[Significance] Big Models, or Foundation Models, have offered a new paradigm in smart agriculture. These models, built on the Transformer architecture, incorporate numerous parameters and have undergone extensive training, often showing excellent performance and adaptability, making them effective in addressing agricultural issues where data is limited. Integrating big models in agriculture promises to pave the way for a more comprehensive form of agricultural intelligence, capable of processing diverse inputs, making informed decisions, and potentially overseeing entire farming systems autonomously. [Progress] The fundamental concepts and core technologies of big models are initially elaborated from five aspects: the generation and core principles of the Transformer architecture, scaling laws of extending big models, large-scale self-supervised learning, the general capabilities and adaptions of big models, and the emerging capabilities of big models. Subsequently, the possible application scenarios of the big model in the agricultural field are analyzed in detail, the development status of big models is described based on three types of the models: Large language models (LLMs), large vision models (LVMs), and large multi-modal models (LMMs). The progress of applying big models in agriculture is discussed, and the achievements are presented. [Conclusions and Prospects] The challenges and key tasks of applying big models technology in agriculture are analyzed. Firstly, the current datasets used for agricultural big models are somewhat limited, and the process of constructing these datasets can be both expensive and potentially problematic in terms of copyright issues. There is a call for creating more extensive, more openly accessible datasets to facilitate future advancements. Secondly, the complexity of big models, due to their extensive parameter counts, poses significant challenges in terms of training and deployment. However, there is optimism that future methodological improvements will streamline these processes by optimizing memory and computational efficiency, thereby enhancing the performance of big models in agriculture. Thirdly, these advanced models demonstrate strong proficiency in analyzing image and text data, suggesting potential future applications in integrating real-time data from IoT devices and the Internet to make informed decisions, manage multi-modal data, and potentially operate machinery within autonomous agricultural systems. Finally, the dissemination and implementation of these big models in the public agricultural sphere are deemed crucial. The public availability of these models is expected to refine their capabilities through user feedback and alleviate the workload on humans by providing sophisticated and accurate agricultural advice, which could revolutionize agricultural practices.

随着气候变化的加剧，高温干旱事件频发，对植被健康生长造成了严重影响。针对相关性方法难以准确刻画复合干热胁迫下植被脆弱性的问题，利用1982—2015年去趋势和标准化的归一化植被指数（detrended and standardized normalizeddifferencevegetationindex, SNDVI）、标准化降水蒸散发指数（standardizedprecipitationandevapotranspiration index,SPEI）和标准化气温指数（standardized temperature index,STI），构建基于Vine Copula的复合干热胁迫下植被脆弱性评估模型，量化黄土高原不同土地利用类型和气候区植被对高温干旱的响应关系。结果表明：1）黄土高原大部分区域SNDVI与SPEI呈正相关关系，与STI呈负相关关系，草地SNDVI与SPEI、STI的相关性最高，其次为耕地，林地最低；2）相对于单一干旱或高温事件，复合干热事件进一步加剧了植被脆弱性，复合干热胁迫下黄土高原6、7、8月植被损失概率分别为0.51、0.57和0.55，较高的区域集中在陕西北部、宁夏、甘肃东部和内蒙古等地区；3）黄土高原地区不同植被类型对复合干热的脆弱性各异，脆弱性从大到小依次为草地、耕地、灌木、林地。研究结果有助于深入了解植被对气候极端事件的响应，支持应对气候变化的陆地生态系统风险管理。

To explore the mechanism of tobacco male sterility and search for the key causes, this paper concludes the present research status of male sterility in tobacco based on phenotype, cytology, physiology & biochemistry, molecular mechanism and so on. Firstly, we summarized that the distinguish characteristics of tobacco sterile lines and their maintainer lines in tapetum and flower organs. Secondly, we analyzed that the effects of free proline, active oxygen, enzyme and endogenous hormones on the tobacco fertility. Finally, we described in detail that the research and analysis of the association of nuclear genes, mitochondrial genes and chloroplast genes with tobacco fertility. Furthermore, it is presented that the follow-up studies combined with the high-throughput data effectively will be benefit for the systematical research of male sterility on tobacco.

‘Yongyou 988’ is a new maize variety bred by Hebi Academy of Agricultural Sciences with T1932 from European flint line as the female parent and ‘Xun 856’ as the male parent, and it was approved by the nation for Huang-Huai-Hai summer maize region in 2021. In this study, the breeding process, parent source and characteristics, yield performance, stress resistance, disease resistance and quality analysis of the variety were analyzed. The study proposed that in variety breeding, we should highlight the exploration and utilization of excellent germplasm resources, strengthen adversity selection and improve ecological adaptability of the varieties, so as to breed a new maize variety with high yield and quality, wide adaptability, density tolerance and strong stress resistance.

Phosphorus in soil directly determines plant growth and crop yields, but phosphorus existing forms in soil are very complex, and those phosphorus forms that can be absorbed and utilized by plants account for only a small part of total phosphorus. Therefore, it is important to study the existing forms and classification methods of phosphorus in soil to improve the phosphorus use efficiency of crops, explore ways to enhance phosphorus availability, and reduce phosphorus loss. In this paper, the existing forms of phosphorus in soil, influencing factors of soil phosphorus availability and phosphorus classification methods were reviewed. The results show that the forms of phosphorus in soil consist of two major categories: inorganic phosphorus and organophosphorus, phosphorus absorbed by plants is mainly water soluble inorganic phosphorus, and other forms of phosphorus are difficult to be absorbed by plants, causing low utilization efficiency of phosphorus in soil. There are many factors that lead to low phosphorus use efficiency, mainly ions like calcium, iron and aluminum, and organic matter, pH, temperature, moisture etc. To study and improve the mechanism of the influencing factors could effectively enhance phosphorus utilization efficiency. At the same time, with the continuous improvement of phosphorus classification methods by domestic and foreign scholars, the effective forms of phosphorus have been studied more in-depth and accurately. Bowman-Cole organophosphorus classification method and Hedley’s phosphorus classification method are the two most widely used methods at present.

Agricultural information technology is formed as the result of integrating information technology and agricultural science, and has further facilitated the rapid development of digital agriculture (DA) and smart agriculture (SA). As one of the core technologies of DA and SA, crop growth model can dynamically simulate crop growth and development processes and their relationships with climate condition, soil characteristics and management strategy, so as to overcome the limitation of the spatial-temporal characteristics of traditional research on agricultural production management. It can provide powerful quantitative tools for crop productivity prediction and early warning and impact evaluation under different conditions. Through over 20-years systematic and profound exploration and practicing in wheat and rice crops, and based on the workflow of “physiological mechanism analysis-model algorithm development-dynamic productivity prediction-quantitative effect assessment-simulation platform development”, our research team has been devoted to the development and application of crop simulation model CropGrow, by integrating the technologies of system analysis, dynamic modeling, virtual reality, scenario simulation, and decision support. Firstly, based on the system analysis method and dynamic modeling technology, the comprehensive and mechanistic crop growth model CropGrow has been developed, including the submodels of phasic development and phenology, organ development and population establishment, photosynthetic production and biomass accumulation, assimilate partitioning and yield/quality formation, nutrient dynamics, and water balance, along with three-dimensional morphological and visual submodels, which could digitalize and visualize the processes of crop growth and productivity formation under different conditions. Further, by coupling geographic information system (GIS) and remote sensing (RS), the model-based regional crop productivity prediction technology has been established. Then, based on the scenario analysis, the contributions of climate change, soil improvement, variety updating, and strategy optimization to regional crop production have been quantified, and applications extended to generation of suitable management plan, design of ideal cultivar, assessment of climate impact, evaluation of land use and decision-making of agricultural policy. Finally, based on the component-based programming technology, a model-based digital and visual crop growth simulation system and decision support platform has been developed by integrating the crop production database and crop model components, further realizing the comprehensive functions of data management, parameter optimization, growth simulation, remote sensing coupling, regional prediction, management strategy design, effect evaluation, safety early warning and product release. In the future, based on the improvement of agro-information database, additional efforts in crop modeling will be made toward enhancing prediction ability, quantifying gene effects, developing intelligent decision-making, and coupling multiple models, which will provide digital support for the prediction and early warning of food production, quantitative evaluation of scenario effects, decision-making on management strategy, and optimal design of new crop cultivars, thus facilitating the security of national food and development of digital agriculture.

Low temperature is an abiotic stress that could affect plant growth and vegetation distribution. Once the environmental temperature is continuously lower than the optimal temperature for plant growth, the plant would suffer low temperature stress, including chilling injury and freezing injury. Chilling injury refers to the damage on plant caused by low temperature of zero degree or above. The cells do not freeze at this temperature, but the cold will have physiological obstacles for thermophilic plants, causing injury or death. Freezing damage refers to the phenomenon that plants are damaged or die because of the low temperature below the freezing point. Previous studies mainly focused on the regulation mechanism of low temperature stress on plants, including the process in plants from the perception of low temperature signal to the expression of functional genes, and to the resistance to low temperature stress. This article reviews the research on cold stress on plants in recent years, analyzes the research status from the aspects of signal perception, signal transduction, functional gene expression, cold-induced physiological and cellular regulatory mechanism, and discusses the prospect of the research on plant cold resistance. It will provide a theoretical basis for cultivating new cold-resistant plant germplasms.

Improving the rural habitat environment is one of the most important tasks in the implementation of the rural revitalization strategy. This paper mainly summarized the related research on the habitat environment improvement in China, including the rural habitat environment improvement and rural revitalization strategy, the rural habitat environment construction and beautiful rural construction, the key task of habitat environment improvement, the regional differences and existing problems of rural habitat environment, etc. This paper put forward the direction of future research, that is, to deepen the renovation practice research, to carry out theoretical research on the rural habitat environment improvement, to attach importance to village planning management, to improve construction and management mechanisms, and to study on effect, influencing factors and evaluation methods of the rural habitat environment improvement.

Agricultural and forestry waste is a valuable biomass resource. If the resource cannot be used efficiently, it will cause serious environmental pollution and even great harm to human health. Therefore, the resource utilization of agricultural and forestry wastes is the important content of controlling agricultural non-point source pollution, saving biomass resources, energy conservation and emission reduction, protecting the ecological environment, achieving the goal of peaking carbon emissions and carbon neutralization, and social and economic sustainable development. In order to promote the resource utilization of agricultural and forestry wastes, this paper summarized the progress achieved in this field at home and abroad in recent years.

Multiple cropping is one of important farming system in China, which plays an important role in improving the comprehensive production capacity of cultivated land in China and ensuring national food security. In order to maintain the national food security, to adapt and understand the spirit of the central document,in this paper, on the basis of overview of the multiple cropping, the author introduces development status of multiple cropping in detail, which includes the improvement of sequential cropping index, diversification of regional cropping patterns, high-efficiency of input-output and technological mechanical operations, etc., and summarizes the research progress of multiple cropping, which mainly reflects in response of multi cropping cultivation to climate change, water use efficiency, utilization of research methods and high-efficient cultivation technique, etc. In short, the development of multiple cropping is the necessary way to realize the sustainable development of agriculture in China and even the world.

The paper reviews the status quo of the agriculture remote sensing technology application in China, and explores its development trends and deficiencies, aiming to provide a reference frame for decision-making on agricultural policies of China. By reviewing and summarizing literatures and policies of the past and by comparing the experiences at home and abroad, the paper sums up the significance, application level, development trends of agriculture remote sensing technology application, and makes related proposals. Under the technical support of remote sensing (RS), geographic information system (GIS), global positioning system (GPS), China shows urgent demand on agriculture remote sensing technologies, which are widely applied in the country. Meanwhile, the country has made significant progress in agriculture remote sensing technology application, whose development is featured with fundamentality, integrity, and systematicness. Compared with the advanced level in the world, agriculture remote sensing technology application in China still lags behind, it is necessary to focus on basic studies, intensify the application universality of key technologies, reinforce macro-planning at national level, so as to further improve the application of agriculture remote sensing technologies and the agricultural digitization of China.

The harmless and reuse of agricultural waste not only turns waste biomass into treasure, but also reduces pollution to the ecological environment and improves the living environment, which is an effective way to achieve green, circular, low-carbon, efficient and sustainable development. In this article, we conducted bibliometric statistics of the relevant literature on agricultural waste resource utilization published in China and abroad from 1990 to 2022, and comprehensively analyzed the annual trend of the number of articles published in this field and the key words with the help of CiteSpace and VOSviewer bibliometric tools. Domestic research in this area started nearly 10 years earlier than overseas, the research intensity and importance of international research in this field since 2002 have been significantly higher than that of domestic research, the growth trend of the number of annual publications is also significantly higher than that of domestic research, and the gap between the number of publications at home and abroad is also widening year by year. The research hotspots in the field are not exactly the same at home and abroad. We focus more on the use of waste for the production of organic fertilizers to realize the recycling of green and low-carbon agriculture in China; the foreign countries focus more on biomass materialization and energy utilization of waste to compensate for the consumption of non-renewable resources. Based on China's basic condition of having more people and less land, China should strive to broaden the disposal methods of agricultural waste by classifying and disposing of agricultural waste raw materials and subsequently using them for substrate, feed, fertilizer, materialization and energy. And waste gas, heat and residue should be recycled in order to realize the multi-level utilization of harmless, reduced and diversified biomass resources. The results of the study provide a reference for the development of the field of agricultural waste resource utilization in China.

This paper analyzed the food security issue under the assumption of reduction of cultivated land based on China agricultural general equilibrium model (CGE). The results show that reduction of cultivated grain land could result in the fluctuation of price index of CPI, price index of GDP, price index of investment and price index of export, bring the result of investment, capital and real GDP reduction, directly effect employment, real wages, nominal wages, household disposable income, make household consumption and government consumption reduction. RMB appreciation, tariff revenue reduction, net exports contribution to GDP decreased, national macroeconomic situation deteriorated. Therefore, the red line of 1.2 billion hm2 of cultivated land must be kept to ensure national food security.

As the byproduct of agricultural production, crop straw is an important renewable resource. Previous studies have shown that the main component of crop straw is lignocellulose. Some microorganisms such as bacteria and fungi can produce certain enzymes that are capable to degrade lignocellulose. The present study summarized the types and degradation mechanisms of lignocellulose-degrading enzymes, and reviewed the reported microbial species which could degrade rice, wheat and corn straw. In addition, this study analyzed the shortcomings of the identified single microorganism strain and microbial complex for commercial application, and discussed the perspectives and directions of future research. The review will provide reference for screening novel high-quality lignocellulose degradation microorganisms and developing cellulose-degrading microorganisms for resource utilization of crop straw.

The study of seasonal frozen soil change in Shanxi Province has important application value for revealing the response of seasonal frozen soil thawing to climate change and the direct impact of land degradation caused by frozen soil change on agricultural production, irrigation and water conservancy infrastructure and road construction in the Loess Plateau under the background of climate warming. Based on the frozen soil data from meteorological observation records at 108 stations in Shanxi Province from 1981 to 2018, this paper analyzed the spatiotemporal variation characteristics of the ground freezing date, thawing date, the number of frozen days and annual maximum depth of frozen soil, and the interannual and interdecadal variation characteristics of the annual maximum frozen soil depth, and the responses of the above factors to climate warming. Results showed that soil freezing in northern Shanxi began in September, and the frozen soil subsided in May at the latest. The depth and area of frozen soil reached the maximum at the end of winter and the beginning of spring. The date of ground freezing was postponed and the date of ground thawing was earlier, and the number of frozen days was reduced accordingly to various degrees in most parts of the province from 1981 to 2018. The annual maximum depth of frozen soil gradually decreased from north to south. The annual maximum depth of frozen soil decreased in the middle and southern parts of the province, and increased in the northern part, which might be related to the warming and wetting of winter climate in north Shanxi. Under climate warming, winter precipitation and 0 cm ground temperature had complex response relationship with the annual maximum depth of frozen soil. The annual maximum depth of frozen soil was negatively correlated with 0 cm ground temperature under the background of excessive winter precipitation. The decreasing trend of the maximum frozen soil depth was a direct response to the increase of the annual average temperature, and the response of the maximum frozen soil depth to the annual average temperature was more significant than that to the annual precipitation.

In order to further study the role of endotransglucosylase/hydrolases (XTHs) in the regulation of plant growth and development, this review summarized the structures and mechanism of XTH, the functions of XTH in plant leaves, roots, stems, flowers and fruits, and the XTH expression in response to plant hormone and environmental factors. Meanwhile, the authors recognized XTH as a key enzyme in cell wall remodeling, which could loosen and strengthen cell wall, and participated in cell wall degradation and synthesis. At last, several potential problems in XTH gene research field were put forward, and the future research directions were suggested.

To elaborate the mechanism of anthocyanin biosynthesis in plants and understand the various factors affecting anthocyanin synthesis as well as their interaction, we summarize the internal and external regulatory factors and concluded the environmental factors such as light, temperature, carbohydrate and hormone. Around the anthocyanin biosynthesis pathway, the structural genes in the pathway and its upstream transcription factors are described and analyzed. This study concludes that in plants, all kinds of external and internal factors regulate structural genes through the main transcription factors, affect the biosynthesis and accumulation of anthocyanins in plants, and maintain the dynamic balance of anthocyanins in plants. This regulation includes both positive and negative regulation. In summary, metabolic pathway of anthocyanins is gradually improved, at the same time, novel structural genes and transcription factors will be evaluated and used in genetic engineering improving the characteristics of ornamental plants.

With the increase of global temperature, heat stress has emerged as one of the major factors affecting plant growth and development. The substantial losses caused by heat, particularly for staple crops like rice, pose a significant impact on economic benefits. In order to unravel the molecular mechanisms underlying plant response to heat stress, the adverse effects of heat stress on the morphology, physiology, biochemistry and photosynthesis have been presented. Furthermore, the three molecular mechanisms employed by plants to cope with heat stress, including signal transduction pathways, transcriptional factor regulatory networks and the expression of heat-resistance related genes have been introduced as well. Based on these insights, this review suggests that bioinformatics, genetic engineering, cell biology and molecular biology may be further employed as tools for understanding the molecular mechanisms of heat stress in plants. At last, this review offers a prospective outlook on future research directions in this field.

Under the background of cultivated land resource shortage and an increasing contradiction between human and land in east China, it is urgent to increase cultivated land to ensure a ‘balance of occupation and compensation’. Coastal saline-alkali land, as a potential land reserve resource, has strategic and practical significance by its rational development and utilization to alleviate the pressure of land resource shortage, improve agricultural water resource utilization efficiency and ecosystem stability. This paper introduced the current situation and main characteristics of coastal saline-alkali land resources, and summarized the recent research progress and existing problems of coastal saline-alkali land improvement and utilization from the physical, chemical, hydraulic engineering and biological aspects, and put forward the research prospect of coastal saline-alkali land in the future from biophysical process, obstacle reduction, soil fertility improvement and nutrient expansion, development and application of new materials, soil carbon sequestration, and comprehensive management and remediation, aiming to provide new ideas, new technologies and theoretical support for coastal saline-alkali soil improvement under the background of ecological civilization in the new era.

【Objective】Long non-coding RNAs(lncRNAs) are a group of RNA molecules longer than 200 bp with no protein coding capacity, which are involved in various biological regulatory processes. In this study, we aim to analyze the RNA-sequencing data of two Gossypium arboreum isogenic lines, a fuzzless mutant (GA0149) and its wildtype (GA0146), to identify the lncRNA involved in early fuzz fiber development, providing a foundation for investigation the mechanism of fiber development. 【Method】We collected 0 DPA, 3 DPA and 5 DPA ovule and 8 DPA ovule and fiber from the G. arboreum fuzzless mutant GA0149 and its isogenic line GA0146 with normal fuzz and lint fibers, were used for RNA-seq to identify lncRNA and predict their target genes. Differentially expressed mRNA (DE-mRNA) and lncRNA(DE-lncRNAs) between the samples were identified. The KOBAS software was used to predict the KEGG enrichment pathways which DE-lncRNAs targets were involved in. To ensure the quality of high-through sequencing, 25 DE-lncRNAs were selected for RT-qPCR detection. 【Result】We identified 15 339 lncRNA-encoding transcripts that 11 595 lncRNAs were located to intergenic regions, 2 428 lncRNAs were classified as antisense lncRNAs, 350 were categorized as intronic lncRNAs and 966 belonged to sense lncRNAs. Compared to mRNAs, lncRNAs in Asian cotton showed shorter exons and lower GC content. Most of lncRNAs had cis-regulatory effects on their neighboring mRNAs. We identified 1 932 differentially expressed (DE) lncRNAs, with 8 134 predicted DE-lncRNA target genes. Further analysis showed that 788 genes (mRNA) were differentially expressed (DE-genes) during four fiber development stages. KEGG enrichment pathways analysis showed that DE-target-mRNAs were mainly enriched in plant hormone signal transduction and protein processing in endoplasmic reticulum. Co-expression network analysis revealed that lncRNA (MSTRG.454250.3) and its associated target genes showed identical expression trends during four fuzz fiber development stages, while lncRNAs (MSTRG.454261.4) and its associated target genes showed contrary expression tendency, exhibiting dramatic higher expression in fuzzless GA0149 compared to wildtype GA0146. The results of RT-qPCR analysis confirmed the authenticity of our RNA-seq data.【Conclusion】A total of 26 specifically expressed lncRNAs were identified which related to cotton fuzz fiber development process. We further confirmed that these lncRNAs affected the fuzz fiber development by regulating the expression of indole-3-acetic acid-amido synthetase (Ga03G2421) and Auxin-responsive protein (Ga05G1344) in the plant hormone signal transduction pathway.

Genotyping technology, via molecular markers, has been playing a key role in many biological fields including genetic improvement. Genotyping has been widely applied in multi-national seed companies due to their high-throughput, automatic, large-scale and shared genotyping platforms. Genotyping has moved from its third generation (G3), dominated by expensive DNA chips and random genotyping by sequencing (GBS), to the fourth generation (G4), characterized by low-cost, less facility-demanding and performed via genotyping by target sequencing (GBTS). In this article, we first introduced two GBTS protocols, GenoPlexs, based on multiplexing PCR, and GenoBaits, based on sequence capture in-solution (also called liquid chip). For both protocols, multiple single-nucleotide-polymorphisms (mSNP) or multiple dispersed nucleotide polymorphisms (MNP) can be generated to reveal the genetic variation hidden within each amplified locus (amplicon). Compared to DNA chips and GBS, GBTS has several advantages, including wide applicability to genotyping facilities, very flexible marker types, highly efficient genotyping, sharable and accumulative marker data, less required information management and support, and wide suitability in biological applications. With the same marker panel (for example, 40K maize mSNPs), three types of genotyping (40K mSNPs, 260K SNPs, and 754K haplotypes) can be achieved, and multiple panels with various marker densities (1K to 40K mSNPs) can be generated by sequencing at different depths. Applications of GenoPlexs and GenoBaits in biology were then reviewed, including biological evolution, germplasm evaluation, genetic map construction, gene mapping and cloning, marker-trait association (genome-wide association study and bulked sample analysis, BSA), progeny testing, gene introgression, gene pyramiding, variety right protection, variety quality monitoring, transgenic event and gene editing detection, and bioassay. More 50 marker panels have been developed so far for more than 20 plant, animal and microorganism species and applied in some of the fields described above. Lastly, we prospected for future GBTS by looking insights into carry-on, automatic, high-throughput and intelligent genotyping platforms, multi-functional marker panels with various marker densities designed to meet specific requirements, integration with other technologies such as KASP, high-density DNA chips and BSA strategies, and open-source breeding by sharing germplasm and breeding materials and information. The development in these fields will greatly facilitate the applications of GBTS in genetic improvement and other fields of animals, plants and microorganisms.

The substitution of chemical fertilizers by organic fertilizers is an effective strategy to reduce the amount and increase the efficiency of chemical fertilizer. It also significantly stimulates crop yield and soil fertility. However, it is worth noting that the substitution of chemical fertilizers by organic fertilizers could contribute to greenhouse gas emissions and pollution loading in soil environment. This paper reviewed the effects of organic fertilizer application on crop quality, soil amelioration, greenhouse gas emissions and agricultural non-point source pollution. Besides, we summarized current research of organic fertilizer application and put forward proposals for further studying the organic fertilizer application. Firstly, constantly optimizing the fermentation process to improve the quality of organic fertilizer is of overarching importance. Secondly, it is suggested to strengthen the quality trait evaluation in assessing the application effect of organic fertilizer, and take full advantage of long-term positioning observation and modern monitoring means to improve the soil fertility monitoring level and accomplish the comprehensive environmental effect evaluation. These suggestions aim at providing guidance for rational and efficient application of organic fertilizers, and for sustainable utilization of soil and water resources.

The aim was to establish a method for the determination of twelve flavonoid components in Scutellaria baicalensis. The HPLC method was performed on an Agilent ZORBAX SB-C18 column (4.6 mm×150 mm, 5μm) with a detection wavelength of 280 nm and a mobile phase of acetonitrile-0.1% phosphoric acid aqueous solution at a flow rate of 1.0 mL/min and a sample volume of 10 μL. The established extraction and chromatographic conditions were used for the qualitative and quantitative analysis of Scutellaria baicalensis. The linearity of the twelve flavonoids in Scutellaria baicalensis was good in the mass concentration range (r>0.98), and the average spiked recoveries of scutellarin, apigenin-7-O-β-D-glucopyranoside, carthamidin, baicalin, luteolin, chrysin-7-O-glucuronide, wogonoside, apigenin, baicalein, wogonin，chrysin and oroxylin A were 99.7214%, 92.7039%, 103.9755%, 100.5837%, 92.4819%, 93.2465%, 99.6387%, 104.3866%, 95.0767%, 95.3245%, 92.2161%, 95.3995% (RSD<5). A method for the determination of twelve flavonoid components in Scutellaria baicalensis was established, which was easy to operate, reproducible and accurate.

The alien invasion is a far-reaching global issue, which has a major impact on the ecosystem, environment, health, society and economic development of countries. Especially in recent years, with the acceleration of global warming and global trade liberalization, the species and amounts of invasive alien species have shown a rapid growth trend, leading to an increasingly serious threat. Without effective prevention and countermeasures, the alien invasion may lead to “bioterrorism”. This paper takes Spodoptera frugiperda which is a major pest invading China in a large scale in FAO global warnings in January 2019, as an example, analyzes the impact of invading organisms on China’s economy, ecology and society, and illustrates the possible invasion pathways of alien organisms, and dissects the challenges of prevention countermeasures of alien biological invasion in China in the current era, and also proposes a series of comprehensive prevention and control measures according to the invasion characteristics and impacts of invading organisms, including improving the management mechanism of “unified supervision, division of labor and responsibility”, accelerating the legislation of invasive alien species, completing the well-structured and scientific management system, establishing the law and monitoring system, strengthening the basic research of invasive alien species and the establishment of prevention and control networks, and deepening the science popularization and education.

In order to study the genetic basis and genetic relationship of current rice varieties in Heilongjiang Province, 47 pairs of SSR markers published in the agricultural industry standard Protocol for the Identification of Rice Varieties SSR Marker Method (NY/T 1433—2014) were used to analyze the genetic diversity among 231 rice varieties from different accumulated temperature regions in Heilongjiang Province. The results showed that a total of 136 alleles were detected form the 47 pairs of SSR markers, alleles per locus ranged from 2 to 5, the average was 2.92. Genetic diversity ranged from 0.11 to 0.79, with an average of 0.56. The polymorphic information content (PIC) was 0.11-0.76, with an average of 0.49. The value of marker index (MI) ranged from 3.18 to 18.39, with an average of 6.52. Cluster analysis divided the 231 rice varieties into 3 categories and 7 groups, and the clustering results were consistent with the results of principal component analysis. Taken together, the genetic diversity of rice varieties in Heilongjiang Province is not rich enough (the average polymorphic information content index is 0.49), and the genetic relationship among the varieties in the same accumulated temperature area is relatively close. In variety breeding, attention should be paid to the hybridization of northern and southern varieties, in order to broaden the genetic background and cultivate new environment-friendly varieties with high-quality and high-yield.

【Objective】 The objectives of the present study were to synthesize the current information on soil quality assessment method and indicator system, and to present the hot topics and frontiers related to soil quality, so as to, provide references for Chinese scholars and experts in the field of soil quality evaluation research and application. 【Method】 The published articles regarding the selection of soil quality indicators, construction of minimum data set, and selection of soil quality evaluation methods were collected based on Web of Science and CNKI databases using bibliometrics method, and a total of 415 articles and 155 minimum data sets related to soil quality evaluation were screened. Development trend, frontier fields and current problems of global soil quality assessment during the past 30 years were analyzed according to selection frequency of indicators, assessment method and construction of minimum data set. 【Result】 The soil quality evaluation indicator system mainly included 25 physical, 36 chemical, 35 biological and 19 environmental indicators. Soil organic matter, as the core indicator of soil quality, was selected with the highest frequency of 96.6%, followed by pH, total nitrogen, available phosphorus, available potassium, and bulk density, with a frequency more than 50%. The selection frequency of biological indicators such as microbial biomass and soil enzyme activity was less than 25%, while increasing over time. Principal component analysis, minimizing indicator redundancy and reflecting most of the information of original variables, was the most widely used for minimum data set construction method. Soil organic matter, available phosphorus, bulk density, and pH were selected into the minimum data set with a frequency of 67.7%, 43.2%, 34.8%, and 34.2%, respectively, being widely used to characterize soil quality. Nowadays, the most studies on soil quality evaluation focus on the utilization of principal component analysis to select soil quality indicators and establish soil quality index for comprehensive soil quality evaluation, which was suitable for sustainable soil management.【Conclusion】 Soil organic matter, available phosphorus, soil pH, bulk density and soil water content were the main parameters selected for soil quality evaluation. Construction a comprehensive and objective soil quality indicator system and the integration with the information technology would be the focus in future research. The application of evaluation indicators in large-scale soil quality assessment was the trend of future development.

Biogas slurry is formed by fermentation of organic substances. Because of its large quantity and inconvenient treatment, it has become one of the sources of environmental pressure. The utilization of biogas slurry in rice production not only alleviates the pressure on environmental protection, but also improves rice yield and soil quality. It is an effective way for the resource utilization of biogas slurry. Biogas slurry is rich in nutrient elements and microbial secretions, which can provide all kinds of vitamins, auxin and amino acids required by rice. Biogas slurry has the functions of promoting rice growth and controlling rice diseases and insect pests. In seed soaking and fertilization, the use of biogas slurry instead of chemical agents can improve the drug effect and reduce the pollution level, but the application rate varies according to the composition of biogas slurry in different places. By summarizing and analyzing the rational utilization of biogas slurry resources, it is found that biogas slurry can not only improve rice yield and economic benefits, but also reduce chemical pollution, improve soil quality and drive the sustainable development of agriculture, which is of great significance to build the balance of agricultural ecological cycle.

In order to screen out maize inbred lines with excellent combining ability from 80 declassified inbred lines of the United States, analyze their utilization potential and provide the basis for rational utilization, we used PH6WC and PH4CV as test varieties to explore the combining ability and comparative advantages of the 80 maize inbred lines by NCII genetic design. The results showed that the genetic basis of the 80 American inbred lines was rich and there were real differences. The materials could be divided into 33 female parent groups and 47 male parent groups. Among the 80 test materials, LH206, PHN66, NL001, 2FACC, 6M502A, 29MIBZ2, 1538, LH128, LH181, Lp215D, PHR30, LH214 and LH213 had excellent GCA effect value for yield. The TCA effect values of PH6WC×6M502A, PHW51×PH4CV, NL001×PH4CV and LH128×PH4CV in the cross combination were excellent, and their comparative advantages were relatively strong, so further test could be carried out. The NL001, 2FACC, 29MIBZ2 and 1538 were suitable for mechanized harvesting, and the GCA showed excellent performance. Also, 6M502A, NL001 and LH128 had relatively high general combining ability, and they could be used as key inbred lines.

Genome-wide association study (GWAS) is an effective method to locate genomic loci that are significantly associated with traits. With the accumulated phenotypic data, the continuous development of high-throughput genotyping technology, and the improved statistical methods, it promotes the wide application of GWAS in area of human disease and animal and plant genetics. False positives are one of the important concerns that impair the reliability of genome-wide association results. To control the false positives, in addition to correcting the P-values, GWAS models have been continuously improved from the naive methods like ANOVA (for quantitative trait) or Chi-square test (for quality trait), to general linear model (GLM), which incorporates fixed-effect covariates, to the mixed linear model (MLM), which incorporates random effects. Fitting individual genetic effects into random effects defined by the genomic relationships matrix (GRM) is commonly adapted currently. Since the parameter estimation of MLM consumes a lot of computational resources, researchers have tried to optimize solving models and constructing GRM (which also improves computing efficiency), and the time complexity gradually decreased from O(MN³) to O(MN) for MLM-based methods, achieving a great leap in computational speed and statistical efficacy. For inflations caused by unbalanced case-control data, researchers further correct the generalized mixed linear model (GLMM). This paper comprehensively introduces the basic principles and development of GWAS, with specific emphasis on the model improvement and optimization details. We also list the applications of MLM in GWAS in agriculture, including progress on animals, plants and microbes, as well as the application of haplotype in GWAS. Finally, we give prospects on the future developments of GWAS from the viewpoints of further model optimization and experimental design.

Iron (Fe) is the earliest discovered and most abundant essential microelement in plants, which is involved in many physiological processes and metabolic pathways, Fe deficiency will seriously affect the growth, development, yield and quality of plants. Fe in plant-derived food is the main source for animal and human to obtain Fe, and insufficient Fe uptake can damage their health. In order to fully understand the metabolic physiology of Fe in plants, and promote the cultivation of iron-rich plants and the development of iron-rich food, in this review, the contents, forms and proportions of Fe in soil and plants were summarized, the distribution and function of Fe in plants were concluded, the different efficient absorption strategies of plants in small amount of soluble Fe environment were compared, and the regulation mechanisms of Fe transport in cells and long-distance in plants were analyzed. Based on the above, some research prospects were discussed in view of the previous research, it is suggested that more attention should be paid to the differences and molecular mechanisms of Fe metabolic pathways among different plant species, the Nramp family genes regulating approach of the docytotic mechanism of Fe deficiency in plants, the oxidation precipitation and reduction release mechanisms of ferritin (Fer) in the plastids, and the biofortification measures for increasing Fe content and bioavailability in plants.

This study aims at investigating the impact of different extraction methods on the properties of dissolved organic matter (DOM) derived from biochar. Biochar was used as material, DOM was extracted with various extracting agents and extraction patterns, and the carbon content and chemical composition of the extracts were analyzed. The results showed that the DOC content of alkali extract in low-temperature biochar was relatively high (15.6-40.0 g/kg), so was the DOC content of salt extract in high-temperature biochar (0.27-7.04 g/kg). The chemical composition of DOM in the acid extract remained relatively simple, showing that SUVA₂₅₄ and SUVA₂₈₀ were low. A higher proportion of hydrophilic DOM was found in the acid extract from cornstalk-derived biochar (44.6%-73.6%) compared with that in the water and alkali extracts (11.0%-53.2% and 0.30%-31.4%), respectively (P<0.05). Correspondingly, the chemical composition of DOM in the alkali extract was relatively complex, showing that SUVA₂₅₄ and SUVA₂₈₀ were high. A higher proportion of hydrophobic DOM was found in the alkali extract from cornstalk-derived biochar (68.6%-99.7%) compared with that in the acid and salt extracts (26.4%-55.4% and 0%-46.9%), respectively (P<0.05). The study indicates that extracting agents have certain significance in biochar DOM extraction, while extraction patterns exhibit a minor effect on the properties of biochar DOM. It could provide reference for selecting biochar DOM extraction method.

Waterlogging stress is an important factor that affects the distribution, growth and development of plants. The research on plant waterlogging tolerance is critical to improving plant tolerance in order to cope with the increasingly severe extreme weather and the large-scale production management. In order to carry out researches on plant waterlogging tolerance and explore the regulation mechanism of different plants in response to waterlogging stress, we summarized the effects of waterlogging stress on plant growth, the regulation mechanism of plant in response to waterlogging stress, and analyzed the effects of waterlogging stress on plant phenotypic traits, biomass, photosynthesis, reactive oxygen species accumulation, sugar content as well as biological membrane in detail. In addition, the regulation mechanism of ethylene signal molecule, reactive oxygen species scavenging mechanism, osmotic regulation, morphological regulation, molecular and metabolic regulation of plant in response to waterlogging stress were also analyzed. Finally, it is proposed that further in-depth study should be focus on the development of exogenous regulatory substances to improve plant waterlogging tolerance.

The purpose of this study is to analyze the adaptability of a new rice variety ‘Yulong 7’ in the cold region, in order to provide reference for the adaptive breeding of rice varieties in the cold region. The rice variety ‘Yulong 7’ was used as material. The growth days, accumulated temperature and yield of hectare were investigated and analyzed in Heilongjiang Province, the Inner Mongolia Autonomous Region and Hubei Province. The results show that ‘Yulong 7’ could achieve not only good production in the first accumulative temperate zone of Heilongjiang Province, but also good introduction and identification results in the lower accumulative temperate zone of Heilongjiang Province, the Inner Mongolia Autonomous Region and Hubei Province, and it could be used in production in a certain range of area. Further analysis show that the strong adaptability of ‘Yulong 7’ comes from its rich genetic basis, as well as more suitable selection and identification methods. The adaptability of ‘Yulong 7’ reveals that only using the main cultivar suitable for local ecological conditions as the core germplasm and adding new gene sources can improve the adaptability and expand the suitable area of rice varieties.

Global agriculture is facing severe challenges, and breeding technology is the foundation and key to the development of the seed industry. Gene editing technology refers to the precise modification of target genes to achieve deletion, insertion, and replacement of specific target gene fragments. It can precisely modify target genes or introduce certain excellent genes into crops to produce crops with excellent agronomic traits, which has great potential in molecular design breeding and is of great significance to ensuring food security. Weed damage has a huge impact on the yield and quality of crops. To control weed damage efficiently, safely and sustainably has always been a hot research topic. Currently, more than 200 types of chemical herbicides have emerged in the global market. Using chemical methods to control weeds has become an important part of modern agriculture, and the cost of weed control has been significantly reduced by promoting herbicide-resistant crops. However, with the large-scale promotion of herbicide-resistant crops and the long-term use of single herbicides, environmental safety problems such as weed resistance and escape of resistant genes have gradually been discovered. Currently, the development of functional genomics, bioinformatics and genetic engineering technology (especially the widespread application of gene editing technology in plants) has created conditions for the creation of herbicide-resistant crops and new efficient weed control systems. In this article, the main target genes of herbicides that inhibit amino acid biosynthesis, lipid metabolism, carotenoid, plastoquinone and tocopherol biosynthesis pathways and their action mechanisms are introduced at first. Secondly, two methods for mining new herbicide resistance genes and herbicide systems are introduced, including the directed mutation method of herbicide resistance genes within crops based on CRISPR/Cas system and the resistance gene guidance method based on the co-evolution theory of natural product and organisms in nature. Moreover, the research progress of three breeding methods for herbicide resistant crops was reviewed, including conventional breeding, transgenic breeding and CRISPR/Cas genome editing based breeding. Among them, the research progress of CIRSPR/Cas system, base editing technology, and prime editing system in cultivating herbicide resistant crops were highlighted. The main challenge faced by chemical control of weeds and herbicide resistant crops is resistant weeds and environmental safety issues, and gene escape, respectively. At present, the rapid development of genome editing technology provides new solutions and new opportunities for the development of herbicide resistant crops in the post genome era. Finally, the prospects for the future of herbicide-resistant crops were provided.

The causes, influencing factors and prevention and control technologies of foodstuff browning at home and abroad are summarized. According to different conditions, browning can be divided into enzymatic browning and non-enzymatic browning, while non-enzymatic browning can be further divided into Maillard reaction, caramelization, ascorbic acid oxidative decomposition and polyphenols oxidative dimerization. There are many factors affecting browning. The factors affecting enzymatic browning include substrate type and concentration, enzyme activity, oxygen, temperature and pH, etc. The factors affecting non-enzymatic browning vary with different reactions, among which temperature and pH are the most important factors. Based on the occurrence mechanism and influencing factors of browning, the prevention and control technologies of browning include physical and chemical prevention and control technologies and the combination of both. This paper points out current problems in fruit and vegetable storage and browning prevention and control technology development, such as high energy consumption, high cost and low safety. Moreover, it further suggests that the browning prevention and control technology should be mainly physical one, supplemented by necessary chemical technology treatment, and the focus should be on the excavation of new materials and new inhibitors.

In order to remove the inherent complex resistance structure of lignocellulose and achieve efficient utilization of lignocellulose, new lignocellulosic pretreatment technologies have been improved continuously. As green solvents, Deep Eutectic Solvents (DESs) have the advantages of low cost, simple preparation, thermal stability, and designability. They have great application potential in promoting the pretreatment of lignocellulose and enzymatic hydrolysis, and have received widespread attention. Based on the analysis and summary of the research status and achievements at home and abroad, the research progress of synthesis and properties of DESs, pretreatment mechanism, enzymatic hydrolysis, and bioethanol conversion were discussed. It was pointed out that different hydrogen bond donors and different pre-treatment conditions had a significant impact on the lignin removal rate and glucose yield. It was believed that pretreatment of lignocellulose with DESs could greatly improve the saccharification rate. Prospects for DESs pretreatment mechanism, recycling, and process parameter optimization were proposed.

Drought is one of the most important abiotic stresses affecting the growth and yield of crops. The risk of crops suffering from drought stress is increasing under climate change. In order to cope with drought, crops show a series of resistance mechanisms, including the changes of morphological characteristics, and physiological and biochemical characteristics (antioxidant enzyme, osmotic regulation substances, and endogenous hormone), which play an important role in improving the resistance of crops under drought conditions. This paper summarized the response mechanism of crops to drought stress and introduced the measures to improve the drought resistance ability of crops, including: (1) selecting drought-resistance cultivars to promote the absorption of deep soil water; (2) soil mulching, which could reduce soil evaporation and increase soil water content; (3) water-saving irrigation techniques, such as micro-sprinkler irrigation and drip irrigation, which could precisely control the irrigation application and increase irrigation frequency; in addition, partial root-zone irrigation could reduce luxurious transpiration and soil evaporation by regulating stomatal closure; (4) anti-transpirants, which could inhibit excessive transpiration of water by forming ultrathin transparent protective film on the surface of crop branches and leaves; (5) plant growth regulators, which could enhance crop drought resistance by regulating plant physiological metabolism; (6) nano-fertilizers, which could promote plant growth and development by changing physiological and biochemical reactions of crops and enhance drought resistance of crops; (7) biochar, which is beneficial to soil aeration and water retention, and could improve soil physical properties and soil water retention capacity. In order to provide a theoretical basis and technical reference for coping with drought stress, this paper systematically discussed the action mechanism, application prospect and existing problems of the above 7 measures.

Cadmium pollution not only affects plant growth, but also threats to human health, which has been the study hotspot of domestic and foreign. This paper reviewed the effect on Cadmium to plant growth, the mechanism of uptake, transport and resistance of plant to Cadmium. And some new ideas for future research directions are put forward.

Abiotic stress is one of the main factors causing global grain yield reduction. It is of great significance to study the function and response mechanisms of plant stress-related proteins to improve crop stress resistance. Pentatricopeptide repeat (PPR) proteins, belong to the largest family of nuclear coding proteins in higher plants and are named because they contain highly specific PPR motifs. Depending on motif type and arrangement, PPR proteins can be classified as P and PLS, and PLS proteins can be further classified as PLS, E, E+, DYW, and other subclasses based on their carboxyl-terminal domains. PPR proteins are widely distributed in terrestrial plants, mainly in chloroplasts and mitochondria, and a few in the nucleus. As sequence-specific RNA binding proteins, PPR proteins are involved in multiple aspects of plant RNA processing, including RNA editing, splicing, stabilization, and translation. PPR protein plays a variety of important roles in the whole life process of plants, but the mechanism of its action in plant stress resistance is not well understood. Based on the localization and function of PPR proteins related to abiotic stress reported, the mechanism of PPR proteins involved in regulation of abiotic stress, including post-transcriptional regulation and retrograde signaling, was reviewed and discussed in this paper. Post-transcriptional regulation is related to the role of PPR proteins in the modification of RNA after transcription. It is generally believed that PPR affects stress resistance in plants by regulating the expression of stress-related genes via binding RNA and by regulating the metabolism of organelle RNA. In terms of retrograde signaling, damage to PPR proteins can lead to impaired mitochondrial or chloroplast function, and then produce various retrograde signals (such as ROS), thereby regulating the expression of related genes and resisting adversity. However, since plastid signaling is affected by many environmental factors, some of which are still unclear, the mechanism of the PPR protein in retrograde signaling remains to be clarified. In addition, PPR proteins are pleiotropic and some have important effects on plant growth and reproduction while acting on stress resistance. Finally, this paper further analyzed the current research status of PPR protein as an RNA editing tool, discussed the remaining problems and research prospects of PPR protein in the direction of abiotic stress, and pointed out the key points and difficulties that need to be paid attention to in future research, to provide references for further research on PPR protein and crop abiotic stress resistance breeding.

Leguminosae, as important food and cash crops, have been widely valued. Rhizobia are gram-negative bacilli which are ubiquitous in soil, and can form symbiotic nitrogen fixation system with legume plants. Rhizobium can not only increase the yield of plants, but also have no effect on the surrounding ecological environment. The symbiotic system of Rhizobium and leguminous plants has the highest biological nitrogen fixation efficiency, accounting for more than 65% of the total biological nitrogen fixation. The in-depth study of the symbiotic nitrogen fixation system is beneficial to the sustainable development of China’s agriculture. In recent years, more and more scholars have been involved in the classification, identification and application of Rhizobium. In this paper, the classification, morphological level, physiological and biochemical level, cell components, nucleic acid molecular level identification and application of Rhizobium are reviewed, which could provide references for the practical application of Rhizobium.