Search Results (117)

Isopentenyltransferase (IPT) is the rate-limiting enzyme in cytokinin biosynthesis and plays a critical role in plant acclimation to abiotic stress. To explore soybean IPT genes, we performed genome-wide identification, bioinformatics analysis, and molecular experimental validation to systematically characterize the features and functions of the soybean IPT (GmIPT) gene family. We identified 15 GmIPT genes in the soybean genome, which are unevenly distributed across 12 chromosomes; their evolutionary expansion is primarily driven by whole-genome duplication events. Phylogenetic analysis of soybean IPT proteins with those from Arabidopsis, rice and maize clustered them into four groups, exhibiting lineage-specific functional specialization. GmIPT genes exhibit significant variations in conserved motifs, gene structure, and cis-acting elements; their promoter regions are enriched in light-responsive, abiotic stress-responsive, and hormone-responsive elements, indicating their involvement in complex transcriptional regulatory networks. Tissue expression profiling revealed that GmIPT7 and GmIPT10 are highly expressed in various tissues, whereas GmIPT14 shows specific expression in flowers and the shoot apical meristem. Transcriptomic analysis and qRT-PCR validation demonstrated that GmIPT7, GmIPT10 and GmIPT15 respond differentially to drought, salt and low-temperature stress, with GmIPT15 exhibiting a transient upregulation at 3 h (p < 0.01) followed by a gradual decline to levels close to the pre-treatment control at 6–12 h under low-temperature stress. We further performed haplotype analysis of GmIPT15 and identified a putative elite haplotype (hap1) associated with cold tolerance based on low-temperature germination index assessment. This study provides useful insights for the future functional characterization of plant IPT genes and offers potential genetic resources and molecular markers that may support molecular-assisted breeding for soybean abiotic stress tolerance. Full article

Enhancing crop diversity is a key pillar of the EU’s 2023–2027 CAP eco-schemes, yet Poland’s long-standing crop simplification raises doubts about the policy’s effectiveness. This study assesses the determinants of crop structure and crop diversity in Poland and evaluates whether eco-schemes generate measurable improvements at farm and municipal scales. A multilevel approach integrates municipality-level saturation with ecological interventions (eco-schemes, organic farming, and agri-environment–climate measures) with longitudinal data from 192 purposively selected farms across all 16 voivodeships for 2016, 2021, and 2024. Crop diversity is measured using the Shannon–Wiener index (H′), combined with indicators of specialization, farm size, and participation in CAP instruments. Spatial and temporal comparisons reveal that farms engaged in commercial animal production maintain simplified crop structures, which is associated with specialization as a dominant factor in low diversity. Maize share increased steadily from 12.4% to 16.7%, signalling ongoing homogenization, particularly in livestock-intensive regions. Contrary to earlier assumptions, smaller farms did not exhibit higher diversity, suggesting organizational constraints. At the municipal level, greater saturation with eco-schemes and organic farming was associated with higher H′ values, while areas with strong agri-environment–climate presence—often mountainous—showed lower diversity due to biophysical limits. The findings highlight structural barriers that may limit eco-scheme impacts. Full article

Unmanned aerial vehicles (UAVs) are increasingly used for crop monitoring, but their widespread adoption is limited since they often rely on non-standard specialized cameras equipped with near-infrared (NIR) sensors. More affordable and scalable crop monitoring solutions would be enabled, however, if data could be collected using standard RGB sensors. We compared visible-band indices that incorporate blue spectral range (NDGBI and NDRBI) with traditional NIR-based indices (NDVI and GNDVI) for their effectiveness in monitoring maize growth and nitrogen status. UAV multispectral data capture at different maize growth stages was complemented by ground-based spectroradiometer measurements for calibration and validation. Various agronomic and yield variables (including cornstalk NO₃–N content, grain yield, grain moisture, number of corncobs, and grain test weight) were recorded to link spectral responses with plant performance and nutritional status. The results show that the overall performance of the RGB-based approach was comparable to that of the NIR-based approach, with the visible-band indices proving to be highly sensitive to physiological stress, chlorophyll degradation, and nitrogen variability in maize. Our findings highlight the potential of the RGB-based indices to complement or even replace specialized NIR-based indices, providing a cost-effective, high-resolution tool for precision agriculture. Full article

This study analyzes the competitive asymmetries and trade effects of the proposed EU–Mercosur Trade Agreement on the European Union’s (EU) and Polish agri-food sectors. The comparative analysis reveals that Mercosur holds a significant structural advantage driven by substantially lower labor costs, cheaper agricultural land, and a climate permitting multiple harvests. This cost advantage is further compounded by weaker regulatory standards (e.g., on pesticides and antibiotics). This structural edge is most pronounced in high-volume commodities, leading to Mercosur trade surpluses in products such as soybeans, sugar cane, and wheat, which pose the primary competitive threats to the EU market. Conversely, the EU maintains an intensive advantage through superior yields in intensive farming (e.g., maize) and specialization in high-value, processed products. This creates quantifiable export opportunities for EU/Polish producers in sectors where Mercosur is a consistent net importer, notably other frozen vegetables, preserved tomatoes, and apples. The findings confirm an asymmetric effect of liberalization, which necessitates a dual strategy of internal structural reform (e.g., the EU Protein Strategy) and the implementation of external protective mechanisms, including strategic Common Agricultural Policy (CAP) adaptations and safeguard clauses, to maintain the long-term competitiveness and Supply Chain Resilience of European agriculture. Full article

Aiming at the reliability of ear picking and the consistency of stalk chopping length in the process of corn ear and stalk harvesting, a new type of corn harvester with both ear and stalk harvesting based on exciting ear picking was developed. Based on the vertical cutting table, the machine realizes the excitation of the ear during the process of stalk transportation by rotating the eight-edged special-shaped pick-up roll, and the stable and orderly transportation of stalks before cutting is realized by the way of clamping and conveying with the rear rollers. By analyzing the configuration and parameter determination methods of the main working parts, the high-efficiency and low-loss harvest of the ear was realized, and the consistency of the cut length of the stalk was guaranteed. A discrete element model (DEM) of ear-bearing maize plants was established using EDEM (version 2024, Altair Engineering, Troy, MI, USA) simulation software, and a five-factor, three-level quadratic orthogonal rotation experiment was conducted based on Response Surface Methodology (RSM). The simulation results indicated that the optimal operational quality was achieved under the following parameters: a header angle of 10°, a snapping roller speed of 942 rpm, a clamping roller speed of 215 rpm, and a moving blade speed of 1450 rpm. Furthermore, multiple sets of field trials were conducted at various forward speeds to validate these findings. The mean values of seed loss rate, ear loss rate, and seed breakage rate are 0.51%, 0.55%, and 0.32%, respectively, for the harvester at operating speeds of 4 km/h, 6 km/h, 8 km/h, and 10 km/h. The σ values are 97%, 98%, 97%, and 98%. The field harvesting performance indexes meet the requirements of technical specifications for evaluating the operation quality of corn combine harvester, and meet the design requirements of low loss, high efficiency, and consistency of stem chopping length. Full article

Popcorn (Zea mays everta) is a special type of flint maize that boasts several unique popping characteristics highly valued worldwide. Water-limiting conditions strongly influence the major popcorn quality attributes: expansion volume, popability, and nutritional composition. The objectives of this study were to identify rainfed popcorn genotypes with superior popping quality, nutritional quality, and agronomic performance. Seven diverse popcorn genotypes, including a check cultivar, were evaluated for two consecutive years (2023–2024) using a randomized complete block design with three replications at the university research farm, PMAS-AAUR. Significant genetic variations were observed across all morphological, physiological, and quality-related traits. Among the evaluated materials, Pop-2 consistently exhibited outstanding performance in key agronomic and physiological attributes as well as in popping quality, while Pop-5 and Pop-3 also showed promising potential. Overall, Pop-2, Pop-5, and Pop-3 were identified as the most suitable genotypes for cultivation and are recommended as candidates for future breeding programs targeting improved popcorn performance under rainfed conditions. Full article

The EU–Mercosur agri-food trade is characterized by strong asymmetries reflecting long-standing structural differences between the two blocs. With the EU–Mercosur Agreement moving toward ratification, assessing these long-term trade patterns is essential for anticipating how liberalization may reshape comparative advantages and adjustment pressures in agri-food sectors. The analysis applies four quantitative indicators: the Revealed Comparative Advantage index (RCA), the Trade Complementarity Index (TCI), the Trade Intensity Index (TII), and the Export Similarity Index (ESI). Mercosur shows strong comparative advantages in raw and semi-processed commodities such as soybeans, meat, sugar and maize, while the EU specializes in higher value-added processed foods. High TCI values indicate strong alignment between Mercosur’s export structure and EU import demand, while low ESI values reveal limited direct competition. Low TII values suggest unrealized cooperation potential. Findings highlight both opportunities and vulnerabilities for agri-food sectors under future trade liberalization. Full article

Low-temperature (LT) stresses (cold and frost) are major abiotic factors limiting plant growth and productivity. LT induces numerous physiological and biochemical changes in plants, changes hormonal balance and photosynthetic efficiency. Stress induced by LT often leads to yield losses in crops. While plants like maize and cucumber are highly sensitive to cold, winter cereals such as wheat and rye suffer mainly from severe frosts. Ongoing climate change and temperature fluctuations further increase the risk of LT-induced damage. To counteract the problems connected with LT stress, multiple strategies have been developed to enhance plant tolerance. Agrotechnical practices and biochemical treatments involving the application of phytohormones or osmoprotectants are designed to improve plant tolerance to LT. Beneficial plant–microbe interactions also contribute to alleviating LT stress. In addition, genetic engineering offers powerful tools for creating new cultivars that are more tolerant to LT. The CRISPR/Cas system, in particular, enables precise modifications and represents a promising tool for advancing sustainable agriculture. Integrated methods of protection are crucial for securing food supplies, especially under conditions of a changing climate. This mini-review summarises strategies for protecting plants against LT stress, with special attention paid to crop plants. Full article

The global transition to renewable energy has intensified the focus on anaerobic digestion (AD) as a sustainable solution for organic waste management and biogas production. This study presents a comprehensive techno-economic analysis (TEA) of AD systems integrated with carbon capture and digestate treatment technologies, evaluated across four distinct operational scenarios. The research leverages an innovative AI-agent framework to streamline TEA, enabling stakeholders to conduct sophisticated analyses without specialized expertise. Key findings reveal that feedstock composition significantly impacts biogas yields, with maize and rye blends (mix2) outperforming maize-dominated mixes (mix1), achieving higher biogas production (26,029 m³/y vs. 23,182 m³/y). Membrane-based CO₂ separation and liquefaction technologies demonstrated superior economic viability compared to cryogenic methods, yielding lower energy consumption (2400 MWh/y vs. 3000 MWh/y) and higher net revenues (GBP 4.0 million/y vs. GBP 3.5 million/y). Financial metrics further underscored the advantages of membrane-based systems, with the mix2 configuration achieving a net present value (NPV) of GBP 19 million and an internal rate of return (IRR) of 36%, alongside a shorter payback period (3 years). Sensitivity analysis highlighted natural gas prices and tax rates as critical determinants of economic performance, while water costs had negligible impact. The study also evaluated digestate treatment methods, finding that base-case separation outperformed torrefaction in financial returns. Full article

Seed priming, traditionally viewed as a method for enhancing crop resilience to abiotic stress, has evolved into a multifaceted agronomic strategy. This review synthesizes the current findings demonstrating that priming influences plant development, metabolic regulation, and yield enhancement even under optimal conditions. By covering a wide range of crops, including cereals (e.g., wheat, maize, rice, and barley) as well as vegetables and horticultural species (e.g., tomato, carrot, spinach, and lettuce), we highlight the broad applicability of priming across agricultural systems. The underlying mechanisms include hormonal modulation, altered source–sink dynamics, accelerated phenology, and epigenetic memory. Various priming techniques are discussed, including hydropriming, osmopriming, biopriming, chemopriming, and nanopriming, with attention to their physiological and molecular effects. Special focus is given to the role of seed priming in advancing climate-smart and precision agriculture. By shifting the narrative from stress mitigation to holistic crop performance optimization, seed priming emerges as a key tool for sustainable agriculture in the face of global challenges. Full article

Maize (Zea mays L.) is a staple cereal crop worldwide, but its productivity is significantly affected by extreme weather conditions such as drought and heat stress. Plant growth, physiological processes, and yield potential are all affected by these conditions; as such, resilient maize crops are required to tackle these abiotic challenges. With an emphasis on morphological, physiological, and biochemical reactions, this review paper investigates the processes that underlie resistance to certain environmental challenges. Features including deep root systems, osmotic adaptations, and antioxidant enzyme activity help maize withstand drought. Activation of drought- and heat-responsive genes, accumulation of osmoregulatory compounds, and changes in membrane fluidity are all components of abiotic stress tolerance. Likewise, improved transpiration efficiency, modified photosynthetic processes, and improved heat shock proteins are used to produce heat resistance. Enhancing resilience requires progress in breeding methods, genetic engineering, and agronomic techniques, such as the use of stress-tolerant cultivars, biotechnology interventions, and climate-smart agriculture tactics. A special focus was given to cutting edge technologies like CRISPER-Cas9-mediated recent advances in heat and drought resistance. This review sheds light on recent studies and potential avenues for enhancing resilience to harsh climatic conditions, guaranteeing food security in the face of climate change. Full article

Crop diversification is a vital strategy for achieving sustainable agriculture and food security, yet adoption rates remain low. This study examined the socioeconomic factors influencing crop diversification among smallholder farmers. A two-stage sampling procedure was employed to elicit data from 161 farmers solely specializing in crop production. A structured questionnaire was used to collect data, analyzed using descriptive statistics. The multiple linear regression and multivariate probit regression models were applied to assess the socioeconomic factors influencing diversification. The results revealed that smallholders primarily focused on vegetable cultivation (87%), followed by cereals (56%) and legumes (43%). Education level, household size, market access, and the perceived benefits of diversification significantly (p < 0.05) influenced diversification decisions. Also, sources of irrigation water, age, marital status, and farm size were key factors in vegetable diversification, while farming experience, farm size, and perceived benefits influenced legume diversification. Only marital status and farming experience were positively linked to cereal crop diversification. Furthermore, 48.4% of farmers practice intercropping, integrating maize with pumpkins or sugar beans, while 33.5% still rely on monoculture, predominantly maize, due to limited resources. These findings highlight the need for policies and extension support to address socioeconomic barriers and encourage a wider adoption of crop diversification strategies. Full article

Maize, a staple food and cash crop worldwide, also serves as a critical industrial raw material. However, it is significantly threatened by viral pathogens, particularly maize dwarf mosaic virus (MDMV), the primary cause of maize dwarf mosaic disease, a debilitating condition affecting maize cultivation. This study aims to establish a multi-gene combined RT-PCR assay for the rapid specific, sensitive, and reliable detection of MDMV without the need for special expensive equipment. Samples of imported maize, sorghum, and barley were collected from ports in Fujian and Shanghai. Primers targeting the coat protein (CP) and cytoplasmic inclusion protein (CI) genes of MDMV were designed and optimized. Through the design and screening of primers, as well as the optimization of reaction conditions and primer concentrations, a multi-gene combined RT-PCR assay was established to simultaneously detect both genes. Additionally, a real-time fluorescent-based RT-PCR (RT-qPCR) assay was developed using the CP gene to confirm the accuracy of multi-gene combined RT-PCR assay. The sensitivity of the optimized multi-gene combined RT-PCR assay enables the detection of MDMV in infected maize leaf crude extracts at dilutions of 5.37 pg/μL. This assay exhibited excellent specificity, high sensitivity, and robust repeatability, providing swift and accurate detection of MDMV. The multi-gene combined RT-PCR assay offers precise and efficient technical support for MDMV detection and contributes to improved maize production practices. Full article

Halotolerant plant growth-promoting bacteria (HT-PGPB) have attracted considerable attention for their significant potential in mitigating salt stress in crops. However, the current exploration and development of HT-PGPB remain insufficient to meet the increasing demands of agriculture. In this study, an HT-PGPB isolated from coastal saline-alkali soil in the Yellow River Delta was identified as Glutamicibacter endophyticus J2-5-19. The strain was capable of growing in media with up to 13% NaCl and producing proteases, siderophores, and the plant hormone IAA. Under 4‰ salt stress, inoculation with strain J2-5-19 significantly increased the wheat seed germination rate from 37.5% to 95%, enhanced the dry weight of maize seedlings by 41.92%, and notably improved the development of maize root systems. Moreover, this work presented the first whole-genome of Glutamicibacter endophyticus, revealing that G. endophyticus J2-5-19 resisted salt stress by expelling sodium ions and taking up potassium ions through Na⁺/H⁺ antiporters and potassium uptake proteins, while also accumulating compatible solutes such as betaine, proline, and trehalose. Additionally, the genome contained multiple key plant growth-promoting genes, including those involved in IAA biosynthesis, siderophore production, and GABA synthesis. The findings provide a theoretical foundation and microbial resources for the development of specialized microbial inoculants for saline-alkali soils. Full article