Search Results (14,320)

Soybean is one of the most important crops worldwide, but its productivity is frequently challenged by abiotic stresses such as drought and heat, which impair physiological and metabolic processes. Biostimulants have emerged as sustainable tools to improve plant performance under adverse conditions. This study evaluated the effects of foliar application of a new biostimulant, “SB”, on soybean photosynthetic efficiency, antioxidant metabolism, biometric traits, and grain yield. SB was applied at different doses (0.5, 1.0, 1.5, and 2.0 L ha⁻¹) at the V₄ and R₁ growth stages during two seasons (2023/2024 and 2024/2025). Foliar SB application enhanced soybean leaf chlorophyll levels, RuBisCO activity, and gas exchange parameters, resulting in higher photosynthetic rates, carboxylation efficiency, and water use efficiency. In addition, foliar SB application reduced hydrogen peroxide and malondialdehyde accumulation, indicating lower oxidative damage and improved redox balance. These physiological and metabolic improvements contributed to greater root development and plant height and significant increases in yield components. Grain yield was consistently improved by all SB application rates, but the 1.5 L ha⁻¹ dose produced the most stable and positive effects across both seasons, with an average increase of more than 500 kg ha⁻¹ compared to the control. Overall, foliar SB application proved to be an efficient and promising management strategy to enhance soybean resilience and productivity under variable climatic conditions. Full article

Protein synthesis is a crucial biosynthetic process in all organisms, including plants. The integrity of the translational machinery, especially ribosomes, can be compromised during rapid cell division in ontogenesis or in response to environmental stress. In this study, Northern blotting was employed to analyze total RNA from various angiosperms, focusing on small 5′- and 3′-terminal 18S rRNA fragments. Stem-loop array RT-PCR was employed to map the cleavage sites within the target regions. Severe stress, such as extreme drought, induced the accumulation of three distinct 18S rRNA fragments across diverse angiosperm taxa, indicating that this phenomenon is likely universal. In rapidly dividing cells, such as those found in in vitro callus cultures and germinating wheat embryos, high levels of discrete 5′-terminal fragments were observed, while 3′-terminal fragments were absent. The stem-loop array RT-PCR mapping identified specific sites of 18S rRNA strand breaks. Structural annotation of the 3D model of the plant 40S subunit revealed spatial clustering of these sites in proximity to the RPS6 binding region. Notably, wheat cultivars that are tolerant to osmotic stress exhibited significantly higher levels of 18S rRNA fragmentation than sensitive cultivars. This suggests a regulatory mechanism rather than a mere byproduct of apoptotic-like regulated cell death. Additionally, fragmented ribosomes were gradually eliminated during embryo maturation, indicating a process of programmed functional ribophagy. Our findings suggest that a potential inability of plant tissues to selectively retain functional ribosomes might contribute to a decline in generative potential. Monitoring the integrity of the translational machinery could improve breeding efficiency and aid in preserving long-term stored germplasm. Full article

Agroforestry and perennial tree crop production systems, particularly in Mediterranean regions, exhibit a high degree of integration among trees, herbaceous, and soil components. They provide essential services including provisioning, regulation, support, and cultural services, which enhance human health, well-being, and economic stability. However, guaranteeing their long-term resilience in the face of environmental challenges, including drought and soil degradation, is essential for the sustainable management of these systems. We examine the impact of microsite conditions (soil and herbaceous layer) and their management on olive trees (Olea europaea L.) under varying levels of drought stress. A fully factorial design was implemented in a Spanish agroforestry system, combining two irrigation regimes (rainfed vs. summer irrigation) and two soil management practices (customary plowing vs. herbaceous layer conservation) across four independent and replicated zones. Twelve olive trees per zone were individually monitored, treating each tree as the experimental unit, with one 50 × 50 cm sampling plot per tree in which microsite conditions were characterized for each tree. Plowed areas (shallow tillage) showed lower industrial extraction yield (%), fat yield based on dry matter (%), olive maturity and phytosanitary status compared to areas conserving their herbaceous layer cover (0.81, 0.96, 0.92, and 0.65-fold lower, respectively). Rainfed areas (i.e., those without supplemental water supply) showed a reduction in both industrial extraction yield (%), olive yield (kg tree⁻¹) and oil yield (kg ha⁻¹) (0.77, 0.86 and 0.67-fold lower, respectively). Under combined tillage and water-deficit conditions, oil yield (kg ha⁻¹), industrial extraction yield (%), and total phenolic content (ppm) were considerably lower (0.50, 0.60, and 0.67-fold lower, respectively). Furthermore, low quality of the herbaceous layer dominated by nitrophilous invasive species were associated with decreased leaf nutrient content, lower industrial extraction yield, reduced olive maturity and poorer phytosanitary status of olives. These findings suggest that maintaining a spontaneous herbaceous layer with a high-quality species (legume incorporation) and well-managed herbaceous cover, i.e., repeated mowing of the herbaceous layer instead of customary plowing, can enhance sustainable olive production by improving soil resilience, reducing water stress, and optimizing nutrient use, thereby supporting long-term ecosystem stability and agricultural productivity. Full article

Brassica napus L. is a globally important crop and its productivity is constrained by multiple abiotic stresses (salinity, drought, and heat). Calcineurin B-like proteins (CBLs) act as calcium sensors and play key roles in regulating ion homeostasis and stress-responsive signaling pathways, thereby contributing to plant adaptation under unfavorable environmental conditions. Here, through detailed bioinformatics analyses, the BnCBL gene family has been identified along with its role in tolerance to multiple abiotic stresses. The identified 17 BnCBLs comprised four groups, as in Arabidopsis thaliana. The predicted molecular weights of the CBL proteins ranged from approximately 24.35 kDa (BnCBL3 and -9) to 29.7 kDa (BnCBL5), with protein lengths spanning 213 (BnCBL3, -9, -10, -12 and -15) to 260 amino acids (BnCBL5). Sequence, promoter, and structural analyses showed that BnCBL proteins harbor palmitoylation and myristoylation motifs in their EF-hand domains, contain hormone- and stress-responsive cis-elements, and exhibit characteristic post-translational modification sites and tertiary structures. RNA-seq and RT-qPCR expression analyses showed that several BnCBL genes (BnCBL2, -6, -9, -10, and -15) exhibit differential expression (3~6-fold) under NaCl, drought, and heat stresses, as well as in response to phytohormones (IAA, GA₃, ABA, and JA). In addition, BnCBL2, -3, -6, -8, -9, -11, -12 and -16 showed significant expression (around 7-fold) against biotic stresses (Sclerotinia sclerotiorum (Lib.) de Bary and Plasmodiophora brassicae (Woronin, 1877), indicating their roles in both biotic and abiotic stress tolerance and potential utility in biotechnological breeding of stress-enduring B. napus cultivars. Full article

Zinnia (Zinnia elegans) is a widely cultivated ornamental plant whose growth and floral traits can be compromised by abiotic stresses, especially water deficit. Melatonin (MEL) has stood out as a plant growth regulator with antioxidant potential, capable of mitigating the adverse effects of water stress. This study aimed to evaluate the effects of foliar MEL application on the growth and floral characteristics of Z. elegans under different water regimes. The experiment was carried out in a greenhouse using a randomized block design in a 4 × 2 factorial scheme with five replications. The first factor consisted of four water conditions: 80% of field capacity (FC) (no stress), 20% of field capacity (severe stress), early water restriction (20% of FC followed by 80% of FC), and late water restriction (80% of FC followed by 20% of FC). The second factor corresponded to the foliar application of MEL at two concentrations (0.0 and 1.0 mM). Growth variables (plant height, stem diameter, number of leaves, leaf area, and dry mass of different organs) and floral characteristics (number of petals, area, perimeter, and diameter) were evaluated. Water deficit, especially under severe stress (20% FC), significantly reduced plant growth and floral traits, decreasing the total dry mass by 60.27% and total floral area by 47.57% compared to the control. However, the application of 1.0 mM MEL attenuated the deleterious effects of water deficit, increasing total dry mass by 50.26% and total floral area by 25.56% under severe stress (20% FC) compared to untreated plants, making it a promising strategy for zinnia production in environments with limited water availability. Full article

Drought severely restricts the growth and establishment of Pinus sylvestris var. mongolica seedlings, whereas the mechanisms by which plant growth-promoting rhizobacteria improve host drought tolerance remain incompletely understood. In this study, strain A54 was evaluated under four drought gradients (ND, LD, MD, and SD) in a greenhouse pot experiment. Seedling growth, nutrient accumulation, physiological traits, rhizosphere bacterial communities, soil functional variables, genome annotation, and qRT-PCR were integrated to clarify the drought-alleviating effects of A54. At the strain level, A54 maintained growth and ACC deaminase-associated functional performance under PEG-induced osmotic stress. A54 inoculation alleviated drought-induced growth suppression, with seedling height increasing by 69.7% under MD and 87.7% under SD relative to the corresponding controls. A54 also improved nutrient maintenance, especially Stem TN and Leaf TK, enhanced antioxidant capacity, and reduced osmotic stress, membrane lipid peroxidation, and stress-hormone accumulation. In the rhizosphere, A54 reshaped bacterial community structure by increasing the proportion of persistent taxa and selectively enriching drought-associated taxa, especially Pseudarthrobacter. A54-treated soils also maintained higher levels of available nutrients and enzyme activities under drought. Genome annotation and representative gene expression further supported the functional potential of A54 in nitrogen metabolism, ACC deaminase-associated ethylene regulation, oxidative defense, and osmotic or ion homeostasis. supporting its role in enhancing drought tolerance. These findings support the potential application of A54 as a bio-inoculant to improve afforestation performance under water-limited conditions. Full article

Water balance calculations at the watershed scale are fundamental to water resource planning and the sustainable management of limited water supplies. These calculations rely on stream and canal gaging networks operated by local, state and federal entities, whose availability has varied over time due to cost, staffing constraints, and limitations on suitable gaging locations. The Green River Basin (GRB) above Fontenelle Dam in Wyoming illustrates this trend, where the number of operational stream gaging sites has varied over time and the majority of locations have less than 15 years of streamflow records. Recent advancements in the ability to perform streamflow reconstruction and estimate agricultural water use offer a new avenue for estimating the water balance for watersheds with discontinuous gage observations. But the use of these datasets and approaches has not been tested. Therefore, this paper proposes and tests a novel framework that combines discontinuous streamflow observations with new datasets (OpenET, ET-Demands, and GEOGLOWS) to calculate monthly water balances in the GRB from water year 1991 to 2023. Focusing on two main test basins, the Green River and the New Fork River, the integration of modern datasets enables the successful calculation of the water balance in the GRB with good agreement with downstream gaging records, achieving a Nash–Sutcliffe efficiency (NSE) of 0.88 for the New Fork River and 0.80 for the Green River. By improving the ability to quantify water balance components in data-limited basins, this framework supports more transparent water accounting and informed decision-making for sustainable water management, including irrigation planning, drought response, and long-term resource allocation in semi-arid river systems. Full article

Maize (Zea mays L.) is a vital global crop whose productivity is severely threatened by abiotic stresses. Epicuticular waxes provide a hydrophobic barrier that protects land plants from environmental stresses. However, the role of key wax biosynthetic enzymes, such as aldehyde decarbonylase CER1, in maize stress adaptation remains unclear. In this study, we performed a functional characterization of ZmCER1 in maize. Our results show that the overexpression of ZmCER1 in both Arabidopsis and maize substantially improved tolerance to these abiotic stresses. Under stress conditions, the transgenic plants displayed better growth performance, elevated activities of antioxidant enzymes, and reduced levels of oxidative damage markers. Additionally, the alkane content—especially that of C29 and C31—was significantly increased in the ZmCER1OE lines. Through a yeast two-hybrid screening (Y2H screening), we identified the peroxisomal membrane protein ZmPEX14 as an interacting partner of ZmCER1, and the interaction was further confirmed by luciferase complementation (LUC) and bimolecular fluorescence complementation (BiFC) assays. We propose a model wherein ZmCER1 enhances stress tolerance not only by reinforcing the cuticular wax barrier but also by potentially regulating reactive oxygen species (ROS) detoxification via association with ZmPEX14. Collectively, our findings establish ZmCER1 as a key regulator of abiotic stress tolerance in maize and a promising candidate for the molecular breeding of stress-resilient crops. Full article

Alternate wetting and drying (AWD) is a crucial water-saving irrigation strategy in rice production, yet its regulatory mechanisms during drought–rewatering cycles remain unclear, particularly across recovery stages. Using a polyethylene glycol (PEG-6000) hydroponic system, we analyzed physiological, metabolomic, and transcriptomic responses of Oryza sativa L. ssp. japonica under control, continuous drought, and rewatering treatments. The net photosynthetic rate (P_n) recovered within one day after rewatering, and subsequently exceeded control levels, indicating a photosynthetic compensatory effect. In contrast, instantaneous water-use efficiency (WUE) showed only a transient increase before declining thereafter and remaining lower than under continuous drought, revealing an asynchronous recovery in which carbon assimilation precedes the recovery of transpiration. Metabolomic analysis indicated a shift from drought-induced accumulation to recovery-driven metabolic reprogramming, with coordinated up-regulation of central carbon metabolism and chlorophyll biosynthesis. Decreases in citrate, malate, and glutamate suggested their sustained utilization to support nitrogen assimilation and chlorophyll synthesis. Transcriptomic data further revealed large-scale reprogramming during late recovery, including up-regulation of nitrogen assimilation genes (e.g., NIA, NiR), linking carbon–nitrogen coordination with photosynthetic compensation. Overall, these results demonstrate that stage-specific integration of physiological recovery, metabolic restructuring, and transcriptional regulation underlies AWD-induced efficiency and identify early rewatering as a critical window for optimizing WUE. Full article

The study assessed the impact of climate change, aphid infestation and drought stress on winter wheat (Triticum aestivum L.) and the performance of English grain aphid (Sitobion avenae) under abiotic stress in controlled environmental conditions. To understand wheat and aphid interactions under different climatic condition, wheat plants were grown in controlled climatic chambers simulating present (400 ppm CO₂, 19.8 °C, RH 69.2%) and future (700 ppm CO₂, 23.4 °C, RH 67.5%) scenarios, combined with biotic stress (aphid) and abiotic stress (drought). Climate change effects combined with other stress factors are expected to alter crop physiology and insect biology. The results showed that aphid performance was significantly enhanced under future climatic conditions, with higher fecundity (56%), and a shortened or faster developmental time. As for wheat structural growth, above-ground biomass improved by up to 80% under future climate. However, its physiological efficiency, water content and photosynthetic efficiency were significantly reduced under the combined biotic and abiotic stresses. The study demonstrates that climate change may increase wheat plant growth under controlled conditions, yet it simultaneously boosts the shift in pest attacks and intensifies stress impacts, which eventually threaten wheat productivity. The findings emphasize the improvement of wheat varieties and pest-resistant strains capable of withstanding future climatic conditions. Full article

Drought–flood abrupt alternation (DFAA) is a typical compound hydroclimatic extreme process and has important implications for regional water resources regulation, agricultural production, and ecological stability. However, existing studies have mainly focused on event identification and frequency variation, while lacking a systematic investigation of the directional differences between drought-to-flood (DF) and flood-to-drought (FD) events in terms of process structure, cumulative effects, and spatial hazard patterns. Based on daily precipitation data from 1960 to 2024, this study identified DFAA events in the Yellow River Basin by combining the standardized weighted average precipitation (SWAP) index with run theory, and analyzed the asymmetric characteristics of DF and FD events from the perspectives of event frequency, phase duration, abrupt-transition characteristics, cumulative severity, and integrated hazard. The results show that: (1) the frequency of DFAA events in the Yellow River Basin exhibited pronounced spatial heterogeneity, with an overall pattern of being higher in the middle reaches and lower in the upper and lower reaches. The frequency of DF events was generally higher than that of FD events, and their spatial distribution was also more continuous. No significant long-term trend was detected in the annual frequency, although clear interdecadal variability was observed, characterized by a transition from relatively low-frequency periods to medium- and high-frequency periods. (2) DF and FD events exhibited stable asymmetry in process structure. The abrupt-transition duration of DF events was mainly concentrated within 1–2 days, whereas that of FD events was mainly concentrated within 3–5 days. The two event types had comparable pre-transition durations, but DF events tended to shift more rapidly and were followed by a longer-lasting flood phase. (3) The differences between the two event types in terms of instantaneous intensity were relatively limited, whereas clearer divergence was observed in cumulative severity, with DF events showing greater overall severity than FD events. This indicates that the directional difference is manifested primarily in cumulative process effects rather than in the magnitude at a single moment. (4) The comprehensive hazard index (CHI) revealed that the northern and central-eastern parts of the middle reaches of the Yellow River Basin were the main hotspots of DFAA hazard. Among them, high-hazard areas of DF events were more extensive, whereas FD hazards were characterized more by localized intensification. These findings indicate that within the identification framework adopted here, DFAA in the Yellow River Basin is characterized not only by rapid dry–wet transitions, but also by clear directional differences between DF and FD in process structure and hazard pattern. This study can provide a scientific reference for the monitoring, early warning, and zonal hazard prevention of DFAA in the basin. Full article

Monitoring cropland dynamics in arid regions is critical for balancing food security with water scarcity constraints. However, distinguishing fragmented agricultural oases from spectrally similar desert vegetation remains a persistent challenge due to spectral confusion and landscape heterogeneity. To address these challenges, this study developed the STGP-OCE feature cube on the Google Earth Engine platform (GEE) by integrating the Oasis Cooling Effect (OCE) into the commonly used STGP (Spectral, Textural, Geomorphic, and Phenological) feature space, coupled with the XGBoost ensemble model. Through ablation experiments and feature importance analysis, we quantified the feature construction mechanism for arid regions. Oasis Cooling Intensity emerged as the most influential variable (Gain score: 0.315), demonstrating that the thermal signature of continuous anthropogenic irrigation serves as a robust thermodynamic proxy to resolve the spectral ambiguity between crops and drought-tolerant desert vegetation. By hierarchically coupling this thermal indicator with textural features to suppress fragmentation noise, topographic constraints to filter non-arable terrain, and phenological trajectories, the STGP-OCE feature cube achieved an Overall Accuracy of 95.12% and a Precision of 94.95%, significantly outperforming models built on lower-dimensional cubes as well as existing global land cover products. We generated a 10 m annual cropland dataset for Xinjiang, China, revealing a substantial 32.9% expansion (19,360 km²) from 2015 to 2024, mainly occurring in vulnerable oasis–desert transition zones and coinciding with reported reclamation activities. These highlight the continuous agricultural encroachment into desert margins, while the proposed STGP-OCE cube provides a reliable methodology for high-precision cropland monitoring in arid regions. Full article

N⁶-methyladenosine (m⁶A) is an important epigenetic modification of eukaryotic RNA, playing a significant role in various biological processes. Metasequoia glyptostroboides (M. glyptostroboides) is an ancient tree species in China, with a long history and excellent genetic characteristics. In this study, we identified six MgYTH genes in the genome of M. glyptostroboides, elucidating their phylogenetic relationships, conserved domains, gene structures, conserved motifs, chromosome locations, and prediction of LLPS. The analysis of the cis-regulatory elements in the promoter region suggested that MgYTH genes are associated with drought and the ABA-responsive expression patterns signaling pathway, which was further supported by expression pattern analysis. In addition, to directly evaluate the m⁶A binding ability of MgYTH proteins, we selected MgYTH5 as the representative for homology modeling analysis and electrophoretic mobility shift assay (EMSA). The results demonstrated that MgYTH5 has the ability to bind m⁶A in vitro, thereby providing biochemical evidence that MgYTH5 can bind m⁶A-modified RNA in vitro mRNAs. The subcellular localization results showed that MgYTH5 is located in the cytoplasm. These findings provide new insights into the epigenetic regulation mechanisms in gymnosperms and provide a resource for future functional studies in this species. Full article

Over the past two decades, extreme climate and weather events have become increasingly frequent in the United States, and the carbon–water cycle of corn ecosystems has shown high sensitivity to climate change. However, traditional simulation methods that rely on coarse-scale reanalysis data are unable to reflect changes in local water and heat conditions accurately. This study combines in situ meteorological observations with remote sensing, using a long short-term memory model to simulate the daily gross primary productivity (GPP) and evapotranspiration (ET) of 684 corn-growing meteorological stations in the United States. In summer, GPP and ET showed a spatial pattern of gradual decrease from the humid eastern region to the arid western region, and the multi-year daily averages at meteorological stations showed a single-peak pattern. The sensitivity of GPP and ET changes is mainly influenced by leaf area index (LAI) and shortwave radiation downward changes, which together explain more than 90% of the main variation in GPP and ET at the meteorological stations. The 2012 drought caused a general decline in GPP and ET, with the peak occurring approximately 15 days earlier than usual. Water use efficiency (GPP/ET) decreased at 85% of the sites (p < 0.05), but photosynthesis per unit leaf area (GPP/LAI) increased at 63% of the sites (p < 0.05). This study demonstrates the importance of meteorological station-scale data for understanding carbon–water flux dynamics in cornfields. Integrating the models developed in this study with medium-to-long-term climate projections will further guide climate-informed agricultural water management and provide reliable accounting and pricing tools for agricultural land carbon markets and carbon trading. Full article

Background: Jordan is increasingly recognized as a climate-vulnerable setting in the region, yet evidence on the psychosocial dimensions of climate change among young adults remains limited. Led by the Jordan Center for Disease Control, this study assessed climate change perceptual awareness and climate-related anxiety among university students and explored perceptions of climate impacts at global and national levels. Methods: In a cross-sectional survey conducted between April and May 2025, 1305 students were recruited from universities across Jordan using a questionnaire incorporating the 15-item Climate Change Perceptual Awareness Scale and the 13-item Climate Change Anxiety Scale. Results: Awareness of climate change and global warming was high (87% and 96%, respectively), yet only 23% were familiar with Jordan’s National Climate Change Policy 2022–2050. In regression analyses, higher climate anxiety was associated with female sex, married status, larger household size, diagnosed mental health conditions, and central-region university enrolment. Higher perceptual awareness was associated with female sex, older age, and the recognition of multidimensional climate impacts. Students identified heatwaves, drought, and forest fires as principal environmental threats, and respiratory and heat-related illnesses as foremost health concerns. Conclusions: Our findings position climate change as not only an environmental concern, but also as an educational, psychological, and public health priority. To support effective adaptation and resilience, climate awareness must be translated into informed engagement and action. Integrating climate and climate-health education into university curricula, improving youth-responsive communication of national climate strategies, and creating formal pathways for youth participation in climate governance are essential investments in Jordan’s climate resilience, health security, and long-term sustainable development. Full article