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New cultivars of cut roses (Rosa hybrida) with anti-senescence and low-temperature tolerance AI Introduction
Abstract：Rose （Rosa hybrida） are one of the most important cut flower crops worldwide. In China， cut roses are mainly produced in Yunnan Province. Long-distance postharvest transport accelerates flower senescence， and low temperature in winter and spring causes floral organ malformation. The two problems severely restrict the economic benefits of China’s cut rose industry. To solve these problems， the rose research team of China Agricultural University spent more than 20 years systematically collecting 2 622 rose germplasm resources. We comprehensively applied genomic and functional genomic approaches， identified 37 key genes， and developed 53 molecular markers. We then established an efficient multi-trait pyramiding technology for cut roses. Taking high yield and disease resistance as a foundation， we bred 86 new cultivars of cut rose with coordinated improvement of multiple traits including anti-senescence and low-temperature tolerance. These cultivars cover multiple color series. Their vase life generally reaches 12-14 days. They tolerate low temperature of 10 °C and maintain normal floral organ development. We have obtained plant variety rights for 31 of these cultivars. This paper highlights representative cultivars such as ‘Qi Xi’， ‘Qing Liang Xia Ri’， and ‘Fei Yun’， focusing on their excellent ornamental and production characteristics.Keywords：rose;cut flower;breeding;anti-senescence;low-temperature tolerance99|52|0<HTML><L-PDF> <WORD> <Meta-XML>Updated：2026-06-17Genome-wide identification of the COMT gene family in Rosa hybrida and its role in pink flower color formation AI Introduction
Abstract：To systematically identify and characterize the COMT gene family in modern rose and to explore its potential association with pink flower formation， Hidden Markov Model （HMM） and homology-based approaches were used to identify COMT family members from the genome of the modern rose cultivar ‘Samantha’. Physicochemical properties， phylogenetic relationships， gene structures， promoter cis-acting elements， and expression patterns of RhCOMTs were systematically analyzed. In addition， anthocyanin metabolite contents and weighted gene co-expression network analysis （WGCNA） were integrated to investigate the relationship between RhCOMTs and floral coloration. A total of 99 RhCOMT genes were identified in the modern rose genome. Phylogenetic and conserved motif analyses indicated that RhCOMTs were evolutionarily conserved but functionally diversified. Whole-genome duplication （WGD） was identified as the major driving force underlying RhCOMT family expansion. Promoter analysis revealed numerous cis-acting elements related to light responsiveness， hormone signaling， stress responses， and flavonoid biosynthesis. Expression profiling demonstrated obvious tissue specificity among RhCOMT genes， with some members highly expressed in flowers， while others were predominantly expressed in stems and leaves. Comparative analysis among white-， pink-， and red-flowered roses showed that most RhCOMT genes exhibited relatively high expression levels in pink flowers， suggesting their potential involvement in pink flower formation. WGCNA further identified seven hub RhCOMT genes were significantly negatively correlated with anthocyanin accumulation， implying that RhCOMTs may influence pink flower formation through regulating anthocyanin modification and metabolic flux distribution. Overall， this study provides the first systematic characterization of the COMT gene family in modern rose and reveals the potential relationship between RhCOMTs and pink flower formation. These findings provide valuable candidate genes and a theoretical foundation for future studies on flower color regulation and molecular breeding in rose.Keywords：Rosa hybrida;caffeic acid O-methyltransferases;gene family;anthocyanin187|89|0<HTML><L-PDF> <WORD> <Meta-XML>Updated：2026-06-17- Abstract：As the core agricultural area in South China， Guangdong Province serves as a typical example of agricultural transformation in the economically developed eastern coastal regions. To reveal the patterns and driving mechanisms underlying the evolution of the cropping system in economically developed areas and to provide a theoretical basis and decision-making support for optimizing agricultural industrial layout and formulating scientific cropping system regulation policies in similar regions along the eastern coast of China， this study takes Guangdong Province as the research area. Based on agricultural statistics from 1949 to 2023， it systematically analyzes the evolution characteristics， regional differences， and key driving mechanisms of the cropping system in Guangdong Province using methods including correlation analysis. The results show that： 1） The evolution of farming systems in Guangdong Province exhibits distinct phased and structural characteristics. The agricultural industrial structure has undergone three stages： The absolute dominance of crop cultivation， the period of structural adjustment， and the period of recovery and coordination， ultimately forming a characteristic “crop-livestock-aquaculture” coordinated structure. 2） The structure of crop cultivation has transformed from “dominated by grains” to “equal emphasis on grains and cash crops”. In 2023， the sown area of cash crops （51.4%） exceeded that of grains （48.6%）. 3） The multiple cropping index shows a pattern of “growth-fluctuation-recovery”， reaching 238.2% in 2023. It is significantly positively correlated with grain output， with notable significant regional differences （321.8% in the Pearl River Delta vs. 191.9% in western Guangdong）. 4） The grain yield per unit area has tripled compared to 1949， through rice yield per unit area is relatively low. 5） The advantages of characteristic cash crops are prominent， especially vegetables， whose planting area has shown a significant growth trend， with an increase of 181% from 1990 to the present. In conclusion， the evolution of the cropping system in Guangdong Province is driven by multiple factors including resource endowment， efficient and outward-oriented market demand， food security guarantee， technological progress， and large-scale operation. Simultaneously， it faces challenges such as uneven regional resource utilization efficiency， considerable potential for increasing rice yield per unit area， and a decline in the diversity of economic crops. In the future， it is necessary to combine the resource endowments of Guangdong Province， focus on the concept of “big food” and national food security， and accelerate the establishment of a modern and new agricultural system that is green， efficient， and with coordinated industries.Keywords：farming system;Guangdong Province;evolution characteristics;driving force;cropping pattern62|27|0<HTML><L-PDF> <WORD> <Meta-XML>Updated：2026-06-17
QTL mapping for leaf area in grain sorghum based on BSA-Seq AI Introduction
Abstract：To identify the key gene loci regulating the leaf area at different leaf positions in sorghum， an F2 population was constructed from two core inbred parental lines‘01-26B’and‘7009B’. The leaf area of the flag leaf， 2nd leaf， 3rd leaf， and 4th leaf were measured， respectively. Based on this， extreme mixed pools of large-leaf and small-leaf families from four leaf positions were constructed for bulked segregation analysis（BSA） sequencing to map key SNP loci and mine the key genes. The results are as follows： The leaf area in the F2 population exhibited a typical quantitative trait pattern， and it showed extremely significant positive correlations among leaves of different leaf positions. BSA sequencing found that the volume of the 10 samples was sufficient， with sequencing depths between 15.38 - 23.05 × and error rates between 0.024 9% - 0.026 9%， meeting the requirements for subsequent mapping. Genome-wide screening for leaf area-related loci of different positions identified 73 SNP loci including 17， 31， 9， and 16. According to annotation results， 15 of these SNP loci were located in gene functional regions， including 8 in exons， 6 causing nonsynonymous mutations， 2 in the 5’ UTR， 1 in the 3’ UTR， and 4 in upstream regions. Notably， a T-to-G variation at the physical position of 58 490 747 bp on chromosome 1 was detected in the mapping of leaf areas across all four different leaf positions， suggesting a pleiotropic locus. In summary， this study successfully identified 73 SNP loci associated with leaf area in sorghum and pinpointed one key pleiotropic locus， through applying BSA-seq technology by constructing an F2 population with two core inbred parental lines.Keywords：sorghum;leaf area;BSA-Seq;SNP loci40|24|0<HTML><L-PDF> <WORD> <Meta-XML>Updated：2026-06-17Difference analysis of nitrogen pollution in farmland groundwater under different planting patterns and its estimation model study AI Introduction
Abstract：To develop effective approaches for estimating nitrogen pollution in farmland groundwater under different planting patterns in Henan Province， this study employed 210 farmland groundwater samples systematically collected from typical planting areas in Henan Province during 2022-2023 （169 samples from grain planting and 41 from vegetable planting）. Based on Geographic Information System （GIS） technology， combined with correlation and path analysis， the effects of nitrogen application rate， precipitation， and well depth on groundwater nitrogen pollution were quantified. Multiple regression models were subsequently developed to estimate nitrate contamination in farmland groundwater. The results showed that：Nitrate nitrogen （NO₃⁻-N） was the primary pollutant in farmland groundwater. The exceedance rates in grain planting and vegetable planting areas were 1.02% and 30.03%， respectively. Path analysis identified nitrogen application rate as the core factor affecting nitrogen pollution， whereas well depth exerted an inhibitory effect. Precipitation exhibited contrasting effects between planting patterns， showing an inhibitory role in grain planting areas but a promoting effect in vegetable planting areas. The multiple regression estimation model exhibited accuracy in the calibration set， with R² values ranging from 0.62 to 0.72. Meanwhile， the validation set presented satisfactory model performance in the overall dataset and grain planting areas， with R² values of 0.41 and 0.53， respectively， indicating satisfactory predictive performance. In summary， the model can effectively quantify nitrogen pollution characteristics in farmland groundwater and is applicable to the assessment of nitrate nitrogen pollution in groundwater.Keywords：farmland groundwater;nitrogen pollution;planting pattern;estimation model45|31|0<HTML><L-PDF> <WORD> <Meta-XML>Updated：2026-06-17Evaluation of the remediation efficiency of combined amendments on acidic Cd-contaminated paddy fields in South China AI Introduction
Abstract：This study aimed to establish a comprehensive evaluation system for assessing the remediation effects of combined amendments on typical acidified Cd-contaminated paddy fields in South China. Using early rice cultivar ‘Ruanhuayou 6100’ and late rice cultivar ‘Yexiangyou 9’ as test materials， a field experiment was conducted with nine combined amendment treatments： Biochar + organic fertilizer （D1）， biochar + sepiolite （D2）， biochar + bentonite （D3）， biochar + alkaline residue （D4）， organic fertilizer + sepiolite （D5）， organic fertilizer + bentonite （D6）， organic fertilizer + alkaline residue （D7）， sepiolite + alkaline residue （D8）， and bentonite + alkaline residue （D9）. A control （CK） with no amendment application was established. The mass ratio of the two amendment materials in each treatment was 1∶1， and the total application rate of amendments was the same for each plot， equivalent to 4 500 kg/hm2. Cd content of rice grain， soil pH， organic matter， alkali-hydrolyzable nitrogen， available phosphorus， available potassium， and available Cd content were measured. The indicators and their weights in the evaluation index system for Cd-contaminated paddy field were adjusted based on the remediation effects aimed at soil quality improvement and rice safe production， and the performance of different combination of amendments was comprehensively assessed along with economic cost analysis. The results showed that： 1） The early rice yield under all nine combined amendment treatments was 26.84%-61.72% higher than that of CK （P<0.05）， and the Cd content in early brown rice was 40.23%-67.89% lower than that of CK. The brown rice Cd content in early rice all was lower than the national food safety standard in all treatments. For late rice， brown rice Cd content in 7 treatments （excluding D5 and D8） fell below the national food safety standard. Organic fertilizer-containing treatments （D1 and D5-D7） exhibited smaller yield fluctuations， and their early and late rice yields were significantly higher than those of other treatments. Biochar-containing treatments （D1-D4） had low brown rice Cd content in late rice， with a mean value of 0.16 mg/kg， among which D2 （biochar + sepiolite） exhibited the best Cd reduction effect. 2） All amendment treatments significantly increased soil pH in both seasons. Soil organic matter content in early rice was 1.06%-11.55% higher than that of CK （P<0.05）， and soil available Cd content was in early-season 14.67%-37.04% lower than that in late-season （P<0.05）， while alkali-hydrolyzable nitrogen， available phosphorus， and cation exchange capacity in paddy soil of early-and late-season showed no significant differences compared with CK. Alkaline residue-containing treatments （D4， D7-D9） achieved higher soil pH values than biochar-containing treatments （0.02 higher in early season and 0.03 higher in late season） and organic fertilizer-containing treatments （0.02 higher in early season and 0.03 higher in late season）. Biochar-containing treatments （D1-D4） performed better than other treatments in enhancing soil organic matter accumulation and reducing soil available Cd content. The soil organic matter content in early and late rice under biochar-containing treatments was 1.79 and 1.92 g/kg higher than that under alkaline residue-containing treatments， and 0.22 and 0.84 g/kg higher than that under organic fertilizer-containing treatments， respectively. The maximum reduction in soil available Cd content in early rice under biochar-containing treatments reached 32.85%， and it remained 13.46% lower than CK by the end of the late rice season. Comprehensive evaluation showed that， except for D5 and D8， the Cd content in brown rice of early and late rice under the seven combined amendment treatments was below the national food safety standard. Treatments containing organic fertilizer and alkaline residue showed relatively high annual output-to-input ratios. From the perspective of multi-objective synergy and sustained remediation capacity， biochar-containing treatments （D1-D4） achieved higher scores， with D2 （biochar + sepiolite） demonstrating the best comprehensive performance in both early and late rice， and demonstrating more sustained remediation effects. In conclusion， under the conditions of this experiment， based on the multi-objective synergistic evaluation of soil environment， agricultural product safety， and cost， the combined application of biochar and sepiolite at a mass ratio of 1∶1 （D2） was identified as the optimal combined amendment.Keywords：amendments;combined;Cd;early and late season rice;effect evaluation46|26|0<HTML><L-PDF> <WORD> <Meta-XML>Updated：2026-06-17Current status and hot spots of animal stereotyped behavior research based on CiteSpace analysis AI Introduction
Abstract：To understand the development process， research hotspots， and future trends of animal stereotypic behavior research， this study compiled and screened 1 064 relevant articles from the China National Knowledge Infrastructure （CNKI） and Web of Science （WOS） databases （2000-2025）. Bibliometric visual analysis of authors， publication years， institutions， and keywords were conducted using CiteSpace. The results showed that： 1） The number of Chinese articles displayed an overall upward trend ， with Chinese Journal of Wildlife publishing the most papers （14）. English articles showed a continuous upward trend， with Applied Animal Behavior Science ranking publishing the most （121）. 2） The United States ranked the first with 300 articles， followed by the United Kingdom （130） and Canada （85）. 3） Keywords co-occurrence and cluster analysis revealed that animal stereotyic behavior is a research hotspot in both Chinese and English literature， mainly focusing on autism and animal models. 4） Keywords co-occurrence and burst analysis indicated that neurotransmitters and gut microbiota are emerging research frontiers in this field. In summary， research on animal stereotypic behavior has gained increasing attention， and neurotransmitters along with gut microbiota are expected to become key directions for future investigations.Keywords：CiteSpace;animal;stereotypic behavior;bibliometrics46|24|0<HTML><L-PDF> <WORD> <Meta-XML>Updated：2026-06-17Establishment of a primary skeletal muscle-preadipocyte co-culture system from sheep AI Introduction
Abstract：This study aimed to explore the co-culture system of primary sheep skeletal muscle cells and preadipocytes and establish the optimal culture conditions. The longissimus dorsi muscle and subcutaneous adipose tissue of sheep were used as the research objects. After isolating and culturing the two types of cells， a co-culture system was established in a mixed medium of DMEM and DMEM/F12 （1∶1） with a 1∶1 cell ratio. The effects of different fetal bovine serum （FBS） concentrations （15%， 12.5%， 10%， 8%， 5%） on skeletal muscle cell viability were investigated. During the 48-hour co-culture period， real-time growth curve monitoring， cell morphology observation， and trypan blue staining were used to assess cell viability. The results showed that： 1） The 15% FBS group yielded 2.395 × 10⁶ cells， and trypan blue staining showed a mortality rate of 32%， with the highest total cell count and mortality rate. 2） The 12.5% FBS group and the 10% FBS group yielded 1.185 × 10⁶ cells and 9.55 × 10⁵ cells， with mortality rates of 10% and 7%， respectively； Properly reducing the FBS concentration can decrease cell death. 3） Due to nutrient deficiency， the 8% FBS and 5% FBS groups yielded 8.225×10⁵ and 2.85×10⁵ cells， with mortality rates of 7% and 6%， respectively. In conclusion， 10% FBS maintains high cell numbers while effectively controlling mortality， representing the optimal serum concentration for efficient co-culture of sheep skeletal muscle cells and preadipocytes. This study provides cellular technical support for on the study of glucose and lipid metabolism in ruminant animals.Keywords：sheep;skeletal muscle cells;preadipocytes;co-culture system30|24|0<HTML><L-PDF> <WORD> <Meta-XML>Updated：2026-06-17- Abstract：To investigate the allelic expression and DNA methylation status of the DNA methyltransferase 1 （DNMT1） gene in bovine placenta and other tissues， and to reveal the imprinting pattern of the DNMT1 gene in various bovine tissues， whole genome sequencing （WGS） was performed on genomic DNA from three placentas （1-3） and their parental samples to screen the single nucleotide polymorphism （SNP）； Transcriptome sequencing （RNA-seq） was to analyze the allelic expression pattern of DNMT1 gene and whole genome bisulfite sequencing （WGBS） was conducted to detect the DNA methylation status of DNMT1 locus. The results were as follows： 1）A total of 12 valid SNP loci were identified in the exons of the DNMT1 gene， with 0， 12 and 12 loci detected in the three placentas， respectively. DNMT1 exhibited maternal allelic expression in placenta 2， while biallelic expression was observed in placenta 3. 2）SNP-based direct sequencing of RT-PCR products was applied to analyze another 17 placental samples， with the SNP rs211542364 used to distinguish parental alleles. Among the 17 placental tissues， 10 were identified as heterozygous placentas， of which two displayed maternal allelic expression and the others showed biallelic expression， which verified the above conclusion. 3）Using the same SNP locus， the DNMT1 gene was found to exhibit biallelic expression in 6 tissues （heart， liver， spleen， lung， kidney and brain） from 7 adult cattle. 4）Analysis of WGBS data revealed that among the four CpG islands at the DNMT1 gene locus， CpG：89 was hypomethylated， while the other three CpG islands （CpG： 18， CpG： 18 and CpG： 33） showed hypermethylation， and no differentially methylated regions （DMRs） were detected. 5）Bisulfite sequencing further confirmed that CpG： 89， located in the promoter and exon 1 regions of the DNMT1 gene， was hypomethylated in both placentas with maternal expression and biallelic expression.These findings suggest that DNA methylation modification at the DNMT1 gene locus can not regulate the polymorphic imprinted expression of the DNMT1 gene in bovine placenta. In summary， DNMT1 acts as a polymorphic imprinted gene in bovine placenta， but is expressed biallelically in other bovine tissues. Its imprinted expression is not controlled by DNA methylation. This study provides a reference for further exploring the function and imprinting regulatory mechanism of DNMT1 gene.Keywords：DNMT1;genomic imprinting;DNA methylation;cattle33|27|0<HTML><L-PDF> <WORD> <Meta-XML>Updated：2026-06-17
- Abstract：To quantitatively evaluate the dust emission potential in plateau valley regions and reveal the coupling relationship between wind erosion sensitivity and soil particle size characteristics under the regulation of “Venturi effect”， soil particle size distribution （PSD） analysis was conducted on soils from six types of wind erosion underlying surfaces （woodland， grassland， cultivated land， floodplain， fixed sandy land， and shifting sandy land）. A wind-sand dynamic model was constructed to quantify differences in potential dust emission flux， elucidate the spatial differentiation characteristics of dust sedimentary landforms in the middle and lower reaches of the Yarlung Zangbo River valley. The results showed that： 1）The wind-eroded soils in the study area were predominantly sandy loam， loamy sand， and sand. Fine sand constituted the highest proportion in surface wind-eroded soils （26.62%-46.93%）， while clay content was extremely low （0%-1.39%）. The fine sand proportion in near-surface soils of floodplain and shifting sandy land was significantly lower than that of other underlying surfaces （P<0.01）. Soil monofractal dimension exhibited extremely significant positive correlations with both clay and silt content （P<0.01）. 2）The generalized dimension spectrum curves for the six underlying surfaces all showed a reverse S-shaped monotonic decreasing trend. Both monofractal and multifractal dimension analyses consistently indicated that woodland had the highest soil particle size distribution heterogeneity， while floodplain and shifting sandy land had the lowest. The capacity dimension （D0） of cultivated land reflected the widest range of particle size composition， and the information dimension （D₁） of woodland indicated the highest soil heterogeneity. 3）Sediment transport flux （Qh） calculated by the Bagnold wind-sand dynamic model increased exponentially within the wind speed range of 8-14.0 m/s. Among them， shifting sandy land （threshold wind velocity Ut=6.55 m/s； Qh=0.738-91.970 kg/（m·s）） and floodplain （Ut=7.02 m/s； Qh=0.132-66.010 kg/（m·s）） exhibited strong wind erosion sensitivity； cultivated land （Ut=7.23 m/s；Qh=0.085 7-52.140 kg/（m·s）） and semi-shifting sandy land （Ut=6.90 m/s； Qh=0.227-61.060 kg/（m·s）） showed transitional characteristics of moderate wind erosion sensitivity. In summary， the optimized wind-sand dynamic model based on soil particle size composition and environmental factors across different wind-eroded surfaces can reveal the coupled response mechanism between the threshold wind velocity for sand emission and sand transport flux， thereby providing data support for the evaluation and prediction of dust emission potential in plateau valley regions.Keywords：Yarlung Zangbo River;river valley zone;fractal theory;aeolian sand physics;dust emission potential34|28|0<HTML><L-PDF> <WORD> <Meta-XML>Updated：2026-06-17
Conceptual positioning, mechanisms, and optimization pathways of comprehensive land consolidation from the perspective of rationalism AI Introduction
Abstract：To clarify the functional boundaries of comprehensive land consolidation under concurrent advancement of multiple national development strategies， this study examines its conceptual positioning， mechanisms， and optimization pathways based on rationalist theory. The results show that when instrumental rationality is aligned with value rationality， comprehensive land consolidation follows a progressive functional trajectory from improving spatial efficiency， to strengthening rural economic foundations， to enhancing the overall value of rural areas. This trajectory reflects the evolution of consolidation from addressing short-term structural constraints to supporting longer-term value-oriented rural revitalization. This transformation operates through a sequential mechanism linking property rights restructuring， industrial development， and the conversion of rural resources into value-added products， thereby facilitating rural spatial restructuring， industrial upgrading， and reallizing resource value. Building on this logic， the study identifies a set of optimization pathways that integrate spatial restructuring， economic revitalization， and value realization as mutually reinforcing directions for consolidation practice. The progressive functional logic also provides a reference for identifying context-specific priorities in consolidation practice. In areas characterized by fragmented land-use structures， efforts should focus on improving spatial efficiency； in regions with stronger industrial carrying capacity， consolidation can support rural economic development； and in areas with advantageous resource endowments and institutional conditions， it may further enable pathways for rural value enhancement. Accordingly， consolidation strategies should be advanced in stages according to local development conditions， with clearly defined functional boundaries to avoid overgeneralization of goals.Keywords：comprehensive land consolidation;conceptual positioning;mechanisms;optimization pathways;rationalist theory;rural revitalization28|18|0<HTML><L-PDF> <WORD> <Meta-XML>Updated：2026-06-17Effects of intermittent aeration fermentation on the preparation of agricultural jiaosu from various vegetable residues AI Introduction
Abstract：This study aims to systematically compare the effects of traditional anaerobic fermentation and intermittent aeration fermentation on the efficiency and quality of agricultural jiaosu preparation， to realize the resource utilization of vegetable residues and improve the efficiency of agricultural jiaosu preparation of vegetable residues. The comprehensive effects of batch aeration fermentation in the preparation of agricultural jiaosu from different vegetable residues were evaluated by dynamically monitoring the changes in pH， the conductivity and reducing sugar content during fermentation， and by combining the total acidity， antioxidant enzyme activity and phenolic content of fermentation products. The results show that intermittent aeration fermentation increases the fermentation rate of agricultural jiaosu preparation from vegetable residues， and shortens the stabilization time of various physical and chemical indices. The time to stabilize the reducing sugar content of tomato residues， Pak choi residues， and carrot residues fermentation group was 20， 30， and 8 days earlier than that of traditional anaerobic fermentation， respectively. Both the characteristics of the tail vegetable and the fermentation method jointly determined the changes in various indicators and enzyme characteristics. The agricultural jiaosu was prepared by using tomato residues under intermittent aeration fermentation， with a total acidity of 7.70 g/L on the 90th day of fermentation， and its enzyme activity was the highest. Compared with traditional anaerobic fermentation， the activities of superoxide dismutase， peroxidase， catalase， and amylase in batch aeration fermentation increased by 22.72%， 19.77%， 26.09% and 66.71%， respectively. The active substances， such as phenols， reached the highest content； the contents of total phenols and total flavonoids increased by 7.45% and 29.59%， respectively. This study provides a theoretical basis and technical reference for the resource utilization of vegetable residues and the enhancement of agricultural jiaosu preparation efficiency of vegetable residues.Keywords：agricultural Jiaosu;intermittent aeration;anaerobic fermentation;vegetable residues;active ingredients35|24|0<HTML><L-PDF> <WORD> <Meta-XML>Updated：2026-06-17Spectral predicting model of peanut leaf dry weight and nitrogen content in red soil upland AI Introduction
Abstract：The objective of this study was to construct the spectral prediction models of peanut leaf dry weight and nitrogen content in red soil upland. Two peanut cultivars， ‘Ganhua 5’ and ‘Yueyou 93’， were used as experimental materials. Field experiments with four nitrogen application rates were conducted at Jinxian County in Nanchang City， Jiangxi Province in 2023 and 2024. Three spectral vegetation indices： ratio vegetation index， differential vegetation index and normalized difference vegetation index at the seedling， flowering， podding and pod filling stages were measured with domestic handheld spectrometer. Prediction models for leaf dry weight and nitrogen content of peanut in red soil upland were constructed based on spectral vegetation indices and then validated with different datasets from different experimental years. The results showed that the leaf dry weight and nitrogen content of peanut increased with increasing nitrogen application amount， and exhibited an initially increasing and subsequently decreasing pattern throughout peanut development progress. Both peanut leaf dry weight and nitrogen content showed the highest correlation with the normalized difference vegetation index. Leaf dry weight and nitrogen content were predicted using the power function model and the quadratic polynomial model， respectively. The determination coefficient of the peanut leaf dry weight prediction model ranged from 0.82-0.91， the root mean square error， relative root mean square error and correlation coefficient of the model validation were 4.57-19.07 g/m2， 7.77%-11.23% and 0.911 8-0.973 0， respectively. The determination coefficient of the peanut leaf nitrogen content prediction model was 0.84-0.90， the root mean square error， relative root mean square error and correlation coefficient of the model validation were 0.09%-0.16%， 3.58%-6.42% and 0.917 6-0.972 7， respectively. These results indicated that the models constructed in this study displayed a good predictive ability for peanut leaf dry weight and nitrogen content， and overcomed the shortcomings， such as poor timeliness and high-labor costs by manual measurement method， and exhibited strong practicality for real-time， non-destructive monitoring of growth parameters and precision cultivation management of peanut in red soil upland.Keywords：peanut;red soil upland;spectral vegetation index;leaf dry weight;leaf nitrogen content;predicting model37|18|0<HTML><L-PDF> <WORD> <Meta-XML>Updated：2026-06-17- Abstract：To address the challenges of difficult weed identification in the field environment during the corn seedling stage for laser weeding robots， and insufficient positioning accuracy caused by the difficulty in obtaining accurate and real time target spatial coordinates during operation， a seedling-stage corn field crop-weed identification and positioning system was developed using an improved deep learning object detection model and a stereo vision-based spatial localization method. The results showed that： 1） Based on the original YOLOv8n model， ConvNeXt V2 was introduced as the backbone network， a detection head for small-object detection was added， and the WIoU loss function was incorporated to construct the CSW-YOLOv8n crop-weed identification model with both high accuracy and lightweight characteristics. Compared with the baseline model， the precision， recall， mAP@50， and mAP@50-95 were improved by 3.8%， 4.1%， 3.4%， and 6.9%， respectively. The model size was 11.1 MB， and the AP@50 for weed detection increased by 6.3%. 2） On the basis of target recognition， a crop-weed visual localization method based on the OAK-D-S2-PoE depth camera was proposed. Through machine vision recognition and coordinate transformation， the spatial coordinates of weed targets in the field during the motion of the laser weeding robot were obtained. Laboratory spatial localization test results showed that the mean absolute error between the measured target distance and the actual distance was 12 mm， and the mean relative error was 1.14%， indicating that the localization accuracy met the requirements for laser weeding operations. 3） Simulation weeding tests were carried out based on the constructed crop-weed identification and localization system， achieving an execution success rate of 83%， which verified the feasibility of the system in target recognition， spatial localization， and execution guidance. The crop-weed identification and localization method proposed in this study demonstrates high detection accuracy and spatial localization reliability， and provides technical support for real-time crop-weed identification， precise localization， and weeding operations by laser weeding robots in corn fields during the seedling stage.Keywords：agricultural intelligence;object detection;seedling and weed recognition;spatial localization;YOLOv8n45|28|0<HTML><L-PDF> <WORD> <Meta-XML>Updated：2026-06-17
- Abstract：To address the low efficiency and high subjectivity of manual ripeness assessment in wolfberry harvesting， as well as the high missed-detection rate and insufficient adaptability to varying Intersection over Union （IoU） thresholds of mainstream object detection algorithms in complex field environments， this study proposes an improved intelligent recognition method for wolfberry fruit maturity based on the YOLOv11 network. Focusing on specific challenges such as the visual similarity between immature fruits and leaves， class imbalance， and localization deviation due to fruit occlusion， three key modifications were implemented in the network architecture： the Convolutional Block Attention Module （CBAM） was embedded into the backbone network to enhance the model’s ability to extract discriminative fruit features； Focal Loss was adopted to replace the original classification loss， mitigating the impact of class imbalance on classification performance； and the EIoU loss function was introduced to substitute the original regression loss， improving bounding box localization accuracy under occlusion conditions. To validate the method’s effectiveness， a wolfberry field image dataset encompassing various illumination and occlusion levels was constructed， and data augmentation techniques were employed to enhance model generalization. Using precision （P）， recall （R）， mAP50， and mAP50-95 as evaluation metrics（where mAP50 denotes the mean average precision at IoU=0.50， and mAP50-95 represents the average precision over IoU thresholds of 0.50 to 0.95）， the improved model， termed CEF-YOLOv11， was compared with YOLOv11， YOLOv8-s， YOLOv10-s， SSD， Faster R-CNN， YOLOv5n， and YOLOv5s. The results demonstrate that： 1） The improved model achieved the optimal recall of 90.8%， which is 4.7， 3.4， 4.9， 16.9， and 14.8 percentage points higher than YOLOv11， YOLOv8-s， YOLOv10-s， YOLOv5n， and YOLOv5s， respectively， significantly reducing the missed detection rate of mature fruits； 2） The model attained an mAP50 of 90.9%， indicating that the introduced attention mechanism and optimized loss functions synergistically enhance both classification and localization performance； 3） An mAP50-95 of 76.0% was achieved， representing a 9.5% improvement over the original YOLOv11， confirming the model's good robustness across different IoU thresholds. The proposed CEF-YOLOv11 algorithm can effectively improve the detection accuracy of ripe wolfberries in complex backgrounds， providing a technical basis for developing vision systems in picking robots.Keywords：wolfberry maturity detection;object detection;attention mechanism;deep learning;small object recognition;smart agriculture34|23|0<HTML><L-PDF> <WORD> <Meta-XML>Updated：2026-06-17
Study on the performance of rhizosphere water cycle heat exchange system for tomatoes in solar greenhouses in winter AI Introduction
Abstract：To address the critical issues of insufficient rhizosphere temperature， drastic thermal fluctuations， and high energy consumption associated with conventional heating methods in winter solar greenhouse production， a gravity-driven rhizosphere water circulation heat exchange system （WCHES） was constructed. Field comparative experiments and energy analysis methods were conducted to evaluate the systems rhizosphere temperature regulation performance， thermal buffering characteristics， and energy efficiency under sunny and cloudy winter conditions. The results indicated that： 1） Under sunny conditions， the daily temperature range of rhizospheredecreased by 18.7% compared to the control group， while the duration maintaining rhizosphere temperature within ±1 °C of the maximum measured value was extended by 31%. Under cloudy conditions， this stable duration was increased by 54%， with the coefficient of variation of rhizosphere temperature decreasing by 19.9% to 29.8%， effectively mitigating the impact of drastic air temperature fluctuations on the rhizosphere microenvironment； 2） The system generated a temperature lag effect of 2.0-2.5 h， with rhizosphere temperature lagging behind water temperature by 2.0-2.5 h and air temperature by 1.8-4.7 h， providing critical physiological adaptation time for crop roots and delaying the onset of low-temperature stress. The system buffering efficiency reached 18% under sunny conditions and 15%-20% under cloudy conditions， with a coefficient of performance （COP） of 6.7-8.8； 3） The system significantly promoted tomato growth and enhanced yield.After 15 days of operation， the plant height and stem diameter of the experimental group increased compared to the control group. The number of ears per plant increased by 20.6%， the number of mature fruits increased by 31.8%， and the total yield increased by 26.8%. The gravity-driven water circulation heat exchange system achieves passive heat storage and self-flowing heat exchange through the water level difference between high-level and low-level tanks. Utilizing an intermittent pump operation strategy substantially reduces energy consumption， while the modular structure facilitates integration into existing solar greenhouses. This study provides important technical support and practical references for enhancing rhizosphere thermal buffering capacity in northern solar greenhouses during winter and advancing green， low-carbon production in protected agriculture.Keywords：solar greenhouse;water circulating system;rhizosphere temperature;buffer performance49|29|0<HTML><L-PDF> <WORD> <Meta-XML>Updated：2026-06-17- Abstract：To clarify the effect of low phosphorus stress on the nutritional quality of maize and to screen for maize varieties that are tolerant to low phosphorus and of high quality， this study measured and analyzed the changes in the contents of starch， crude protein， crude fat， the ratio of amylose to amylopectin （AM/AP）， and the contents of minerals such as P， K， Zn， and Ca in the grains of 14 maize genotypes under low phosphorus （LP） and normal phosphorus （NP） field treatments. The results showed that： 1） Compared with NP， LP significantly reduced the AM/AP， the contents of P and K in maize grains， but significantly（P<0.05）increased the content of crude fat； 2） Based on the relative change rate of each nutrient composition under low phosphorus conditions， the 14 maize genotypes could be classified into three categories： those with increased contents of most nutrient composition， those with decreased contents of most nutrient composition， and those with small changes in most nutrient components under low phosphorus conditions like ‘C783’，‘E62’，‘D519’，‘A61’，‘E54’， deserve further breeding； 3） Two-way ANOVA showed that genotype （G）， phosphorus treatment （PT）， and their interaction （PT×G） significantly affected the contents of starch， amylose-to-amylopectin ratio， crude protein， crude fat， P， K， Ca， and Cu. This study provides a material basis and theoretical reference for breeding of maize varieties that are tolerant to low phosphorus.Keywords：maize;low phosphorus stress;genotype;energy-yielding nutrients;minerals;nutritional quality36|22|0<HTML><L-PDF> <WORD> <Meta-XML>Updated：2026-06-17
Design and experiment of an intelligent tracking transport vehicle for facility agriculture based on Ultra-wideband and machine vision fusion AI Introduction
Abstract：To address the critical issues of low mechanization and high labor demand in facility agriculture production and transportation， an intelligent tracking transport vehicle adaptable to various planting modes was developed. Firstly， a differential chassis with adjustable wheel track was designed according to agronomic requirements. For positioning， a Kalman filter-based fusion method integrating Ultra-wideband （UWB） and machine vision was proposed： UWB establishes a global coordinate system to suppress cumulative errors， while the YOLOv5s model identifies the target and provides local precise pose. Static tests showed that compared with single UWB alone， the fusion method reduced the average lateral and longitudinal deviations by 78.14% and 79.82%， and decreased their standard deviations by 59.14% and 58.19%， respectively， significantly improving positioning accuracy and stability. Subsequently， a Proportional-Integral-Derivative（PID）-based controller was designed for longitudinal distance and tracking angle. Field test results indicated that under the conditions of target speed 0.4 m/s and vehicle speed limit of 0.5 m/s， the average lateral deviation during straight-line tracking was 0.017 8 m， with a maximum of 0.042 1 m. The turning process was smooth and could quickly converge to a steady state. The positioning accuracy and dynamic response characteristics of this system meet the operational requirements inside facility agriculture greenhouses， providing a reference for autonomous tracking technology in agricultural equipment.Keywords：following transport vehicle;Ultra-wideband （UWB）;machine vision;data fusion;following control21|25|0<HTML><L-PDF> <WORD> <Meta-XML>Updated：2026-06-17Design and evaluation of an automatic grape harvester for protected cultivation based on machine vision AI Introduction
Abstract：To address the low level of mechanization level in the harvesting of protected vineyards and the insufficient operational efficiency of existing grape-harvesting robots， this study developed an automatic harvester for protected grapes based on machine vision. An average cutting-position localization algorithm utilizing cluster positional information， along with a corresponding control strategy for the harvesting execution system， was proposed. A grape cluster detection model was established using YOLOv5. Field experiments were conducted to determine the optimal operating parameters and to evaluate the harvesting performance systematically. The results showed that the detection model achieved an F1-score of 0.95 and a mean average precision （mAP） of 0.98， with a field recognition accuracy （Rr） of 95.35%. The harvester could position its cutting system while the chassis was moving forward， enabling continuous harvesting. The optimal performance was obtained at a forward speed of 1 km/h， yielding a harvesting success rate （Rh） of 91.68%， a damage rate （Rb） of 3.99%， and a picking efficiency （Re） of 0.91 s per cluster. This study provides an innovative solution for intelligent，efficient， and low-damage harvesting of protected grapes， offering a valuable reference for advancing mechanization in this field.Keywords：harvesting robot;machine vision;control algorithm;field experiment;grape harvesting28|17|0<HTML><L-PDF> <WORD> <Meta-XML>Updated：2026-06-17Adaptability evaluation of overwintering fresh tomato varieties on east-west ridges in solar greenhouses AI Introduction
Abstract：To enhance the mechanization level of vegetable production in solar greenhouses and to screen suitable fresh tomato varieties for mechanized cultivation on east-west ridges， this study systematically investigated 20 indicators， including leaf phenotypic traits， fruit quality attributes， and spatial yield distribution， across 14 tomato varieties grown under an overwintering cultivation system in Ningxia. The Analytic Hierarchy Process （AHP） was used to determine the weighting of each evaluation indicator， and the Distance-based Technique for Order Preference by Similarity to Ideal Solution （DTOPSIS） was employed for comprehensive adaptability assessment of varietal adaptability. The results showed that under the mechanized cultivation mode， the difference in fruit set number between the southernmost and northernmost cultivation rows ranged from 23.07% to 116.00% among varieties， with ‘Provence’（PL） showing the smallest difference. The yield difference between these rows ranged from 7.93% to 23.42%， with ‘Jingfan 308’（JF 8） exhibiting the smallest yield difference and demonstrating the best adaptability to the east-west ridge cultivation. AHP weighting analysis revealed that yield， soluble solids content， lycopene content， single fruit weight， sugar-acid ratio， and vitamin C content were the core indicators for evaluating tomato varieties suitable for mechanized cultivation， accounting for a dominant cumulative weight. The comprehensive ranking based on the DTOPSIS method placed the large-fruited varieties ‘PL’and ‘Saixishi 5’（SX 5） in the top two positions. ‘PL’ showed uniform yield distribution under the east-west ridge cultivation mode， while ‘SX 5’ exhibited high yield performance. The medium-fruited varieties ‘Yashu 12’（YS 12） and ‘Jingfan 309’（JF 9） ranked third and fourth， respectively， offering a favorable combination of palatability and relatively high yield. Based on a comprehensive analysis of fruit setting performance， yields， and quality across the 14 tomato varieties， ‘PL’， ‘SX 5’， ‘YS 12’， and ‘JF 9’ are recommended as suitable fresh tomato varieties for mechanized cultivation on east-west ridges in solar greenhouses in the Ningxia region.Keywords：solar greenhouse;east-west ridge direction;fresh tomatoes;variety evaluation;analytic hierarchy process;DTOPSIS22|23|0<HTML><L-PDF> <WORD> <Meta-XML>Updated：2026-06-17Robust planning for fresh agricultural products with uncertain demand based on second-order cone robust optimization AI Introduction
Abstract：To address the considerable challenges posed by the randomness and uncertainty of customer demand for fresh produce-demand that fluctuates with personal preferences， emergencies， and other external factors-this study integrates reinforcement learning with robust optimisation to build an intelligent decision-making system capable of operating effectively under demand uncertainty. First， a Copula-Gamma model is employed to generate highly correlated demand scenarios， thereby capturing inter-customer dependence more precisely and supplying realistic， dynamic inputs for route planning. These scenarios are then fed into a Dueling-Double DQN to obtain an initial set of delivery paths， after which second-order cone programming （SOCP）-based robust optimisation is introduced to regulate excess costs， mitigating the cost volatility induced by demand uncertainty. The results showed that： 1） Under demand uncertainty， the proposed Dueling-Double DQN algorithm significantly reduces the average total cost across all instances in the R， C and RC groups of the Solomon dataset， compared to the baseline generated by the heuristic nearest-neighbour greedy algorithm， as well as Vanilla DQN and PPO. 2） With robust optimization， the second-stage random cost drops sharply-by 72.09% in Group R， 70.80% in Group RC， and 67.02% in Group C. In summary， the proposed method not only effectively solves the cost optimisation problem for fresh product delivery under demand uncertainty， but also enhances delivery stability， providing a generalisable and intelligent optimisation solution for practical delivery systems.Keywords：fresh produce;route optimization;unmanned aerial vehicles （UAVs）;reinforcement learning;demand uncertainty22|28|0<HTML><L-PDF> <WORD> <Meta-XML>Updated：2026-06-17New quality productive forces of agriculture in China based on machine learning: Regional comparison, driving factors and dynamic evolution AI Introduction
Abstract：To explore the regional differentiation patterns， core driving mechanisms and spatiotemporal evolutionary dynamics of new quality productive forces in agriculture in China， this study constructs a three-dimensional comprehensive evaluation system covering agricultural laborers， means of labor and object of labor from the perspective of agricultural functional zoning. The entropy method is used to measure the development level of new quality productive forces in agriculture nationwide and across three major agricultural functional zones （major producing areas， major marketing areas， and production and marketing balance areas） from 2013 to 2023. Combined with variance analysis， Pearson correlation analysis， random forest modeling and SHAP interpretable machine learning method， the characteristics of regional differentiation， key driving factors and their action mechanism of new quality productive forces in agriculture were investigated， and the dynamic evolution law with spatial autocorrelation analysis was explored. The results show that： 1） Overall new quality productive forces in agriculture in China maintain a sustained growth trend with a slowing growth rate， and the inter-regional gaps are gradually narrowing. 2） In terms of driving mechanism， agricultural scientific and technological （S&T） activity personnel， agricultural S&T activity expenditure， and internet penetration rate constitute the core positive driving factors， while per unit consumption of pesticides， chemical fertilizers and agricultural films forms a significant negative constraint， which reflects the collaborative demand of the “innovation-digital” two-wheel drive and green transformation of agriculture. 3） The spatial correlation presents significant heterogeneity among functional zones： production and marketing balance areas show significant positive spatial autocorrelation with an obvious spatial spillover effect， while major producing areas and major marketing areas have not formed significant spatial agglomeration， and their development relies more on endogenous momentum. Therefore， while cultivating new quality productive forces in agriculture and promoting high-quality agricultural development， the government should formulate classified policies based on the development and differentiation characteristics of the three major agricultural functional zones， implement differentiated cultivation strategies adapted to local conditions， strengthen agricultural scientific and technological innovation and digital element empowerment， consolidate the bottom line of agricultural green development， give full play to the positive spatial spillover effect among regions， and boost the coordinated quality improvement and overall leap of new quality productive forces in agriculture across the country.Keywords：new quality productive forces in agriculture;machine learning;regional comparison;SHAP interpretation method;dynamic evolution30|20|0<HTML><L-PDF> <WORD> <Meta-XML>Updated：2026-06-17- Abstract：To expand agricultural resource allocation from the ground to low-altitude airspace， this study adopts a “space-air-ground” collaborative perspective， integrates resource system theory with multi-level governance theory， constructs an integrated theoretical analysis framework， employs a multi-case comparative method to examine three typical models： government-led， market-driven， and organization-coordinated， and then proposes implementation pathways for the development and utilization of agricultural low-altitude resources. The results are as follows： 1） Agricultural low-altitude resources refer to the airspace below 300 meters above ground level. They have natural， economic， and technical attributes. Compared with industrial logistics and manned transportation， their uniqueness lies in strong biological time constraints， an ultra-low-altitude dynamic operating environment， high cost sensitivity，and an ecological safety orientation. 2） Through four driving mechanisms， technological empowerment， infrastructure connectivity， institutional adaptation， and industrial coordination， the low-altitude economy improves spatial efficiency， temporal efficiency， economic efficiency， and substitution efficiency， respectively. These four mechanisms form a hierarchical chain of factor supply， rule constraints， and value realization.3） The government-led model focuses on infrastructure networking and institutional supply， suitable for policy-rich regions and early development stages. The market-driven model focuses on technology integration and service platform construction， suitable for technologically mature areas and regions with strong market demand； the organization-coordinated model excels in demand aggregation and local scheduling， suitable for smallholder-dominated areas with complex terrain. 4） The utilization of agricultural low-altitude resources still faces constraints such as insufficient technical coordination， low infrastructure networking， lagging institutions， and a weak industrial ecosystem. Future systematic progress should be made in four areas： advancing space-air-ground intelligent coordination technology， building a low-altitude agricultural facility network， innovating governance institutions for agricultural low-altitude resources， and fostering an integrated low-altitude agricultural industrial ecosystem.Keywords：low-altitude economy;low-altitude agricultural;airspace resource development;space-air-ground integration31|16|0<HTML><L-PDF> <WORD> <Meta-XML>Updated：2026-06-17
New quality productive forces empowering the green transformation agriculture production: Theoretical mechanisms and empirical tests AI Introduction
Abstract：To clarify the effects and mechanisms of new quality productive forces on agricultural green transformation， this study， based on a systematic theoretical elaboration of how new quality productive forces empower agricultural green transformation， uses a panel data of 31 provinces in China from 2011 to 2022 （The do data not include those of Hong Kong， Macao， and Taiwan regions. The same below）. The relationship between new quality productive forces and agricultural green transformation are analyzed. The findings reveal that new quality productive forces can significantly enhance the level of agricultural green transformation， and the conclusion remains robust after a series of robustness tests. The results of mechanism tests indicate that new quality productive forces improve the level of agricultural green transformation through market incentive effects and public promotion effects. Heterogeneity analysis shows that the impact of new quality productive forces on agricultural green transformation is more pronounced in non-major grain-producing areas and relatively underdeveloped economic regions. Further analysis reveals significant spatial spillover effects of new quality productive forces： they not only promote local agricultural green transformation， but also exert positive spillover effects on neighboring regions through spatial transmission mechanisms. Therefore， it is necessary to accelerate the development of new quality productive forces， improve market mechanisms， optimize public promotion functions， focus on regional heterogeneity， and assist the empowerment of agricultural green transformation by new quality productive forces through multiple channels.Keywords：new quality productive forces;agricultural green transformation;market incentive effect;public promotion effect;spatial spillover effect34|21|0<HTML><L-PDF> <WORD> <Meta-XML>Updated：2026-06-17How new-quality productive forces the empower resilience enhancement of agricultural industrial chains AI Introduction
Abstract：To explore the relationship between new-quality productive force and the resilience improvement of agricultural industrial chains， based on the provincial panel data from 2012 to 2023， this study uses benchmark regression models， mechanism testing models， and spatial Durbin models to investigate the impact， mechanism， and spatial effects of new-quality productive force. The results showed that new-quality productive force has a positive impact on enhancing the resilience of the agricultural industry chains； The positive impact is significant in the eastern and western regions， regions with high levels of economic development， and regions with high levels of marketization， while the impact is not significant in the central region， regions with low levels of economic development， and regions with low levels of marketization； The impact of new-quality productive force on enhancing the resilience of the agricultural industry chains can be achieved by improving agricultural production efficiency and promoting the upgrading of the agricultural industry structure； The new-quality productive force has a promoting effect on the resilience of the local agricultural industry chain， and has a positive spatial spillover effect on adjacent areas. In view of this， new-quality productive force should be adapted to regional contexts through dual pathways of efficiency and structure， while establishing cross-regional factor sharing and risk prevention mechanisms to enhance the resilience of the agricultural industry chains.Keywords：new-quality productive force;agricultural industry;industrial chain resilience;industrial structure;spatial effect27|18|0<HTML><L-PDF> <WORD> <Meta-XML>Updated：2026-06-17Impact of informatization on total factor productivity of grain farmers: Based on information gap and farming capabilities AI Introduction
Abstract：To uncover the specific role of informatization in enhancing the grain total factor productivity （TFP） of farmers， this study uses data on agricultural product cost-benefit data published by the National Development and Reform Commission （2004-2022） and the supplementary informatization survey data of grain farmers in 13 major summer grain-producing provinces （municipalities， districts） in 2023 to empirically examine the impact of informatization on grain TFP. The findings reveal that informatization significantly enhances grain TFP. The effect is more pronounced among young and middle-aged laborers. While informatization significantly improves farmers' cultivation abilities， it also widens the capability gap among farmers. Additionally， informatization positively affects labor and land productivity， and effectively boosts farmers’ income. Therefore， further advancement of informatization in agriculture with a focus on enhancing informatization levels and developing the information discernment skills of older farmers to maximize the contribution of informatization to grain TFP is essential.Keywords：informatization;grain total factor productivity;information gap;farming capability24|18|0<HTML><L-PDF> <WORD> <Meta-XML>Updated：2026-06-17- Abstract：To investigate the spillover effects of rural industry revitalization policies on high-quality industrial development through multi-dimension policy network correlation paths， this study analyzes policy texts from 30 Chinese provinces （2013-2022） （The data do not include those of Xizang， Hong Kong， Macao and Taiwan regions. The same below）. The LDA model is used to measure policy intensity while a modified gravity model is utilized to construct spatial weight matrices that characterize the multi-dimension policy network correlation pathways. Furthermore， spatial econometric methods are employed to assess the spillover effects of policy intensity on high-quality industrial development along these pathways and their influencing factors. The results show that： 1） The policy network correlation of rural industry revitalization shows a diffusion trend from the eastern coastal to central and western regions， with the overall structure becoming clearer， although network connectivity in central and western regions remains weaker. 2） Rural industrial revitalization policies exhibit significant positive spillover effects on high-quality industrial development through multi-dimension policy network correlation pathways， with a time lag， though the intensity is weaker than that via the objective benchmark pathway. 3） Heterogeneity exists across policy types： policies targeting industrial entity modernization and factor support show significant spillovers， while industrial integration and comprehensive efficiency policies are not significant. 4） Local grassroots government competition suppresses spillovers in both current and lagged terms， whereas public participation enhances current-term spillovers.Keywords：rural industry revitalization policy;policy network correlations;high-quality industrial development;policy intensity;spillover effect24|20|0<HTML><L-PDF> <WORD> <Meta-XML>Updated：2026-06-17
Inhibitory effect of risk-sharing mechanisms on agricultural credit guarantee default among new agricultural business entities AI Introduction
Abstract：This study aims to optimize the design of agricultural credit guarantee （ACG） policy， reduce the risk of credit default of new agricultural business entities （NABEs）， and improve the efficiency of rural financial services. Based on the field survey data of NABEs in Shaanxi， Shanxi and Jiangsu provinces. LPM， Probit， mediating effect model and Fisher combination test are employed to empirically examine the inhibitory effect of risk sharing mechanism on ACG default of NABEs. The study found that the risk sharing mechanism has a significant inhibitory effect on the default of ACG， and this effect can be achieved by reducing financing costs， increasing the willingness to repay loans， and reducing the pressure on repayment. In addition， the risk sharing mechanism exhibits significant heterogeneity in its default suppression effect， which is more prominent not only among ACG subjects under the non-“government-bank-guarantee” mode， with weak government support， and outside the category of farmer cooperatives， but also among credit objects without agricultural insurance coverage and with loans from small and medium-sized banks.Keywords：risk sharing;new agricultural business entities;agricultural credit guarantee;credit defaults22|19|0<HTML><L-PDF> <WORD> <Meta-XML>Updated：2026-06-17
