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Drought has a profound impact on the growth, development and quality yield of crops. It has been demonstrated that WRKY transcription factors (TFs) play an important role in abiotic stress responses. Previously, numerous studies have documented the functional role of these TFs in a range of plant species. In this study, the SpWRKY71 gene from the wild tomato specie, Solanum. pennellii, was identified and its role in drought stress tolerance was investigated. Subcellular localisation showed that SpWRKY71 is predominantly nuclear in localisation and exhibited elevated transcript levels following PEG6000 and abscisic acid (ABA) treatments. Furthermore, we employed virus-induced gene silencing (VIGS) technology to examine the function of SpWRKY71 in tomato under stress conditions. The plants in which SpWRKY71 had been silenced demonstrated a high sensitivity to drought conditions, exhibiting accelerated and more severe stem and leaf wilting compared to the control plants. The results indicated that SpWRKY71 silencing resulted in a significant exacerbation of drought-induced oxidative damage, as evidenced by an increase in the accumulation of hydrogen peroxide (H₂O₂), superoxide anion (O₂–) and malondialdehyde (MDA) and reduction in the antioxidant enzyme activities and stress-related genes compared to the control. These results indicate that SpWRKY71 plays a significant role in the mechanism of drought stress tolerance in tomato, thereby providing theoretical foundation for the study of the SpWRKY71-mediated drought tolerance in plants. [ABSTRACT FROM AUTHOR]

Accurate crop yield forecasting is vital for ensuring food security and making informed decisions. With the increasing population and global warming, addressing food security has become a priority, so accurate yield forecasting is very important. Artificial Intelligence (AI) has increased the yield accuracy significantly. The existing Machine Learning (ML) methods are using statistical measures as regression, correlation and chi square test for predicting crop yield, all such model's leads to low accuracy when the number of factors (variables) such as the weather and soil conditions, the wind, fertilizer quantity, and the seed quality and climate are increased. The proposed methodology consists of different stages, like Data Collection, Preprocessing, Feature Extraction with Support Vector Machine (SVM), correlation with Normalized Google Distance (NGD), feature ranking with rising star. This study combines Bidirectional Gated Recurrent Unit (Bi-GRU) and Time Series CNN to predict crop yield and then recommendation for further improvement. The proposed model showed very good results in all datasets and showed significant improvement compared to baseline models. The ECP-IEM achieved an accuracy 96.34%, precision 94.56% and recall 95.23% on different datasets. Moreover, the proposed model was also evaluated based on MAE, MSE, and RMSE, which produced values of 0.191, 0.0674, and 0.238, respectively. This will help in improving production of crops by giving an early look about the yield of crops which will than help the farmer in improving the crops yield. [ABSTRACT FROM AUTHOR]

Abiotic stresses are causes of losses in crop yield and quality. New technologies, including growth-enhancing products, have been tested to mitigate this impact. The application of biostimulants has shown promise in managing biotic and abiotic stress-related damage. This study evaluates the effect of a phytohormone-based biostimulant on root yield and quality of two carrot cultivars across two contrasting growing seasons. Randomised block trials were arranged in a split-plot scheme with four replicates. The carrot cultivars Nantes and Brasília were assigned to plots, and five Stimulate® doses (0, 5, 10, 15 and 20 mL L−1) to subplots. Traits assessed included root length and diameter, fresh and dry mass, root volume, β-carotene, soluble sugar, pH, titratable acidity and total root yield. A combined analysis of both trials was conducted to investigate the effect of planting time on yield and quality. Biostimulant dosage influenced root length, with 12.91 mL L−1, obtained by the regression curve, resulting in the longest roots during summer. Biostimulants had no impact on other traits, except for soluble solids, which decreased with increasing dosage. Brasília outperformed Nantes in all traits except titratable acidity. Midseason planting was advantageous for traits such as root fresh mass, total yield, root volume and diameter, especially for Brasília. [ABSTRACT FROM AUTHOR]

Background: Intercropping Saccharum spp. (sugarcane) with the fungus Dictyophora indusiata together with bagasse amendment represents an innovative circular agriculture method that can enhance soil health, boost sugarcane yields, and increase farm profitability. Understanding the process by which D. indusiata degrades bagasse is key to optimizing this method. Aims: This study aims to clarify the microbial and metabolic processes involved in bagasse degradation by D. indusiata in the sugarcane intercropping system. Methods: Chemical composition analysis, metabarcoding sequencing, and metabolomic profiling were conducted on D. indusiata -degraded bagasse (DIBA) and naturally degraded bagasse (BA). Results: Analysis of chemical composition revealed that only acid detergent fiber (ADF) and crude protein content differed significantly between the DIBA and BA treatments. Metabarcoding sequencing showed that DIBA significantly altered the bacterial and fungal communities, reducing microbial diversity. Metabolomic analysis indicated an enhancement of biological metabolism, particularly carbohydrate breakdown, in the DIBA treatment. Key metabolites, such as glucose, cellobiose, and D-mannose, were more abundant in DIBA samples. In addition, unique metabolites such as L-alanine, serine, and oxaloacetate were detected in the DIBA treatment, suggesting more efficient bagasse degradation compared with natural processes. Conclusion: The use of macrofungi such as D. indusiata can play a pivotal role in circular agriculture by transforming agricultural waste into valuable soil amendments. Future research should focus on the long-term impact of this system on soil quality and crop yield, as well as the underlying mechanisms, to further optimize intercropping systems and the use of fungi in agricultural waste management. [ABSTRACT FROM AUTHOR]

Salinized soil often exhibits high salt content and low nutrient availability, leading to the reduction of soil ecosystem function and crop productivity. Although straw return has profound effects on saline soil improvement, how soil quality index (SQI), soil ecosystem multifunctionality (EMF), and crop yield respond to different organic ameliorants remain unclear. Herein, a field experiment was established to explore the influence of various straw management strategies (no organic ameliorant, CK; corn straw return, CS; and corn straw biochar return; CB) on the saline soil functions and crop productivity. In relation to CK and CB, CS significantly improved SQI by 52% and 35%, respectively. This may be due to the decreased soil salt (especially soluble Na+) and increased available nutrients under corn straw return. Furthermore, CS increased soil EMF than CK by 71% and CB by 39%, which was caused by the increased activities of 1,4-β-glucosidase, β-1,4- N -acetyl-glucosaminidase, and leucine aminopeptidase. The linear model further supported that soil enzyme activities are positively related to available nutrient contents and negatively correlated with salt content. Moreover, the crop yield under CS significantly increased by 22% compared to CK. Also, soil quality positively influenced crop yield, with soil salt and available phosphorus being the primary influencing factors. However, crop yield was not sensitive to soil EMF. In summary, straw return was more beneficial to improving soil quality and crop productivity than biochar in the short term in saline soils. [ABSTRACT FROM AUTHOR]

• Boran is one of the significant mineral elements for plant system. • It has several beneficial effects on growth and developments of plant roots. • B deficiency in soil significantly reduces the quality and quality of crops production. • Exogenous application of boron controls the abiotic stress of crops. One of the most important components in achieving increased crop productivity is a balanced supply of necessary macro- and micronutrients. Among the various nutrients Boron (B) is recognised as a vital nutrient for the plant's life. however, inadequate availability of B can affect root development, nitrogen absorption, the integrity and function of cell walls and ultimately reduce the crop yield. Over 90 % of B in plants is found in cell wall, signifying its relevance in the growth and development of the root system. Since B is crucial for indispensable plant processes, it is a necessary constituent of rhamnogalacturonan II (RG-II), acting as a binding component in the cell wall, and as a result, it maintains membrane integrity, the indole acetic acid pathway, and cell wall synthesis. Therefore, this review aimed to assemble the novel information's of the function of boron in roots of the plant, deficiency symptoms, and the mechanisms of abiotic stresses management etc. [ABSTRACT FROM AUTHOR]

5-Aminolevulinic acid (5-ALA) is a non-proteinogenic amino acid essential for synthesizing tetrapyrrole compounds, including heme, chlorophyll, cytochrome, and vitamin B12. As a plant growth regulator, 5-ALA is extensively used in agriculture to enhance crop yield and quality. The complexity and low yield of chemical synthesis methods have led to significant interest in the microbial synthesis of 5-ALA. Advanced strategies, including the: enhancement of precursor and cofactor supply, compartmentalization of key enzymes, product transporters engineering, by-product formation reduction, and biosensor-based dynamic regulation, have been implemented in bacteria for 5-ALA production, significantly advancing its industrialization. This article offers a comprehensive review of recent developments in 5-ALA production using engineered bacteria and presents new insights to propel the field forward. [ABSTRACT FROM AUTHOR]

Bio-stimulant has emerged as promising tool in modern agriculture, offering potential solution to enhance the crop productivity in addition to promoting sustainable soil management practices. Bio-stimulants represent natural formulation that enhance the overall well-being, vitality, and development of plants while, safe guarding them from biotic and abiotic stresses. They had successfully used in both Agri-horticultural crops. A variety of bio-stimulants, such as extracts from seaweed, humic acids (HA), fulvic acids (FA), enzymes, amino acids, protein hydrolyzates, nitrogen-containing compounds, beneficial microorganisms and small organic molecules, have been utilized to augment both the growth and quality of crops. Findings from this review indicate a consistent response to bio-stimulant application across diverse plant species, including improved germination, enhanced shoot-root growth, optimization of bloom and fruit set periods, elevated crop health and yield, enhanced nutrient absorption and improved stress tolerant. Furthermore, bio-stimulants exert positive effects on soil health by enhancing soil structure, microbial activity, nutrient cycling and fertility. Through these mechanisms, they contribute to sustainable soil management practices and mitigate the adverse impacts of intensive agricultural practices. Overall, the role of bio-stimulants is essential for promoting agricultural sustainability and resilience against environmental challenges. [ABSTRACT FROM AUTHOR]

The widespread occurrence of plant diseases is a major factor in the reduction of agricultural output, affecting both crop quality and quantity. These diseases typically begin on the leaves, influenced by alterations in plant structure and growing techniques, and can eventually spread over the entire plant. This results in a notable decrease in crop variety and yield. Successfully managing these diseases depends on accurately classifying and detecting leaf infections early, which is essential for controlling their spread and ensuring healthy plant growth. To address these challenges, this paper introduces an efficient approach for detecting plant leaf diseases. A concatenation of pre-trained convolutional neural networks (CNN) for enhanced plant leaf disease using transfer learning technique is implemented, with a specific focus on accurate early detection, utilizing the comprehensive new plant diseases dataset. The combined residual network-50 (ResNet-50) with densely connected convolutional network-121 (DenseNet-121) architecture aims to provide an efficient and reliable solution to these critical agricultural concerns. Various evaluation metrics were utilized to evaluate the robustness of the proposed hybrid model. The proposed ResNet-50 with the DenseNet-121 hybrid model achieved a rate of accuracy of 99.66%. [ABSTRACT FROM AUTHOR]

Introduction: Weeds are a major factor affecting crop yield and quality. Accurate identification and localization of crops and weeds are essential for achieving automated weed management in precision agriculture, especially given the challenges in recognition accuracy and real-time processing in complex field environments. To address this issue, this paper proposes an efficient crop-weed segmentation model based on an improved UNet architecture and attention mechanisms to enhance both recognition accuracy and processing speed. Methods: The model adopts the encoder-decoder structure of UNet, utilizing MaxViT (Multi-Axis Vision Transformer) as the encoder to capture both global and local features within images. Additionally, CBAM (Convolutional Block Attention Module) is incorporated into the decoder as a multi-scale feature fusion module, adaptively adjusting feature map weights to enable the model to focus more accurately on the edges and textures of crops and weeds. Results and discussion: Experimental results show that the proposed model achieved 84.28% mIoU and 88.59% mPA on the sugar beet dataset, representing improvements of 3.08% and 3.15% over the baseline UNet model, respectively, and outperforming mainstream models such as FCN, PSPNet, SegFormer, DeepLabv3+, and HRNet. Moreover, the model's inference time is only 0.0559 seconds, reducing computational overhead while maintaining high accuracy. Its performance on a sunflower dataset further verifies the model's generalizability and robustness. This study, therefore, provides an efficient and accurate solution for crop-weed segmentation, laying a foundation for future research on automated crop and weed identification. [ABSTRACT FROM AUTHOR]

ABSTRACT Lodging reduces grain yield and quality in cereal crops. Lodging resistance is affected by the strength of the culm, which is influenced by the culm diameter, culm wall thickness, and cell wall composition. To explore the genetic architecture of culm diameter in rice (Oryza sativa), we conducted a genome‐wide association study (GWAS). We identified STRONG CULM 2 (STRONG2), which encodes the mannan synthase CSLA5, and showed that plants that overexpressed this gene had increased culm diameter and improved lodging resistance. STRONG2 appears to increase the levels of cell wall components, such as mannose and cellulose, thereby enhancing sclerenchyma development in stems. SNP14931253 in the STRONG2 promoter contributes to variation in STRONG2 expression in natural germplasms and the transcription factor MYB61 directly activates STRONG2 expression. Furthermore, STRONG2 overexpressing plants produced significantly more grains per panicle and heavier grains than the wild‐type plants. These results demonstrate that the MYB61–STRONG2 module positively regulates culm diameter and lodging resistance, information that could guide breeding efforts for improved yield in rice. [ABSTRACT FROM AUTHOR]

CPPU, N-(2-Chloro-4-pyridyl)-N-phenylurea, is a synthetic cytokinin extensively used to enhance fruit size and overall quality in several crops, including kiwifruit. This study aimed to investigate the effects of three different CPPU application strategies (2.3, 3.0, and 4.6 ppm) and two crop load levels on key fruit quality parameters at harvest, as well as on post-harvest storage performance. Our results demonstrate that two applications of CPPU (4.6 ppm) significantly increased fruit weight, especially under standard crop-load conditions, likely due to more efficient resource allocation. Additionally, fruit firmness improved with two or three CPPU applications, probably because of enhanced cell wall development. Crop load consistently influenced fruit firmness, with lower loads resulting in softer fruits. The soluble solids content was not significantly affected by the two CPPU applications; however, it was notably influenced by crop load, with fruits from the standard crop load showing higher sugar accumulation. A similar trend was observed in fruit dry weight, where CPPU had a greater impact under standard crop loads. Regarding post-harvest performance, CPPU applications showed a limited effect on maintaining fruit firmness during the first five months of storage. Overall, CPPU can be a potential strategy to enhance fruit quality, but its effectiveness depends heavily on field management practices. Therefore, controlling field variables is essential to fully realize the benefits of CPPU and to avoid interference with the plant's physiological responses. [ABSTRACT FROM AUTHOR]

Polyamines (PAs) are low-molecular-weight compounds that contain amino groups. PAs are present in a variety of organisms, including plants, animals and microorganisms. In plants, the main PAs are putrescine (PUT), spermidine (SPD) and spermine (SPM). They play crucial physiological roles in plant development, including flowering, fruit set, growth, ripening and metabolic processes. In addition, PAs are components of the diet and have a role in health and disease. Furthermore, PAs have been demonstrated to help overcome the negative effects of adverse environmental factors of both biotic and abiotic stresses. Thus, the main objective of this review was to examine the recent literature regarding the mentioned effects of PAs apart from the impact of preharvest PAs treatments, applied at different stages of fruit development, on fresh fruit crop yield and fruit quality properties at harvest, and in their maintenance during storage, with a special emphasis on the fruit content in bioactive compounds with antioxidant activity. Moreover, this review addressed the impact of PAs on other physiological processes affecting crop yield such as flowering and fruit set. [ABSTRACT FROM AUTHOR]

Salvia miltiorrhiza Bunge (S. miltiorrhiza) is one of the most commonly used bulk herbs in China; however, root rot can seriously affect its quality and yields. To minimize the use of chemical pesticides for managing this plant fungal disease, biological control utilizing microbial bio-pesticides offers a promising alternative. This study aimed to enhance the biocontrol resources available for combating S. miltiorrhiza root rot by isolating actinomycetes with antifungal activity from the rhizosphere soil of S. miltiorrhiza and identifying biocontrol actinomycetes with a preventive effect on root rot. A total of 35 actinomycetes were successfully screened from the rhizosphere soil of S. miltiorrhizae. The strain B-35 with the strongest antifungal activity was screened out through antagonizing the pathogen Fusarium solani of S. miltiorrhiza, strain morphology and 16S rRNA analysis. The antagonistic actinomycetes fermentation filtrate and crude extract could significantly destroy the mycelium and spores of Fusarium solani; the biocontrol effect of mature S. miltiorrhiza rhizome reached 83.3%, and the number of leaves, plant height and biomass in the B-35 treatment group were significantly increased compared with the control group. B-35 has a certain application potential in the biological control of root rot and the promotion of S. miltiorrhizae. The antifungal activity of actinomycetes sourced from the rhizosphere soil of S. miltiorrhiza has been demonstrated for the first time, potentially enhancing future crop quality and production. [ABSTRACT FROM AUTHOR]

In crop fields, weeds are perfect hosts for plant pathogenic viruses. The effects of these viruses can range from latent infection to plant death, affecting crop quality and yield and leading to economic loss in the world. Virus infection threatens cereals used as food for most of the world's population. Weeds growing in cereal fields can compete for essential supply and act as virus reservoirs, strengthening their deteriorating effect. In this review, we collected the current information on viruses presenting in the most important monocotyledonous weeds: Echinocloa crus-galli, Setaria viridis, Cynodon dactylon, Sorghum halepense and millet species growing as weeds. Identifying plant viruses in monocotyledonous weed hosts provides more information about viral infection flow and guides the development of management strategies for safeguarding our field crops. [ABSTRACT FROM AUTHOR]

The large‐scale implementation of antimicrobial agrochemicals to increase plant resistance against invasive phytopathogenic organisms and to secure crop yields and quality imposes critical cost and environmental challenges in agriculture. Thus, there is a growing need for alternative sustainable methods in today's farming to boost the plants' growth and immune systems, safeguarding them from biotic stresses more eco‐economically. In this context, interest in the potential applications of functional carbon‐based nanomaterials has surged due to their tunable physicochemical/biological properties. MXenes, the latest materials in this family, are revolutionizing various fields in biology‐medicine, as they have been shown to possess intrinsic anti‐inflammatory/antimicrobial/anticancer properties and biocompatibility with different cells/tissues at controlled doses, opening avenues for advancing nanoagriculture. Here, innovative applications of mixed‐low‐dimensional titanium carbide MXene (Ti3C2Tx)‐based aqueous colloids are reported for plant immunoengineering and biostimulation, including autoclave‐treated Ti3C2Tx nanosheets' impacts on enhancing defense‐related biological responses, seed‐to‐seedling transition, and underlying gene/hormone regulatory mechanisms. Foliar application of their relatively low doses serves as elicitor/priming active and stomatal closure‐inducing agent to boost plant innate immunity, expression of defense genes, systemic disease resistance, and defense/growth‐related responses. This sophisticated bioactivity resulted in reactive‐oxygen‐species production, inducing anti‐phytoviral/anti‐phytobacterial/anti‐phytofungal modes‐of‐action through direct pathogens‐inhibition and indirect regulation of plant immune system, implying MXene's potential for agricultural‐protection‐by‐nanodesign. [ABSTRACT FROM AUTHOR]

Salinity is one of the predominant abiotic stressors that reduce plant growth, yield, and productivity. Ameliorating salt tolerance through nanotechnology is an efficient and reliable methodology for enhancing agricultural crops yield and quality. Nanoparticles enhance plant tolerance to salinity stress by facilitating reactive oxygen species detoxification and by reducing the ionic and osmotic stress effects on plants. This experiment was conducted to study the effects of NaCl salinity stress (0, 100, and 200 mM), and foliar application of quantum dot-graphene oxide, nano-TiO2, and CeO2 (zero and 2 g/l) on the growth and physiological responses of Capsicum annum L. The results revealed that the interaction effects of treatments significantly affected plant and fruit fresh weight, chlorophyll a, total soluble solids, phenolics, malondialdehyde, H2O2, and proline content. Moreover, catalase activity and sodium, and phosphorus content were responded to the treatments. The highest fresh weight of plants and fruits, fruit diameter, and chlorophyll a content were recorded under no-salinity × quantum dot-graphene oxide foliar use. The highest data for total phenolics content was recorded at NaCl100 mM × quantum dot-graphene oxide. In contrast, the maximum flavonoids content belonged to NaCl100 mM × quantum dot-graphene oxide and NaCl100 mM × TiO2. The experimental treatments independently affected the number of fruits, chlorophyll b, carotenoids, and vitamin C content, as well as K/Na ratio. The foliar treatment of quantum dot-graphene oxide nanoparticles improved the carotenoids and vitamin C content, stem diameter, and fruit number. The overall results disclosed that, when plants were exposed to high salinity levels; the foliar treatments were unable to effectively mitigate the negative impacts of salt stress on the plant, except for certain traits such as total phenolics, flavonoids, and TSS levels. However, under the low and mild salinity depression, the foliar treatments were enough capable to overcome the salinity defects. [ABSTRACT FROM AUTHOR]

Plastic mulches made from nonbiodegradable polyethylene (i.e., "PE mulch") are an integral tool for organic and conventional strawberry (Fragaria x ananassa) production due to their ability to optimize soil and crop microclimates, suppress weeds, and promote overall yield and fruit quality. Unfortunately, PE mulch is primarily single-use and seldom recycled, leading to large volumes of plastic waste, with some of the plastic mulch fragments residing in the soil or polluting the surrounding agroecosystem. Although soil-biodegradable plastic mulches are a promising mulch technology that aims to reduce waste generation, no commercial products are available that meet the National Organic Program's requirements. Hydromulches are an alternative mulch technology that is sprayable and can be formulated to meet organic requirements, but they have undergone limited testing. The objective of this study was to evaluate the effects of various hydromulch formulations on yield, fruit quality, and tissue nutrient status of day-neutral strawberries grown in two diverse environments. Hydromulches made with various formulations of paper, guar gum, or psyllium tackifiers were compared with PE mulch in Northwest Washington and North Dakota in 2022. Few treatment effects were observed throughout the experiment, and both strawberry yield and fruit quality were maintained. Slight variations in tissue nutrient concentrations were observed but not attributed to hydromulch treatments. Information resulting from this project demonstrates hydromulches maintain crop productivity and quality. Future research should evaluate the ability of hydromulches to suppress a spectrum of weed species, impacts on soil health, and economic viability. [ABSTRACT FROM AUTHOR]

BACKGROUND: The invasion of viruses and fungi can cause pathological changes in the normal growth of plants and is an important factor in causing plant infectious diseases. These pathogenic microorganisms can also secrete toxic metabolites, affecting crop quality and posing a threat to human health. In this work, we selected the natural product rutaecarpine as the lead compound to achieve the total synthesis and structural derivation. The antiphytoviral activities of these compounds were systematically studied using tobacco mosaic virus (TMV) as the tested strain, and the structure–activity relationships were summarized. RESULT: The anti TMV activities of compounds 5a, 5n, 6b, and 7c are significantly higher than that of commercial antiviral agent ningnanmycin. We chose 5n for further antiviral mechanism research, and the results showed that it can directly act on viral particles. The molecular docking results further confirmed the interaction of compound 5n and coat protein (CP). These compounds also exhibited broad‐spectrum fungicidal activities against eight plant pathogens. Especially compounds 5j and 5p have significant anti‐fungal activities (EC50: 5j, 1.76 μg mL−1; 5p, 1.59 μg mL−1) and can be further studied as leads for plant‐based anti‐fungal agents. CONCLUSION: The natural product rutaecarpine and its derivatives were synthesized, and evaluated for their anti‐TMV and fungicidal activities. Compounds 5n and 5p with good activities emerged as new antiviral and anti‐fungal candidates, respectively. This study provides important information for the research and development of the novel antiviral and fungicidal agents based on rutaecarpine derivatives. © 2024 Society of Chemical Industry. [ABSTRACT FROM AUTHOR]

BACKGROUND: Plant diseases seriously decrease the yield and quality of agricultural crops. Fungicide treatments remain the main means of field fungi control. However, the residual activity of fungicides is rapidly reduced due to various factors in the natural environment, therefore the development of agents with novel modes of action is desirable. It is highly required to design and develop new fungicides to address the resistance issue. Designing low impact chemicals to safely and sustainably address needs of agriculture. RESULTS: In this work, we used the highly active fluxapyroxad and flutolanil as parent structures, to design and synthesize a series of pyrazole‐4‐carboxamide derivatives. Some of the pyrazole‐4‐carboxamide derivatives exhibit fungicidal activities that are comparable to or higher than those of the commercialized fungicides fluxapyroxad and bixafen. In particular, compounds TM‐1, TM‐2, TM‐3, TM‐4, TM‐5, TM‐7 and TM‐8 showed excellent fungicidal activities against corn rust that were 2–4 times higher than those of fluxapyroxad and bixafen. Field trial results demonstrated that at the same dosage levels, compound TM‐2 exhibited comparable field control efficacy against wheat rust as compared to triadimefon and pyrazophenamide. Molecular docking simulations reveal that compound TM‐2 interacts with TRP 173 of succinate dehydrogenase (SDH) through hydrogen bonding, which could explain the probable mechanism of action between compound TM‐2 and the target protein. CONCLUSION: These results indicate that compound TM‐2 may be a promising fungicide candidate and provide valuable reference for further investigation. © 2024 Society of Chemical Industry. [ABSTRACT FROM AUTHOR]

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Bean leaf diseases are the major risk aspect for plant growth, and early detection is critical for farmers but challenging due to the complex structure of bean leaf diseases. Bean leaf diseases such as bean rust and angular leaf spots significantly diminish the quality and yield of agricultural products. Accurate detection is crucial for enhancing crop Yield and quality. To tackle this challenge, this paper proposes a novel approach using a deep stacked ensemble learning model, which combines the predictions of several pre-trained Convolutional Neural Network (CNN) models based on the Transfer Learning (TL) technique and utilizes a meta-learner on averaged predictions to detect bean leaf diseases. We have trained three pre-trained CNN models—EfficientNetB3, InceptionV3, and MobileNetV2—on a bean leaf dataset with 1296 leaf images and assessed their efficiency. Finally, we utilized a stacked ensemble learning approach, where the average of the predictions from these models are used as features to train an ensemble model to enhance the detection accuracy of bean leaf diseases. The proposed stacked ensemble method, particularly the combination of EfficientNetB3 and InceptionV3, achieves exceptional results with a classification accuracy of 99.22%, precision of 99.24%, recall of 99.22%, and F1-score of 99.22% on the test data with reduced training time, outperforming other state-of-the-art models. [ABSTRACT FROM AUTHOR]

The growing demand for food production and increasing stress scenarios increase the crucial need for sustainable alternatives to achieve increased crop yield and quality without affecting the environment. The use of brown macroalgae, being a renewable resource, is a promising option with various application options in agricultural systems, mainly in the form of extracts, direct applications, and compost. Brown algae are a source of active biomolecules and minerals that are currently used as agricultural biostimulants, since they increase crop productivity. This type of biostimulants derived from brown algae improve seed germination, increase the accumulation of plant biomass by accelerating cell division and elongation, activating the antioxidant system of plants, making them more resistant to stress, and contributes to the absorption and translocation of nutrients present in the soil. These products are also compatible with other agricultural inputs, such as synthetic fertilizers and pesticides, which makes them ideal for comprehensive applications and maintaining a balance in agroecosystems. This review incorporates fundamental and applied aspects of brown seaweeds that impact yields, biochemical quality, physiology, stress mitigation, and soil properties. Based on the above, the review is divided into different Sections that show the formulation of brown seaweed products; their effect on crop yield, quality, and physiology; their effect on biotic and abiotic stress mitigation; and their impact on soil physical, chemical, and biological properties. [ABSTRACT FROM AUTHOR]

Environmental stress, notably the exposure to low temperatures during the early developmental stages of seedlings, has been identified as a critical determinant impacting the yield and quality of tomato crops cultivated in greenhouses. Silicon (Si), recognized as a beneficial element, is posited to mitigate the adverse effects of such stress on plant physiology. This study explores whether exogenous Si fertilizer can effectively alleviate the stress of low temperature and cold damage on tomato plant growth, fruit yield, and quality. Tomato plants were placed under low temperature conditions (6 °C at night, daily average temperature 15 °C), with normal temperature conditions as the control (below 16 °C at night, daily average temperature 28 °C), and two different concentrations of nano Si and ionic Si (50 mg·L−1 and 200 mg·L−1) were sprayed on the leaves, with an equivalent amount of deionized water as the control, for a total of 10 treatments. Relevant indexes were measured to investigate the effects of exogenous Si on tomato resistance, yield, and quality under low-temperature stress. The results show that compared with the control treatment, the plant height, stem diameter, and fresh weight of above-ground and underground parts of tomato seedlings decreased significantly by 46.52%, 42.53%, 28.81%, and 28.97%, respectively, after 15 days of low-temperature stress (p < 0.05), and in order to resist low temperature, the activity of antioxidant enzymes and the content of osmotic adjustment substances were up-regulated in seedlings. Ultimately, low-temperature stress inhibited the morphological growth, nutritional quality, and yield of fruits. Both concentrations of Si application can promote the growth and biomass accumulation of tomato plants under low temperature conditions. Moreover, it significantly ameliorated the osmotic adjustment and antioxidant capacity of the plants, thereby alleviating the low-temperature stress. Under low-temperature stress, 50 mg L−1 ionic Si was the most effective for increasing tomato yield per plant, which was significantly increased by 22.44% compared with the control treatment (p < 0.05). Consequently, the study advocates for the application of 50 mg·L−1 ionic Si fertilizer as a strategy to mitigate the impact of low-temperature stress on tomato plants. Furthermore, the use of nano Si fertilizer has been demonstrated to exert a significant influence on enhancing both the yield and quality of tomatoes, with a 50 mg·L−1 concentration of nano Si fertilizer leading to a notable increase in yield by 20.15% under normal temperature conditions (p < 0.05). These findings are intended to furnish a theoretical foundation and practical direction for advancing research aimed at combating the detrimental effects of low-temperature stress in the context of protected vegetable cultivation. [ABSTRACT FROM AUTHOR]

Salinity stress adversely affects wheat growth and productivity, necessitating effective mitigation strategies. This study investigates the combined impact of ascorbic acid (AsA), silver nanoparticles (NPs), and Salvadora oleoides aqueous leaf extract (LE) on wheat tolerance to salinity stress. A randomized complete design (RCD) was employed with fourteen treatments: T1 (5 mM AsA), T2 (10 mM AsA), T3 (20 ppm AgNPs), T4 (40 ppm AgNPs), T5 (5% S. oleoides LE), T6 (10% S. oleoides LE), T7 (20 ppm AgNPs + 5 mM AsA), T8 (20 ppm AgNPs + 10 mM AsA), T9 (40 ppm AgNPs + 5 mM AsA), T10 (40 ppm AgNPs + 10 mM AsA), T11 (20 ppm AgNPs + 5% S. oleoides LE), T12 (20 ppm AgNPs + 10% S. oleoides LE), T13 (40 ppm AgNPs + 5% S. oleoides LE), and T14 (40 ppm AgNPs + 10% S. oleoides LE). Wheat plants were subjected to salinity stress (SS) and no-stress conditions (NoSS) for 50 days. Chlorophyll content, DPPH activity, total soluble proteins and sugars, antioxidant enzyme activities, lipid peroxidation, leaf ion concentrations, and nutrient uptake were analyzed. Under SS, T6 (10% LE) showed the lowest chlorophyll-a (90.04%) and b (57.84%). DPPH activity was highest in NoSS with T9 (40 ppm NPs + 5 mM AsA) at 14.40%, and lowest in SS with T6 (10% LE) at 6.67%. Total soluble proteins and sugars were highest in NoSS with T9 (40 ppm NPs + 5 mM AsA) and T6 (10% LE). In SS, SOD activity peaked with T6 (10% LE) at 8.39 U/mg protein, while CAT activity was highest with T9 (40 ppm NPs + 5 mM AsA) at 6.25 U/mg protein. Lipid peroxidation was highest in SS with T6 (10% LE) at 14.67 µM MDA/g fresh weight. Leaf Na and Cl concentrations were highest in SS with T9 (40 ppm NPs + 5 mM AsA), at 14.26% and 44.15%, respectively. The combined application of 40 NPs and 5 AsA (T9) proved most effective in enhancing chlorophyll content and DPPH activity under NoSS, while 10% LE (T6) showed significant improvements in SOD activity and lipid peroxidation mitigation under SS. Future research should explore optimizing treatment concentrations and combinations to further enhance wheat stress tolerance and evaluate long-term effects on crop yield and quality. [ABSTRACT FROM AUTHOR]

The northeastern part of China is a traditional sugar beet cultivation area where the soils are classified generally as the black and albic soil types with low boron (B) availability. Boron fertilizer can increase soil B content and significantly improve crop yield and quality. At present, the effects of slow-release B fertilizer on beet root yield and quality remain unclear. Two sugar beet varieties KWS1197 and KWS0143 were selected as the research materials; and biologically evaluated with three dosage rates of 0, 15, and 30 kg ha-1 in two soil types. Results showed that slow-release B fertilizer (30 kg ha-1) improved sugar beet net photosynthetic rate (13.6%) and transpiration rate (9.8%), as well as enhanced dry matter accumulation and the transfer to underground parts (23.1%) for higher root yield (1.4 to 9.7% in black soil and 3.5-14.2% in albic soil). Specifically, boron fertilizer greatly increased root B accumulation, as evidenced by decreasing amino N and Na contents alongside increasing surose (Pol) content. Slow-release B fertilizer increased white sugar yield by 3.5 to 35.7% in black soil and 5.8 to 20.8% in albic soil. In conclusion, applying slow-release B fertilizer is an effective strategy to increase sugar beet yield and quality in northeast China, with a recommended application rate of 30 kg ha-1. These findings established a baseline for formulating effective and futristic fertilizer for sugar beet. [ABSTRACT FROM AUTHOR]

Background: In today's conditions, it is not possible to eliminate chemical inputs without reducing food production. Therefore, integrated methods that reduce the negative effects of chemical inputs are needed. One of the alternatives is the use of beneficial bacteria, which can both improve the yield and quality of vegetable crops and reduce the use of chemical fertilisers. This research was carried out to test the effects of a microbial fertiliser combined with inorganic fertiliser on the growth, biochemical properties and yield of lettuce and whether the use of chemical fertilisers could be reduced. Caipira curly lettuce variety was used as plant material. The microbial fertilizer used contains 7 different microorganisms and 2 different yeasts. The experiment consisted of eight treatments: Control (T0), 100% Chemical Fertilisation (T1), 50% Chemical Fertilisation + Microbial Fertilisation (T2), 75% Chemical Fertilisation + Microbial Fertilization (T3), 100% Chemical Fertilisation + Microbial Fertilisation (T4), Microbial Fertilisation Alone (T5), 50% Chemical Fertilisation + Microbial Fertilisation + Foliar Microbial Fertilisation (T6), 75% Chemical Fertilisation + Microbial Fertilisation + Foliar Microbial Fertilisation (T7). Results: The results of the research were statistically evaluated using analysis of variance at a significance level of p < 0.05, and the means were compared using the LSD test. It was observed that the microbial fertiliser did not adversely effect on the growth characteristics of lettuce and even had an ameliorative effect. The highest root dry weights were obtained in the T7, T3, T4 and T1 treatments. T7 treatment had 7.8% and 5.5% more dry weight than T1 and T4 respectively. Biochemical properties were significantly affected by treatments and it was significant that T2 and T4 had similar results. Because chemical fertilizer dose was reduced by 50% in the T2 treatment. The chemical fertiliser dose was reduced by 50% in the T2 treatment. Microbial fertiliser treatments had no negative effect on lettuce colour formation and even greener lettuces were harvested from T1, T7, T3 and T6 treatments. The highest total yield was obtained from T3 (30638.89 kg ha− 1) and T7 (30518.52 kg ha− 1). In other words, when the recommended dose of chemical fertiliser was reduced by 25%, higher yields were obtained. The yields in T3 and T7 were 6.71% and 6.29% higher than in T1, respectively. The marketable yield did not differ statistically between treatments except T0 and T5. Although there was no statistical difference, the highest numerical values belonged to the T7 (28907.41 kg ha− 1) and T3 (28814.82 kg ha− 1) treatments. In terms of marketable yield, T7 and T3 treatments gave 5.05% and 4.71% more than T1, respectively. Conclusions: It was determined that the microbial fertiliser used had no negative effect on the lettuce crop and even had an ameliorative effect. With the use of microbial fertiliser, both chemical fertilisation was reduced and higher yield and quality values were obtained from T3 and T7 treatments compared to chemical treatment alone (T1). In addition, the ameliorative effects of the foliar application of microbial fertiliser were also noted in the T7 treatment. As a result, this study showed that the use of microbial fertiliser could increase yield and quality and save at least 25% of fertiliser. [ABSTRACT FROM AUTHOR]

Precision water and fertilizer application technologies have emerged as crucial innovations in sustainable agriculture, addressing the pressing need to enhance crop yield and quality while optimizing resource use and minimizing environmental impacts. This review systematically explores the latest advancements in precision water and fertilizer application technologies. It examines the integration of advanced sensors, remote sensing, and machine learning algorithms in precision agriculture, assessing their roles in optimizing irrigation and nutrient management. The study evaluates various precision techniques, including micro-irrigation systems, variable rate technology (VRT), and predictive modeling, along with their implementation in diverse agricultural settings. Furthermore, the review addresses the challenges posed by soil environmental heterogeneity and emphasizes the necessity for a scientific index system to guide precise applications. Advanced irrigation methods, such as subsurface drip irrigation and micro-sprinkling, improve water-use efficiency and reduce salinity levels, while precision fertilization techniques optimize nutrient uptake and minimize leaching. The integration of machine learning and remote sensing facilitates real-time monitoring and adaptive management, resulting in increased resource use efficiency and reduced environmental pollution. However, the effectiveness of these technologies is contingent upon addressing soil heterogeneity and developing standardized application indices. This review highlights the novel combination of advanced sensing technologies and data analytics in precision agriculture, enabling targeted interventions tailored to specific field conditions. It underscores the importance of integrating soil microbial community dynamics and biochemical indicators with precision management practices to enhance soil fertility and crop performance. Furthermore, the development of predictive models and time series analysis tools represents a significant advancement in anticipating and responding to changing environmental conditions. Precision water and fertilizer application technologies offer substantial benefits for sustainable agricultural practices by improving crop yields, enhancing resource efficiency, and mitigating environmental impacts. The strategic integration of these technologies with tailored agricultural practices and robust monitoring systems is essential for optimizing nutrient cycling and maintaining soil health. Addressing existing challenges through interdisciplinary research and collaborative efforts will further advance the implementation of precision agriculture, contributing to long-term soil sustainability and global food security. [ABSTRACT FROM AUTHOR]

The contamination of soil and water with high levels of heavy metals (HMs) has emerged as a significant obstacle to agricultural productivity and overall crop quality. Certain HMs, although serving as essential micronutrients, are required in smaller quantities for plant growth. However, when present in higher concentrations, they become very toxic. Several studies have shown that to balance out the harmful effects of HMs, complex systems are needed at the molecular, physiological, biochemical, cellular, tissue, and whole plant levels. This could lead to more crops being grown. Our review focused on HMs' resources, occurrences, and agricultural implications. This review will also look at how plants react to HMs and how they affect seed performance as well as the benefits that HMs provide for plants. Furthermore, the review examines HMs' transport genes in plants and their molecular, biochemical, and metabolic responses to HMs. We have also examined the obstacles and potential for HMs in plants and their management strategies. [ABSTRACT FROM AUTHOR]

Salt stress is one of the abiotic stresses affecting crop quality and yield, and the application of exogenous brassinosteroids (BRs) can be used in response to salt stress. However, the function of BR in tea plants under salt stress remains to be elucidated. This study investigated the effects of exogenous spraying of BR on the malondialdehyde, soluble sugar, soluble protein, and antioxidant enzyme activities in tea plants under salt stress and explored the expression changes in genes related to the synthesis pathways of proline and secondary metabolites (flavonoids and theanine). The results show that 200 mM NaCl solution inhibits the physiology of tea plants, but 0.2 mg/L BR could partially reduce the damage by increasing photosynthetic pigments, osmoregulatory substances (such as soluble sugar, soluble protein, and proline), and the activity of antioxidant enzymes (including peroxidase, catalase, and superoxide dismutase), while decreasing the malondialdehyde content in salt-stressed leaves. The qRT-PCR experiment also shows that the genes related to the synthesis pathways of proline and secondary metabolites (flavonoids and theanine) were upregulated under salt stress, and the proline degradation genes were downregulated, thus promoting the accumulation of proline under salt stress in both varieties. When tea plants were subjected to salt stress, the expression of genes related to the synthesis of secondary metabolites was regulated accordingly to resist salt stress. Moreover, spraying BR had an obvious effect on improving the salt tolerance of tea plants. Therefore, exploring a way to improve the salt tolerance of tea trees provides a reference for the subsequent study of its salt tolerance mechanism, which is of great significance for expanding the introduction area of tea trees, increasing the planting area of tea trees, and improving the yield and quality of tea. [ABSTRACT FROM AUTHOR]

The perennial species Hypericum perforatum, commonly known as St. John's Wort, is well regarded for its medicinal attributes, particularly its strong anti-inflammatory and antidepressant effects. Hypericum perforatum L., commonly known as balsam, is extensively employed in both traditional and contemporary medicine due to its biological properties, although the plant's medicine distribution is limited to Europe and Asia. This study pioneers the investigation of Hypericum perforatum cultivation in a Mediterranean country, specifically Greece, focusing on the effects of irrigation and biostimulants of two distinct genotypes on quantitative (height, drug yield, essential oil yield) and qualitative (essential oil content and composition) characteristics. A field trial was conducted at the experimental farm of the Agrotechnology Department at the University of Thessaly, located in the Larissa region. This study investigated various testing varieties under different irrigation levels and biostimulant applications. The results underscore the importance of customized irrigation and biostimulant strategies in improving yield and quality during the second growing season, establishing a foundation for sustainable agricultural progress. Notably, irrigated treatments significantly increased plant height, dry biomass yield, and essential oil production per hectare. Specifically, the essential oil yields for irrigated treatments were nearly double those of rainfed treatments, with 219 kg/ha for rainfed and 407 kg/ha for irrigated. The genotype played a crucial role in influencing production potential, height, flowering, and essential oil composition, with one variety demonstrating biennial blooming and modified essential oil compounds. While irrigation positively impacted yield, it also reduced certain essential oil compounds while increasing β-pinene content. The effects of biostimulants varied based on their composition, with some enhancing and others diminishing essential oil content. Notably, the biostimulant containing algae with auxin and cytokinin (B2) proved to be the most effective in improving the therapeutic profile. This study offers valuable insights into the cultivation of H. perforatum in a Mediterranean climate, highlighting the necessity for ongoing research into native populations, irrigation levels, biostimulants, fertilization, and other factors that affect crop yield and quality characteristics. [ABSTRACT FROM AUTHOR]

BACKGROUND RESULTS CONCLUSION Oenanthe javanica (Blume) DC., also known as water dropwort, is an aquatic plant species native to various regions across Asia. Despite its numerous health‐promoting effects, research on improving its quality remains limited. The present study aimed to identify the optimal soil conditions required for high‐quality water dropwort production.Fifty crop and soil samples from South Korean farms were analyzed for their functional content, soil chemical properties and plant tissue components. The results indicated that crop samples with lower functional components had higher soil pH, electrical conductivity (EC) and exchangeable cations than those with higher functional components. High‐quality crop samples exhibited neutral soil pH and low EC values, suggesting better nutrient availability for crop growth and reduced salt stress as a result of mineral accumulation in soil.These findings suggest that soils affected by excessive salinity may create suboptimal soil conditions for water dropwort cultivation, potentially compromising crop quality. © 2024 Society of Chemical Industry. [ABSTRACT FROM AUTHOR]

Crop rotation can affect crop productivity and soil characteristics; however, the impact of preceding crops on the yield and quality of foxtail millet and the relationship between these two factors have not been well characterised. To further investigate the effects of preceding crops on foxtail millet, this study cultivated maize, mung beans, soybeans, potatoes, and proso millet as the preceding crops and rotated them with Zhangzagu10 foxtail millet. A randomised complete block design was employed for the study, and soil and millet samples were collected after harvest. The performance of Zhangzagu10 foxtail millet grown with five different preceding crops was explored by measuring yield and quality indicators and comprehensively analysing various quality traits and their interrelationships. The physicochemical and nutritional characteristics of millet grains were significantly influenced by the preceding crop. The yield of Zhangzagu10 cultivated after mung bean was significantly higher (8277.47 kg/hm 2) than that of millet cultivated after the other crops. Additionally, the colour characteristics (a*, b*, and △E values) were superior, with the rice exhibiting the strongest yellow colour. Foxtail millet preceded by soybean showed a significantly higher thousand-grain weight, indicating well-filled grains. Furthermore, this treatment had rich contents of carotenoids and polyphenols at 34.79 mg/kg and 76.27 mg/100 g, respectively, and significantly higher levels of minerals such as V, Cr, Fe, Co, Ni, Se, and Sn compared to the other treatments. Foxtail millet following mung bean and soybean demonstrated excellent grain quality, featuring high breakage values and gelatinisation, along with low cooking values and gelatinisation temperatures and moderately low setback values. Zhangzagu10 cultivated after potato exhibited a polyphenol content of 67.13 mg/100 g, showcasing strong antioxidant effects. In contrast, proso millet preceded by foxtail millet had relatively lower content levels across various substances, resulting in an overall subpar performance. In summary, selecting appropriate preceding crops can significantly enhance both the yield and quality of Zhangzagu millet. Moreover, soybeans, potatoes, and mung beans can be effectively incorporated into a sustainable crop rotation plan for millet. In the future, we aim to further explore the interaction mechanisms between preceding crops and millet to optimise rotation strategies and improve foxtail millet quality. [ABSTRACT FROM AUTHOR]

It is important that the system of radiological protection provides for an appropriate level of human and environmental protection without unduly limiting desirable human actions, adversely affecting sustainable development, or resulting in unintended consequences. As such, there has been increasing interest in incorporating monitoring and assessment of ecosystem services in many contexts related to environmental protection and policy making. Ecosystem services are the benefits humankind derives from the workings of the natural world, i.e., from ecosystems, and are crucial to human well-being by, for example, providing nutritious food and clean water; regulating air quality; supporting crop pollination and soil formation; and offering recreational, cultural, and spiritual benefits. The mandate of the recently formed Task Group 125 is to explore and share knowledge on ecosystem services by providing background and recommendations on if and how ecosystem services can support a more holistic approach to environmental radiological protection (ERP) and, as specifically relevant to ERP, explore how the system of radiological protection contributes to the delivery of sustainable development. This paper provides an overview of ecosystem services and an introduction to the ongoing work of Task Group 125. [ABSTRACT FROM AUTHOR]

Abscisic acid (ABA), one of the six major plant hormones, plays an essential and irreplaceable role in numerous physiological and biochemical processes during normal plant growth and in response to abiotic stresses. It is a key factor in balancing endogenous hormones and regulating growth metabolism in plants. The level of ABA is intricately regulated through complex mechanisms involving biosynthesis, catabolism, and transport. The functionality of ABA is mediated through a series of signal transduction pathways, primarily involving core components such as the ABA receptors PYR/PYL/RCAR, PP2C, and SnRK2. Over the past 50 years since its discovery, most of the genes involved in ABA biosynthesis, catabolism, and transport have been characterized, and the network of signaling pathways has gradually become clearer. Extensive research indicates that externally increasing ABA levels and activating the ABA signaling pathway through molecular biology techniques significantly enhance plant tolerance to abiotic stresses and improve plant productivity under adverse environmental conditions. Therefore, elucidating the roles of ABA in various physiological processes of plants and deciphering the signaling regulatory network of ABA can provide a theoretical basis and guidance for addressing key issues such as improving crop quality, yield, and stress resistance. [ABSTRACT FROM AUTHOR]

Aflatoxins, produced by aflatoxigenic Aspergillus section Flavi fungi, commonly occur in groundnut and maize grown in Mozambique and have long been associated with high prevalence of liver cancer, stunting, and restricted access to lucrative international markets. Effective aflatoxin control options in the country are limited and not adequately explored. Biocontrol products based on atoxigenic strains of A. flavus provide viable aflatoxin mitigation measures but require development for Mozambique. Four hundred and sixty-eight (468) and 558 groundnut and maize farmers, respectively, voluntarily evaluated the effectiveness of two biocontrol products (Aflasafe MWMZ01 and Aflasafe MZ02), each containing as active ingredients four distinct atoxigenic isolates of A. flavus belonging to native vegetative compatibility groups (VCGs), at preventing aflatoxin contamination and displacement of aflatoxigenic fungi for 2 years in various agro-ecologies. Most groundnut and maize treated with the biocontrol products were below maximum levels for food in the European Union (EU; 85%; p < 0.01) and the United States (US; 99%; p < 0.01). In contrast, most non-treated maize and groundnut (ranging from 38 to 70%; p = 0.05) were above the EU and US maximum allowable levels for food. Aflatoxin reductions ranged from 78 to 98% (p < 0.01) in treated groundnut, and from 61 to 93% (p < 0.01) in treated maize. Toxigenic fungi were almost completely displaced from soils and crops by the applied atoxigenic active ingredients. This study revealed that the atoxigenic based biocontrol technology is effective in Mozambique at displacing aflatoxigenic fungi and reducing aflatoxin accumulation in both groundnut and maize but a combination with other management tools is encouraged for better retention of crop quality along the value chain. [ABSTRACT FROM AUTHOR]

The experiment was conducted to study the effect of NH4+:NO3- ratio and spraying with seaweed extract on the quality indicators of Swiss chard. Nitrate or ammonium fertilization was used alone at a concentration of 400 mg. L-1, or a balanced combination of both at a ratio of 200:200 mg L-1 in combination with spraying with SWE extract at levels of 0, 3, 6 g L-1. Generally, the results showed that the studied quality indicators were affected differently by different fertilization levels and combinations. As, the results showed that the interaction of NH4+:NO3- ratio (200:200) and seaweed extract at a concentration of 6 g L-1 led to the highest significant increase in leaf content of ascorbic acid to 44.92 mg 100 g-1 fresh weight and protein to 6.62%. However, other qualitative indicators, leaf content of oxalic acid 87.85 mg/100 g-1, oxalic acid/calcium ratio 1.73, and number of calcium oxalate crystals 265.13 crystals, recorded the highest values in the nitrate 400: 0 ammonium treatment in combination with the presence of SWE at a concentration of 3 g/L-1. [ABSTRACT FROM AUTHOR]

Self-fertile cultivars of sweet cherry (Prunus avium) produce heavy crop load that is often associated with small and poor-quality fruits. Therefore, a crop load-management strategy is required to improve the quality of the fruit. In this study, the effect of blossom thinners on fruit set, yield and quality of the fruits was evaluated. Three types of blossom thinners were used at three different concentrations viz., ammonium thiosulphate (ATS) (1, 1.5 and 2%), naphthaleneacetic acid (NAA) (20, 40 and 60 ppm) and corn oil emulsion (1, 2 and 3%). These were sprayed at 80% of the bloom stage. The vegetative, flowering, fruit set and yield parameters were observed and recorded. Fruit quality was evaluated by measuring the physical and chemical characteristics of the fruits at the harvest stage. Negative correlation was found between fruit set and quality of fruit. The reduction in the crop load was associated with enhanced vegetative growth, including higher leaf:fruit ratio, higher supply and availability of photosynthates to the remaining fruitlets and reduced fruit firmness and titratable acidity. Fruit size, weight, volume, hue value, chroma value, soluble solid content (SSC), total sugars, SSC/acid ratio, anthocyanin and ascorbic acid content were enhanced as a result of thinning. The foliar spray of ATS at 2% and NAA at 60 ppm, at 80% bloom proved to be the most effective in reducing crop load and enhancing the fruit quality. [ABSTRACT FROM AUTHOR]

Soybean production faces many constraints with several factors, such as biotic and abiotic factors, and the crop management practices where inadequate nutrient management leads to a decline in production potential of the crop. Among the biotic factors, exploitation of resources by weeds not only causes a decline in production but also decreases the crop quality. Managing the weeds during the critical period of crop weed competition plays outstanding role in maximizing soybean production. In order to study the influence of integrated nutrient and weed management on nutrient dynamics and yield optimization of soybean an experiment was conducted in Split Plot Design with three nutrient management treatments in main plot {100% recommended dose of fertilizer (RDF), 75% RDF + 25% N through farmyard manure (FYM) + Phosphate solubilizing bacteria (PSB) and 50% RDF + Rhizobium + PSB} and five weed management treatments in the sub-plot (Hand weeding at 15, 30 and 45 DAS, Mechanical weeding at 20 and 40 DAS, Pendimethalin @ 1 kg a.i. ha−1 PE fb Hand weeding at 30 DAS, Propaquizafop @ 0.075 kg a.i. ha−1 PoE fb Hand weeding at 45 DAS, and Weedy check as control). The results indicated that application of 75% RDF + 25% N through FYM + PSB recorded the highest seed yield, nutrient content in seed and uptake of N, P, K, and S in the seed and stover, microbial population, and soil nutrient status. Highest partial factor productivity was recorded under 50% RDF + Rhizobium + PSB. Under weed management, hand weeding recorded the highest growth, yield attributes and nutrient content, but was found to be at par with Pendimethalin @ 1 kg a.i. ha−1 PE fb Hand weeding at 30 DAS and Propaquizafop @ 0.075 kg a.i. ha−1 PoE fb Hand weeding at 45 DAS. Application of 75% RDF + 25% N through FYM + PSB and pendimethalin @ 1 kg a.i. ha−1fb hand weeding at 30 DAS proves to be an effective strategy for soybean cultivation. The experiment was conducted at the experimental farm of School of Agricultural Sciences, Nagaland University, Medziphema, India. [ABSTRACT FROM AUTHOR]

Fluoride is one of the most highly toxic soil and air pollutant prevalent in aquatic as well as terrestrial ecosystems. It seriously affects crop plant quality and productivity worldwide. Although a crop with great nutritional value; oats are susceptible to a variety of abiotic stresses. In the current study, the responses of six oat cultivars (JHO-99-1, JHO-2009, BJ-2012, KANT, JHO-822, and JHO-2000) to fluoride stress on growth measurements, photosynthetic pigments, and photosynthetic parameters have been studied. The fluoride (200 and 400 mg/kg) was added to the soil artificially, seeds were sown and the pots were kept under controlled conditions. Another set of plants without the fluoride treatment (0 mg/kg) were labeled as control. The experiment was conducted in a plant growth chamber and fluoride was artificially added to the soil prior to seeding. All six oat cultivars subjected to fluoride stress exhibited an overall decrease in plant growth when compared to the control. Further under fluoride stress, while the oat cultivars also showed a decrease in chlorophyll content and different photosynthetic parameters but on the contrary the antioxidant activities were increased. While the cultivar JHO-822 was most affected under fluoride stress, JHO-99-1 showed tolerance toward fluoride toxicity in comparison to other cultivars JHO-2009, BJ-2012, KANT, JHO-822, and JHO-2000. It is concluded that the tolerance or susceptibility of a cultivar to fluoride can be well correlated with various parameters studied in the present study. [ABSTRACT FROM AUTHOR]

It is possible to boost nutrient accumulation in grain, enhance grain production, and enhance the soil's physical characteristics through the use of bio-fertilizers, zinc delivery methods, and organic and inorganic fertilizers integrated in a balanced manner. Often, zinc (Zn) is insufficient in soil due to a lack of organic matter additions to the soil. The world's food supply is secured by Zn, a crucial micro nutrient. The effect of different zinc application methods and integrated nutrient management methods were tested on wheat crops based on crop production, nutrient uptake, and soil physico-chemical characteristics. Three distinct bio fertilizers, namely Azotobacter, Phosphate solubilizing bacteria, and Zn solubilizing bacteria were used in the experiment. There was a significantly greater number of effective tillers m−2 to the tune of 385 and 388 tillers m−2 and DTPA exchangeable Zn in the final soil of about 0.70 mg/kg with the soil and foliar application of zinc compared with the other treatments. A variety of integrated nutrient management treatments increased crop productivity and soil physico-chemical parameters by increasing soil nutrient availability. The current study indicates that adding organic manure is essential to sustainably preserving soil quality and crop productivity. It should therefore be included in nutrient management plans for crops that require a lot of nutrients. [ABSTRACT FROM AUTHOR]

The development of sensors is opening new avenues in several fields of activity. Concerning agricultural crops, complex combinations of agri-environmental dynamics, such as soil and climate variables, are now commonly recorded. These new kinds of measurements are an opportunity to improve knowledge of the drivers of crop yield and crop quality at harvest. This involves renewing statistical approaches to account for the combined variations of these dynamic variables, here considered as temporal variables. The objective of the paper is to estimate an interpretable model to study the influence of the two combined inputs on a scalar output. A Sparse and Structured Procedure is proposed to Identify Combined Effects of Formatted temporal Predictors, hereafter denoted S  pice FP. The method is based on the transformation of both temporal variables into categorical variables by defining joint modalities, from which a collection of multiple regression models is then derived. The regressors are the frequencies associated with joint class intervals. The class intervals and related regression coefficients are determined using a generalized fused lasso. S  pice FP is a generic and exploratory approach. The simulations we performed show that it is flexible enough to select the non-null or influential modalities of values. A motivating example for grape quality is presented. [ABSTRACT FROM AUTHOR]

Natural fibers have garnered considerable attention owing to their desirable textile properties and advantageous effects on human health. Nevertheless, natural fibers lag behind synthetic fibers in terms of both quality and yield, as these attributes are largely genetically determined. In this article, a comprehensive overview of the natural and synthetic fiber production landscape over the last 10 years is presented, with a particular focus on the role of scientific breeding techniques in improving fiber quality traits in key crops like cotton, hemp, ramie, and flax. Additionally, the article delves into cutting-edge genomics-assisted breeding techniques, including QTL mapping, genome-wide association studies, transgenesis, and genome editing, and their potential role in enhancing fiber quality traits in these crops. A user-friendly compendium of 11226 available QTLs and significant marker-trait associations derived from 136 studies, associated with diverse fiber quality traits in these crops is furnished. Furthermore, the potential applications of transcriptomics in these pivotal crops, elucidating the distinct genes implicated in augmenting fiber quality attributes are investigated. Additionally, information on 11257 candidate/characterized or cloned genes sourced from various studies, emphasizing their key role in the development of high-quality fiber crops is collated. Additionally, the review sheds light on the current progress of marker-assisted selection for fiber quality traits in each crop, providing detailed insights into improved cultivars released for different fiber crops. In conclusion, it is asserted that the application of modern breeding tools holds tremendous potential in catalyzing a transformative shift in the textile industry. KEY POINTS: Natural fibers possess desirable properties, but they often lag behind synthetic fibers in terms of both quality and quantity. Genomic-assisted breeding has the potential to improve fiber quality traits in cotton, hemp, ramie, and flax. Utilizing available QTLs, marker-trait associations, and candidate genes can contribute to the development of superior fiber crops, underscoring the significance of advanced breeding tools. [ABSTRACT FROM AUTHOR]

Most farmers rely heavily on inorganic fertilisers to enhance the production of horticultural crops. This can lead to environmental pollution, soil degradation and even human health problems. Reducing the usage of inorganic fertilisers by incorporating organic fertilisers (e.g. moringa leaf powder (MLP) and chicken litter (CL)) into inorganic fertiliser blends is likely to impact the environment less negatively than the sole application of inorganic fertiliser. The aim of this study was to produce sweet peppers using a combination of organic and inorganic fertilisers. In a controlled environment, MLP (20 g) was blended with CL (30 g) and inorganic fertiliser (Nitrogen Phosphorus and Potassium (NPK 3:1:3)) at different concentrations (10 g (33,33%), 20 g (66,66%), and 30 g (100%)), and applied to the root zone of transplanted sweet pepper seedlings. Treating sweet pepper plants with NPK (20 g) + CL (30 g) + MLP (20 g) resulted in the highest yield, with fruit containing higher total carotenoid concentrations than other treatments. Neither leaf number nor plant height was positively correlated with fruit weight per plant. Leaf chlorophyll and fruit carotenoids were present in the highest concentration in the chemical fertiliser (20 g) + CL (30 g) + MLP (20 g) (T11). Based on the yield, the best-performing combination (3:1:3 fertiliser with CL and MLP), optimal carotenoid concentration on pepper fruits was obtained on chemical fertiliser (20 g) + CL (30 g) + MLP (20 g), suggesting that peppers perform well, despite chemical fertiliser reduction from 30 to 20 g per plant, if CL and MLP are added to the medium. [ABSTRACT FROM AUTHOR]

Cassava is a crop that has high demand in Indonesia, marked by increasing production levels over time. In addition to quantity, crop quality must be maintained, one of which is by paying attention to disease symptoms. Disease symptoms that appear on cassava leaves can be detected by visual inspection. However, more knowledge is needed to distinguish the symptoms of one disease from another. One solution to this problem is the use of convolutional neural networks (CNN) for disease classification. The author uses a CNN model for this problem. The performance assessment parameters of the CNN model used are accuracy, precision, recall, and F1-score. This study will use two architectures in transfer learning, namely EfficientNetB4 and Inception-V3. Both of these architectures are still rarely used in related case studies. The purpose of increasing the number of parameters is to find the optimal configuration of the optimizer and learning rate that can maximize model performance. By increasing the number of parameters and utilizing two architectures in transfer learning, it is hoped that the model's ability to handle the complexity of the problem of classifying images of cassava leaves with disease can be improved. The focus of this study will also be focused on the application of the EfficientNet-B4 and Inception-V3 architectures with a hyperparameter tuning scheme to improve model performance. Therefore, this research is expected to provide a superior contribution in the development of CNN for disease classification in cassava leaves, with better and more accurate performance. [ABSTRACT FROM AUTHOR]

Salt stress affects the growth, metabolism, yield, and quality of crops. To adapt to high-salt environments, plants form various regulatory mechanisms. Salt over sensitive (SOS) is the key gene of SOS signal transduction pathway. As a member of the SOS3 subfamily, the function of SOS3-3 under salt stress has not been reported. To verify the function of SOS3-3 and the morphological and physiological parameters, the expression of genes related to stress were compared between the SOS3-3 overexpressed (OESOS3-3) and silenced tomato (VSOS3-3) at control and 10 days' NaCl treatment. The results showed that, compared with the control (Ve), the plants of VSOS3-3 were shorter under salt stress, with curled leaves and abscission. The fresh and dry weights, Fv/Fm, total chlorophyll content, antioxidant enzyme activities, and proline content of VSOS3-3 significantly decreased, while the relative conductivity, hydrogen peroxide (H2O2), and Malondialdehyde (MDA) content of VSOS3-3 plants significantly increased compared to that of WT, respectively. Compared to the wild-type (WT), OESOS3-3 plants were less damaged by salt stress, with significantly higher plant height, fresh and dry weights, Fv/Fm, total chlorophyll content, antioxidant enzyme activity, and proline content. However, the relative conductance, H2O2, and MDA content were significantly lower in OESOS3-3 than WT. The expression levels of SOS1, SOS2, LKT1 (ion transport-related gene), APX1 (ROS signaling pathway-related gene), P5CS (osmoregulation-related gene), and ABF4 (ABA signaling pathway-related gene) were significantly lower in VSOS3-3 than Ve, but significantly higher in OESOS3-3 than in WT. These results suggested that SOS3-3 regulate salt tolerance by influencing physiological and biochemical changes and the expression of genes related to stress response. This study revealed the mechanism of SOS family participating in regulating tomato salt tolerance, providing a theoretical basis for improving tomato salt tolerance. [ABSTRACT FROM AUTHOR]

This study explores agroecological practices designed to improve soil quality and crop yield in small-scale agriculture, focusing on soil inoculation with beneficial bacteria over conventional fertilizers. Conducted at the SZIA Agroecological Garden MATE in Gödöllő, Hungary, the research utilizes 12 plots to evaluate different conservation tillage methods, including minimum and no-tillage, with and without microbial inoculation. Commenced in 2022, this study centers on potato cultivation (Solanum tuberosum L.) and includes comprehensive chemical and physical analyses of soil and harvested potatoes, alongside continuous monitoring of growth. Statistical analysis using One-way Anova in R revealed p-values predominantly above 0.05, indicating no significant differences across most parameters, though variations in soil plasticity and pH (KCl) were noted. Results suggest that substantial treatmeent differences may require a longer observation period. Notably, plots with microbial inoculation exhibited higher harvest weights and tuber sizes compared to control plots. Additionally, trends and interactions were found between weed abundance, total harvest, and plant height. The findings indicate that the benefits of integrated agroecological practices, including conservation tillage, may take time to materialize, emphasizing the necessity for extended observation. This research lays the groundwork for future studies, underscoring the importance of patience in achieving improvements in soil health and crop quality through sustainable agricultural methods. [ABSTRACT FROM AUTHOR]

In the context of climate change, characterized by an increase in average precipitation, agricultural pests have demonstrated enhanced adaptability to high humidity and other challenging environmental conditions, thereby intensifying the need for effective prevention and control measures. Among these pests, Megoura crassicauda (Hemiptera: Aphididae) represents a significant threat to both crop yield and quality. The aim of this study was to investigate the physiological behavioral changes and the regulatory mechanisms of trehalose metabolism in M. crassicauda under conditions of high-humidity stress. Additionally, we sought to explore the survival strategies and water regulation mechanisms employed by this insect, with the goal of identifying new biological targets for its management. The findings indicated that, despite an increase in environmental humidity, there was no significant difference in the survival rate of M. crassicauda. However, a reduction in developmental duration and reproductive capacity was observed. Increased humidity correlated with elevated trehalose levels and decreased glycogen content. Notably, although the relative expression levels of trehalase (TRE) and Trehalose-6-phosphate synthase (TPS) were downregulated, Trehalose-6-phosphate phosphatase (TPP) expression was upregulated. These results suggest that high humidity environments significantly influence the growth, development, and trehalose metabolism of M. crassicauda. It appears that adaptations to high-humidity conditions in M. crassicauda are facilitated by modulations in the types and distribution of sugars within their bodies, achieved through alterations in the expression of genes associated with trehalose metabolism. In summary, the results of this study indicate that high humidity significantly affects the development and sugar metabolism of M. crassicauda. These changes may represent one of the potential mechanisms underlying its environmental adaptation and migration. This insight provides valuable assistance for predicting the occurrence and migration of the pest M. crassicauda. [ABSTRACT FROM AUTHOR]