Search Results (119)

Climate change and socio-economic transformation increasingly challenge the stability of China’s food supply. This study aims to optimize grain crop layouts by integrating natural suitability and nutritional supply within a unified analytical framework. Using the MaxEnt model incorporating bioclimatic, topographic, and soil variables, we simulated the natural suitability of major grain crops and compared it with actual planting patterns based on the SPAM dataset. Results revealed substantial spatial discrepancies between actual and suitable distributions, with national planting diversity index increasing by 26.42% (from 0.53 to 0.67) under suitable conditions. Wheat and maize are most suited to northern China, rice and tuber crops to southern regions, while soybean performs optimally in the northeast. Nutrient supply potential also improved substantially under the suitable scenario, with energy, protein, fat, and carbohydrate increasing by 56.9 × 10⁸ KJ, 77.2 × 10⁶ g, 23.3 × 10⁶ g, and 48.6 × 10⁶ g per million people, respectively. Among alternative structures, maize-soybean and maize-based planting structures better aligned with both natural adaptability and nutritional balance (e.g., in Inner Mongolia and Heilongjiang), whereas rice-based structure showed weaker correspondence (e.g., in Shanghai). These findings demonstrate that naturally adaptive optimization can enhance both environmental compatibility and nutritional adequacy, providing scientific guidance for developing climate-resilient and nutrition-oriented crop layout strategies in China. Full article

The three northeastern provinces of China are the country’s most important grain-producing region, particularly for maize, soybean, and rice, and form its largest commercial grain base. Over the past two decades, cropping structures in this region have undergone notable shifts driven by both climate change and human activities. Generating long-term, high-resolution maps of multi-crop distribution and evaluating their suitability is essential for understanding cropping dynamics, optimizing land use, and promoting sustainable agriculture. In this study, we integrated multi-source satellite imagery from Landsat and Sentinel-2 to map the distribution of rice, maize, and soybean from 2000 to 2023 using a Random Forest classifier. A crop suitability assessment framework was developed by combining a multi-criteria evaluation model with the MaxEnt model. Reliable training samples were derived by overlaying suitability evaluation results with stable crop growth areas, and environmental variables—including climate, topography, soil, hydrology, and anthropogenic factors—were incorporated into MaxEnt to assess suitability. Furthermore, the spatial consistency between actual cultivation and suitability was evaluated to identify areas of misallocated land use. The results show that: (1) the six classification maps achieved an average overall accuracy of 91.05% and a Kappa coefficient of 0.857; (2) the cultivation area of all three crops expanded, with maize showing the largest increase, followed by soybean and rice, and the dominant conversion being from soybean to maize; (3) suitability areas ranked as soybean (376,692 km²) > maize (329,056 km²) > rice (311,869 km²), with substantial spatial overlap, particularly between maize and soybean, suggesting strong competition; and (4) in 2023, highly suitable zones accounted for 57.39% of rice, 39.69% of maize, and 28.89% of soybean cultivation, indicating a closer alignment between actual distribution and suitability for rice, weaker for maize, and weakest for soybean, whose suitable zones were often displaced by rice and maize. These findings provide insights to guide farmers in optimizing crop allocation and offer a scientific basis for policymakers in designing cultivated land protection strategies in Northeast China. Full article

The nourishment of the human population depends on a handful of staple crops, such as maize, rice, wheat, soybeans, potatoes, tomatoes, and cassava. However, all crop plants are affected by at least one virus causing diseases that reduce yield, and in some parts of the world, this leads to food insecurity. Conventional management practices need to be improved to incorporate recent scientific and technological developments such as antiviral gene silencing, the use of double-stranded RNA (dsRNA) to activate an antiviral response, and nanobiotechnology. dsRNA with antiviral activity disrupt viral replication, limit infection, and its use represents a promising option for virus management. However, currently, the biggest limitation for viral diseases management is that dsRNA is unstable in the environment. This review is focused on the potential of nanoparticles and nanocarriers to deliver dsRNA, enhance stability, and activate antiviral gene silencing. Effective carriers include metal-based nanoparticles, including silver, zinc oxide, and copper oxide. The stability of dsRNA and the efficiency of gene-silencing activation are enhanced by nanocarriers, including layered double hydroxides, chitosan, and carbon nanotubes, which protect and transport dsRNA to plant cells. The integration of nanocarriers and gene silencing represents a sustainable, precise, and scalable option for the management of viral diseases in crops. It is essential to continue interdisciplinary research to optimize delivery systems and ensure biosafety in large-scale agricultural applications. Full article

Suboptimal land conditions, characterized by limited nutrient availability and poor soil physical properties, restrict the growth and productivity of maize–soybean intercropping systems. Bioameliorants containing beneficial microorganisms, such as mycorrhizae, offer a sustainable strategy to enhance soil fertility and nutrient uptake efficiency. This study evaluated the effects of different bioameliorant compositions on nitrogen availability, plant growth, and yield in maize–soybean intercropping on suboptimal land. A randomized complete block design with four replicates tested five treatments: F0 (control, no bioameliorant), F1 (10% compost + 10% rice husk charcoal + 10% manure + 70% mycorrhizal biofertilizer), F2 (15% each of compost, manure, charcoal + 55% biofertilizer), F3 (20% each + 40% biofertilizer), and F4 (25% each component). Results showed that the balanced F4 bioameliorant markedly improved nitrogen availability, soil health, and yields in maize–soybean intercropping on sandy soils. These findings highlight its potential as a sustainable strategy to enhance productivity, reduce reliance on chemical fertilizers, and strengthen agroecosystem resilience on suboptimal land. The optimized F4 formulation therefore represents a practical approach to improving nutrient availability and plant performance in maize–soybean intercropping systems under marginal soil conditions. Full article

Intercropping, especially legume-cereal systems, is a mixed farming approach that can improve agricultural resilience by addressing challenges such as soil degradation, biodiversity loss, and global change, all while promoting the sustainable production of protein-rich and nutritious food. However, its adoption in industrialized countries remains limited due to economic and technical challenges, as well as a fragmented understanding of soil–plant-microbe interactions, which hinders its complete optimization. This article provides an overview of the current situation and future perspectives on the importance of legume–cereal intercropping, with examples such as common bean–maize, soybean–maize, alfalfa–corn–rye, and legumes–pulses–little millet systems. These combinations highlight how intercropping can improve nutrient cycling, increase root growth, forage and grain yield, suppress soil-borne diseases, and promote soil microbial population and enzymatic activity. While it offers environmental benefits, practical challenges such as system design, management complexity, and cost-effectiveness must be addressed to encourage wider adoption. In preparing this review, we synthesized studies published between 2000 and 2025, with a particular emphasis on recent research from China and Southeast Asia. We also considered broader intercropping contexts, including energy crops, agroforestry systems, rice paddy co-cultures, and phytoremediation approaches. The review also highlights legume–cereal as a solution to sustainable soil management, ecosystem health, and the potential for increased nutritional food production in developed countries. Full article

Xyloglucan endotransglucosylases/hydrolases (XTHs) are key enzymes involved in cell wall remodeling that play roles in plant responses to environmental stress. Despite their importance, a comprehensive investigation of the XTH gene family in cassava (Manihot esculenta Crantz), a crucial drought-tolerant crop in tropical and subtropical regions, has not yet been conducted. In the present study, we identified 37 XTH genes (MeXTH1-37) within the cassava genome, and most of them contain two conserved structures (Glyco_hydro_16 and XET_C domain). Phylogenetic analysis grouped 37 MeXTH genes into three distinct clades, a classification further supported by exon–intron organizations and the conserved protein motif architectures. Duplication events, particularly segmental duplication, were identified as the main driving force for MeXTH gene expansion in cassava. Comparative synteny analysis revealed orthologous relationships between MeXTH genes and XTH-related genes in seven other plant species, including soybean, poplar, tomato, Arabidopsis, maize, wheat, and rice. Global expression analysis revealed that MeXTH genes display different expression patterns in various cassava tissues, shedding light on their potential biological functions. Furthermore, quantitative real-time PCR (qRT-PCR) analysis of 12 representative MeXTH genes under salt and osmotic stress, as well as salicylic acid (SA) and methyl jasmonate (MeJA) treatments, demonstrated their differential responses to these stimuli. These results provide novel insights into the role of the MeXTH gene family in enhancing cassava’s tolerance to abiotic stress. Full article

Given the increasing crop yield losses, water scarcity, and fertilizer application in Northeast China, a systematic assessment is increasingly necessary to investigate the potential of crop redistribution to enhance grain production while alleviating environmental pressures. Here we quantify the potential of crop redistribution in Northeast China through a multi-objective optimization approach. First, we construct a dataset that contains four objectives including crop yield, yield losses, water deficit, and nitrogen fertilizer application based on their annual data in 273 counties over two decades (2001–2020). Second, we optimize the county-level distribution of rice, maize and soybean using the developed dataset and evaluate the benefits on each objective. Finally, we design a crop redistribution scheme and analyze its impact on the cropping structure in Northeast China based on the optimal solution. Results show significant potential of crop redistribution, with crop production increases by 1.70% (2.41 × 10⁶ tons), production losses decrease by 2.69% (1.84 × 10⁵ tons), water deficit decreases by 6.78% (3.88 × 10⁸ m³) and N fertilizer application decreases by 10.87% (5.41 × 10⁷ kg) when all the objectives are optimized simultaneously. The crop redistribution scheme is summarized as follows: compared with the baseline crop structure, rice area increases by 69.58%, maize reduces by 12.8%, and soybean reduces by 54.79% in Northeast China. Specifically, rice area increases in northwestern Heilongjiang, eastern Jilin, most counties in Liaoning, and reduces elsewhere. Maize area reduces in most of the counties, except for several counties in southwestern Heilongjiang, northern Jilin, and northern parts of the Four Eastern Leagues. Soybean area reduces in northern part of Heilongjiang and Four Eastern Leagues and increases in western Jilin and most counties in Liaoning. Although crop redistribution scheme was generated, the model remains limited in terms of crop types, spatial resolution, and the range of factors influencing crop distribution. Future work will address these limitations to enhance the reliability and applicability of the crop redistribution model. Full article

Rice cultivation has the ability to ameliorate saline soils, but this monoculture pattern can lead to negative plant–soil feedback. In a previous study, we investigated the effects of long-term rice cultivation on saline soil chemistry, salt ions, root characteristics, and agglomerate formation, and concluded that the optimal rice planting period is 5 years. However, we do not know which crop rotation is most effective in improving this negative soil feedback and enhancing soil quality. In this study, we carried out an experiment on saline land planted with rice over 5 years and set up four different rotations, including rice–Hunan Jizi, rice–maize, rice–sweet sorghum, and rice–soybean, with perennial rice planting as CK, to analyze soil texture under different treatments. Physicochemical properties and enzyme activities were also analyzed under different treatments, and the soil quality index (SQI) was constructed using principal component analysis and correlation analysis for comprehensive evaluation of each treatment. The results showed that (1) the saline-alkali soil texture of perennial rice planting in the Yinbei Plain was silty soil, and different rice drought rotation methods changed the soil texture from silty to silty loam, which improved the fractal dimension of the soil. The fractal dimension of saline-alkali soil was significantly positively correlated with the clay volume content, negatively correlated with silt volume content, and negatively correlated with sand volume content. (2) There was no risk of structural degradation (SI > 9%) in saline-alkali soil planted in perennial rice, and it appeared that RS (rice–soybean) could improve the stability coefficient of soil structure in the 0~40 cm soil layer. (3) Different rice and drought rotation methods could significantly affect the physical and chemical properties and enzyme activities of soil, and the quality of soil in the 0~40 cm soil layer was evaluated; RS (rice–soybean) and RC (rice–maize) were suitable for rice drought rotation in the Yinbei area. The structural equation model showed that salinity and soil nutrients were the key factors restricting the improvement of saline-alkali soil quality in Yinbei. These results will deepen the current understanding of bio-modified saline soils. Full article

As an important reserve resource for cultivated land, the improvement and fertility enhancement of saline-alkali land are key to alleviating the pressure on cultivated land and ensuring the sustainable utilization of land resources. Studying the regulatory effect of rotation patterns on the soil fertility of saline-alkali land is one of the core research contents in exploring low-cost and environmentally friendly comprehensive management strategies for saline-alkali land. This study focuses on Zhaoyuan County, a representative saline and alkaline area within the Songnen Plain. Utilizing remote sensing technology, crop information was systematically collected across 13 time periods spanning from 2008 to 2020. These data were employed to construct a comprehensive crop information change atlas. This atlas categorized crop rotation patterns based on crop combinations, rotation frequencies, and the number of consecutive years of planting. Using soil sampling data from 2008 and 2020, a soil fertility evaluation was conducted, and the changes in soil chemical properties and fertility under various crop rotation patterns were analyzed. The results of the study show that, during the study period, crop rotation patterns in Zhaoyuan County were dominated by paddy-upland rotations and upland crop rotations. Crop rotation patterns, categorized by crop combination, were dominated by soybean–maize–other crops rotation (S-M-O) and rice–soybean–maize–other crops rotation (R-S-M-O). The frequency of crop rotation is dominated by low- and medium-frequency crop rotation. Crop rotation significantly increased soil organic matter, total nitrogen content, and overall soil fertility in the study area, while simultaneously lowering soil pH levels. Crop rotation patterns with different crop combinations had significant effects on soil chemical properties, with smaller differences in the effects of different rotation frequencies and years of continuous cropping. Crop rotation patterns incorporating soybean demonstrate a significant positive regulatory impact on the soil fertility of saline-alkali land. Low-frequency crop rotation (with ≤5 crop changes) has a relatively better effect on improving soil fertility. This research provides important empirical support and decision-making references for establishing sustainable farming systems in ecologically fragile saline-alkali areas, ensuring regional food security, and promoting the long-term sustainable utilization of land resources. Full article

A resilient food trade system is crucial for global food security. The spatiotemporal changes in the trade of four main cereals (soybean, wheat, rice, and maize) and their responses to COVID-19 may serve as an efficient indicator of system resilience but remain underexplored. Using the United Nations Comtrade dataset and the COVID-19 dataset, this paper analyzed the evolution of the Global Trade Network for Four Cereals (GTN4) over 21 years and assessed their trade responses to COVID-19. The findings are as follows: (1) The GTN4 underwent a significant shift after 2019. Between 2000 and 2019, the network steadily expanded in size and became more interconnected, both overall and within groups of developing and developed countries. However, following 2019, its overall accessibility declined, with the extent of deterioration varying between these two groups. (2) COVID-19 influenced the cereal trade in 44–69% of countries, with developed nations exhibiting greater resilience. (3) Wheat exports from Germany, rice from Italy, and maize from the United States demonstrated the highest resilience, while Spain’s soybean trade played a key role in global imports. This research provides new insights into global food security and pandemic resilience, informing sustainable development at the national, group, and global levels. Full article

Glutathione peroxidase (GPX) is crucial in mediating plant responses to abiotic stresses. In this study, bioinformatics methods were used to identify the GPX gene family in quinoa. A total of 15 CqGPX genes were identified at the quinoa genome level and conducted preliminary analysis on their protein characteristics, chromosome distribution, gene structure, conserved domain structure, cis-acting elements, and expression patterns. Phylogenetic analysis showed that the GPX genes of quinoa, Arabidopsis, soybean, rice, and maize were divided into three groups. Most of the CqGPXs had the three characteristic conserved motifs and other conserved sequences and amino acid residues. Six types of cis-acting elements were identified in the CqGPX gene promoter, with stress and hormone response-related cis-acting elements constituting the two main categories. Additionally, the expression patterns of CqGPX genes across various tissues and their responses to treatments with NaCl, PEG, CdCl₂, and H₂O₂ were also investigated. The qRT-PCR results showed significant differences in the expression levels of the CqGPX genes under stress treatment at different time points. Consistently, the activity of glutathione peroxidase enzymes increased under stresses. Heterologous expression of CqGPX4 and CqGPX15 conferred stress tolerance to E. coli. This study will provide a reference for exploring the function of CqGPX genes. Full article

The Dof (DNA-binding with one finger) domain protein family is a plant-specific zinc finger transcription factor family that plays a role in various biological processes in plants. However, research on Dof transcription factors in soybean (Glycine max) remains limited. In this study, we identified 79 putative soybean Dof genes, which are distributed across the entire genome. A comparative phylogenetic analysis of the Dof gene family in soybean, Arabidopsis, rice, maize, and Medicago revealed five major groups. The synteny relationship analysis showed a large number of gene duplication events in soybean. Twelve cis-acting elements were detected in the promoter region of the Dof gene, including five hormone response elements and several environmental response elements. Expression pattern analysis indicated that most Gmdof genes exhibited specific expression patterns. Nine genes in group V, which exhibited higher expression in the root, were identified as significantly responsive to salt stress through qRT-PCR. The possible biological functions of several Gmdof genes were discussed, including Gmdof11.2, Gmdof2.1, and Gmdof16.2. In summary, this study integrated phylogenetic analysis with genome-wide expression profiling to provide valuable information for understanding the functional characteristics of Dof genes in soybean. Full article

Despite growing importance, agricultural landscapes face threats, like fragmentation, shrinkage, and degradation, due to climate change. Although remote sensing and GIS are widely used in monitoring croplands, integrating machine learning, remote sensing, GIS, and landscape metrics for the holistic management of this landscape remains underexplored. Thus, this study monitored crop patterns using random forest (94% accuracy), the role of geographical factors (such as elevation, aspect, slope, maximum and minimum temperature, rainfall, cation exchange capacity, NPK, soil pH, soil organic carbon, soil type, soil water content, proximity to drainage, proximity to market, proximity to road, population density, and profit per hectare production), diversity, combinations, and fragmentation using landscape metrics and a fragmentation index. Findings revealed that slope, rainfall, temperature, and profit per hectare production emerged as significant drivers in shaping crop patterns. However, anthropogenic drivers became deciding factors during spatial overlaps between crop suitability zones. Rice belts were the least fragmented and highly productive with a risk of monoculture. Croplands with a combination of soybean, black grams, and maize were highly fragmented, despite having high diversity with comparatively less production per field. These diverse fields were providing higher profits and low risks of crop failure due to the crop combinations. Equally, intercropping balanced the nutrient uptakes, making the practice sustainable. Thus, it can be suggested that productivity and diversity should be prioritized equally to achieve sustainable land use. The development of the PCA-weighted fragmentation index offers an efficient tool to measure fragmentation across similar agricultural regions, and the integrated approach provides a scalable framework for holistic management, sustainable land use planning, and precision agriculture. Full article

The main objective of energy balance analysis is to guide farmers in making informed decisions that promote the efficient management of natural resources, optimise the use of agricultural inputs, and improve the overall economic performance of their farms. In addition, it supports the adoption of sustainable agricultural practices, such as crop diversification, the use of renewable energy sources, and the recycling of agricultural by-products and residues into natural energy sources or fertilisers. This paper analyses the variation in energy efficiency between 2019 and 2022 of the main crops in Angola: maize, soybean, and rice, and the forest production of eucalyptus biomass in agroforestry farms. The research was based on the responses to interviews conducted with the managers of the farms regarding the machinery used, fuels and lubricants, labour, seeds, phytopharmaceuticals, and fertilisers. The quantities are gathered by converting data into Megajoules (MJ). The results show variations in efficiency and energy balance. In corn, efficiency fluctuated between 1.32 MJ in 2019 and 1.41 MJ in 2020, falling to 0.94 MJ in 2021 due to the COVID-19 pandemic before rising to 1.31 MJ in 2022. For soybeans, the energy balance went from a deficit of −8223.48 MJ in 2019 to a positive 11,974.62 MJ in 2022, indicating better use of resources. Rice stood out for its high efficiency, reaching 81,541.33 MJ in 2021, while wood production showed negative balances, evidencing the need for more effective strategies. This research concludes that understanding the energy balance of agricultural operations in Angola is essential not only to achieve greater sustainability and profitability but also to strengthen the resilience of agricultural systems against external factors such as climate change, fluctuations in input prices, and economic crises. A comprehensive understanding of the energy balance allows farmers to assess the true cost-effectiveness of their operations, identify energy inefficiencies, and implement more effective strategies to maximise productivity while minimising environmental impacts. Full article

The maize FT-interacting protein (FTIP) gene family represents a group of multiple C2 domain and transmembrane proteins (MCTPs), characterized by their unique structural motifs and membrane-spanning regions., plays crucial roles in intercellular communication and stress responses. Here, we systematically characterized 27 ZmFTIP genes unevenly distributed across 10 maize chromosomes. Phylogenetic analysis with rice, soybean, and Arabidopsis homologs revealed five evolutionary clades with monocot-specific conservation patterns. Promoter cis-element profiling identified hormone-responsive (ABA, JA, auxin) and stress-related motifs, corroborated by differential expression under abiotic stresses and phytohormone treatments. Notably, ZmFTIP18 and ZmFTIP25 showed sustained upregulation under cadmium exposure, while ZmFTIP13 exhibited downregulation. Synteny analysis demonstrated strong conservation with monocot FTIPs, suggesting ancient evolutionary origins. This comprehensive study provides foundational insights into ZmFTIP functional diversification and potential biotechnological applications. Full article