital delivery rates increased in rural areas from a mean (SD) of 93.4% (11.8%) in 2008 to 99.9% (0.6%) in 2020 and increased in urban areas from 97.7% (6.1%) in 2008 to 100.0% (0.1%) in 2020. In rural areas, an increase of 10 percentage points in hospital deliveries was associated with a neonatal mortality rate of -1.4 (95% CI, -1.9 to -1.0; P < .001) per 1000 live births, whereas this negative association was not observed in urban areas. When the analysis was stratified by regions and incomes, the negative association became considerably stronger in the western and central regions of China, as well as in counties with lower GDP per capita. This cohort study of more than 2900 counties in China suggests that an increase in hospital deliveries was associated with reduced neonatal mortality in rural and economically underdeveloped areas in China. To further reduce neonatal mortality and improve newborn health, it is imperative to increase the accessibility of hospital delivery services.

Stress mindset and nurses' sleep quality: mediating effects of stress overload and anxiety.

Previous studies have shown that overall sleep quality among Chinese nurses is relatively low, with a sleep disorder prevalence rate of approximately 66.4%. Against the backdrop of healthcare reforms, China has been striving to improve the mental health and sleep quality of nurses. Stress mindset can influence how individuals respond to stress, but there is limited research on how stress mindset affects nurses' sleep quality. This study aims to explore the impact of stress mindset on sleep quality among nurses, as well as the mediating roles of stress overload and anxiety in this relationship. The study was conducted online using a questionnaire from February 18 to February 22, 2024. It utilized the Stress Mindset Measure (SMM), the Stress Overload Scale-Short (SOS-S), the Generalized Anxiety Disorder 7-item scale (GAD-7), and the Pittsburgh Sleep Quality Index (PSQI) to survey 441 nurses in three regions of China: Chongqing, Hunan, and Shandong (M = 34.39, SD = 7.82, 95.7% female). A chain mediation model was employed to examine the mediating roles of stress overload and anxiety in the relationship between stress mindset and sleep quality. The participants' average sleep quality score was 7.18 ± 3.47. Nurses' stress mindset was significantly negatively correlated with both stress overload and anxiety, and significantly positively correlated with sleep quality. Stress overload was significantly positively correlated with anxiety and significantly negatively correlated with sleep quality. Anxiety was also significantly negatively correlated with sleep quality. The direct effect of nurses' stress mindset on sleep quality was significant (effect size = -0.10, 95% CI: -0.19 to -0.01), as were the indirect effects through stress overload (effect size = -0.05, 95% CI: -0.11 to -0.01) and anxiety (effect size = -0.09, 95% CI: -0.13 to -0.05), along with their chain mediation effect (effect size = -0.10, 95% CI: -0.14 to -0.06). Our study demonstrates that a higher level of nurses' stress mindset is associated with better sleep quality, with stress overload and anxiety mediating this relationship. A positive stress mindset helps nurses cope more effectively with professional challenges and reduces anxiety, leading to improved sleep quality. Healthcare institutions should therefore prioritize fostering positive stress mindsets in nurses, encouraging regular psychological training and workshops to support the development of effective coping strategies.

The Different Effects of Two Types of El Niño on Eastern China’s Spring Precipitation During the Decaying Stages

El Niño is one of the most significant global climatic phenomena affecting the East Asian atmospheric circulation and climate. This study uses multi-source datasets, including observations and analyses, and statistical methods to investigate the variations and potential causes of boreal spring precipitation anomalies in eastern China under different El Niño sea surface temperature conditions, namely, the Eastern Pacific and Central Pacific (EP and CP) El Niño cases. The findings reveal that, particularly along the Yangtze–Huaihe valley, spring precipitation markedly increases in most regions of eastern China during the EP El Niño decaying stages. Conversely, during the CP El Niño decaying stages, precipitation anomalies are weak, with occurrences of weak negative anomalies in the same regions. Further analyses reveal that during the decaying spring of different El Niño cases, differences in the location and strength of the Northwest Pacific (NWP) abnormal anticyclone, which is associated with the central–eastern Pacific warm sea surface temperature anomaly (SSTA), result in distinct anomalous precipitation responses in eastern China. The SSTA center of the EP El Niño is more easterly and stronger. In the meantime, NWP abnormal anticyclones are more easterly and have a broader range, facilitating water vapor transport over eastern China. By contrast, the CP El Niño SSTA center is westward and relatively weaker, leading to a relatively weak, westward, and narrower anomalous NWP anticyclone that causes less significant water vapor transport anomalies in eastern China. This paper highlights the diverse impacts of El Niño diversity on regional atmospheric circulation and precipitation, providing valuable scientific references for studying regional climate change in East Asia.

Integrating dynamic high-throughput phenotyping and genetic analysis to monitor growth variation in foxtail millet

BackgroundFoxtail millet [Setaria italica (L.) Beauv] is a C4 graminoid crop cultivated mainly in the arid and semiarid regions of China for more than 7000 years. Its grain highly nutritious and is rich in starch, protein, essential vitamins such as carotenoids, folate, and minerals. To expand the utilisation of foxtail millet, efficient and precise methods for dynamic phenotyping of its growth stages are needed. Traditional foxtail millet monitoring methods have high labour costs and are inefficient and inaccurate, impeding the precise evaluation of foxtail millet genotypic variation.ResultsThis study introduces a high-throughput imaging system (HIS) with advanced image processing techniques to enhance monitoring efficiency and data quality. The HIS can accurately extract a range of key growth feature parameters, such as plant height (PH), convex hull area (CHA), side projected area (SPA) and colour distribution, from foxtail millet images. Compared with traditional manual measurements, this HIS improved data quality and phenotyping of the key foxtail millet growth traits. High-throughput phenotyping combined with a genome-wide association study (GWAS) revealed genetic loci associated with dynamic growth traits, particularly plant height (PH), in foxtail millet. The loci were linked to genes involved in the gibberellic acid (GA) synthesis pathway related to PH.ConclusionThe HIS developed in this study enables the efficient and dynamic monitoring of foxtail millet phenotypic traits. It significantly improves the quality of data obtained for phenotyping key growth traits. The integration of high-throughput phenotyping with GWAS provides new insights into the genetic underpinnings of dynamic growth traits, particularly plant height, by identifying associated genetic loci in the GA synthesis pathway. This methodological advancement opens new avenues for the precise phenotyping and exploration of genetic resources in foxtail millet, potentially enhancing its utilisation.