Search Results (1,792)

The concentrations of trace elements (Cd, Pb, Cu, Cr, Ni, Co, and Mn) and physicochemical parameters of eight types of edible vegetable oils (obtained from a local market in Romania) were determined using graphite furnace atomic absorption spectrometry (GF-AAS) and Association of Official Analytical Chemists (AOAC) standard methods. The values of the physicochemical parameters show that most of the oils analyzed were within the limits established by the Codex Standards for Edible Oils, with a few exceptions (walnut oil acidity 2.080 mg/g; iodine value 72.7 g/100 g). The concentration of metals such as Cr, Ni, Co, Mn, and Cd were found to be within acceptable limits set by FAO/OMS (2002) in the edible vegetable oils, except for Cu (blend oil 0.627 mg/kg; organic extra virgin oil 0.312 mg/kg) and Pb (rice oil 0.217 mg/kg). The results obtained after health risk assessments and incremental lifetime cancer risk calculations showed that their values do not pose a health hazard, but continuous monitoring can provide data on the quality of edible vegetable oils for local consumers. A statistical test at the 0.1 probability level (p < 0.1) was used to determine the degree of association between pairs of the variables. The data corresponding to the correlation coefficients for physicochemical parameters and different metals show significant and insignificant positive/negative correlations. Full article

The brown rice rate (BRR), milled rice rate (MRR), and head rice rate (HRR) are important indicators of rice milling quality. The simultaneous detection of these three metrics holds significant economic value for rice milling quality assessments. In this study, hyperspectral imaging was employed to estimate the rice milling quality attributes of two rice varieties (Xiushui121 and Zhehujing26). Partial Least Squares Regression (PLSR), Support Vector Regression (SVR), Convolutional Neural Networks (CNNs), and Backpropagation Neural Networks (BPNNs) were used to establish both single-task and multi-task models for the prediction of milling quality attributes. Most multi-task models demonstrated a higher prediction accuracy compared with their corresponding single-task models. Among single-task models, BPNNs outperformed the others in predicting BRR and HRR, with correlation coefficients (r) up to 0.9. SVR excelled in forecasting the MRR. In multi-task learning, BPNNs exhibited relatively better performance, with r values exceeding 0.81 for all three indicators. SHapley Additive exPlanations (SHAP) analysis was used to explore the relationship between wavelength and rice milling quality attributes. This study confirmed that this nondestructive detection method for rice milling quality using hyperspectral imaging combined with machine learning and deep learning algorithms could effectively assess rice milling quality, thus contributing to breeding and growth management in the industry. Full article

Rice false smut (RFS), caused by Ustilaginoidea virens (teleomorph: Villosiclava virens), is a devastating fungal disease that severely impacts global rice production by reducing both yield and grain quality. While the mating-type gene UvMAT1-1-3 is known to regulate both sexual and asexual reproduction in U. virens, its regulatory mechanism remains unclear. In this study, an interacting protein of UvMAT1-1-3, a putative O-methyltransferase (UvPomt), was identified using yeast two-hybrid screening, and its interaction was further confirmed by co-localization microscopy. A quantitative reverse transcription PCR (qRT-PCR) analysis showed a significant up-regulation of UvPomt expression during the early infection stage of U. virens. Functional characterization revealed that ΔUvPomt mutants exhibited reduced fungal pathogenicity, vegetative growth, conidial production, and stress adaptation. Furthermore, a Western blot analysis revealed that the UvMAT1-1-3 protein level was reduced in ΔUvPomt mutants, whereas the UvPomt protein level was elevated in ΔUvMAT1-1-3 mutants. Taken together, these findings suggest a potential reciprocal regulation between UvPomt and UvMAT1-1-3. Understanding UvPomt’s function could provide a potential molecular target for controlling RFS disease. Full article

Non-point source (NPS) pollution from agriculture accounts for more than 20% of the total pollution load in the Republic of Korea, with the highest nutrient balance among OECD countries. Rice paddy fields are among the most important NPSs because of their large area, intensive fertilizer use, intensive use of irrigation water, and subsequent drainage. Therefore, the use of controlled drainage in paddy fields (Test) was evaluated for reduction in the discharged volumes and pollutant loads in drainage and stormwater runoff in comparison to plots using traditional drainages (Control). The results show that the loads were highly variable and that the reductions in the annual load of biochemical oxygen demand (BOD), suspended solid (SS), total nitrogen (T-N), total phosphorus (T-P), and total organic carbon (TOC) in the Test compared to that of the Control were 31.0 ± 28.9%, 83.5 ± 11.8%, 65.4 ± 12.2%, 69.1 ± 21.7%, and 64.9 ± 12.9%, respectively. It was shown that discharge in the post-harrowing and transplanting drainage (HD) was predominantly responsible for the total loads; therefore, the load reduction in HD was evaluated further at additional sites. The reduction at all studied sites was highly variable and as follows: 30.0 ± 33.6%, 70.9 ± 24.6%, 32.2 ± 45.5%, 45.7 ± 37.0%, and 27.0 ± 71.5%, for BOD, SS, T-N, T-P, and TOC, respectively. It was also demonstrated that controlled drainage contributed significantly to reducing the loads and volume of stormwater runoff from paddy fields. Correlations between paddy field conditions and multiple regression showed that the loads were significantly related to paddy water quality. The results of this study strongly suggest that controlled drainage is an excellent alternative for reducing the discharge of NPS pollutants from paddy fields. It is also suggested that the best discharge control would be achieved by combinations of various discharge mitigation alternatives, such as the management of irrigation, drainage, and fertilization, as well as drainage treatment, supported by more field tests, identification of the fates of pollutants, effects of rainfall, and climate changes. Full article

Organic fertilizer replacing a portion of chemical fertilizers is a key strategy for improving grain qualities and economic benefits. Fragrant rice, favored by consumers for its superior quality and rich aroma, has garnered significant attention. However, there is little information on the effect of organic fertilizer replacing a portion of chemical fertilizers on the grain yield and 2-AP of fragrant rice. Taking Meixiangzhan2 and Qingxiangyou19 as experimental materials, five different experimental treatments were designed: all urea (T1), 33.3% organic fertilizer substitution for urea (T2), 66.7% organic fertilizer substitution for urea (T3), all organic fertilizer (T4), and no fertilizer as a control (CK). The results showed that the T2 treatment could significantly increase the grain yield of Meixiangzhan2 to 62.50 g·pot⁻¹ and Qingxiangyou19 to 67.88 g·pot⁻¹ due to the increase of 27.90% and 26.03% over T1, and 72.18% and 59.45% over CK, respectively. Compared with T1, the T2 treatment could markedly enhance the 2-AP content in Meixiangzhan2 (418.01 μg kg⁻¹, up by 7.70%) and Qingxiangyou19 (378.53 μg kg⁻¹, up by 9.12%). Relative to CK, the aroma content of these two varieties under the T2 treatment rose by 22.05% and 31.04%, respectively. The main reasons were due to the increase in pyrroline-5-carboxylic acid, 1-pyrroline, proline dehydrogenase, and pyrroline-5-carboxylate synthase. The dry matter accumulation, leaf area, and photosynthetic rate of Meixiangzhan2 and Qingxiangyou19 were also significantly increased, and the activities of nitrate reductase and glutamine synthetase were also significantly improved. Moreover, the activities of peroxidase and catalase in rice sword leaves were remarkably improved, and the content of malondialdehyde was significantly decreased. The results showed that 33.3% of organic fertilizer instead of chemical fertilizer had the positive effect of increasing the grain yield and improving the aroma of rice, which was worth further popularization and application. Full article

Rice is an important crop that significantly contributes to food security. Lodging is considered an important factor limiting rice yield and quality. The objective of this study was to investigate the effects of carbon and nitrogen on lodging in fragrant rice. A 2-year field experiment (2021 to 2022) was conducted with the fragrant rice cultivars Meixiangzhan 2 and Xiangyaxiangzhan grown under nine carbon and nitrogen co-application treatments (CK: 0 mg/L glucose + 0 mg/L urea; T1: 0 mg/L glucose + 50 mg/L urea; T2: 0 mg/L glucose + 100 mg/L urea; T3: 150 mg/L glucose + 0 mg/L urea; T4: 150 mg/L glucose + 50 mg/L urea; T5: 150 mg/L glucose + 100 mg/L urea; T6: 300 mg/L glucose + 0 mg/L urea; T7: 300 mg/L glucose + 50 mg/L urea; and T8: 300 mg/L glucose + 100 mg/L urea). The lodging index and stem characteristics of fragrant rice were investigated. Compared with the CK treatment, the T5 and T7 treatments significantly increased the pushing resistance force by 22.22–127.78% and 50.00–77.50%, respectively. Compared with the other fertilization treatments, the T5 treatment kept the lodging index at a low level and reduced the plant height. The stem characteristics were regulated under the carbon and nitrogen co-application treatments, and the internode length and dry weight significantly influenced the plant height and the pushing resistance force and then regulated the lodging index. Structural equation modeling and random forest modeling analyses suggest that carbon and nitrogen co-application treatments may further improve the resistance of rice to lodging by increasing the dry weight of the third and fourth internodes. Overall, optimized carbon and nitrogen co-application could regulate stem internode morphology and improved lodging resistance. Furthermore, the T5 treatment (150 mg/L glucose + 100 mg/L urea) improved lodging resistance. This study provides guidelines for enhancing lodging resistance by regulating internode characteristics via the co-application of carbon and nitrogen at the booting stage in fragrant rice. Full article

The head rice rate, defined as the proportion of milled grains retaining at least three-quarters of their original length, has become a limiting factor that restricts the improvement of rice quality in China in recent years. Here, we characterized the role of ETHYLENE RESPONSIVE FACTOR34 (OsERF34), an APETALA2 (AP2/ERF) family TF, in the grain morphology, physiochemical properties, and processing quality of rice. Through CRISPR/Cas9-mediated knockout (Oserf34) and overexpression (OsERF34-OE) in the japonica cultivar ZH11, we demonstrate that OsERF34 exerts dose-dependent effects on grain morphology and processing traits. Oserf34 mutants exhibited significantly elevated chalkiness levels, with a 52.0% increase in percentage of grains with chalkiness(PGWC) and a 65.4% enhancement in chalkiness degree, with disordered and enlarged starch granules, reduced amylose content and skewed chain-length distribution (A/B1 chains increased but B2/B3 chains decreased), and displayed heightened starch solubility and swelling power but diminished milling resistance (shear hardness having fallen by 12.7–16.1% and compression hardness having fallen by 11.2–16.4%), culminating in doubled breakage rates and lower head rice rate (decreased by 6.7–9.0%) during processing. Strikingly, both mutants and OE lines showed analogous grain narrowing, yet the processing quality diverged. Mutants suffered structural fragility, while the OE lines enhanced mechanical robustness (compression hardness increased by 11.4–12.1%). The OsERF34-OE lines achieved 6.5–7.1% higher head rice rates. Our work positions OsERF34 as a dual-function regulator that governs grain morphology, regulating appearance and processing quality. These insights suggest that an overexpression of OsERF34 could improve processing efficiency, potentially laying a foundation for precision breeding. Full article

This study investigated the impact of the response mechanism of tillage construction on paddy yield in black soil fields by adopting four mechanical tillage techniques, namely, rotary tillage (RT), shallow plowing (SP), deep plowing (DP), and culvert pipe drainage (CD), to solve the problems associated with the reduction in the effective tillage layer in black soil paddy fields, as well as the poor quality and low yield of paddy rice. The results showed that SP, DP, and CD techniques were able to increase the rice yield and improve the effective tillage layer of the soil and the soil structure. Among them, DP had the most obvious effect, compared with traditional RT; the fast-acting N was 37.27 mg/kg higher in the 20–30 cm soil layer, and the soil solid phase decreased by 1.86–3.90% in the soil tripartite ratio. The soil bulk density of DP in the 10–20 cm soil layer decreased by 0.08 g/cm³, and, in the 20–30 cm soil layer, it decreased by 0.03 g/cm³. These physicochemical properties promoted the development and growth of roots and increased the growth of the root system by 6.53–16.33%, with the yield also increased by up to 9.81%. The CD technique could improve paddy field drainage and increase crop yields. This study combines four mechanical tillage techniques and proposes a mechanism of tillage construction from soil structure improvement to soil physicochemical property enhancement, and then to root system and yield enhancement. This mechanism may help to guide the implementation of mechanical tillage methods in paddy fields, which will provide important insights for future agricultural practices. Full article

Rice milling in Sub-Saharan Africa (SSA) remains highly dependent on water availability and favorable weather conditions, making local millers vulnerable to water- and weather-related pressures (WWrP). This study examines how rice millers in Makurdi and Adikpo, Benue State, Nigeria, adapt to these pressures. Data were collected through snowball sampling involving 21 rice millers and two workshops attended by 14 millers. Content and thematic analyses of data were carried out using NVivo 11. Findings indicate that rice milling operations are highly exposed and sensitive to flooding, excessive wetness, dryness, high humidity, and water scarcity. These pressures are likely to intensify due to climate change and pronounced climate variability. To adapt, millers employ endogenous strategies, including temporarily relocating or evacuating mills, rotating drying schedules, modifying drying methods, reducing or suspending parboiling during floods, and digging wells. In spite of these adaptation measures, locally milled rice continues to face issues of poor quality and diminished competitiveness. Consequently, this study highlights upgrading milling technologies and infrastructure, promoting proactive and long-term adaptation measures, and supporting collective adaptation strategies among millers to enhance resilience in the rice value chain. Full article

The anther culture-based breeding of rice is a plant tissue culture technique that utilizes rice pollen to rapidly obtain haploid plants. In comparison with traditional breeding methods, this technique shortens the breeding cycle and enables the quick generation of homozygous plants, which is of great significance for the development of new rice varieties and the expansion of germplasm resources. With the advancement of technologies, the use of the anther culture technique in rice breeding has matured and has been applied to the development and utilization of new varieties with high yield, multiple resistances, and superior quality, in combination with other breeding methods. This technique has gained widespread attention globally, with many countries adopting it to create new germplasm resources. This study reviews advances in the rice anther culture technique, the factors influencing anther culture efficiency, and the progress in breeding rice varieties using this technique, as well as analyzes the current challenges and future prospects of anther culture breeding. Full article

The quality of rice is closely related to its planting mode. The rice produced in rice–crab co-cultivation fields often enjoy higher prices and consumption enthusiasm than traditional rice due to the use of fewer chemical inputs, making it a key target of commercial fraud. In this study, multi-element, stable isotope, metabolite analysis techniques were synergistically applied with chemometric methods to distinguish between crab-field rice and common rice. Seven elements (Se, Rb, Cu, Cd, Ag, V, and Zn), two stable isotopes (δ¹⁵N and δ¹³C), and nine metabolites were identified as the most important discriminant variables. The discriminant analysis model based on seven elements and two stable isotopes, or based on nine metabolites, can completely distinguish between crab-field rice and conventional rice. The isotope, elemental, and metabolic fingerprint spectra selected in this study provide effective support for the authenticity identification of crab-field rice. Full article

Soil microbes play a vital role in tidal flat ecosystems but are highly susceptible to disturbances from land reclamation. This study investigated the dynamics of bacterial communities and their environmental drivers across a 50-year reclamation chronosequence under three vegetation types (bare flats, reed beds, and rice fields). The results showed that, after 50 years of reclamation, total dissolved salts decreased significantly in vegetated zones, particularly in rice fields, where Cl⁻ dropped by 54.71% and nutrients (SOC, TN, TP) increased substantially. Key ions, including HCO₃⁻, Cl⁻, and K⁺, were the primary drivers of microbial community structure, exerting more influence than total salinity (TDS) or pH. Bacterial abundance and diversity increased over time, with rice fields showing the highest values after 50 years. Actinobacteriota and Proteobacteria were positively correlated with HCO₃⁻ and K⁺, while Cl⁻ negatively affected Acidobacteriota. Genus-level analyses revealed that specific taxa, such as Sphingomonas and Gaiella, exhibited ion responses diverging from broader phylum-level patterns, exemplifying niche-specific adaptations to salinity regimes. These findings underscore the pivotal role of vegetation type and individual salinity ions in driving microbial succession during tidal flat reclamation. A phased vegetation strategy, starting with reed colonization and followed by rice cultivation, can enhance soil quality and microbial diversity. This research provides important insights for optimizing vegetation management and ion monitoring in sustainable tidal flat reclamation. Full article

The contamination of paddy soils with arsenic (As) and cadmium (Cd), coupled with the depletion of soil organic carbon (SOC), poses significant threats to rice yields and quality. There is an urgent need to identify a suitable soil additive capable of achieving simultaneous heavy metal remediation and promotion of organic matter enrichment. The current study introduced two novel iron (Fe)/magnesium (Mg)-based bimetal-oxide-modified rice straw biochar (RSB), namely RSB-Fe/Mn and RSB-Fe/Mg. It evaluated their effectiveness in As/Cd immobilization and SOC preservation. An 8-week cultivation experiment was carried out in sequential drying–flooding moisture fluctuation conditions, with the soil pore water As/Cd (PWAs/Cd) and SOC fractions monitored. The mechanisms of As/Cd immobilization were investigated using Fourier Transform Infrared Spectroscopy (FTIR), X-ray Diffraction (XRD), and X-ray Photoelectron Spectroscopy (XPS) characterizations. Results revealed that PWAs and PWCd were reduced by up to 67.1% and 80.2% during the drying period and by 27.0% and 76.5% during the flooding period, respectively. Additionally, SOC content increased by 16.3% and 33.9% with RSB-Fe/Mn addition during the drying and flooding period, respectively, with an increase in the mineral-associated organic carbon (MAOC) fraction. The study proves that RSB-Fe/Mn and RSB-Fe/Mg are effective for soil As/Cd passivation and SOC stabilization, offering a promising solution to mitigate As and Cd pollution in paddy soils while maintaining soil quality. Full article

Heavy metal pollution, particularly cadmium (Cd) contamination in water and farmland, might accumulate in natural insect enemies through the food chain. In response to this heavy metal stress, natural enemy insects adapt by altering their metabolism and behaviors. As a result, this investigation aimed to elucidate how the development, reproduction, and feeding of Harmonia axyridis Pallas (Coleoptera: Coccinellidae) are affected under Cd contamination. Compared to the control group, the developmental period of H. axyridis was prolonged, with decreased survival, predation, and body weights. Notably, adult insects exhibited deformation, including molting difficulties and wing deformities, which indicated reduced fitness. The ovarian development of female insects was delayed with reduced size, and the pre-oviposition period was prolonged under Cd contamination. Additionally, the hatching rate of offspring was significantly reduced. The Vitellogenin 1 (Vg1) and Vitellogenin 2 (Vg2) exhibited considerable changes throughout their developmental stages. Our results confirmed that the accumulation of Cd has a significant impact on the growth, development, and normal molting of H. axyridis, affecting the reproduction of H. axyridis. The aforementioned results provide valuable insights into the potential ecological effects of Cd accumulation on the food chain, which can inform strategies for pest control, ecosystem stabilization in rice fields, and potentially novel bioremediation approaches. Thereby establishing a theoretical foundation for pest control and ecosystem stabilization in rice fields under Cd contamination while simultaneously providing novel insights for bioremediation strategies. Full article

Accurate early-season crop classification is critical for food security, agricultural applications and policymaking. However, when classification is performed earlier, the available time-series data gradually become scarce. Existing methods mainly focus on enhancing the model’s ability to extract features from limited data to address this challenge, but the extracted critical phenological information remains insufficient. This study proposes a Cascade Learning Early Classification (CLEC) framework, which consists of two components: data preprocessing and a cascade learning model. Data preprocessing generates high-quality time-series data from the optical, radar and thermodynamic data in the early stages of crop growth. The cascade learning model integrates a prediction task and a classification task, which are interconnected through the cascade learning mechanism. First, the prediction task is performed to supplement more time-series data of the growing stage. Then, crop classification is carried out. Meanwhile, the cascade learning mechanism is used to iteratively optimize the prediction and classification results. To validate the effectiveness of CLEC, we conducted early-season classification experiments on soybean, corn and rice in Northeast China. The experimental results show that CLEC significantly improves crop classification accuracy compared to the five state-of-the-art models in the early stages of crop growth. Furthermore, under the premise of obtaining reliable results, CLEC advances the earliest identifiable timing, moving from the flowing to the third true leaf stage for soybean and from the flooding to the sowing stage for rice. Although the earliest identifiable timing for corn remains unchanged, its classification accuracy improved. Overall, CLEC offers new ideas for solving early-season classification challenges. Full article