Search Results (7,684)

The development of new methods enhancing the growth and yield of cereals is still needed in crop production due to their great importance in human diet and as livestock fodder. In our study, new fertilizer-biostimulators with micro- and macroelements and extract containing lipochitooligosaccharides (LCOs) produced by Rhizobium leguminosarum bv. trifolii were used for stimulation of growth of barley and triticale in greenhouse conditions. The preparations were applied at the tillering and shooting stages, whereas plant traits were studied at flowering and at full maturity. The best results were recorded after the joint treatment of the plants with LCOs and mineral fertilization. The application of such a mixture significantly increased the length and mass of roots at flowering in both studied species. A beneficial effect of the treatment was also observed in barley and triticale yields. At full maturity, the grain mass per plant was significantly enhanced, which was the effect of an increased number of grains per ear and increased mass of 1000 grains. Full article

To address the challenges of steel surface defect detection—characterized by fine-grained textures, substantial scale variations, and complex background interference—conventional lightweight detectors often struggle to balance real-time navigation requirements with high-precision spatial localization on mobile inspection platforms. In this work, we propose KDM-YOLO, a lightweight visual localization and detection method built upon YOLOv10n, designed to provide an efficient perception engine for autonomous inspection robots. The proposed approach enhances the baseline through three key perspectives: feature extraction, context modeling, and multi-scale fusion. Specifically, KWConv is introduced to strengthen the representation of fine-grained texture and edge cues; C2f-DRB is employed to enlarge the effective receptive field and improve long-range dependency perception to reduce missed detections; and a multi-scale attention fusion (MSAF) module is inserted before the detection head to adaptively integrate spatial details with semantic context while suppressing redundant background responses. Ablation studies confirm that each module contributes to performance gains, and their combination yields the best overall results. Comparative experiments further demonstrate that KDM-YOLO significantly improves detection performance while retaining a compact model size and high inference speed. Compared with the YOLOv10n baseline, Precision, Recall and mAP@50 are increased to 91.0%, 93.9%, and 95.4%, respectively, with a parameter count of 3.29 M and an inference speed of 155.6 f/s. These results indicate that KDM-YOLO achieves an ideal balance between the accuracy and computational efficiency required for embedded navigation platforms, providing an effective solution for online autonomous inspection and real-time localization of steel surface defects. Full article

Simultaneous achievement of high yield and excellent quality in rice is essential for food security and human health. The coordinated application of nitrogen (N) and sulfur (S) can effectively increase the grain yield (GY) and grain protein concentration (GPC) of rice. A two-season field experiment was conducted to investigate the synergistic effects of combined N and S application on the GY and GPC of rice. This study employed four N rates (0, 120, 180, and 240 kg ha⁻¹, designated as N0, N1, N2, and N3, respectively) and four S rates (0, 30, 45, and 60 kg ha⁻¹, designated as S0, S1, S2, and S3, respectively) using two rice cultivars: Jiujiuxiang (JJX) and Jiuxiangyou (JXY). The experimental results demonstrate that N and S exert significant effects on the GY and GPC of rice, with notable interactive effects between these two nutrient elements. The synergistic fertilization of N and S enhanced the GY by improving rice plant photosynthesis and dry matter accumulation while increasing GPC through elevated cysteine concentration in grains. Compared to the unfertilized treatment, the GY of the JJX cultivar showed increases of 68.3–143.2% (Season I) and 59.4–133.4% (Season II) under combined N and S applications, while the GY of the JXY cultivar increased by 53.2–144.1% (Season I) and 66.0–192.9% (Season II). Similarly, the GPC of the JJX cultivar showed increases of 7.5–43.4% (Season I) and 5.7–43.9% (Season II) under combined N and S applications, while the GPC of the JXY cultivar increased by 13.1–66.7% (Season I) and 13.3–61.0% (Season II). Overall, whether on the JJX or JXY cultivars, the application of 180 kg ha⁻¹ of N combined with 45 kg ha⁻¹ of S (i.e., the N2S2 treatment) synergistically enhances GY and GPC in rice. The synergistic fertilization of N and S synergistically enhances both rice yield and nutritional quality by regulating plant growth dynamics, which meet the requirements for healthy and sustainable development in rice production systems. Full article

The common bean (Phaseolus vulgaris L.) is of great food and economic importance in Brazil, but its productivity is highly affected by water deficit due to its superficial root system and short cycle. With the increase in prolonged droughts, irrigation has become a solution, albeit a costly one, for small farmers. In this scenario, bioinputs, such as Bacillus aryabhattai, represent a sustainable and low-cost strategy to improve crop performance under reduced irrigation conditions. The objective of this study was to evaluate the potential of B. aryabhattai to improve the agronomic performance of the common bean under reduced irrigation levels. A greenhouse experiment was conducted in randomized blocks with a 2 × 4 factorial design (presence/absence of B. aryabhattai and four irrigation levels: 40, 60, 80, and 100% of the ETc). Agronomic and productive variables were evaluated. The results showed better performance at 80 and 100% ETc, achieving 16 and 20 g per plant⁻¹. Inoculation increased water use efficiency by 13% and contributed to higher grain yield. It was concluded that rational irrigation management combined with the use of B. aryabhattai improves agronomic performance and water use efficiency under reduced irrigation levels. Full article

A three-year experiment was conducted over the years 2020–2022 to determine the spectrum of microscopic fungi colonizing the grain of two fungicide-treated cultivars of spring barley and the profiles of mycotoxins identified in grain. In comparison with the unprotected control, fungicide treatment significantly increased grain yield by an average of approximately 10% in cv. Atrika and approximately 20% in cv. Vermont. The most abundantly isolated species were Alternaria alternata and Bipolaris sorokiniana. Fungi of the genus Fusarium were also widely represented, accounting for 7% to 27% of all isolates, depending on the year. Each year, 45 secondary fungal metabolites produced mainly by Fusarium and Alternaria species were identified. Fungicide protection did not reduce the overall concentration of Fusarium toxins and even caused a slight increase, while contributing to a decrease in the levels of nivalenol-3-glucoside, nivalenol, and deoxynivalenol. Concurrently, the concentrations of group A trichothecenes and moniliformin increased. The grain of spring barley cv. Vermont contained higher levels of the major Fusarium toxins than the grain of cv. Atrika. Non-parametric Friedman ANOVA revealed significant differences between years for eight mycotoxin concentrations. These results confirm the complex effects of chemical protection on the composition of grain microflora and mycotoxin profiles, indicating the need for further research into interactions between cultivars, environmental conditions, and integrated plant protection strategies in the production of food and feed cereals to improve food safety. Full article

Durum wheat (Triticum turgidum L. var. durum) plays a central role in global food and nutritional security, yet its grain mineral and protein quality remain highly variable across varieties and environments. This study aimed to evaluate the combined effects of varieties, nitrogen (N) fertilization, foliar zinc (Zn) and sulfur (S) application, and seasonal variation on grain macro- and micronutrients (Ca, Mg, K, Zn) and protein content, adopting a system-level approach that integrates varieties, nutrient management, and seasonal variability. We hypothesized that aligning variety selection with precision nutrient management would improve grain nutritional quality while enhancing resilience to environmental variation. Significant differences among varieties (p < 0.05) were observed, with the spring-sown variety Durablank exhibiting the highest grain Zn concentration (34.70 mg kg⁻¹) compared with MV Pelsodur (23.0 mg kg⁻¹) and GK Julidur (23.8 mg kg⁻¹), representing a 50.87% varietal difference. Grain Ca, Mg, and K varied widely across varieties and seasons, with drought in 2022 increasing grain Zn, while the wetter 2023 season enhanced Mg and K accumulation. A clear yield–protein trade-off was found, where high-yielding MV Pelsodur maintained 14.3% protein while moderate-yielding Durablank reached 16.8%. Foliar Zn and S applications significantly increased grain Zn, particularly in Zn-efficient varieties. Nitrogen fertilization at 100 kg ha⁻¹ improved macronutrient accumulation by 12–20% compared with 60 kg N ha⁻¹. Significant varieties × N × season interactions (p < 0.01) highlight the need for adjusted varieties -specific nutrient management strategies. Overall, the findings demonstrate that integrating genetic selection with optimized fertilization and season-responsive management practices may contribute to improving grain nutritional quality of durum wheat. Full article

In this work, the effect of partial to complete Al substitution of Si on the microstructure, retained austenite (RA) stability, and mechanical properties of cold-rolled TRIP-aided steels was investigated. Four experimental TRIP-aided steels (Fe-0.2C-1.5Mn-1.5/1.0/0.5/0Si-0/0.5/1.0/1.5Al-0.025Nb, wt.%) were designed. The results indicate that replacing Si with Al significantly increases the volume fraction of soft polygonal ferrite (from 52% to 73%) and decreases that of bainite. Although the volume fraction of RA decreases (from 15.6% to 12.4%), its average carbon content and, consequently, its mechanical stability are enhanced, which suppresses the strain-induced martensitic transformation. In terms of mechanical properties, the substitution leads to a monotonic decrease in both yield strength (from 573 MPa to 536 MPa) and ultimate tensile strength (UTS) (from 839 MPa to 648 MPa), primarily due to reduced solid-solution strengthening, coarsened ferrite grains, and a weakened TRIP effect. Conversely, the total elongation (TEL) increases from 28.3% to 32.4%, attributed to the higher fraction of ductile ferrite. Consequently, the product of tensile strength and total elongation (PSE) exhibits a slight decline. The 1.5Si-TRIP steel exhibited the most balanced mechanical properties, achieving the highest PSE of 23.7 GPa·%. Full article

Sunflower (Helianthus annuus L.) production is severely hindered by continuous cropping obstacles, leading to soil degradation and significant yield declines. This study compared soybean–sunflower (G-H) and maize–sunflower (Z-H) rotations against sunflower monoculture (H-H) to elucidate the mechanisms of soil health restoration associated with crop rotation. Our results demonstrated that Z-H and G-H rotations led to a profound yield increase of 103.19% and 82.35%, respectively, with Z-H improving the 100-grain weight by 52.63%. Soil biological revitalization was evidenced by a 98.29% increase in sucrase activity and a 28.92% rise in alkaline phosphatase activity. Metagenomic analysis revealed that the rotation sequences increased bacterial Chao1 richness by 35.29% and fungal Shannon diversity by 20.17%. Specifically, the rotation treatments proactively recruited beneficial taxa such as Pontibacter (Log₂FC > 3.0) and Panaeolus (Log₂FC = 6.88), while effectively suppressing pathogens such as Ceratobasidiaceae. Co-occurrence network analysis identified a complex bacterial scaffold (199 nodes, 53 modules) that provided greater structural robustness than the fungal network (27 nodes). It is concluded that diversified rotations effectively mitigate continuous cropping obstacles by reactivating nutrient cycling and restructuring the rhizosphere into a stable, modular microbial interactome. This study provides a quantitative framework for utilizing biological strategies to restore soil health in degraded agroecosystems. Full article

Compost application to soil is an effective strategy to enhance soil fertility, promote plant growth, and support sustainable agriculture. Nevertheless, the variability in the responses of plants to compost amendments across different compost types, concentrations, exposure durations, application media, and across different physiological traits of plants is not well understood. In this study, we performed a meta-analysis using data from 92 peer-reviewed scientific articles to better understand the effect of compost amendments on plant physiological, biochemical, and yield traits. The results of this study showed that compost amendment significantly improved plant growth parameters, and the increase in shoot biomass and plant height was the highest (~19.4–42.7%), followed by root length (20.4%) and root biomass (19.7%), indicating the important role of compost in promoting root development. In addition, photosynthetic efficiency was significantly enhanced, and total chlorophyll and carotenoid content increased by 13.5–49.1%. The yield-related traits, total yield, and 100-grain weight responded positively and significantly increased by ~18%. There were variations among different plant species and different exposure conditions. The mechanistic interaction between compost components, soil agrochemical properties, and plant physiological and yield responses should be further explored to maximize the benefits of compost application in sustainable agriculture. Full article

Hyperspectral imagery (HSI) offers rich spectral signatures and fine-grained spatial structures for remote sensing, but practical HSI classification is often constrained by scarce labels and complex geometric disturbances, including translation, rotation, scaling, and shear. Existing deep models are typically developed under Euclidean assumptions and rely on data-hungry training pipelines, which makes them brittle in the few-shot regime. To address this challenge, we propose EMNet, a Lie-group-based Equivariant Manifold Network for few-shot HSI classification that explicitly encodes geometric invariance and improves discriminative accuracy. EMNet couples an SE(2)-based Equivariance-Guided Module (EGM) to enforce equivariance to translations and rotations with an affine Lie-group-based Characteristic Filtering Convolution (CFC) that models scaling and shearing on the feature manifold while adaptively suppressing redundant responses. Extensive experiments on WHU-Hi-HongHu, Houston2013, and Indian Pines demonstrate state-of-the-art performance with competitive complexity, achieving OAs of 95.77% (50 samples/class), 97.37% (50 samples/class), and 96.09% (5% labeled samples), respectively, and yielding up to +3.34% OA, +6.01% AA, and +4.14% Kappa over the strong DGPF-RENet baseline. Under a stricter 25-samples-per-class protocol with 10 repeated random hold-out splits, EMNet consistently improves the mean accuracy while exhibiting lower variance, indicating better stability to sampling uncertainty. On the city-scale Xiongan New Area dataset with extreme long-tail imbalance (1580 × 3750 pixels, 256 bands, and 5.925 M labeled pixels), EMNet further boosts OA from 85.89% to 93.77% under the 1% labeled-sample protocol, highlighting robust generalization for large-area mapping. Beyond point estimates, we report mean ± SD/SE across repeated splits and provide rigorous statistical validation by computing Yule’s Q statistic for class-wise behavior similarity, performing the Friedman test with Nemenyi post hoc comparisons for multi-method ranking significance, and presenting 95% confidence intervals together with Cohen’s d effect sizes to quantify practical improvement. Full article

Over the past five decades, cereal production has increased largely through fertilizer-driven yield gains to meet rising global food demand. Sulphur (S) is an essential macronutrient required for plant growth and development, although its role in crop production has often been underemphasized compared with other major nutrients. Unintentional sulfur accumulation from atmospheric deposition has traditionally been sufficient for most crops, but recent trends indicate a steady decline in soil sulfur levels worldwide. This decline is largely attributable to reductions in atmospheric sulfur deposition, the widespread use of sulfur-free high-NPK fertilizers, and increased sulfur uptake by high-yielding crop varieties. Despite increasing yield losses associated with sulfur deficiency, sulfur fertilization remains inadequately adopted in many crop production systems. In cereals, sulfur deficiency not only reduces growth and yield but also alters the synthesis of sulfur-containing amino acids and storage proteins, thereby weakening grain processing, baking, and nutritional quality. Additionally, sulfur deficiency in cereal grains has emerged as a notable health concern. Nevertheless, sulfur fertilization alone may not effectively mitigate these challenges, as optimal sulfur uptake, distribution, and assimilation depend on precise synchronization with plant developmental stages through complex physiological processes. Further research on the genetic regulation of these physiological mechanisms is critical to enhancing sulfur use efficiency and sustaining cereal crop production systems in the coming years. Full article

The application of organic residues in agriculture helps to replenish soil organic carbon (OC), improve soil fertility and biodiversity, reinforce aggregate stability, and favour water infiltration. Moreover, its application as a soil amendment alters the fate of herbicides applied to the soil. The objective here was (i) to evaluate soil quality by determining the physicochemical and biological parameters of an agricultural soil (Soil) amended with green compost (Soil + GC) over an arable pea–wheat crop rotation in a short-term experiment; and (ii) to study the dissipation and persistence of iodosulfuron-methyl-sodium applied in field plots sown with winter wheat under real field conditions. The experimental field design consisted of 24 plots (10 m²) involving 12 with control and 12 with GC-amended soils. The plots were sown with pea after GC application (~11 t ha⁻¹) in February 2023, and with winter wheat in October 2023. Iodosulfuron-methyl-sodium (Hussar^® Plus, Bayer CropScience S.L., Barcelona, Spain) was applied in post-emergence at the agronomic dose (D1 = 176 mL ha⁻¹) and double dose (D2 = 352 mL ha⁻¹). Soil samples were taken from the plots to assess the soil physicochemical and biological parameters at six sampling times after GC application, with extraction and determination of residual herbicide and metabolite (metsulfuron-methyl) concentrations. In addition, the yield and characteristics of the pea and wheat grain crops were determined. The application of GC to the soil significantly increased pH (0.5 units by July 2024) and electrical conductivity (up to 5.2 times) compared to control soil, which remained constant throughout the experiment. The OC in Soil + GC increased by 40% in July 2024 compared to control soil. Total nitrogen content increased up to 2.0 and 1.3 times during the pea–wheat growing seasons in Soil + GC compared to unamended soil. Soil dehydrogenase activity, respiration, and biomass increased by up to 1.4, 2.2 and 1.4 times, respectively, in Soil + GC compared to unamended soil over the growing seasons. The soil microbial structure, determined by phospholipid fatty acid (PLFA) analysis, recorded no significant differences between the microbial groups in both soil treatments. A non-significant increase in pea and wheat yield was observed in Soil + GC compared to unamended soil. The results revealed an increase in the residual amounts of herbicide and metabolite, being slightly more persistent, with DT₅₀ and DT₉₀ values up to 1.6 times higher, in the Soil + GC plots over time. Much higher amounts of metabolite (DT₅₀ = 24.8–29.7 days) than iodosulfuron-methyl (DT₅₀ = 5.2–8.8 days) were found in all the treatments. This may be due to wheat plants intercepting the herbicide initially at the time of application in post-emergence, the rapid dissipation of the herbicide reaching the soil, and/or the higher persistence of the metabolite compared to that of the herbicide. Overall, the soil’s physicochemical and biological properties were improved in GC-amended soil, and organic amendment increased slightly the persistence of iodosulfuron-methyl-sodium and its metabolite in the soil. Full article

Background: Shelling percentage is an important trait affecting grain yield efficiency in maize, but its genetic basis remains insufficiently understood. Methods: In this study, a maize-teosinte BC₂S₂ population derived from Zheng58 and (Zea mays ssp. parviglumis, CIMMYTMA 8782) was used for phenotypic evaluation and QTL mapping of shelling percentage across two replicates and BLUP-based analysis. Candidate genes were further prioritized based on their positions within QTL support intervals, expression patterns, and functional annotation. Results: Two reproducible QTLs, qSP7 and qSP10, were identified on chromosomes 7 and 10, respectively. qSP7 explained 3.39–3.41% of the phenotypic variation, whereas qSP10 explained 2.96–6.45%. Within these intervals, Zm00001d021701, Zm00001d021708, and Zm00001d025739 were prioritized as candidate genes based on expression and annotation evidence. Conclusions: These results indicate that shelling percentage in maize is controlled by multiple loci with modest effects and provide a basis for future genetic analysis and marker development for this trait. Full article

Rice (Oryza sativa L.) grain quality is a critical determinant of market value, consumer acceptance, and nutritional security. This multifaceted trait is governed by the dynamic interaction of genotype (G), environment (E), and management practices (M). In this review, we synthesize recent advances in understanding these multifaceted determinants. We first delineate the genetic architecture, emphasizing key genes and quantitative trait loci (QTLs) such as Wx, ALK, Chalk5, and the GS3/GW families, which control starch composition, gelatinization temperature, chalkiness, and grain dimensions, forming the foundational blueprint for quality potential. We examine how this genetic potential is influenced by environmental factors, focusing on the detrimental impacts of abiotic stresses, particularly high temperatures during grain filling and drought, which impair milling yield, increase chalkiness, and modify starch and protein profiles. Furthermore, we discuss how optimized agronomic strategies—including precision water management (e.g., alternate wetting and drying), balanced nitrogen fertilization, and targeted micronutrient (e.g., silicon) application—can mitigate these adverse effects and potentially improve specific quality parameters. Post-harvest handling is identified as the final determinant of product quality. We conclude that achieving high and stable rice quality under climate variability requires an integrated G × E × M approach. Prospects include next-generation breeding for climate-resilient quality, precision agronomy guided by real-time sensing, synergistic soil health management, and the integration of systems biology with digital agriculture to design sustainable, high-quality rice production systems. Full article

Lodging is a major constraint to rice productivity and grain quality. The mechanical strength of basal internodes, particularly bending resistance (BDR), is a critical determinant of lodging resistance. In this study, we evaluated the BDR of the third and fourth basal internodes (BDR3 and BDR4) in a diverse panel of 340 rice accessions. A genome-wide association study (GWAS) identified three QTLs significantly associated with BDR3, which were defined and designated as qBDR1, qBDR4, and qBDR5. Further analysis revealed that OsWRKY102 on qBDR1 was identified as a key candidate gene. Haplotype analysis revealed distinct allelic variations between subspecies, with the elite haplotypes (Hap.1 and Hap.4) contributing to superior lodging resistance, while Hap.2 was predominantly found in lodging-susceptible Japonica accessions. CRISPR/Cas9-mediated knockout of OsWRKY102 in the ZH11 background resulted in a significant reduction of more than 50% in both BDR3 and BDR4 compared to the wild type. Detailed phenotypic characterization of the oswrky102 mutants revealed a substantial decrease in cellulose content and culm diameter, accompanied by an increase in culm wall thickness. These findings demonstrate that OsWRKY102 maintains culm mechanical strength by promoting radial expansion and cellulose accumulation. Biomechanical analysis further suggests that culm diameter and cellulose content are more critical for bending strength than wall thickness. Our results elucidate the regulatory role of OsWRKY102 in coordinating culm morphology and cell wall composition, providing a valuable genetic target for molecular breeding of high-yielding, lodging-resistant rice varieties. Full article