Search Results (1,051)

Mining-affected soils differ markedly in their physicochemical properties and metal loads, complicating the selection of plant material for phytoremediation. This study evaluated Brassica oleracea var. acephala ‘Pigeon’ growth across 14 mining-affected soils and a growth reference commercial substrate, followed by a site-specific pilot field assessment on a selected multi-metal-contaminated soil from Cavnic, Romania. Plant establishment, vegetative performance, pooled plant mass, and metal partitioning were assessed under controlled and field conditions. Plant responses varied strongly among soils, and final germination at 30 days after sowing did not reliably predict subsequent vegetative performance. On the selected Cavnic soil, establishment was lower in the field than under controlled conditions, whereas plants that established in situ attained greater final size. Within the seven selected field-grown plants, root-associated concentrations exceeded aboveground concentrations for Cu, Zn, Pb, and Mn. The results show that multi-soil laboratory screening and field assessment capture complementary biological components of plant performance. Full article

The uniformity of maize plant spacing serves as a critical indicator for assessing sowing quality, seed vigor, and field seedling emergence stability. However, manual measurement is inefficient, and complex field conditions make automatic seedling detection and plant spacing measurement challenging. Aiming at the challenges of missed detection, insufficient accuracy for small targets, and large errors in plant spacing calculation under complex field conditions, this study constructs a high-quality dataset containing 693 maize seedling images and implements preprocessing enhancement for images degraded by haze or dust. An intelligent maize seedling detection and plant spacing measurement method based on improved YOLOv8 is proposed. The Global Attention Mechanism (GAM) is embedded into the backbone network to strengthen cross-dimension information interaction between channels and spaces, suppress background interference, and reduce the missed detection rate. The Bi-directional Feature Pyramid Network (BiFPN) is adopted to replace the original PAFPN for enhanced multi-scale feature fusion and deep semantic representation. A new 160 × 160 high-resolution small-object detection layer is added to significantly improve the detection performance of weak and small seedlings. Experimental results demonstrate that the improved model achieves a precision, recall, mAP50, and mAP50-95 of 89.4%, 90.3%, 94.4%, and 49.4%, respectively, which are 2.6, 0.5, 1.5, and 2.7 percentage points higher than those of the original YOLOv8 model. These results indicate that the proposed model improved maize seedling detection performance under complex field conditions. Automatic plant spacing calculation is realized based on detection outputs; the average plant spacing of the dataset is 30.42 cm, with a relative error of only 4.93% compared with the preset sowing spacing of 32 cm. The proposed method can efficiently accomplish field seedling identification, plant spacing quantification, and sowing quality evaluation, providing reliable technical support for precision maize sowing, seeder parameter optimization, and intelligent field management, which is of great significance for promoting the intelligent upgrading of grain crop production. Full article

Accurate estimation of canopy water content (OWC) is essential for precision irrigation, crop growth monitoring, and yield prediction. Unmanned aerial vehicle (UAV)-based multispectral remote sensing provides a rapid and non-destructive approach for monitoring crop water status; however, the selection of effective spectral features and appropriate machine learning algorithms for robust OWC estimation remains insufficiently investigated, particularly across multiple growing seasons. This study evaluated the potential of UAV multispectral imagery for estimating oilseed rape canopy water content using two feature selection strategies and four representative machine learning algorithms. Field experiments were conducted during two consecutive growing seasons (2023–2024 and 2024–2025). Different sowing dates, nitrogen application rates, and planting densities were used to create a broad range of canopy water conditions. UAV multispectral images were acquired at ten representative growth stages during the reproductive period, from stem elongation to physiological maturity. Fourteen vegetation indices (VIs) were extracted from the multispectral imagery. Pearson correlation analysis and principal component analysis (PCA) were used to select informative features. These features were then used to develop multiple linear regression (MLR), partial least squares (PLS), support vector machine (SVM), and random forest (RF) models. Model performance was evaluated using each single-year dataset and the combined two-year dataset to assess robustness under different seasonal conditions. The RF model consistently achieved the highest prediction accuracy. The correlation-based RF model developed from the combined two-year dataset produced the best performance. It achieved an R² of 0.966, an RMSE of 1.734%, and an RRMSE of 2.360% for the training dataset. For the independent testing dataset, the corresponding values were 0.901, 2.794%, and 3.830%, respectively. The PCA-based models showed similar performance and effectively reduced feature redundancy. However, they did not consistently outperform the correlation-based models. These results indicate that combining UAV multispectral imagery with appropriate feature selection and machine learning algorithms can accurately estimate oilseed rape canopy water content under field conditions. Integrating data from multiple growing seasons further improves model robustness and provides a practical basis for UAV-assisted crop water monitoring and precision agricultural management. Full article

Reliable establishment of direct-seeded onion requires coordinated control of sowing geometry, nutrient supply, crop protection, and resource use. This study combined Hartley-4 optimization of a four-section, multi-row ridge seeder with a two-year randomized complete block experiment comprising ten fertilization × crop-protection treatments. Engineering tests at 5.2, 6.4, and 7.6 km h⁻¹ identified a central operating setting at 6.4 km h⁻¹ that maintained a sowing depth of 1.5–2.0 cm and depth variability below 0.5 cm. In field plots, chemical protection with vermicompost produced the highest mean total yield (25.54 t ha⁻¹), whereas chemical split NPK maximized marketable and standard yields. Biological split NPK showed the greatest two-season yield retention (0.780), although biological protection was associated with higher downy mildew severity. The biological biocomplex treatment ranked highest under the author-defined EIQ-adjusted resource-efficiency screening index, but sensitivity analysis showed that intermediate rankings depended on aggregation assumptions. The optimized design provides manufacturers with validated parameter ranges and gives users a constant-speed platform for comparing crop-management programs. Future research should test the seeder across contrasting soil textures and speeds and directly measure field capacity, fuel use, and long-term agronomic performance. Full article

To address the core breeding demand for greater seedling vigor in bread wheat (Triticum aestivum L.) varieties adapted to the uniform sowing system in China’s Huang-Huai Wheat Region, we aimed to dissect the genetic architecture and identify core candidate genes for shoot length (SL) and root length (RL) at the germination stage. A natural population consisting of 204 wheat accessions was genotyped using the 660K SNP array, and a genome-wide association study (GWAS) integrated with transcriptomic, metabolomic, and proteomic analyses of extreme phenotypic accessions was performed. Both SL and RL were typical quantitative traits with an extremely significant positive correlation. A total of 111 and 176 significant SNPs were associated with SL and RL, respectively, including 56 shared loci. Glutathione metabolism was identified as the conserved core pathway for both tissues, while photosynthesis–antenna proteins and phenylpropanoid biosynthesis were identified as tissue-specific pathways in shoots and roots, respectively. Finally, we identified 7 core candidate genes for SL and 13 for RL, including three pleiotropic genes regulating both traits. This study provides valuable genetic resources and key targets for the molecular breeding of wheat varieties specialized for uniform sowing. Full article

The Loess Plateau is a typical dryland agricultural region where water scarcity constrains crop production. Plastic film mulching is widely used to mitigate this limitation, but its long-term application has caused soil degradation and environmental pollution, highlighting the need for sustainable alternatives. This study evaluated the effects of post-wheat sequential green manure cropping—common vetch (CV) and winter rape (CR)—on soil water balance, potato yield, water use efficiency (WUE), and economic returns within a winter wheat-potato rotation system. A field experiment (2019–2023) was conducted on the Loess Plateau, comparing CV, CR, plastic film mulching (PM), and no mulching (NM). Soil water content (0–200 cm), evapotranspiration (ET), tuber yield, WUE, and economic performance were measured. Although CV and CR depleted soil water in the 0–100 cm layer during their growth, subsequent fallow precipitation (86 mm) and low soil water loss replenished the deficit, resulting in comparable soil water storage at potato sowing among CV, CR, and NM (518.8, 508.8, and 518.9 mm, respectively). Over the full rotation cycle, a positive soil water balance (63.1–147.5 mm) was maintained across all treatments, indicating no detectable net depletion within the measured 0–200 cm profile over the four potato seasons. Potato tuber yield increased by 61.7% (CV), 52.4% (CR), and 74.8% (PM) relative to NM. The WUE of CV (73.5 kg ha⁻¹ mm⁻¹) and CR (71.5 kg ha⁻¹ mm⁻¹) was comparable to that of PM (74.2 kg ha⁻¹ mm⁻¹) and significantly higher than that of NM (46.1 kg ha⁻¹ mm⁻¹). Net incomes under CV and CR did not differ significantly from PM, while their input costs were lower. Collectively, the integrated system combining post-wheat sequential green manure cropping—particularly with common vetch—and straw mulching represents a technically feasible, economically viable, and environmentally beneficial alternative to plastic film mulching, contributing to sustainable dryland agriculture on the Loess Plateau and analogous semi-arid regions. Full article

This study aimed to investigate the effects of different nitrogen (N) fertilizer rates and sowing dates on grain yield, protein content, grain N uptake, and nitrogen recovery efficiency (NRE) in spring and facultative wheat (Triticum aestivum L.) cultivated in northwestern and central Romania from 2018 to 2020. The experiment was designed as a split–split plot study with two spring sowing dates (SDs): an optimal date (1–15 March) and a delayed date (postponed by two weeks). All treatments received a basal autumn fertilizer supplying 36 kg N ha⁻¹ and 92 kg P ha⁻¹. In spring, three N treatments were evaluated: no additional N (N₃₆), 72 kg N ha⁻¹ (N₁₀₈), and 105 kg N ha⁻¹ (N₁₄₁), with the supplementary N top-dressed at the booting stage. The results showed that delayed sowing significantly altered grain N uptake dynamics and reduced NRE, even under standard fertilization regimes. Specifically, delayed sowing reduced grain yield by 7.52% to 28.39% compared to optimal sowing, while adverse climatic interactions in delayed setups reduced the mean NRE to as low as 16.43%. These findings indicate that conventional N application strategies may be suboptimal under variable sowing conditions and highlight the importance of adaptive N management to improve both agronomic performance and environmental sustainability. Full article

The mutualistic association between plants and their seed-associated microbiota has emerged as a key determinant of crop productivity, influencing plant nutrition, immunity, and tolerance to abiotic stress. Seed biopriming, the controlled application of beneficial microorganisms to seeds before sowing, exploits this interaction to enhance germination, seedling establishment, and stress resilience. Unlike conventional chemical priming, seed biopriming induces coordinated molecular reprogramming through changes in the seed metabolome, proteome, and epigenome. This review synthesizes current evidence demonstrating that seed biopriming promotes the accumulation of osmoprotectants, strengthens antioxidant defenses, enhances secondary metabolism, and generates priming-specific proteomic responses. We further examine how these changes interact with phytohormonal signaling networks and epigenetic mechanisms, including DNA methylation, histone modification, and small RNA-mediated regulation, to establish stress memory and improve plant adaptation. The review also discusses recent advances in synthetic microbial communities and nanobiotechnology for improving inoculant stability and efficacy. Despite promising progress, large-scale application remains constrained by inconsistent field performance, formulation stability, and regulatory challenges. Finally, we highlight the integration of multi-omics and artificial intelligence as promising approaches to improve mechanistic understanding, optimize microbial selection, and accelerate the development of reliable seed biopriming strategies for sustainable agriculture under climate change. Full article

Root foraging efficiency under low-phosphorus (P) conditions is a critical constraint for the sustainable development of artificial grasslands. However, the mechanisms by which legume–grass mixtures with complementary deep and shallow root systems regulate soil P availability remain unclear. Based on the hypothesis that root niche differentiation drives stratified soil P utilization, a two-year pot experiment was conducted on these intercropped forages with chernozem soil from 77th Regiment, Zhaosu, Yili, Xinjiang, China. The experiment included monocultures and two mixed-sowing combinations (Medicago sativa/Bromus inermis (AB) and Trifolium pratense/Bromus inermis (CB)) with two sowing patterns (intra-row and inter-row mixed sowing). The results indicated the following: (1) Relative to the CB–intra-treatment, the AB combination increased aboveground and belowground biomass by 39.2% and 138.5%, respectively, and enhanced phosphorus accumulation by 42.2% (inter-row) and 46.7% (intra-row). The land equivalent ratio (LER) of all mixed-sowing treatments was greater than 1, exhibiting stable overyielding performance. (2) Mixed-sowing significantly regulated vertical soil P distribution and rhizosphere P enrichment. The AB combination exhibited significantly superior root phenotypes, associated with deep rhizosphere P content, suggesting a differentiated soil-layer P capture pattern relative to the CB combination. (3) Root volume was the primary factor influencing P use efficiency (PUE), and the mixed-sowing system exhibited a pronounced stratified regulation characteristic: in topsoil, PUE appeared to be synergistically regulated by roots and rhizosphere P; in subsoil, PUE relied primarily on root volume to alleviate low-P stress, achieving efficient deep P utilization. (4) This study proposed a potential topsoil rhizosphere P supplementation threshold range of 4.47–4.899 mg·kg⁻¹. Mixed-sowing forage grasses achieved stratified P utilization in deep and shallow soil layers through root niche differentiation, offering potential quantitative references and practical guidance for efficient establishment and sustainable P management of artificial grasslands in low-P habitats. Full article

Optimizing farrowing management is crucial in swine production, yet the combined effects of induction protocols and stimulants on the sow remain poorly understood. This study evaluated the effects of farrowing induction using cloprostenol as a single dose (full dose) or split dose, with or without caffeine administration, on the performance, behavior, and hormonal concentrations of primiparous (n = 25) and multiparous (n = 25) sows. Sows were assigned to five treatments: Control (n = 10), PGF2α Full Dose (175 μg) (n = 10), PGF2α Split Dose (87.5 + 87.5 μg) (n = 10), PGF2α Full Dose + Caffeine (420 mg) (n = 10), and PGF2α Split Dose + Caffeine (420 mg) (n = 10). The PGF2α Split Dose and PGF2α Split Dose + Caffeine treatments significantly reduced farrowing duration by up to 100 min in primiparous sows (122.40 ± 82.24 and 136.00 ± 38.33 min, respectively; p = 0.002), and in multiparous sows by up to 76 min (134.80 ± 73.84 and 158.00 ± 44.82 min, respectively; p < 0.05), compared to the Control and PGF2α Full Dose groups. Furthermore, the PGF2α Split Dose induction method lowered the frequency of stress-related behaviors (0.01 and 0.08 for PGF2α SD, and 0.03 and 0.08 for PGF2α SD + Caffeine, for gilts and sows respectively), with sows showing fewer posture changes and maintaining more stable resting positions, particularly the lying lateral posture (0.86 for PGF2α SD and 0.96 for PGF2α SD + Caffeine). Cortisol levels varied by parity, with multiparous sows showing higher prepartum and intrapartum levels, while primiparous sows peaked twelve hours postpartum; estradiol levels remained unaffected by treatments. In conclusion, inducing farrowing with a split-dose prostaglandin protocol is highly efficient, and the addition of caffeine further enhances farrowing performance while significantly improving behavioral welfare by reducing standing postures associated with discomfort in both primiparous and multiparous sows. Full article

This study evaluates the environmental sustainability of conventional and organic rice production systems in Nakorn Nayok province, Thailand, focusing on the Khao Dawk Mali 105 variety. Limited studies have evaluated comparative production systems, alternative water management scenarios, and uncertainty in rice life cycle assessment (LCA) under tropical smallholder conditions. A cradle-to-farm gate LCA was conducted under water-sowing continuous flooding (WSF), with 1 kg paddy rice as the functional unit and the ReCiPe 2016 midpoint (H) method. The results showed that organic systems under flooding exhibit higher global warming potential (GWP) than conventional systems, primarily due to methane emissions, which contributed over 83% of the total GWP. The relatively high GWP values compared with previous studies are associated with continuous flooding conditions, methodological assumptions based on IPCC default emission factors, and lower yield in the studied systems. Uncertainty analysis suggests that organic WSF had higher environmental impacts in 8 out of 18 midpoint categories, while sensitivity analysis highlights the importance of water management. Alternative practices, including dry-sowing delayed flooding (DSF) and saturated soil (ST), can reduce the GWP by 39–57% and water consumption by 8–18%, highlighting the importance of water management as an effective strategy for improving environmental sustainability in rice production systems. Sensitivity and multivariate analyses suggest that resource use and water management are key drivers of environmental impacts. Overall, the findings demonstrate that water management and yield are key factors influencing environmental performance in rice production systems and provide insight for improving sustainability under tropical agricultural conditions. Full article

The placement of lactating sows in farrowing crates restricts movement and may limit the expression of species-specific behaviour. This study investigated physiological and behavioural responses of sows in loose-housed farrowing systems with temporary confinement. Seventy-one Landrace sows were temporarily confined in farrowing crates from entry into the farrowing unit until day 4 postpartum (p.p.), after which the crates were opened to allow greater freedom of movement. Saliva samples were collected twice daily on days 3, 5, 9, and 10 p.p. The Towel Test (TT) was performed on days 4 and 10 p.p. to assess behavioural responses to a novel stimulus. Cortisol concentrations differed significantly between sampling days, with higher concentrations on day 5 p.p. compared with days 3, 9, and 10 p.p. As this increase occurred after crate opening and declined thereafter, it suggests a transient physiological response to the change in housing conditions. Primiparous sows showed higher cortisol concentrations than multiparous sows. Behavioural responses in the TT were not significantly associated with cortisol concentrations, although higher TT scores were accompanied by numerically higher cortisol concentrations. These findings indicate that salivary cortisol is sensitive to short-term management-related changes, whereas behavioural responses provide additional information on individual variation. Combining physiological and behavioural indicators may improve welfare assessment in loose-farrowing systems. Full article

To address issues such as plastic film residue and poor seed depth stability during cotton sowing operations in Xinjiang, a new type of no-till cotton seeder has been proposed and designed. The seeder is mainly composed of a rotary tillage device, a furrow opener and fertilizing device, a sowing mechanism, a compaction mechanism, and mechanical transmission parts. The structure and working principle of the cotton seeder are expounded on; the key parts, such as the rotary tillage mechanism, furrow opener, and compaction system are analyzed; and the key factors of the best size of each part are determined. The single-factor simulation design was carried out using the EDEM discrete element simulation technology, with the machine’s forward speed, rotary tillage speed, furrow opening depth, and compaction depth as the test conditions and the sowing quality as the evaluation standard. The corresponding mechanical model was established and determined the optimal combination of simulation parameters. To evaluate the performance of the cotton no-tillage seeder, field tests were conducted on its rotary tillage, tape laying, and seed press performance. The field experiment’s results indicate that under the optimal simulated parameter combination, the actual planting depth was approximately 28 mm with a coefficient of variation of 12.26%, achieving a compliance rate of 93.3%; the average planting spacing was 64.05 mm with a coefficient of variation of 12.46%; the soil disturbance rate was 32.9%; the germination rate was 96%; and the seed drying rate was below 2%. These results comply with industry standards and agronomic requirements, providing technical support for ensuring the quality of no-till cotton cultivation. Full article

Whey–quercetin-loaded microspheres were synthesized using the solid/organic phase/water phase (S/O/W) method, whereas nanocapsules were prepared by interfacial polymerization. The resulting systems noted that Q1, Q2, and Q3 were characterized by polarized light microscopy (PLM), scanning electron microscopy (SEM), atomic force microscopy (AFM), Fourier transform infrared (FTIR) spectroscopy, X-ray diffraction (XRD), differential scanning calorimetry (DSC), high-performance liquid chromatography (HPLC), and antioxidant activity assays. Structural and spectroscopic analyses confirmed the successful encapsulation of whey and quercetin within both microsphere and nanocapsule systems. Q2 exhibited the highest encapsulation efficiency (51.79 ± 1.03%) and loading capacity (5.78 ± 0.71%), demonstrating its superior quercetin encapsulation performance. However, measurable antioxidant activity was detected exclusively in the nanocapsule formulations, whereas microspheres showed no detectable activity under the experimental conditions. Although the antioxidant activity of encapsulated quercetin was lower than that of free quercetin, the nanocapsules retained a radical-scavenging capacity, supporting their potential as effective delivery systems. Full article

Mycotoxin contamination of cereal-based pig feeds is a persistent threat to swine health and global pork safety. Pigs are uniquely susceptible to mycotoxicosis, and the principal toxins—aflatoxins (AFs), deoxynivalenol (DON), zearalenone (ZEN), fumonisins (FUMs), and ochratoxin A (OTA)—cause impaired growth, reproductive failure, hepato- and nephrotoxicity, immunosuppression, and carry-over residues in edible tissue. Anti-mycotoxin feed additives, including mineral adsorbents, biotransforming agents, and multicomponent mycotoxin-detoxifying agents (MMDAs) combining clays, phytogenic antioxidants (curcumin, silymarin), and postbiotics (yeast cell wall, hydrolyzed yeast), constitute the primary mitigation strategy. Beyond animal health, these agents play underappreciated roles in both the circular economy (CE)—enabling safe valorization of by-product feed ingredients and reducing feed waste—and in the life cycle assessment (LCA) sustainability profile of pork production, where feed conversion ratio (FCR) drives 22–95% of greenhouse gas emissions. Field-based in vivo studies in sows and weaned piglets, integrating plasma oxidative stress biomarkers (TBARS, protein carbonyls, total antioxidant capacity) with performance and reproductive endpoints, provide the most comprehensive real-world evidence for MMDA efficacy to date. This review synthesizes mycotoxin toxicology, anti-mycotoxin agent mechanisms, clinical evidence, and the CE/LCA sustainability framework, proposing integrated mycotoxin management as a One Health imperative in modern swine production. Full article