Increase In Yield Research Articles

Mechanical force-induced luminescence enhancement and chromism of AIE-active anthracene chalcone derivative

It is highly desirable and significant to integrate the remarkable properties of mechanical force-induced luminescence enhancement and aggregation-induced emission (AIE) within a single simple molecule. In this study, a new novel AIE-active anthracene-based chalcone derivative APBP ((E)-1-(4-(anthracen-9-yl)phenyl)-3-(4-bromophenyl)prop-2-en-1-one) was designed and synthesized, and its photophysical properties, aggregation-induced emission behavior, and mechanical force-induced luminescence properties were systematically investigated. It is worth noting that, due to its high sensitivity to mechanical force, APBP exhibited reversible high-contrast turn-on mechanofluorochromism in response to mechanical force, accompanied by a substantial increase in the solid fluorescence quantum yield (QY), from 0.4% (pristine) to 36.8% (upon grinding). Additionally, a large red-shift of 46 nm from 488 nm to 534 nm was observed upon grinding. In other words, the prominent enhanced and larger red-shifted emission endows it with the characteristics of a high-contrast mechanofluorochromism material. The reversible phase transition between the well-ordered crystalline and amorphous states was responsible for the mechanical force-induced luminescence enhanced and chromism properties, as evidenced by powder X-ray diffraction (PXRD), field emission scanning electron microscopy (FESEM), and differential calorimetric scanning (DSC) results. Furthermore, X-ray single-crystal diffraction results revealed that the observed fluorescence enhancement behavior was attributable to the disruption of both the π-π stacking and the H-Br interactions.

Harvesting Light: The Interrelation of Spectrum, Plant Density, Secondary Metabolites, and Cannabis sativa L. Yield

The approaching legalisation and associated increasing demand for medicinal and recreational Cannabis sativa L. will lead to a growing relevance for lighting systems designed for Cannabis sativa L. The interplay between plant density, light spectrum, light distribution, yield, and secondary metabolite distribution within the plant has not yet been studied. To fill this knowledge gap, a CBD-dominant Cannabis sativa L. strain was grown in a greenhouse experiment with two plant densities (2.66 and 12 plants −1 m−2) under two different light spectra. The chosen light spectra were two LED fixtures, Solray385 (SOL) and AP67, with an R: FR ratio of 12.9 and 3.7, respectively. The results indicated that light-induced effects on individual plants can be transferred to the plant stock. A low R: FR ratio induced a 16% increase in dry flower yield in the last ten days of flowering, while a change in the light spectrum could increase the potential maximum plant density per square metre. The two spectra did not affect (CBD + CBDA) yield, as a lower flower yield compensated for a higher concentration. CBDA concentration was not significantly affected by plant density. In contrast, the higher density led to an increased total cannabidiol concentration (CBD + CBDA) and altered the distribution of terpenes. Here, the light distribution over the plant stock is particularly decisive, as a more homogenous illumination led to an increased terpene concentration of up to 41%. A Photon Conversion Efficacy (PCE) of 0.05 g mol−1 under SOL and 0.06 g mol−1 under AP67 was achieved. Plants in the centre under the highest light intensity of 1200 PAR showed up to 48% reduced efficacy. These results strongly suggest that light intensity needs to be fine-tuned to the cultivation system to prevent a reduction in efficacy, resulting in yield and quality losses.

MoS2–CdS Composite Photocatalyst for Dye Degradation: Enhanced Apparent Quantum Yield and Reduced Energy Consumption

AbstractThis study investigates the visible light‐assisted photocatalytic degradation of rhodamine B (Rh B) dye using MoS2–CdS nanocomposite. Two crucial operational parameters, illumination time and the weight ratio of MoS2 to CdS, are systematically examined. Approximately, 91.9% of Rh B solution with a concentration of 10 mg/L is degraded by the MoS2–CdS photocatalyst under 60 min of illumination, with a photocatalyst dosage of 0.5 g/L. The results are consistent with a pseudo‐first‐order kinetic model, wherein the degradation rate constant of CdS increases fourfold after amalgamation with MoS2. The formation of the composite with MoS2 results in 1.72 times increase in the apparent quantum yield and 3.15 times decrease in the electrical energy consumption per order of CdS nanorods under similar experimental conditions. The investigation also comprehensively explores the reactive species responsible for Rh B degradation under visible light in the presence of MoS2–CdS photocatalyst. This analysis confirms that both hydroxyl and superoxide anion radicals play a dominant role in Rh B degradation. These findings underscore the potential practical applications of MoS2–CdS nanorods in eco‐friendly water treatment technologies, offering efficient and sustainable solutions to contemporary environmental challenges.

Nitrogen Assimilation, Biomass, and Yield in Response to Application of Algal Extracts, Rhizobium sp., and Trichoderma asperellum as Biofertilizers in Hybrid Maize

Nitrogen is essential for plants’ growth, yield, and crop quality, and its deficiency limits food production worldwide. In addition, excessive fertilization and inefficient use of N can increase production costs and cause environmental problems. A possible solution to this problem is the application of biofertilizers, which improve N assimilation and increase biomass and yield. Therefore, the objective of this research was to evaluate the impact of the application of a combination of green and red algae (Ulva lactuca and Solieria spp.), Rhizobium sp., Trichoderma asperellum, and the combination of the above three biofertilizers on N assimilation. A completely randomized design was performed, with 10 plants per treatment and five treatments: T1 = control; T2 = algal extracts; T3 = Rhizobium sp.; T4 = T. asperellum; T5 = T2 + T3 + T4. Our analyses showed that the biofertilizers’ application was better than the control. The application of Rhizobium sp. had the best performance amongst all of the biofertilizers, with the highest nitrate reductase activity in maize leaves, which enhanced photosynthesis, increasing biomass and yield. The use of Rhizobium sp. showed increases in biomass (13.4%) and yield (11.82%) compared to the control. This research shows that biofertilizers can be a key component for sustainable agricultural practices.

Brassinosteroids: An Innovative Compound Family That Could Affect the Growth, Ripening, Quality, and Postharvest Storage of Fleshy Fruits

Brassinosteroids (BRs), a new family of plant hormones, have been used in a range of food staples, oil crops, and cereals. However, the scientific literature pertaining to their use in fleshy fruits remains scarce. This review presents, for the first time, the knowledge developed over the last decade on the role of BR preharvest treatments in crop yield and fruit quality properties at harvest and during storage, although information about the effects of BR postharvest treatments is also addressed. This review revealed that 24-epibrassinolide is the most used BR analogue in research experiments, either as a pre- or postharvest treatment, with doses ranging from 0.1 to 15 μM. Additionally, most of the research has been conducted on non-climacteric fruit species. In most of these preharvest treatments, an increase in crop yield has been reported, as well as enhanced anthocyanin concentration in red-coloured fruit. In addition, increases in firmness, total soluble solids, and phenolic content have also been observed. On the other hand, BR postharvest treatments led to the maintenance of these fruit quality properties during storage due to increased antioxidant systems, either enzymatic or non-enzymatic ones. Finally, as future perspectives, it is proposed to extend the research about BR treatments to other climacteric fruits and to deepen the knowledge of how BRs regulate physiological aspects from preharvest to postharvest. Furthermore, it is essential to investigate the role of BRs in the prevention of rot and biotic stress.

Nitrogen fertilization and sowing date as wheat climate change adaptation tools under Mediterranean conditions

In the current situation, climate change has substantially disturbed precipitation occurrence in the Mediterranean region, by increasing its variability and decreasing the total annual amount, which both negatively affect rainfed crop productivity. We hypothesize that a simple cost-effective method for enhancing crop adaptation to new climate conditions would consist of modifying the crop sowing date. Traditional nitrogen (N) fertilization rates could also be adjusted to the current situation given the interdependent water/N relation in plant nutrition. Based on this hypothesis, during a 4-year field experiment with bread wheat (Triticum aestivum L., var. Pistolo), the effects of three sowing dates (October, November, February) and three N fertilization rates (54kgN ha-1, 27kgN ha-1, 0kgN ha-1) on crop development, yield, grain quality, soil N content and N use efficiency were analyzed. The results showed that water scarcity was the predominant limiting factor, because it outweighed N deficiency with half-fertilized crops being as productive as fully fertilized treatments. Nevertheless, sowing date was the most influential factor, with up to a 30% yield increase noted for the November-sown wheat compared to that sown in October, while delaying wheat sowing to February decreased crop yields. Grain protein content remained the same between the November- and October-sown crops, but increased in the February one crops. Optical sensor measurements showed that an optimal assessment of the current water/N nutritional status of crops can be achieved with these tools.

Enhancement of soil humic acid hydrophobicity by 5 consecutive years of full-amount straw shallow-mixed field return

Crop yield is directly influenced by the storage and stabilisation of soil organic carbon (SOC), which is determined by the hydrophobicity of soil humic acid (HA). Changes in soil HA hydrophobicity, humic substances, SOC and crop yield were compared after the application of different amounts of straw returns in the field, and the contribution of straw application in enhancing HA hydrophobicity was examined. The treatments included no straw application and soil stirring, no straw application with soil stirring, application of half-amount straw shallow-mixed field return, application of full-amount straw shallow-mixed field return and application of double-amount straw shallow-mixed field return. Using elemental analysis, infrared spectroscopy and fluorescence spectroscopy, the structural hydrophobicity of soil HA was exhaustively characterised. The results showed that the hydrogen to carbon ratio of HA increased by 11.46%, the ratio of hydrophobic to hydrophilic intensity increased by 21.02%, and the ratio of peak B to peak A fluorescence intensity decreased by 32.21% after 5 years of full amount straw shallow-mixing field return compared to no straw application and soil stirring. The observed results indicate that the augmentation in hydrophobicity stimulates the formation of HA, enhances soil humification, elevates SOC content by 9.78% and potentially contributes to the ultimate crop yield increase by 22.98%. Compared with stirring the soil, the contribution rate of applying full amount of straw to increase HA hydrophobicity was 49.57-62.05%, and the contribution rate to increase SOC and yield were 54.59% and 76.37%, respectively. While stirring the soil contributed to increasing hydrophobicity, straw application persisted as the primary factor in enhancing hydrophobicity. The findings of this study have significant implications for understanding the mechanism by which straw improves HA hydrophobicity, thereby facilitating carbon sequestration and increasing crop yield.

ИССЛЕДОВАНИЕ ПРУТКОВО-КОЛЬЧАТОГО КАТКА В ПРОИЗВОДСТВЕННЫХ УСЛОВИЯХ

One of the methods of surface tillage is its rolling, which improves the contact of seeds with the soil and creates optimal porosity to provide the necessary amounts of moisture and air for plant seeds. The optimal parameters of the roller for high-quality soil rolling were determined. The new design of the rod-ring roller proposed by us was developed taking into account the guaranteed fulfillment of agrotechnical requirements. Production studies have shown that favorable conditions for seed development are created in the soil processed by the proposed roller, which contributes to the acceleration of plant development and the formation of a larger number of grains in an ear. The optimization criterion kko, taking into account the conformity of the soil to agrotechnical requirements both in density and in fractional composition after rolling crops with a rod-ring roller was 0.74, while a smooth water-filled roller provided kko = 0.63. The optimum value of kko is achieved at a specific pressure of the roller on the soil of 1533.3 N/m, a rotation frequency of the disks with rings of 1300 min1, a speed of the rod-ring roller of 15 km/h and a gear ratio of the passive drive of 5.21. The use of the roller developed by us for compacting the soil after sowing spring wheat led to an increase in the height of seedlings by 14.5% compared to the use of a conventional smooth water-filled roller on the 7th day. In addition, the use of the developed rod-ring roller increased the yield of spring wheat by 1.2 c/ha, which ensured an increase in yield by 7.4% compared to the control variant, in which a widely used smooth water-filled roller was used. Thus, the use of a rod-ring roller improves the quality of the soil and increases the yield of spring wheat by 1.2 c/ha, which is 7.4% more than when using a smooth waterfilled roller.

Visual Search Interactive Model for Artificial Intelligence Robotics Model forthe Agricultural Field Analysis

The Visual Search Interactive Model for Artificial Intelligence (AI) is designed to enhance the efficiency and effectiveness of visual data analysis across various applications. By leveraging advanced computer vision techniques and machine learning algorithms, this model enables AI systems to interpret and analyze visual information in real-time, facilitating tasks such as object recognition, image classification, and scene understanding. The interactive nature of the model allows users to engage with the AI, refining searches and improving outcomes through iterative feedback. This paper introduces the Auxiliary Clustering k-means Machine Learning (AC k-means ML) model, designed to enhance agricultural efficiency through advanced data analysis and robotic integration. The study evaluates the performance of the AC k-means ML model using a dataset comprising 1,950 samples, achieving an overall accuracy of 91.5% and a precision of 89.2%. Key performance metrics such as F1 scores averaged 88.6%, with the highest individual cluster accuracy reaching 96% for Cluster 10. In addition to data classification, the model facilitated the completion of 250 tasks with a remarkable success rate of 92%, while maintaining an average task completion time of 15.4 minutes and an energy consumption of just 0.5 kWh per task. The implementation of the AC k-means ML model resulted in a 15% increase in crop yield and substantial cost savings estimated at $2,000. With a user satisfaction score averaging 8.7 and an adaptability score of 9.0, the findings indicate that the integration of machine learning and robotics significantly optimizes agricultural processes, promoting sustainability and efficiency in farming practices.

Sodium lignosulfonate-assisted alkaline hydrothermal pretreatment improves the production of humic-like substances from lignocellulosic biomass waste residues

In order to provide key precursors for humic-like substances formation via alkaline hydrothermal pretreatment (AHP), this study introduced an innovative approach by incorporating sodium lignosulfonate (SL) into the AHP to boost the production of humic-like acid (HLA) and fulvic-like acid (FLA) from biomass wastes. The SL-AHP conditions were optimized, and structural analysis of HLA was performed. The highest HLA yield reached 21.90 %, and FLA content reached 13.38 g/L after SL-AHP at 200 °C for 2 h with 15 g/L SL. The inclusion of SL led to a 19.67 % increase in HLA yield and a 5.25-fold enhancement in FLA content compared to that without SL. The probable reason underlying SL's facilitation of HLA and FLA formation involved the effective dissolution of lignin and hemicelluloses to produce more precursors, as well as the incorporation of SL structure into the HLA molecule. SL acted as both a surfactant and a precursor for the production of HLA and FLA. In addition, an increase in acidic groups improved the quality of HLA.

The Beehives of Stingless Bees in Manipur, India and Their Ecological and Economic Impact to Farmers

Stingless bees (Trigona spp.) are important pollinators in tropical and subtropical ecosystems, playing a vital role in maintaining biodiversity and agricultural productivity. In Manipur, traditional bamboo beehives are used to house these bees, reflecting a culturally significant and sustainable approach to beekeeping. This study examines the ecological and economic impacts of stingless bee beekeeping with bamboo hives in Manipur, using data from field surveys, interviews, and honey production analysis. The results show that stingless bees contribute to a 25-30% increase in crop yield through enhanced pollination. Bamboo beekeeping also generates an average household income increase of 20-35% from the sale of honey and other products. The demand of stingless bee honey is becoming high due to its unique medicinal properties. Despite these benefits, challenges such as habitat loss, climate change, and technical limitations persist. The findings suggest that integrating traditional knowledge with modern beekeeping practices could address these challenges and optimize the ecological and economic potential of stingless bee conservation in the region. This paper emphasizes for supportive policies and further research to fully realize the potential of bamboo beekeeping in Manipur.

Effects of Applying Organic Amendments on Soil Aggregate Structure and Tomato Yield in Facility Agriculture

Amendment significantly improves soil structure and promotes crop growth. To combat soil degradation and low crop yields in facility agriculture, it is crucial to study the optimal application rate of amendments. This study analyzed the effects of biochar, vermicompost, and mineral-source potassium fulvic acid on the stability of aggregate structure, soil nutrient content, and tomato yield in cambisols, providing a theoretical basis for improving the soil quality of plastic greenhouses in Southern China. A pot experiment on tomato cultivation was carried out in yellow-brown soil in plastic greenhouses. The experiment included eight treatments: 1% biochar (B1); 3% biochar (B3); 5% biochar (B5); 3% vermicompost (V3); 5% vermicompost (V5); 0.1% mineral-source potassium fulvic acid (F1); 0.2% mineral-source potassium fulvic acid (F2); and the control condition without adding soil amendments (CK). The results showed that the biochar and vermicompost treatments effectively reduced soil bulk density and increased total soil porosity. Compared to the control, treatments with soil amendments significantly increased soil pH and had different effects on soil nutrients: F2 showed the most significant improvement in the content of available nitrogen, available phosphorus, and available potassium, with an increase of 133.33%, 834.59%, and 74.34%, respectively; B3 treatment had the highest increase in dissolved organic carbon (DOC), while B5 treatment had the highest organic matter content. Compared to the CK, the particle size of the biochar treatment was mainly 0.053~0.25 mm, while the V3, F1, and F2 mainly occurred with a particle size > 0.25 mm; and V3 has the best aggregate stability. Biochar, vermicompost, and mineral potassium fulvic acid can all promote tomato yield, with the F2 and V3 treatments having a yield increase effect of over 30%. Furthermore, Pearson’s correlation analysis showed a highly significant positive correlation between geometric mean diameter (GMD) and mean weight diameter (MWD), water-stable macroaggregate content (R0.25), and a positive correlation between alkaline-dissolved nitrogen, available phosphorus, dissolved organic carbon content, and aggregate stability indicators. Adding 0.2% mineral-source potassium fulvic acid optimizes cambisols’ properties, enhances aggregate formation and stability, boosts tomato yield, and shows great application potential.

Effect of planting densities by the practice of twin rows on the agronomic and technological parameters of sugar cane in rainfed cultivation

With the aim of improving sugar cane productivity under rainfed conditions, a study of the effect of planting densities using paired rows on sugar cane yield parameters was carried out at the CNRA Ferkéssédougou station in northern Côte d'Ivoire. The experimental design used was a Fischer block, comprising three repetitions of six treatments, designated T1 to T6. The results revealed that treatments T1 and T2 improved cane yields, reaching 149±18.04 and 157±44.55 t/ha, respectively. Similarly, an increase in the number of usable stems per hectare of 207,726 ± 13144.44 and 216,468 ± 70412.15 was noted for treatments T1 and T2 respectively. Furthermore, the T6 treatment improved the technological parameters (Brix (22.4 ± 0.86 %); Fibre content (16.8 ± 0.11 %); Pol (19.4 ± 0.81 %) ; Purity of juice (86.7 ± 1.09 %) ; Saccharin content (14.9 ± 0.62 %); Extractable sugar (10.5 ± 0.52 %)). The study also identified three promising planting densities for village cane :1.1m and 1.3m row spacing at 0.4m and 1.3m row spacing at 0.5m. In conclusion, the cultural practice of density in twin rows in sugar cane plantations in rainfed conditions allows an increase in agronomic and technological parameters. This cultivation practice could contribute to an increase in yield or even a substantial increase in sugar production.

Heritability and Variability of Productivity Traits in Spring Soft Wheat Hybrids of the First to Fourth Generations

Abstract Under the conditions of the Absheron region, the effects of interaction between genotype and environment were determined in nine varieties of spring soft wheat and seven hybrid populations F1…F4 formed with their participation. A reliable effect of environmental conditions on all the studied traits was established. The contribution of the “year” factor to the number of grains per ear in varieties and hybrids was 10.9 and 13.9%, respectively; to the weight of 1000 grains – 5.8 and 19.5%; to the yield – 47.3 and 41.1%. The genetic component made a significant contribution to the weight of 1000 grains in varieties and hybrids (81.5 and 58.8%), as well as to the number of grains in varieties (38.4%). A higher varietal specificity in the manifestation of traits in parental varieties was noted compared to hybrids. Two component traits of ear productivity in a series of generations against the background of various lim-factors were analyzed, shifts of their average values and their influence on the yield were predicted and determined. The phenotypic dominance index (hp) was determined in the first generation by the number of grains per ear and 1000-grain weight, combinations with a high level were identified. The selection differential and efficiency of selections carried out under contrasting environmental conditions in the second and third hybrid generations were calculated. The yield in the initial populations varied within 219.0…789.6 g/m2, in the selected progeny – 317.0…647.6 g/m2. The average yield increase in the progeny selected in a dry year, in relation to the initial populations, was 56.8 g/m2; in the progeny selected under conditions of excess moisture – 10.8 g/m2. Correlation analysis revealed an average positive relationship between the hp indicator in the first generation and the selection differential in subsequent generations for the traits “weight of 1000 grains” and “number of grains per ear”.

Biocontrol Efficacy of Bacillus thuringiensis Strain 00-50-5 Against the Root-Knot Nematode Meloidogyne enterolobii in Pepper

The root-knot nematode Meloidogyne enterolobii is a major constraint to pepper production in tropical regions. In the long-term practice of root-knot nematode management, bacterial nematicides have attracted increasing attention as effective biocontrol agents. In this study, we evaluated the efficacy of Bacillus thuringiensis strain 00-50-5 (Bt 00-50-5) against M. enterolobii through in vitro, greenhouse and field trials. The cell-free supernatant of Bt 00-50-5 exhibited potent nematicidal activity against second-stage juveniles (J2s) of M. enterolobii, with mortality rates of 98.0% and 100% after 24 h and 36 h of exposure, respectively. In addition, Bt 00-50-5 showed inhibitory effects on the hatching of M. enterolobii eggs, resulting in a remarkable 96.6% reduction in the egg hatching rate after 6 days compared to the control. The pot trials showed that both pepper root galls and egg masses were reduced, and plant growth was improved after treatment with Bt 00-50-5. The field trials showed that the gall index was significantly reduced, with a 66.3% and 68.2% reduction in disease index in 2020–2021 and 2021–2022, respectively, and pepper yield was improved, with a 96.2% and 93.1% increase in yield in 2020–2021 and 2021–2022, respectively, compared to the control. These results indicate the potential use of Bt 00-50-5 as an effective biocontrol agent against M. enterolobii.

Temperature and Precipitation Synergistically Affect Yield, Harvesting Time and Post-Processing Quality of Tropical Macadamia Nuts

In response to climate change challenges and to ensure stable macadamia nut production, this study analyzed empirical data on macadamia nut yield, climate factors, harvesting time, and post-processing quality from 2020 to 2022. Key findings include: (1) During the flowering to fruit growth stage, 2020 had the highest average temperature, followed by 2021, and then 2022. Conversely, 2022 had the highest precipitation, followed by 2021, and then 2020. (2) Lower temperatures and higher precipitation during the flowering to fruit growth stage contributed to a significant increase in macadamia nut yield, which indirectly extended the harvesting time. In 2022, the average yield of the eight macadamia growers was 8.04 t ha−1, significantly higher than the yields of 6.60 t ha−1 and 6.16 t ha−1 in 2021 and 2020, respectively. Furthermore, the average harvesting time for the eight macadamia growers in 2022 was 8.88 days longer than that in 2021, and 12.50 days longer than that in 2020. (3) Temperature and precipitation had a significant impact on the post-processing quality of macadamia nuts. Lower temperature and higher precipitation during the flowering to fruit growth stage significantly increased the proportion of first-grade fruit, as well as the incidence of mildewed and insect-infested fruits. In conclusion, although a lower temperature and higher precipitation can improve macadamia nut yield, they also lead to delayed harvesting and decreased post-processing quality. Given the observed yield sensitivity to temperature and precipitation, targeted water supplementation strategies during peak heat periods emerge as vital. This approach should be integrated with broader climate resilience planning, including the timing of pest control and disease management, to safeguard macadamia nut production against the multifaceted challenges posed by climate change.

Effects of weed management on soil metagenomic composition in cultivated chickpea fields

Abstract Non-chemical methods, including mechanical and manual weed management are important for improving crop yields and preserving soil microbial diversity. In Tunisia, chickpea cultivation uses a combination of these methods to suppress weeds. This study aimed to evaluate the impact of weeding practices on chickpea (Cicer arietinum L. cultivar REBHA) yield and soil microbial diversity. Field experiments were conducted at the Technical Center for Biological Agriculture in Essaida, Tunisia, using six plots with manual and no weeding treatments. Chickpea yield was measured, and soil samples were collected for metagenomic analysis. Floristic surveys identified 13 weed species, with Chenopodium album L., Rumex acetosa L., and Urtica dioica L. being the most dominant. Seed yield ranged from 23.2 to 26.2 qls/ha in non-weeded plots and from 25.1 to 30.1 qls/ha in weeded plots, showing an increase in yield (11.75%) with manual weeding.
Soil metagenomics revealed changes in bacterial community composition between the two treatments. The dominant phylum was Pseudomonadota, whose relative abundance increased from 24.88% in non-weeded plots to 34.76% in weeded plots. Alpha diversity indices showed lower species richness and diversity in weeded soils, with 62000 OTUs in weeded plots compared to 43202 OTUs in non-weeded plots. Betaproteobacteria and Alphaproteobacteria exhibited higher OTU counts in weeded soils. The Simpson diversity index was lower in non-weeded soils (0.025) than in weeded soils (0.075), indicating a more irregular microbial distribution in non-weeded plots. Thus, manual weeding improved chickpea yield and altered the soil bacterial community, increasing diversity in key microbial taxa. This study highlights the complex interaction between weed management practices and soil microbial ecosystems, which may influence crop productivity.

Optimization of sowing dates for enhanced rice yield: insights from field experiments in the middle and lower reaches of the Yangtze River, China

An efficacious strategy to adapt to climate change involves optimizing the planting season, a technique that has been extensively utilized to enhance the use of solar radiation and temperature resources in rice cultivation. Field experiments were executed in the middle and lower reaches of the Yangtze River, China, employing three distinct rice cultivars and seven disparate sowing periods spanning 2019 to 2021. The objective of assessing the impact of sowing date on apparent radiation use efficiency (RUEA), accumulated temperature use efficiencies (TUE), and overall rice yield. Subsequent to the delay of sowing dates, the duration of the comprehensive growth period initially exhibited a declining trajectory before subsequently escalating, with the reduction predominantly ascribed to a decrease in the number of days preceding heading. Furthermore, there was a tendency for both the mean daily and effective cumulative solar radiation to decline over the course of the growing period. The yield of the three rice varieties demonstrated an initial surge, which was then followed by a subsequent decline in reaction to the delay of sowing dates. A correlation analysis disclosed that solar radiation and effective cumulative temperature (EAT) were the predominant elements impacting grain yield. The outcomes of the path analysis indicate that EAT exerts the most substantial influence on yield, succeeded by cumulative total solar radiation (TSR), while photothermal quotient (PTQ) demonstrates the least impact on yield. There was a significant positive correlation between EAT and cumulative TSR with spikelets per panicle (0.237** and 0.218**), grain filling (0.753** and 0.576**), and grain weight (0.339** and 0.359**), respectively. The findings of this study indicate that an increase in yield is facilitated when the EAT after heading exceeds 594.9 ℃, the EAT surpasses 2016.7 ℃, the cumulative TSR before heading is above 1548.7 MJ m− 2, the cumulative TSR after heading is over 603.0 MJ m− 2, and the cumulative total radiation throughout the entire growth period is more than 2151.8 MJ m− 2. Furthermore, the most optimal sowing date, as identified by this study, is June 6. This study provides key insights into boosting rice productivity in the middle and lower reaches of the Yangtze River, China by analyzing the impact of temperature and solar radiation on yield and identifying optimal growth conditions.Clinical trial number Not applicable.

Protein Scaffold-Mediated Multi-Enzyme Self-Assembly and Ordered Co-Immobilization of Flavin-Dependent Halogenase-Coenzyme Cycle System for Efficient Biosynthesis of 6-Cl-L-Trp.

Flavin-dependent halogenase (FDH) is highly prized in pharmaceutical and chemical industries for its exceptional capacity to produce halogenated aromatic compounds with precise regioselectivity. This study has devised a multi-enzyme self-assembly strategy to construct an effective and reliable in vitro coenzyme cycling system tailored for FDHs. Initially, tri-enzyme self-assembling nanoclusters (TESNCs) were developed, comprising glucose dehydrogenase (GDH), flavin reductase (FR) and FDH. The TESNCs exhibited enhanced thermal stability and conversion efficiency compared to free triple enzyme mixtures during the conversion of L-Trp to 6-Cl-L-Trp, resulting in a 2.1-fold increase in yield. Subsequently, an ordered co-immobilization of GDH, FR, and FDH was established, further amplifying the stability and catalytic efficiency of the FDH coenzyme cycle system. Compared to the free TESNCs, the immobilized TESNCs demonstrated a 4.2-fold increase in catalytic efficiency in a 5 mL reaction system. This research provides an effective strategy for developing a robust and efficient coenzyme recycling system for FDHs.

Thinning Impacts on Carbon and Water Budgets in a Temperate Deciduous Forest Ecosystem

Among various forest management activities, thinning is a prevalent treatment that affects tree growth and living biomass. Increased moisture and light availability may also enhance the mineralization of litter and dead wood organic matter, impacting soil carbon stocks. Thinning may also affect the services forests provide, including water production and nutrient cycling. The impacts of thinning on water yield and carbon stocks have been well documented around the globe while targeting mainly one of these ecosystem services. Our experimental paired catchment study covers both and puts forward long term results. We assessed the carbon stock changes caused by two slight thinning treatments together with the impacts on water yield in experimental paired catchments of 71.9 (W–I) and 77.5 hectares (W–IV) in Istanbul, Türkiye. The null hypothesis was that the slight thinnings did not affect the water yield and carbon stocks significantly. On the carbon stock part, we calibrated and parametrized the CBM–CF3 model with field measurements to simulate changes in carbon stocks of mixed deciduous forest stands. The intensities of the treatments (thinnings) were 11% and 18% of the basal area, performed in 1986 and 2011, respectively. We found that, while C stocks decreased by around 30 tons per hectare during the 1986–2020 period, the water yield was enhanced by approximately 25 mm/yr in the treatment catchment compared to the control watershed during the four-year post-treatment period. This amount of streamflow increase was around 10 percent of the average water yield of the catchments. It was concluded that there was a detectable increase in water yield during the following four years of the slight thinning treatments, while the reduction in abovegound carbon stocks continued for more than three decades.