The global population continues to rise and climate change imposes severe challenges on food supply, the issue of food security has become increasingly prominent. To meet the growing demand for food, enhancing crop yield and improving environmental adaptability have become critical goals in agriculture. Under this situation, genomics is regarded as an essential method for accelerating crop breeding, as it enables the in-depth exploration and utilization of superior functional genes to not only boost crop productivity but also strengthen stress tolerance and adaptability, thereby providing robust support for ensuring global food security and achieving sustainable agricultural development. Nonetheless, the traditional single-reference genome often fails to capture the entire spectrum of genomic variations accumulated during crop domestication and improvement, which constrains our understanding of functional genes and their regulatory networks. With the continual advancement of high-throughput sequencing technologies, genomics research has now entered the pangenomics era. By integrating multiple high-quality genomes into a comprehensive catalog of genomic content, researchers can precisely identify a variety of genetic variations, including single nucleotide polymorphisms (SNPs) and structural variations (SVs), thereby capturing the extensive genetic diversity present across different cultivars, subspecies, and wild relatives. Pangenomics framework greatly facilitates the exploration of superior functional genes. Moreover, by combining pangenomic data with other multi-omics datasets (e.g., transcriptomics, proteomics, and epigenomics), researchers can accurately identify superior functional genes, enabling the provision of more targeted and accurate genetic loci for molecular breeding. With emerging gene-editing tools such as CRISPR-Cas9, researchers can further modify essential genetic loci in a directed manner to remove undesirable traits or reinforce resistance to environmental stressors. This will lay a foundation for cultivating the next generation of crops that exhibit higher yield, improved quality, and enhanced resilience. This review summarizes recent developments in major pangenome construction methods and formats, and systematically reviews the progress made in crop pangenomes as well as their applications in crop breeding improvement. It also discusses the challenges pangenomics faces in future crop breeding, offering insights into leveraging pangenome resources for crop genetic improvement, and ultimately provides new perspectives and strategies for future molecular breeding.

Peppermint is a food-medicine crop with secondary metabolites as core functional components. It has a wide range of biological activities. The bioactivities of peppermint are mainly related to its abundant active constituents, such as menthol, menthone, montaflorin, hesperidin, caffeic acid and other constituents, which have anti-inflammatory, antioxidant, antibacterial and antitumour effects. This paper reviews the distribution of resources and major origins of peppermint, the analytical studies of the major functional components of peppermint, the progress of nutritional and pharmacological studies of the major functional components, as well as the prediction and quality control of the core quality components of peppermint. Finally, the application fields and prospects of peppermint in agricultural product processing are discussed to provide direction and basis for the application of peppermint processing.

As an important economic shrimp species, the Litopenaeus vannamei is frequently affected by bacterial diseases, especially Vibriosis (including Vibrio parahaemolyticus, Vibrio alginolyticus, Vibrio harveyi, Vibrio cholerae, etc.) during intensive aquaculture. This represents a significant risk to the long-term sustainability of aquaculture. With the widespread use of antibiotics, resistance genes of pathogenic bacteria are prevalent and widespread in the aquatic environment, posing new challenges to the prevention and treatment of Vibriosis. Therefore, it is extremely important to emphasize the maintenance of aquaculture environment and water quality monitoring. This review describes a series of biological control measures, including the use of biofloc technology, probiotics, antimicrobial peptides, quorum sensing inhibitors, and the use of biological control methods such as Bdellovibrio and like organisms and bacteriophage. The combination of biofloc technology and probiotics can improve water quality and enhance immunity. However, it is greatly affected by the environment, making it difficult to control the stability of bacteria flora. Antimicrobial peptides exhibit a broad spectrum of antibacterial activity, and they are safe and not easily resistant to drugs. However, they are difficult to preserve and have a high cost. Quorum-sensing inhibitors provide precise prevention and treatment with minimal environmental impact, but the mechanism research on them is limited. Bdellovibrio are effective at lysing Gram-negative bacteria but have a poor effect on Gram-positive bacteria and grow slowly. Bacteriophages are highly specific but have a narrow host range. Although these biological control measures are less effective than antibiotics, they are environmentally friendly, less prone to drug resistance, and aim to reduce chemical drug dependency, protect the ecosystem, and improve aquaculture efficiency. In the future, innovative and sustainable biological control technologies should be developed to address the challenges posed by pathogenic bacterial resistance and environmental protection.

This study provided a systematic review of the ecological issues arising from the development of saline-alkali land in China. These included secondary salinization, the formation of groundwater depression cones, wetland shrinkage and functional degradation, and reduction in natural vegetation, as well as high remediation costs and pollution risks. In addition, it clarified the technological development pathways for the comprehensive utilization of saline-alkali land. These pathways encompassed four major directions: targeted strategies under a systematic management approach, cost-effective remediation under new ecological requirements, dual-force development through land-crop synergy, and specialized agriculture aligned with the broader concept of food. Furthermore, the study proposed an integrated strategy to strengthen the comprehensive management of saline-alkali lands, including emphasizing zonal rehabilitation of saline-alkali farmland, establishing a collaborative innovation system, and advancing fundamental theories and key technologies for sustainable utilization. It also recommended developing a tiered land-use model to support pilot programs for reserve resources and cultivated land, promoting specialized agriculture, enhancing productive capacity, advancing water-adapted planting, fostering innovation in water-saving agricultural technology, and strengthening ecological monitoring and impact assessment. This study provided the theoretical foundation and strategic support for ecological protection in the comprehensive utilization of saline-alkali land in China.

To compare the fruit quality of five blueberry varieties in Huizhou City, Guangdong Province, the fruits of five blueberry varieties, namely ‘Lanmei No.1’ ‘Gardenblue’ ‘L11’ ‘Nan Gaocong No.3’and ‘Eureka’ were used as materials. The appearance indicators such as single fruit quality, the contents of antioxidant substances such as anthocyanins, chlorophyll content, and the contents of nutrients such as soluble sugar were determined, and the sensory evaluation of the fruits was also conducted. Principal component analysis and membership function analysis were adopted to conduct a comprehensive evaluation of fruit quality. The results showed that among the five blueberry varieties, ‘Eureka’ had the largest single fruit weight at 4.805 g,‘Gardenblue’ had the largest fruit shape index at 0.868, ‘Eureka’ had the highest anthocyanin content at 890.217 μg/g, ‘L11’ had the highest total phenol content at 2.840 g/kg, and ‘Gardenblue’ had the highest flavonoid content, reaching 0.177 mg/g, the contents of soluble sugar, vitamin C and soluble solids in ‘Lanmei No.1’ were all the highest, which were 8.873%, 107.433 μg/g and 10.2% respectively. The total sensory evaluation scores, from high to low, were as follows:‘Lanmei No.1’ > ‘Nan Gaocong No.3’ > ‘Gardenblue’ > ‘Eureka’ > ‘L11’. Comprehensive analysis showed that ‘Eureka’ had the highest comprehensive score, with large fruits, strong antioxidant capacity and high nutritional value. ‘Lanmei No.1’ ranked second in the comprehensive score, with higher fruit sweetness and good taste. The fruit quality of both was relatively high. To sum up, among the five blueberry varieties, ‘Eureka’ and ‘Lanmei No.1’ had better overall quality.‘Lanmei No.1’ was suitable for fresh consumption, while ‘Eureka’ was suitable for processing into dried fruits, fruit paste and functional products. This article provides a reference for the introduction and cultivation of blueberries in similar regions.

The global salinization is becoming more and more serious, leading to intensified degradation of cultivated land and threatening plant growth seriously. In the current study, the composition and distribution characteristics of salt ions in saline-alkali soil were summarized. The negative effects of salt stress on plant growth, photosynthesis, rhizosphere secretions and microbial communities were clarified. The current chemical, physical and microbial regulation methods for alleviating plant salt stress were summarized. On this basis, the key problems such as the inconsistent evaluation criteria of salinity and the complexity of soil ion composition in existing studies were revealed, and targeted suggestions were proposed as follows: (1) establishing classification criteria by region; (2) developping a temporal and spatial dynamic model of soil salinity change. Furthermore, synthetic flora (SynComs) is expected to become an important direction for research and application of saline-alkali land improvement with its advantages of functional synergy, ecological stability, improvement of comprehensive benefits and technical scalability. Overall, the current study provides theoretical basis and technical support for the improvement of saline-alkali soil and the enhancement of plant salt tolerance.

【Objective】 Wheat is a cornerstone of global food security, with its production being pivotal in both China and the international community. With global climate change, the threat of high temperature has become increasingly prominent, posing a significant challenge to wheat cultivation. The strategic identification and selection of heat-tolerant germplasm, coupled with the exploration of genes associated with heat resistance, are crucial steps. These efforts are essential for broadening the genetic diversity of heat tolerance in wheat within China, providing prerequisites for breeding heat-tolerant wheat varieties and ultimately contributing to the safeguarding of our nation’s food security in the face of a warming climate. 【Method】 In this study, a natural population of 331 wheat accessions was utilized, and artificial climate chambers were employed to simulate high temperatures conditions. The heat tolerance of wheat seedlings was assessed by monitoring their survival rate under various durations of treatment, using heat resistance grade as the evaluative metric. Meanwhile, a genome-wide association study (GWAS) was conducted using the 55K SNP chip to identify genetic loci associated with heat tolerance. Expression data from multiple tissues, including roots, leaves under heat stress were analyzed, leading to the selection of genes related to heat tolerance. Subsequently, qPCR validation of candidate genes was performed using the extremely heat-tolerant accession Xinong 889 and the heat-sensitive accession Chinese Spring (CS) as materials. 【Result】 Under high-temperature stress, significant variations in survival rates were observed among different wheat accessions. The extremely heat-tolerant, moderately heat-tolerant, moderately heat-sensitive, and extremely heat-sensitive germplasm accounted for 110, 104, 110, and 7, respectively, representing 33.23%, 31.42%, 33.23%, and 2.12% of the total. Heat-tolerant germplasms, including Xinong 889, Zhengmai 7698, Zhongmai 895, Zhoumai 18, and Fengchan 3, were identified. Through GWAS, a total of 293 SNP loci significantly associated with the 12-hour survival rates (SR) and heat resistance grades (HRG) were detected, with the phenotypic variation explained ranging from 4.40% to 12.46%. Among these, 200 loci were related to the 12-hour survival rates, and 257 were related to the heat resistance grades, with 164 loci identified as the same heat-related loci. Based on significantly associated SNP markers, 313 heat-related genes were predicted. According to gene annotation information and expression data under heat stress, 23 heat tolerance candidates were selected, and after qPCR validation of differentially expressed candidate’s genes, 20 key heat tolerance candidate genes were identified. 【Conclusion】 At the seedling stage, 331 wheat germplasms were identified for heat tolerance. A rapid method was developed for determining the survival rate of wheat seedlings subjected to treatments of varying durations at 45 ℃ to assess their heat tolerance In total, 38 heat-tolerant germplasms and 293 loci significantly associated with seedling heat tolerance were screened. Also, TraesCS1A02G355900, TraesCS1A02G389500, TraesCS5A02G550700, TraesCS5D02G557100, TraesCS6D02G402500 and TraesCS7A02G232500 represented as candidate genes were filtered out.

The research on the biological activities of chemical components and applications of Angelica dahurica by consulting relevant literature were reviewed. The main chemical components of Angelica dahurica include coumarins, volatile oils, polysaccharides, alkaloids, and others. These bioactive compounds exhibit various effects such as anti-oxidant, anti-inflammatory, and analgesic activities, with multiple potential therapeutic targets. The mechanisms of action may be related to the regulation of vascular active substances, lipid metabolism, and oxidative stress in the body. Angelica dahurica can be combined with other traditional Chinese medicines for topical treatment of skin diseases, administered orally or externally to alleviate various types of pain and inflammation. It effectively dilates arterial blood vessels, promotes blood circulation, and regulates blood viscosity, thereby providing therapeutic benefits for cardiovascular diseases. This article provides a reference for the further study of the biological activity of Angelica dahurica.

The planting performance of Zhuliangyou 5298 was combined in Anqing City, Anhui Province area, and its high yield cultivation techniques were summarized. From 2022 to 2024, this variety was planted in 12 demonstration sites, including Wangjiang County in Anqing City, with an upright and upward curved plant shape; the growth period was 130-136 days, with an average seed setting rate of 85.77%, a thousand grain weight of 24.1 g, and a yield of 8 280-9 000 kg/hm²; good polished rice yield and excellent rice quality; strong anti lodging ability. Its high yield cultivation techniques include early sowing (sowing and seedling cultivation from late April to mid May), timely transplanting, cultivating strong seedlings, keeping the soil of the seedling field moist, applying “weaning fertilizer” (urea 60-75 kg/hm²) according to the growth of the seedlings, and timely prevention and control of seedling diseases and pests such as rice thrips and bakanae disease; select high speed rice transplanter operation based on seedling quality, planting time, etc., inspect and debug the transplanting machinery according to the settings, determine the planting distance, seedling amount, and depth; timely weed control (spraying pesticides such as butachlor for soil sealing, spraying pesticides such as butazone for stem and leaf control during the seedling stage, and spraying pesticides such as 30% propiconazole for sealing throughout the field after the seedlings); heavy application of base fertilizer (45% compound fertilizer 450-600 kg/hm²), early application of tillering fertilizer (high nitrogen and high potassium compound fertilizer 225-300 kg/hm²), and supplementary application of ear fertilizer (potassium chloride 112.5-150.0 kg/hm²); shallow water seedling planting, deep water live planting, alternating dry and wet conditions to promote tillering; appropriate pesticides should be used during the growth period of the field to prevent and control diseases and pests such as rice blast and sheath blight. This article provides a reference for further promotion and planting of this variety in similar regions.

Epigenetic regulation refers to the heritable control of gene expression without alterations in the DNA sequence, achieved through mechanisms such as DNA methylation, histone modification, RNA modification, chromatin remodeling and non-coding RNAs. Epigenetics provides an additional and flexible source of trait variation for horticultural crop improvement, opening innovative avenues for breeding new varieties capable of addressing challenges like climate change adaptation, disease and pest resistance, and quality enhancement. This review systematically synthesizes current research progress on the epigenetic regulation of key agronomic traits in horticultural crops and summarizes relevant breeding tools and methods developed for their use in horticultural crop breeding. It aims to provide a theoretical reference for further understanding the epigenetic basis of the formation of horticultural crop traits, and provide a theoretical basis and technical support for the promotion and application of epigenetic breeding in horticultural crops.

As an abiotic stress factor, UV-B radiation significantly impacts plant morphological development, physiological and biochemical processes, and molecular mechanisms. This paper reviewed the regulatory effects of UV-B radiation on plant morphology (e.g., inhibition of stem elongation, reduction in leaf area, and alteration of root-to-shoot ratio), as well as its direct or indirect damage to cell membrane stability, osmotic regulation substances (e.g., soluble sugars, proline), antioxidant defense systems (enzyme activities such as SOD, CAT, APX, and non-enzymatic antioxidants), and photosynthetic systems. Plants enhance their adaptability to UV-B stress through molecular mechanisms such as synthesizing secondary metabolites like flavonoids and anthocyanins, activating the UVR8-mediated signaling pathway, and activating hormone regulation and secondary metabolic genes. Furthermore, combined stress from UV-B and other environmental factors (e.g., temperature, drought, heavy metals) often exhibits synergistic or antagonistic effects, with complex mechanisms varying across species. Current research primarily focuses on crops and herbaceous plants under controlled experimental conditions. Future studies should integrate multi-omics technologies and long-term field observations to deeply unravel the molecular networks and ecological adaptability of plants in response to UV-B radiation, providing insights for stress-resistant breeding and ecological restoration.

[Objective]Asparagus officinalis L. is a perennial plant with a long harvesting cycle and fast growth rate. The harvesting period of tender stems is relatively concentrated, and the shelf life of tender stems is very short. Therefore, the harvested asparagus needs to be classified according to the specifications of asparagus in a short time and then packaged and sold. However, at this stage, the classification of asparagus specifications basically depends on manual work, and it is difficult for asparagus of different specifications to rely on sensory grading, which requires a lot of money and labor. To save labor costs, an algorithm based on asparagus stem diameter classification was developed using deep learning and computer vision technology. YOLOv11 was selected as the baseline model and several improvements were made to propose a lightweight model for accurate grading of post-harvest asparagus. [Methods] Dataset was obtained by cell phone photography of post-harvest asparagus using fixed camera positions. In order to improve the generalization ability of the model, the training set was augmented with data by increasing contrast, mirroring, and adjusting brightness. The data-enhanced training set included a total of 2 160 images for training the model, and the test set and validation set included 90 and 540 images respectively for inference and validation of the model. In order to enhance the performance of the improved model, the following four improvements were made to the baseline model, respectively. First, the efficient channel attention (ECA) module was added to the twelfth layer of the YOLOv11 backbone network. The ECA enhanced asparagus stem diameter feature extraction by dynamically adjusting channel weights in the convolutional neural network and improved the recognition accuracy of the improved model. Second, the bi-directional feature pyramid network (BiFPN) module was integrated into the neck network. This module modified the original feature fusion method to automatically emphasize key asparagus features and improved the grading accuracy through multi-scale feature fusion. What's more, BiFPN dynamically adjusted the importance of each layer to reduce redundant computations. Next, the slim-neck module was applied to optimize the neck network. The slim-neck module consisted of GSConv and VoVGSCSP. The GSConv module replaced the traditional convolutional. And the VoVGSCSP module replaced the C2k3 module. This optimization reduced computational costs and model size while improving the recognition accuracy. Finally, the original YOLOv11 detection head was replaced with an EfficientDet Head. EfficientDet Head had the advantages of light weight and high accuracy. This head co-training with BiFPN to enhance the effect of multi-scale fusion and improve the performance of the model. [Results and Discussions] In order to verify the validity of the individual modules introduced in the improved YOLOv11 model and the superiority of the performance of the improved model, ablation experiments and comparison experiments were conducted respectively. The results of the comparison test between different attentional mechanisms added to the baseline model showed that the ECA module had better performance than other attentional mechanisms in the post-harvest asparagus grading task. The YOLOv11-ECA had higher recognition accuracy and smaller model size, so the selection of the ECA module had a certain degree of reliability. Ablation experiments demonstrated that the improved YOLOv11 achieved 96.8% precision (P), 96.9% recall (R), and 92.5% mean average precision (mAP), with 4.6 GFLOPs, 1.67 × 10⁶ parameters, and a 3.6 MB model size. The results of the asparagus grading test indicated that the localization frames of the improved model were more accurate and had a higher confidence level. Compared with the original YOLOv11 model, the improved YOLOv11 model increased the precision, recall, and mAP by 2.6, 1.4, and 2.2 percentage points, respectively. And the floating-point operation, parameter quantity, and model size were reduced by 1.7 G, 9.1 × 10⁵, and 1.6 MB, respectively. Moreover, various improvements to the model could increase the accuracy of the model while ensuring that the model was light weight. In addition, the results of the comparative tests showed that the performance of the improved YOLOv11 model was better than those of SSD, YOLOv5s, YOLOv8n, YOLOv11, and YOLOv12. Overall, the improved YOLOv11 had the best overall performance, but still had some shortcomings. In terms of the real-time performance of the model, the inference speed of the improved model was not optimal, and the inference speed of the improved YOLOv11 was inferior to that of YOLOv5s and YOLOv8n. The inference speed of improved YOLOv11 and YOLOv11 evaluate using the aggregate test. The results of the Wilcoxon signed-rank test showed that the improved YOLOv11 had a significant improvement in inference speed compared to the original YOLOv11 model. [Conclusions] The improved YOLOv11 model demonstrated better recognition, lower parameters and floating-point operations, and smaller model size in the asparagus grading task. The improved YOLOv11 could provide a theoretical foundation for intelligent post-harvest asparagus grading. Deploying the improved YOLOv11 model on asparagus grading equipment enables fast and accurate grading of post-harvest asparagus.

The growth environment, especially soil conditions, has a significant impact on the quality of Chinese medicinal materials such as Gastrodia elata. The research progress on the characteristics of Gastrodia elata growth soil from aspects such as the soil types suitable for the growth of Gastrodia elata, as well as the physical, chemical and biological characteristics of the growth soil was summarized. Gastrodia elata thrives in loose and moderately sandy loam. Yellow soil and yellow-brown soil are commonly suitable dominant soil types. Research on the physical properties of Gastrodia elata soil mainly focuses on soil moisture content. In addition, physical properties such as soil texture, porosity, water-holding capacity also affect the quality of Gastrodia elata. In terms of chemical properties, the suitable soil pH for Gastrodia elata is 4.00-6.30, and the organic matter content is 28.63-138.30 g/kg. Among them, phosphorus is crucial for the improvement of its yield and quality. During its cultivation process, effective measures should be focused on to increase the available phosphorus content in the soil. Heavy metals such as lead and arsenic, as well as macromolecular organic substances like valenoic acid and o-heptadecanoyl carnitine, are also its important chemical properties. In terms of biological characteristics, it mainly includes research on soil microbial structure and diversity. Crop rotation or fallow can restore microbial diversity. The application of lime, anti-continuous cropping agents and other improvement agents can regulate the microbial community structure to alleviate continuous cropping obstacles and increase yield.

The strip intercropping model of soybean and corn can fully utilize the edge row advantage and reasonably coordinate the needs of soybean and corn plants for light, fertilizer, and water. The practice of strip intercropping of soybean and corn in Northern Anhui Province was combined, and its high yield cultivation techniques and promotion effects were summarized. High yield cultivation techniques include selecting suitable soybean and corn varieties; reduce plant spacing, ensure density, and choosing soybean corn planting model of 4:2 or 6:4; adopt fungicides, insecticides, etc. for seed coating treatment, and adhere to the “four suitable” sowing methods of suitable period, suitable soil moisture, suitable depth, and suitable formula; applying sufficient basal fertilizer and applying topdressing at the appropriate time; timely check and supplement seedlings, adopting the weed control method of “closed weeding+spraying on stems and leaves after seedlings”, and paying attention to isolation measures; adopting integrated agricultural, physical, biological, and chemical control techniques for disease and pest prevention and control; timely chemical control to prevent plant lodging; after soybeans and corn mature, appropriate machinery is used for harvesting. The research area was promoted the applied this model from 2022 to 2024, achieving the goal of “basically no reduction in corn production and one additional season of beans”. This article provides a reference for promoting the strip intercropping model of soybean and corn in Northern Anhui Province and related areas.

With the advancement of agricultural supply-side structural reforms and the growing demand for high-quality, safe, and eco-friendly agricultural products in China, cotton production now faces the challenge of coordinating multiple objectives, including yield enhancement, quality optimization, simplified and efficient management, and environmental sustainability. To address these challenges, this paper proposes the novel concept of multi-objective collaborative cultivation (hereafter termed “collaborative cultivation”). We systematically elaborate on the theoretical foundations underpinning this approach, including mechanisms of precision sowing for robust seedling establishment, synergistic water-fertilizer management under partial root-zone irrigation, population regulation through high-density planting with chemical regulation and pruning-free canopy shaping, physiological mechanisms of defoliation-ripening for synchronized boll maturation, and compensatory growth strategies ensuring yield stability under abiotic stress. Building on these theorical bases and international research insights, we identify four core technologies of collaborative cultivation: (i) precision sowing coupled with stress-resilient seedling establishment under adversity, (ii) high-density planting with chemical regulation for canopy shaping, (iii) variable-rate drip irrigation with water-fertilizer synergy management, and (iv) synchronized maturation control technology. Empirical evaluations demonstrate that the integrated application of these technologies optimizes resource utilization, enhances productivity, and ensures fiber quality consistency, while reducing labor inputs and chemical usage. Case studies from major cotton-producing regions validate that collaborative cultivation achieves synergistic outcomes in productivity, sustainability, and economic viability, aligning with green agricultural development goals. Future research priorities include optimizing multi-objective trade-offs, deciphering genotype-environment-management interactions, enhancing stress compensation mechanisms, and extending collaborative principles to multi-cropping systems. Through interdisciplinary innovation and technology integration, this framework offers a systemic solution for high-quality cotton industry development, demonstrating significant potential to drive the sector's green transformation and sustainable advancement.

Canine distemper is a non zoonotic disease caused by the canine distemper virus (CDV). This study focuses on dogs suspected of suffering from canine distemper, and diagnoses them through clinical examination, blood biochemical indicators, blood routine indicators,and antigen detection; adopt methods such as combining traditional Chinese and Western medicine (Sangju Yinqiao powder decoction + Doxycycline powder, etc.) and treating based on syndrome differentiation to treat it. The results showed that the diseased dogs had poor mental state, frequent sneezing, thick nasal discharge, and bleeding. The concentrations of albumin, haptoglobin, alpha-1-antitrypsin, and globulin in the diseased dog were higher than the reference values. The total number of white blood cells, eosinophils, and neutrophils were significantly increased. The antigen test was positive. All the evidence indicates that the dog is suffering from canine distemper.After treatment, the dog’s condition improved, and its appetite, mental state, blood biochemical indicators, and blood routine indicators all returned to normal. This article provides reference for the diagnosis and treatment of this disease.

【Objective】Salt stress is one of the main environmental stresses that restrict rice production. Studying the physiological characteristics under salt stress and analysis the allelic variation and expression of salt-tolerance genes provide key gene resources and genetic materials for breeding salt-tolerance rice varieties. 【Method】This study first evaluated the salt-tolerance ability of the Nangeng series high-quality rice varieties/lines during the seedling stage, using survival rate as an indicator for screening salt-tolerance varieties, which physiological changes under salt stress were analyzed, including chlorophyll, Na⁺, K⁺, MDA, H₂O₂ and soluble sugar. The variation types and expression levels of salt-tolerance genes in rice varieties with resistance to high salt concentration were also analyzed to explaining their molecular mechanisms in response to salt stress. 【Result】Under the condition of treating with 140 mmol·L^-1 NaCl for 6 days, the survival rates of NG9108, NG5718, and NGY1 were greater than 60%, with the highest survival rate among the tested varieties. Compared with Nipponbare, the seedlings of NG9108, NG5718, and NGY1 under salt stress had higher chlorophyll content and lower MDA content, indicating that salt stress caused less cell damage to the three varieties. The Na⁺/K⁺ values in the roots of NG9108, NG5718, and NGY1 were significantly higher than those in Nipponbare, while the Na⁺/K⁺ values in the aerial parts were significantly lower than those in Nipponbare, implying that the three varieties absorb or store more Na⁺ in roots, but transport less Na⁺ upwards, which is beneficial for maintaining cell ion balance and causing less ion toxicity and osmotic stress in aerial parts of the seedlings. The three salt-tolerance varieties have 94 SNPs or InDel sites, distributing in exons, introns, 5′UTR, and 3′UTR of the 23 salt-tolerance genes. 24 variation sites of 11 genes occur in the exons, including 7 genes with frameshift mutations or missense mutations which distributed in Os02g0813500 (OsGR2), Os05g0343400 (OsWRKY53), Os06g0685700 (OsRST1), Os07g0685700 (OsEIL2), Os10g0431000 (OsPQT3), Os11g044600 (OsRSS3), Os12g0150200 (P450). Salt stress significantly induces expression of OsSKC1, OsBAG4, OsGPX1, OsCCX2, OsGR3, OsDREB2a, OsRAB21, OsP5CS, OsbZIP23, OsAPX37 and OsLEA3, which help to enhance salt tolerance and reduce the adverse effects of salt damage on rice growth. 【Conclusion】NG9108, NG5718 and NGY1 showed strong salt tolerance phenotype during the seedling growth stage, which is closely related to the balance of sodium and potassium ions under salt stress, allelic variations of multiple salt tolerance genes, and gene expression levels. NG9108, NG5718 and NGY1 have pyramided multiple salt tolerant and high-quality genes, which can be used as backbone parents for genetic improvement and breeding.

【Objective】 The excessive application of nitrogen fertilizers has led to ecological pollution and waste of agricultural resources. Developing nitrogen-efficient wheat varieties and improving nitrogen use efficiency are effective approaches for achieving sustainable agricultural development and environmental protection. Screening low-nitrogen-tolerant germplasm resources and identifying genetic loci and candidate genes associated with low-nitrogen tolerance can provide materials and theoretical foundations for breeding nitrogen-efficient wheat varieties. 【Method】 A natural population consisting of 389 wheat varieties was cultivated under high-nitrogen (HN) and low-nitrogen (LN) treatments in 10 field environments. Grain yield per plant (GYP) was measured to calculate the stress tolerance index (STI), thereby enabling the classification of varieties with differential low-nitrogen tolerance. Genome-wide association studies (GWAS) were conducted using 660K SNP array genotyping data to identify stable genetic loci associated with low-nitrogen tolerance. Candidate genes were prioritized through haplotype analysis, expression profiling, and functional annotation. 【Result】 Twelve wheat varieties with strong low-nitrogen tolerance were identified, including Zhongluo 08-1, Jimai 15, Jinghua 2, Kehong 1, Mianyang 19, Jimai 22, Zhenmai 4, Yumai 35, Fengkang 7, Mianyang 11, Jinmai 31, and Lumai 5. Fourteen loci significantly associated with STI were detected, among which four (qSTI1A.1, qSTI3B, qSTI6A, and qSTI7A.2) overlapped with previously reported low-nitrogen tolerance or yield-related QTLs. Notably, qSTI3B-replicated across three environments-was identified as a key locus governing low-nitrogen tolerance. Functional annotation revealed that its candidate gene, TraesCS3B02G042400, encodes an AP2/EREBP (APETALA2/ethylene-responsive element-binding protein) transcription factor. Haplotype analysis showed significant STI divergence among varieties carrying distinct haplotypes, while expression levels of TraesCS3B02G042400 exhibited nitrogen dose-responsive upregulation. 【Conclusion】 Twelve wheat varieties with strong low-nitrogen tolerance were screened. A stable genetic locus, qSTI3B, and a candidate gene, TraesCS3B02G042400, associated with low-nitrogen tolerance were identified.

【Objective】Cotton bollworm (Helicoverpa armigera) and field weeds are major constraints to high-yield cotton production. Existing varieties with single traits (insect resistance or herbicide tolerance) fail to meet the demands of efficient cultivation. Developing transgenic cotton varieties with combined insect resistance and glyphosate tolerance will provide high-efficiency germplasm resources for stress-resistant cotton breeding.【Method】The insect-resistant fusion gene cry1Ac-vip3Da and glyphosate-tolerant gene g10-epsps were introduced into cotton R15 through Agrobacterium-mediated method, regenerated transgenic plants were screened via PCR, positive lines underwent multi-generation self-pollination to achieve homozygosity, and stable lines with superior resistance were selected. The expression of target genes in different tissues of transgenic lines was analyzed using qRT-PCR and ELISA. Bioactivity assays and glyphosate tolerance tests were conducted to evaluate the genetic stability of insect resistance and herbicide tolerance across generations (T₄-T₆). Agronomic traits of transgenic lines were comprehensively assessed. 【Result】Eight positive transgenic lines with dual resistance were identified through PCR screening, and CA-6, CA-7 and CA-17 lines exhibited higher resistance. qRT-PCR revealed high expression of cry1Ac-vip3Da and g10-epsps in all tissues of these lines, and expression levels varied significantly among tissues. ELISA analysis demonstrated significant differences in Cry1Ac-Vip3Da and G10-EPSPS protein content across tissues of the three transgenic lines, with the highest levels observed in leaves. Protein accumulation gradually decreased during the developmental stages (from the four-leaf stage to boll-opening stage), but remained stable across T₄-T₆ generations. Bioactivity assays and glyphosate tolerance tests demonstrated that three transgenic cotton lines (T₄-T₆ generations) exhibited corrected mortality rates of 65.12%-82.75%, tolerated glyphosate at over four times the recommended dosage, and showed no attenuation of resistance across generations. There were no significant differences in plant height, number of fruit branches, number of bells per plant, bell weight, lint percentage, seed cotton yield, and lint cotton yield between transgenic lines and R15.【Conclusion】The exogenous genes cry1Ac-vip3Da and g10-epsps were stably inherited across generations in transgenic lines CA-6, CA-7, and CA-17, conferring dual insect resistance and glyphosate tolerance without compromising agronomic performance.

[Purpose/Significance] In the digital era, information literacy has evolved from an academic skill into a fundamental competency that is essential for civic participation and lifelong learning. Traditional information literacy education in digital libraries is faced with significant challenges including the need for standardized content delivery, limited interactivity, high development costs, and insufficient user engagement. The rapid advancement of generative artificial intelligence (GenAI) technologies presents an unprecedented opportunity to transform information literacy education by leveraging powerful capabilities in natural language processing, personalized interaction, and content generation. This study represents a pioneering systematic exploration of how GenAI can be strategically integrated into digital library information literacy education, It addresses a critical gap in existing research, which primarily focuses on general educational applications rather than library-specific contexts. The research strengthens the theoretical basis of AI-enhanced library education and offers practical advice to institutions adopting innovative educational technologies while upholding quality and ethical standards. [Method/Process] This study employs a comprehensive mixed-method approach combining systematic literature review, theoretical analysis, and conceptual framework development. The methodology is grounded in well-established information literacy frameworks, particularly the ACRL Framework, which provides a foundation for breaking down information literacy education into five key components: information need identification, retrieval strategy development, resource evaluation, information management, and ethics education. A four-dimensional challenge analysis framework was constructed encompassing content quality and credibility, pedagogical methods and learning outcomes, ethics and social equity, and operational considerations. The research synthesizes evidence from emerging AI-enhanced education practices, preliminary library applications, and educational technology literature to develop comprehensive application pathways and strategic responses. [Results/Conclusions] The research identifies specific GenAI integration pathways across the complete information literacy process. Applications include intelligent dialogue guidance for need identification, simulated training environments for retrieval skills, controlled assessment materials for evaluation practice, and interactive ethical scenario simulations. Four primary challenge categories are revealed: content quality issues including AI hallucination and embedded biases; pedagogical challenges such as over-dependence risks and assessment complexity; ethical concerns encompassing data privacy and algorithmic discrimination; and operational challenges including implementation costs and staff capability requirements. Strategic responses include human-AI collaborative review mechanisms, process-oriented task design emphasizing critical thinking, transparent ethical governance frameworks, and comprehensive staff development initiatives. The study emphasizes librarian role transformation toward learning facilitators, AI literacy educators, and ethics advocates. Despite contributions, limitations include reliance on theoretical analysis rather than empirical validation and insufficient attention to user group heterogeneity. To ensure equitable and effective AI-enhanced information literacy education, future research should prioritize empirical outcome studies, case studies of pioneering implementations, and development of library-specific AI tools.

【Objective】 To elucidate the causes of high-temperature stress inducing rice floret infertility, the present study analyzed the effects of high-temperature stresses on pollen release related traits including pollen grain swelling, anther dehiscence, pollen grain residue in anther and pollen grain deposition on the stigma of the differential genotypes Indica at anthesis. 【Method】Indica germplasms were sown in batches and cultivated in the Nanchang region, Jiangxi Province, China. The rice plants flowering at natural high-temperature environments on early August with 36.5-37.8 ℃ canopy temperature was used as treatments, and the rice plants flowering at suitable environments on middle September with 30.8-32.5 ℃ canopy temperature were used as controls. The pollen release related traits, such as pollen grain swelling, anther dehiscence, pollen grain residue in anther and pollen grain deposition on the stigma from treatments and controls, were detected and analyzed. 【Result】 After flowering under high-temperature stress, the rice germplasms Jiangxijiansimiao, Yuexiangzhan and Huangguangyouzhan show high-temperature tolerant at anthesis, and the floret fertility rates are 91.6%, 89.2% and 87.9%, respectively; while the germplasms Zhenfu, Yuzhenxiang, IR64 and Miyang46 show high-temperature sensitive at anthesis, and the floret fertility rates are just 55.2%, 60.3%, 61.1% and 73.2%, which are very significantly or significantly lower than that of its corresponding controls. Under high-temperature environments, the pollen grain swelling rates for the high-temperature sensitive germplasms Zhenfu, Yuzhenxiang, IR64 and Miyang46 are just 1.99%, 1.16%, 1.12% and 2.70%, which are very significant smaller than that of its corresponding controls; while the pollen grain swelling rates of the other germplasms show no significant difference between treatment and its corresponding control. Under high-temperature environments, the rates of anther dehiscence length in total anther length for the high-temperature sensitive germplasms Zhenfu, Yuzhenxiang, IR64 and Miyang46 are respective 66.0%, 45.4%, 48.7% and 63.6%, which are very significantly or significantly shorter than that of the corresponding controls, and the pollen grain residue are obvious more than that of the corresponding controls; while the anther dehiscence length rates and the pollen grain residue from the other germplasms show no significant difference between treatments and controls. After flowering under high-temperature environments, the average pollen grain number deposited on one stigma of the sensitive germplasms were about 20, which were significant less than that of the controls; while the average pollen grain number deposited on one stigma of the other rice germplasms show no significant difference between treatments and controls. 【Conclusion】 The high-temperature stresses inhibit the pollen grain swelling, effect the anther normal dehiscence, increase the pollen viscidity to impede the pollen grain releasing from anther and decrease the pollen grain number scattering on the stigma, inducing rice floret infertility and decreasing the seed set.

The effects of deep fertilization on soil nutrients, plant nutrient uptake, plant growth and development, crop yield and quality were reviewed. Proper deep application of nitrogen fertilizer, phosphorus fertilizer, compound fertilizer, and organic fertilizer can all increase soil nutrient content. For example, deep application of nitrogen fertilizer (10-25 cm) can reduce nitrogen leaching and volatilization losses in soil; as the depth of compound fertilizer application increases, the ability of nitrate nitrogen in the soil to move downward increases. Proper deep fertilization enhanced nutrient absorption efficiency in crops. Fertilization in appropriate soil layers can promote the growth and development of crops, increases chlorophyll content in leaves, improves photosynthetic characteristics. Appropriate deep fertilization aligns the active root zones with nutrient supply areas, and improves fertilizer utilization efficiency. The impact of deep fertilization on yield and quality varies among crops, but proper deep fertilization generally enhances both. This study provides a reference for determining optimal deep fertilizations for different crops and exploring the benefits of yield increase with reduced fertilizer input.

Ethylene Responsive Factor (ERF) transcription factors belong to the plant AP2/ERF transcription factor superfamily and are key regulatory factors in plants responses to biotic and abiotic stresses. They bind to the cis-acting element GCC-box through the conserved AP2/ERF domain, thereby regulating the spatiotemporal expression of target genes. This article reviews the structural characteristics, classification system, distribution patterns, and biological functions of plant ERF transcription factors. Structurally, they contain functional regions such as the DNA-binding domain and transcriptional regulatory domain, among which the amino acids at positions 14 and 19 of the AP2/ERF domain are key markers for classification. In terms of classification, both the ERF and DREB subfamilies can be further divided into 6 subgroups. In terms of distribution, the number of members of this family varies significantly among different plants, and the number of ERF subfamily members in dicotyledonous plants is usually more than that in monocotyledonous plants. The functional mechanism of ERF in biotic stress response is emphatically elaborated as follows. On the one hand, it enhances plant resistance to pathogens by activating disease-resistant genes such as PR and PDF1.2; on the other hand, ERFs containing the EAR motif can act as negative regulators to inhibit the expression of target genes. At the same time, this article summarizes the research status of peanut ERF, including family identification (our research group identified 76 ERF family members in cultivated peanuts in 2022), verification of stress resistance functions (such as AhERF008 and AhERF019 can enhance abiotic stress tolerance), and current limitations (such as insufficient systematic analysis and unclear regulatory mechanisms). Finally, the future research directions are prospected, proposing that multi-omics and gene editing technologies should be combined to analyze the ERF-mediated stress resistance network, so as to provide a theoretical basis and technical targets for peanut stress resistance molecular breeding and facilitate research on peanut stress resistance engineering.

[Purpose/Significance] Amid the global wave of digital transformation in education, artificial intelligence (AI) has emerged as a driving force behind Japanese educational reform, propelling the country's education system toward an "AI+" model. The "Approved Program for Mathematics,Data science and AI Smart Higher Education" (MDASH), led by the Japanese Ministry of Education, Culture, Sports, Science and Technology (MEXT), outlines a comprehensive framework for designing and implementing AI literacy (AIL) education in Japanese universities. MDASH not only reflects the Japanese strategic response to the AI-driven future, but also provides valuable theoretical references and practical guidance for enhancing AIL education in China. This study provides a detailed analysis of the "MDASH literacy-level" (MDASHL) curriculum model design, paying a particular attention to the model's modules and the mechanisms of interaction between them. It also examines the theoretical references from MDASHL review system to the AIL framework studies. The study proposes innovative implementation strategies for AIL education from unique perspectives, especially the "industry-academia integration" aspect. [Method/Process] Using internet research and literature analysis, starting with an exploration of Japanese national AI policy landscape, the study traces the evolution of Japanese AI policies and the contextual origins of the MDASH. It describes the objectives and philosophy of Japanese AIL education and delves into the theoretical underpinnings of the MDASHL curriculum model based on the mapping relationship between indicators of AIL frameworks and the components of the MDASHL review system. We select Hokuriku University, Wakayama University, Chiba University, and Kansai Univerisity as samples because they were approved by MDASHL and demonstrated exemplary effects. We introduce their subject curriculum design and specific teaching initiatives, identify the commonalities and unique characteristics of their AIL education, and further elaborate on their specific educational implementation pathways. [Results/Conclusions] The findings indicate that the Japanese MDASHL curriculum model is deeply rooted in the AIL frameworks. It summarizes five educational directions for Japanese AI literacy education: recognition, realization, comprehension, ethics, and practical operation. By comparing the current status of AIL education in China and Japan, the study found that Japanese AIL education has achieved rapid responsiveness and systematic development under the unified coordination of MEXT. It suggests that Japanese AI literacy education strategies have localized value, from which beneficial insights can be drawn in three areas: strategic planning, curriculum design, and industry-academia integration. These strategies provide innovative solutions for developing AIL education systems in Chinese universities. However, this study acknowledges limitations in the sample size. To comprehensively capture the full landscape of Japanese AIL education development, future research should expand the sample size, summarize its patterns and characteristics more thoroughly, and enhance the persuasiveness and generalizability of the findings.

Cadmium pollution has become a major global challenge to farmland safety, and safeguarding the quality of farmland is of paramount importance. This paper examined the sources and speciation of cadmium in soil, summarized the efficacy and mechanisms of plant-microbe systems in remediating cadmium-contaminated soils, including root interaction, metabolite regulation and cadmium speciation transformation. This study introduced the primary sources and characteristics of both plants and microorganisms in such synergistic systems, and elucidated the underlying remediation mechanisms as well as key influencing factors. Owing to the synergistic interactions between plants and microorganisms, the combined remediation system demonstrated superior efficiency in remediating cadmium-contaminated soils compared to individual remediation approaches. Finally, in view of the future research direction, it is recommended to introduce eco-friendly functional materials (such as biochar, nanomaterials, etc.) in order to provide efficient and environmentally friendly technical solutions for the remediation of cadmium-contaminated soil.

To establish an efficient and sustainable RNAi breeding control system, this paper summarizes the application potential of RNAi technology in crop disease and pest resistance, reviews the current research and development status of transgenic RNAi crops, and analyzes the design strategies and synergistic resistance mechanisms of multi-target tandem RNAi. The key points of elaboration include the "dsRNA/microRNA stable expression system", the "combined control model of complex pests and diseases (wheat scab - aphids, cotton wilt - cotton aphids)", and the "precise gene intervention approach for delaying resistance evolution", etc. It is pointed out that low delivery efficiency, poor environmental stability of dsRNA and high production cost remain the bottlenecks for large-scale application. This paper proposes that through the precise release technology of nano-carrier-plant symbiotic delivery, tandem expression of multi-gene silencers, and combined with ecological balance monitoring, the coordinated management of multiple pests and diseases can be achieved within 5 to 10 years. It is believed that this system will promote the transformation of agriculture towards a sustainable model of "precise genetic intervention + ecological balance maintenance", providing key support for global food security.

To explore new approaches for the application of efficient cellulose-degrading microorganisms in agriculture, this study conducted a literature review and analysison the screening of cellulose degrading bacteria and the optimization of enzyme production in recent years, summarizing and analyzing four key aspects: strain types, enzyme production condition optimization, construction of composite microbial communities, and applications of these microbial communities in agriculture. The study outlines different screening strategies and advantages of various strains, analyzes the raw material types and strain specificity for optimizing cellulose-degrading enzyme production conditions, and discusses the necessity and significance of constructing composite microbial communities. Additionally, it provides a comprehensive overview of the applications of cellulose-degrading microorganisms (or communities) in three areas: biofertilizers, crop residue utilization, and bioenergy. The study identifies current limitations, such as the limited variety of cellulases produced by single strains and the need for optimized enzyme production conditions in composite microbial communities. To address these issues, the study proposes focusing on enhancing the screening of efficient cellulose-degrading microorganisms, utilizing molecular biology techniques to construct gene banks for cellulose-degrading microorganisms, and studying their degradation mechanisms. These efforts aim to improve the efficiency of screening for cellulose-degrading microorganisms, reduce the waste of agricultural resources, and promote rapid agricultural development and resource recycling.

To further clarify the macrofungal species resources in Guiyang region, Guizhou Province, the composition of macrofungal species, dominant family and genus in 11 regions were investigated by random field investigation and questionnaire survey, and the correlation between macrofungal diversity and habitat and climate was investigated. A total of 429 fungal specimens were collected in the study area, and 215 species of macrofungi were identified and classified, belonging to 3 phyla, 8 classes, 19 orders, 47 families and 107 genera. At phylum level, basidiomycetes (90.23%) and ascomycetes (8.83%) were dominant phyla. At the genus level, Polyporaceae (21.395%), Marasmiaceae (7.907%) and Russulaceae (7.442%) were the dominant genera. In the market, a total of 21 kinds of large fungi such as red mushrooms, milk mushrooms and ganoderma lucidum were investigated, including 16 kinds of edible fungi, and the commodity potential was large. There were 69 kinds of edible fungi, 33 kinds of medicinal fungi and 16 kinds of poisonous fungi. The habitats of macrofungi were mainly mixed forest and broad-leaved forest. The species richness of macrofungi was affected by seasonal changes, and the species of fungi increased with the increase of precipitation. The research area is rich in macrofungal resources, so it is necessary to strengthen the research on the collection and domestication of fungi resources and artificial propagation, accelerate the cultivation of leading edible fungi enterprises, give full play to the advantages of fungi resources in Guiyang, and provide references for promoting the development of edible fungi industry in the area.

To address the issues of anthocyanin content and the types of monomeric anthocyanins in mulberries from the Yunnan region, 39 varieties of mulberries were investigated and analyzed for their anthocyanin content. The total anthocyanin content was determined using the pH differential method, the monomeric anthocyanin content was measured using high-performance liquid chromatography (HPLC), and the absorbance of red pigments in the edible parts of the mulberries was detected using spectrophotometry. The results showed that total anthocyanins were detected in 32 out of the 39 mulberry samples, and four types of monomeric anthocyanins were identified: cyanidin, pelargonidin, peonidin, and malvidin. Cyanidin was detected in 36 samples, pelargonidin in 33 samples, peonidin in 1 sample, and malvidin in 4 samples. Red pigments were detected in all 39 samples, with darker-colored mulberry fruits exhibiting higher red pigment content. The varieties ‘YX002’, ‘Hongguo 2’, ‘Jialing 30’, ‘Mengtong 4’, and ‘YX001’ has exhibit high levels of red pigments and anthocyanins, along with a rich diversity of monomeric anthocyanins. Among these, ‘YX002’ can have the highest total anthocyanin content, reaching 59.05 mg/L, and both cyanidin and pelargonidin also be detected in this variety.

To optimize and promote the techniques of potato planting and field management, based on the production practice of potato planting, the technical key points were summarized in the process of its planting and field management from four aspects: variety selection, soil improvement, sowing and fertilization, and field management. Including giving priority to the selection of high quality, high yield and disease resistant varieties; implement in-depth cultivation and carry out reasonable crop rotation; determine the sowing time based on climatic conditions, and determine the sowing density and depth based on the characteristics of the variety; apply fertilizers scientifically and appropriately increase the application of nitrogen, phosphorus and potassium fertilizers; strengthen hoeing, soil mounding and water management, and appropriate microbial preparations, chemical agents, etc. are adopted to control diseases and pests such as late blight, cutworms and aphids. The above measures have increased the yield and quality of potatoes and improved the economic benefits of growers. This article provides a reference for the scientific planting and field management of potatoes.

To evaluate the nutritional value of distillers dried grains with solubles (DDGS) derived from various raw materials, 30 DDGS samples were classified into 5 groups based on their raw material sources and crude protein content: rice DDGS, corn DDGS (Ⅰ), corn DDGS (Ⅱ), low-proportion cassava DDGS (CP > 18%), and high-proportion cassava DDGS (CP < 18%). The nutritional composition and predicted energy values were compared among these groups. Additionally, 5 representative DDGS samples were selected for further analysis of their gross energy, enzyme hydrolysate gross energy (EHGE), and digestibility determined by simulated digestion method.The results demonstrated that as the cassava substitution ratio increased, the crude protein and crude fat content of cassava DDGS gradually decreased, while crude fiber and crude ash content increased. Furthermore, model-predicted energy analysis revealed a significant decline in energy value with higher cassava substitution ratios, indicating poorer quality. Simulated digestion experiments confirmed that the energy value and digestibility of cassava DDGS decreased as the cassava substitution ratio rose.In conclusion, low-proportion cassava DDGS, with its high crude protein content and superior digestibility, is suitable as a quality protein source. Conversely, high-proportion cassava DDGS, characterized by elevated crude fiber and crude ash content, is less suitable for monogastric animals due to reduced nutrient utilization but can serve as a cost-effective roughage for ruminants.

【Objective】 This study aimed to explore the effects of different residue return methods on nitrogen fractions, nitrogen mineralization and nitrogen-cycling genes in black soil of Northeast China, and to clear the soil nitrogen supply capacity and the change of soil nitrogen cycling gene community structure under long-term residue return. 【Method】 Based on the long-term experiment of black soil in Northeast China, the residue incorporated into soil (RI) and the residue covered on soil surface (RC) under monoculture maize were selected, with residue removed as control (CK). Nitrogen content in soil fractions were measured, soil nitrogen mineralization incubation was conducted by using leaching incubation at intervals, and fluorescence quantitative PCR (qPCR) was used to determine the copy number of nitrogen-cycling genes in soil. 【Result】 After 8-year experiment, compared with CK, RC significantly increased the content of particulate organic nitrogen (PON)(0.21 g·kg^-1) and mineral-associated organic nitrogen (MAON) (0.27 g·kg^-1) in surface (0-5 cm) soil, whereas RI only increased the content of MAON (0.13 g·kg^-1) in soil (P<0.05). Residue return (RI and RC) markedly increased the microbial biomass nitrogen (MBN) in soil by 1.4-2.8 times (P<0.05), the RI had higher content of ammonium nitrogen (NH₄⁺) and dissolved organic nitrogen (DON), while the RC had the lowest content of nitrate nitrogen (NO₃^-). In comparison with CK, residue return significantly enhanced soil nitrogen mineralization amount by 25.3%-83.2% (P<0.05), taking the descending order of RC>RI>CK. Residue return remarkably increased the potential of soil nitrogen mineralization (N₀) and mineralization rate constant (k) (P<0.05) by using a first-order reaction kinetics model, both showing the highest values under RC, with N₀ and k reached 199.8 mg·kg^-1 and 0.31 mg·kg^-1·d^-1, respectively. Random forest analysis indicated that PON, MBN, and NO₃^- had greater impacts on N₀. In addition, the abundance of nifH, AOB and nirS genes under residue return were enhanced and the abundance of AOA and nirK genes under residue return were declined in comparison with residue removed (P<0.05), which indicated that residue return could change the structure of soil nitrogen-cycling genes communities. Redundancy analysis (RDA) result showed that the changes of soil microbial community structure were affected by different nitrogen fractions under different residue return methods. 【Conclusion】 Long-term residue covered on soil surface had the highest organic nitrogen content and nitrogen mineralization potential in soil. It was beneficial to improve soil nitrogen pools and to ensure the supply of nitrogen required for plant growth, which provided greater possibility for reducing the application of chemical nitrogen fertilizer in cropland in black soil of Northeast China.

In this study, local indigenous arbuscular mycorrhizal fungi (AMF) - Glomus consrictum were selected. Under the stress of cadmium (Cd) at different concentrations (0, 5, and 10 mg/kg), to explore its effects on the physical and chemical properties of soil and the fixation effect of Cd in soil in three treatment groups: no addition of biochar, addition of biochar A (corn stalks), and addition of biochar B (corn cobs). The FTIR spectral analysis results showed that the functional groups contained in the two types of biochar were approximately the same. The results of the co-treatment of AMF and biochar showed that the addition of two biochars decreased soil total Cd by 2.9%-25.1%, soil available Cd content by 4.8%-15.3%, and increased soil available potassium and soil available phosphorus content under different initial Cd concentrations. The soil pH and soil organic matter increased slightly, but the content of soil alkali-hydrolyzed diffused nitrogen decreased. Comprehensive comparison, under low Cd concentration, corncob biochar had a more significant effect on reducing soil total Cd and available cadmium, but under medium and high Cd concentration, corn straw biochar had a more significant effect on reducing soil total Cd and available Cd.

Facing increasingly stringent standards for aquaculture tail water discharge, China's Macrobrachium rosenbergii farming industry urgently needs to upgrade and transform. This article summarizes the research progress on ecological healthy aquaculture technology of Macrobrachium rosenbergii in China, including technical models such as healthy intensive aquaculture in ponds, ecological mixed aquaculture in ponds, comprehensive cultivation in rice fields, symbiotic aquaculture of aquatic plants, ecological three-dimensional aquaculture, enclosure of reservoirs and lakes, etc, and discussed the direction of ecological aquaculture. Additionally, the future development direction of Macrobrachium rosenbergii industry in our country was also prospected, in order to provide reference for the green, healthy and sustainable development of the Macrobrachium rosenbergii industry in our country.

As an important food crop in the world, rice plays an irreplaceable role in ensuring food security. However, rice production faces many challenges, especially the increasingly serious problem of pests and diseases, which poses a major threat to yield and quality. This paper reviews the major rice pests and diseases worldwide, along with biological control and ecological regulation technologies. It analyzes the types, occurrence patterns, and current progress in the prevention and control of rice pests and diseases in China, emphasizing the importance of biological control and non-chemical pest management in reducing the reliance on chemical pesticides. Key challenges in the integrated management of major rice pests and diseases, such as insufficient scientific and technological support, weak regulatory oversight, and the low level of industrialization of control technologies, are discussed. In response, the paper proposes the main objectives and key directions for technological innovation during the '15^th Five-Year Plan' period, including research on the formation mechanisms of pest outbreaks, the development of rice immune mechanisms, and green control technologies. Furthermore, it highlights the integration of emerging technologies, such as artificial intelligence and gene editing, to enhance the comprehensive management of rice pests and diseases, ensuring the sustainable development of the rice industry.

[Purpose/Significance] In the era of cloud computing, the Library Services Platform (LSP) failed to become a unified solution for libraries it promised to be. Now, it faces new development bottlenecks in the era of smart libraries. Its relatively rigid architecture, isolated data models, and limited intelligence level make it difficult to meet modern users' urgent demands for access to new resource ecosystems and proactive services. This limitation stems from the fact that existing LSPs are rooted in a resource management design philosophy. They lack native support for intelligence, personalization, and ecosystem integration, which hinders their ability to serve as a core component in the construction of smart libraries. [Method/Process] The rapid development of large language model (LLM) technology is promoting libraries to transition from digital intelligent phases into a new era of intelligent services. As AI agents are increasingly emerge as a core strategy for LLM applications, this paper proposes a next-generation LSP architecture called A-LSP, which is agent-oriented. The core of A-LSP consists of a three-layer logical model. 1) Layer 1: Compatibility & Tools - MCP Marketplace, serving as the foundation of the platform, this layer bridges the agent ecosystem with the external world. It transforms existing heterogeneous library systems (including legacy LSPs) and external tools into invocable "capability units" for agents through standardized protocols. 2) Layer 2: Orchestration & Intelligence－Agent Middleware. Functioning as the platform's "operating system" and "brain," this layer handles agent lifecycle management, task planning and decomposition, state and memory maintenance, and most crucially, the coordination of multi-agent collaboration. 3) Layer 3: Application & Ecosystem - Agent Marketplace. This functional layer serves users and developers, where various reusable agents encapsulating specific business logic are published, discovered, combined, and invoked, creating a rich application ecosystem. This architecture enables the implementation of new platform strategies without replacing legacy systems, establishing a modern technological platform with endogenous intelligence, inclusive compatibility, and an open ecosystem. This agent-based library service platform can be seen as a significant upgrade to existing LSPs, it drives their transformation from resource management-centric to agent service-centric, establishing itself as the library service platform for the AI era. [Results/Conclusions] Moreover, this paper puts forward a "Five Centers" construction demand framework for future libraries, namely, the Smart Resource Center, Smart Service Center, Smart Learning Center, Smart Scholarly Communication Center, and Smart Cultural Heritage Center, to build a blueprint for the integration of library technology and business. For each center, it delineates a representative complex application scenario and analyzes the underlying multi-agent collaboration processes, thereby clearly demonstrating A-LSP's deep integration with each center's operational logic and illuminating its profound impact on future library service models.

Low temperature is one of the major environmental stress factors affecting plants, exerting significant influence on photosynthetic capacity and thereby hindering plant growth and development. The impact of low temperature stress on the photosynthetic mechanisms in plant leaves was summarized, focusing on changes in cellular anatomical structure, cell membrane permeability, osmoregulatory substances, and photosynthetic carbon assimilation. In terms of cellular anatomical structure, low temperature stress may disrupt the palisade/spongy tissue ratio in mesophyll cells and damage chloroplast ultrastructure. Regarding cell membrane permeability, low temperature stress induces electrolyte leakage, along with the accumulation of malondialdehyde and reactive oxygen species, leading to membrane lipid peroxidation. Plants counteract this by enhancing the activity of antioxidant enzymes such as superoxide dismutase (SOD) to maintain ROS homeostasis. Concerning osmoregulatory substances, low temperature stress triggers the dynamic accumulation of proline, soluble sugars, and proteins to sustain photosynthetic performance. In photosynthetic carbon assimilation, low temperature stress reduces chlorophyll content and the activity of ribulose-1,5-bisphosphate carboxylase/oxygenase (Rubisco), altering key photosynthetic parameters such as net photosynthetic rate (Pn) and intercellular CO₂ concentration (Ci). Phosphoenolpyruvate carboxylase (PEPC) compensates for the decline in Rubisco activity by fixing low-concentration CO₂, thereby mitigating photosynthetic losses. In conclusion, this article provides a reference for analyzing the mechanism of plants’ response to low temperatures and improving the photosynthetic performance of plant leaves under low temperature stress conditions.

Maize is the crop with the largest planting area in China, playing a crucial role in safeguarding national food security. Dwarfing breeding is a core approach to break the bottleneck of maize yield per unit area by optimizing plant architecture and increasing planting density. This paper systematically reviews the research progress on maize dwarf genes, with a focus on clarifying the biological significance of maize plant height traits, the practices of dwarf genetic breeding, and the regulatory mechanisms of plant hormones on plant height, while proposing future research directions. The results show that: (1) maize plant height is co-regulated by the number of internodes and internode length. Dwarf plants can reduce lodging risk by shortening internode length, optimize canopy structure, and improve light energy use efficiency and adaptability to dense planting, but it is necessary to coordinate the relationship between dwarfing and yield traits. (2) Maize dwarf genetics is divided into two major systems: single-gene and multi-gene. In the single-gene system, the br2 gene has the clearest molecular mechanism—it inhibits the elongation of stem cells, reducing stem length by 40% to 50% compared with the wild type, with a more significant effect on internodes below the ear position—and it is the most widely used major gene at present. The multi-gene system can avoid the defect of pleiotropy by accumulating minor-effect genes, and varieties such as 'Aidan 268' that balance dwarfing and high yield have been bred. (3) Gibberellin (GA), brassinosteroid (BR), and auxin (IAA) are the core hormones regulating plant height: mutations in GA synthesis-related genes (d1, an1) or signal genes (d8, d9) lead to dwarfing, loss of function of BR synthesis genes (brd1, na2) or signal genes (ZmBRI1a) causes stunted plants, and abnormal function of the IAA polar transport gene (br2) results in dwarfing of lower stem nodes. Currently, maize dwarf breeding has problems such as a relatively small number of applicable genes (more than 60 dwarf genes have been discovered, and about 40 have been cloned), genetic linkage drag restricting the coordination of traits, and insufficient functional verification of novel dwarf genes (such as the mapped genes K718d and d8227). In the future, it is necessary to explore medium dwarf genes suitable for dense planting, use genome-wide selection technology to aggregate multiple genes, and integrate phenomics with artificial intelligence to screen for ideal plant architecture, so as to breed maize varieties with the characters of dwarf stalks for lodging resistance, dense planting for high yield, wide adaptability and easy mechanical harvesting, and provide support for the sustainable development of the maize industry.