Strategies For Sustainable Production Research Articles

Degradation of Natural Undaria pinnatifida into Unsaturated Guluronic Acid Oligosaccharides by a Single Alginate Lyase

Here, we report on a bifunctional alginate lyase (Vnalg7) expressed in Pichia pastoris, which can degrade natural Undaria pinnatifida into unsaturated guluronic acid di- and trisaccharide without pretreatment. The enzyme activity of Vnalg7 (3620.00 U/mL-culture) was 15.81-fold higher than that of the original alg (228.90 U/mL-culture), following engineering modification. The degradation rate reached 52.75%, and reducing sugar reached 30.30 mg/mL after combining Vnalg7 (200.00 U/mL-culture) and 14% (w/v) U. pinnatifida for 6 h. Analysis of the action mode indicated that Vnalg7 could degrade many substrates to produce a variety of unsaturated alginate oligosaccharides (AOSs), and the minimal substrate was tetrasaccharide. Site-directed mutagenesis showed that Glu238, Glu241, Glu312, Arg236, His307, Lys414, and Tyr418 are essential catalytic sites, while Glu334, Glu344, and Asp311 play auxiliary roles. Mechanism analysis revealed the enzymatic degradation pattern of Vnalg7, which mainly recognizes and attacks the third glycosidic linkage from the reducing end of oligosaccharide substrate. Our findings provide a novel alginate lyase tool and a sustainable and commercial production strategy for value-added biomolecules using seaweeds.

Smart material selection strategies for sustainable and cost-effective high-performance concrete production using deep learning

The creation of high-performing concrete (HPC) is greatly influenced by the selection of materials, with cost and sustainability factors playing a bigger part in contemporary building techniques. To overcome these limitations, we developed a Multi-Objective Ant Colony Adaptive Dense Convolutional Neural Network (MOAC-ADenseNet) with 5-K-Fold cross validation, a dependable and precise forecasting model for the cost-effective selection of HPC material. First, we collect a concrete material dataset for evaluating the suggested method. MOAC-ADenseNet utilized Dense convolutional neural networks and ant colony optimization for complex material data analysis, which makes it easier to choose expensive and sustainable materials for high-performance concrete manufacturing operations. The experimental findings of the suggested approach are evaluated for the relative measure such as Pearson's Linear Correlation Coefficient (R) is 0.93, the Root Mean Square Error (RMSE) is 91.38, Mean Absolute Error (MAE) of 58.15, and Mean Absolute Percentage Error (MAPE) is 8.79. The outcomes demonstrated that the material cost of HPC was correctly predicted by the MOAC-ADenseNet. The actual measured value and the MOAC-ADenseNet model predictions, following 5-K-fold cross-validation and input feature improvement, shows its effectiveness. A The MOAC-ADenseNet approach provides feasible method for enhancing material selection in HPC manufacturing accomplishing sustainability and cost-effectiveness goals.

Evaluation of Trend Models Performance and Forecasting Onion Production: A Comparative Study

Onions, a significant spice crop in Bangladesh, frequently experience price surges due to an imbalance between demand and supply, compelling the government to import onions. The volatility of the onion market in Bangladesh and the measures needed to stabilize the situation require intensive policy attention. Therefore, this study was carried out to forecast the onion production over time and to evaluate the efficacy of various trend models. The secondary data was collected from the Food and Agriculture Organization's Statistical Database (FAOSTAT) from 1972 to 2022. The autoregressive integrated moving average (ARIMA) model was used to predict the onion production over time. Additionally, metrics such as modified and the coefficient of determination were used to evaluate the effectiveness of eight trend models comprehensively. The findings indicate that the cubic model is superior to others since it has larger and adjusted values. The models' accuracy is also determined utilizing mean absolute percentage error (MAPE) and mean absolute deviation (MAD) metrics. The cubic trend model exhibits lower MAPE and MAD values of 29.43% and 80638.67, respectively. Therefore, it is concluded that the ARIMA (2, 2, 2) model is the best model for forecasting the annual production of onion in Bangladesh. A five-year trend analysis spanning from 2023-2027 indicates an upward trend. Such a result offers a critical insight for stakeholders and policymakers in formulating sustainable onion production strategies. J Bangladesh Agril Univ 22(3): 386-395, 2024

Shotgun metagenomic analysis reveals the diversity of PHA producer bacterial community and PHA synthase gene in Addis Ababa municipal solid waste disposal area ‘Qoshe’

BackgroundPolyhydroxyalkanoates (PHAs) are naturally produced biopolymers with significant scientific and biotechnological potential. This study aimed to investigate the diversity of the PHA-producing bacterial community and PhaC genes in soil samples collected from a municipal solid waste disposal site known as “Qoshe” in Addis Ababa, Ethiopia, using a shotgun metagenomics approach. The SqueezeMeta pipeline was used to analyze the microbial community in the waste samples. A CD search against the TIGRFAM protein family database was performed to identify the complete-length multidomain sequences of PhaC genes and classify them into their respective classes. Statistical analysis and data visualization were performed using RStudio with R version 4.2.3.ResultsThe findings of this study suggest that known and unknown taxa likely contribute to the phaC genes of municipal solid waste. Taxonomic profiling of the metagenomic data revealed that the majority of the PHA-producing taxa belonged to the phylum Proteobacteria (80%), followed by Actinomycetota (16.5%). Furthermore, this study identified Thiomonas and unclassified Mycobacterium as the main contributors to class I PhaC genes. Class II PhaC genes are predominantly associated with the Pseudomonadaceae family, followed by unclassified Hyphomicrobials and Acidimicrobiales. Class III PhaC genes are abundantly related to the Methylococcaceae family, specifically the Methylocaldum genus. The analysis of PhaC gene sequences revealed high level of diversity, with a significant proportion of putative PhaC genes exhibiting low sequence identity with each other and PhaC gene in the database. Notably, the sequence variation observed within the same PhaC gene classes suggests the potential presence of previously unidentified PhaC gene variants.ConclusionsOverall, this research improves our understanding of the diversity of PHA-producing taxa and PhaC genes in municipal solid waste environments, providing opportunities for sustainable PHA production and waste management strategies. However, additional studies, including the isolation and characterization of specific strains, are necessary to confirm the PHA production capabilities of these strains and explore their biotechnological potential.

Composting as a Cleaner Production Strategy for the Soil Resource of Potato Crops in Choconta, Colombia

Choconta is the municipality in Colombia with the greatest prevalence of potato planting, representing 70.90% of the total territory. However, this crop has been affected by the presence of pests, diseases, and chemical contaminants from pesticides and chemical fertilizers that deteriorate the soil and, therefore, the quality of the final product. Compost (organic waste with specific characteristics and made from waste generated in Choconta) was studied as a sustainable production strategy to increase soil quality and thereby the quality of the local potato crop. For this purpose, a 3 × 2 experiment design was implemented with three treatments (0%, 25%, and 50% compost) and two variables (young potato and mature potato) in duplicate for 4 months. In this experiment, the use of compost led to an improved final product, which went from a floury texture to a dense and creamy texture. The use of compost also reduced the levels of heavy metals, such as lead, with a higher removal in treatment 3 (50% composting). The estimated direct cost of the composting process was USD 280.85, slightly lower than that of the application of fertilizers at USD 294.48. The use of fertilizers has a higher environmental impact due to the use of chemical products that have environmental and health implications. Using compost did not influence tuber harvest time but had a positive impact on tuber texture quality and on soil resources through the reduction in heavy metals, especially lead (16.40–18.03 ppm for treatment 1, 17.96–18.49 ppm for treatment 2, and 15.67–17.88 ppm for treatment 3). Using compost could be environmentally and economically beneficial for local farmers, and it promotes the circular economy and sustainable communities.

PSIV-26 Extent of use of supplemental feeding in beef cattle operations across the Southeast: A report of the regional survey

Abstract With input costs on the rise, researchers and producers, alike, are seeking alternative management strategies for profitable and sustainable beef production. Studies suggest that supplemental feed provided to grazing cattle may be used to offset some of the cost. However, there is a lack of knowledge on the extent of supplemental feeding programs in the southeastern US and which feeds may be used in these programs. Thus, the objective of this study was to better understand supplemental feeding practices and choices among beef producers in the southeastern US. To address this objective, a 24-question survey was distributed through Extension and commodity organizations to beef producers across the Southeast. This survey received 118 complete responses. The majority of respondents operated cow-calf production systems (65.6%) on either tall fescue or bermudagrass pastures (32.7 and 28.0%, respectively). Approximately 88% of these producers employed some type of supplemental feeding strategy, but there is no clear decision on whether commodity or byproduct feedstuffs were preferred. The leading commodity used was corn (61.4%), while common byproducts included whole cottonseed, corn gluten feed, and soybean hulls (17.1, 16.6, and 14.4%, respectively). At the end of the survey, the participants were asked to submit a sample of their byproduct supplements to have a nutritive analysis completed to better understand what nutritional components the products they are feeding contain and how they may vary from place to place. Some of the products that were sent in include whole cottonseed, cotton byproduct, corn gluten meal, distillers grain, chicken litter, and others. The nutritional test being run on these samples included crude protein and fiber analysis. The crude protein of the samples received ranged from 13.3% to 30.3% with an average of 21.5%. The fiber profile received ranged from 45.5% to 76.3% with an average of 59.9%. With the information recorded from these tests, recommendations can be provided on different feeding methods in both commercial settings as well as research settings.

PSXIII-16 Kinematics and viability of spermatozoa from Criollo and Angus bulls in a low-input system

Abstract The Chihuahuan Criollo cattle is a genetic resource with special adaptive characteristics to rough, arid and semi-arid ecosystems. There is a great interest in incorporating such adaptations into beef production systems as one of the strategies for sustainable production to face the climate change challenge. Reproductive success is determinant to achieve sustainability in animal production systems. Most research efforts to improve reproductive efficiency have focused on the study of females. However, it has been shown that much of the economic losses caused by embryonic deaths are due to the bull. The aim of this study was to evaluate the quality of thawed semen from Angus and Criollo bulls kept in a low-input system. Thirteen healthy bulls (n = 7 Angus and 6 = Chihuahuan Criollo), with an average age of 4.3 ± 0.48 yr, grazing in the same rangeland and subjected to natural pasture conditions, were studied. Semen obtained by electroejaculation, were frozen and subsequently thawed for analyses. Characteristics of motility, vitality (V), morphology (M) and plasma membrane integrity (PMI) were evaluated in fresh and thawed semen, whereas movement kinetics (MK) and acrosome reaction (AR) were evaluated in thawed semen. Statistical analysis was performed using the PROC GLM of SAS Studio 2022 including the fixed effects of breed, semen condition and their interaction for variables of progressive motility (PM), V, M, PMI and the effect of breed for variables of MK and AR. As expected, PM and V were less (P < 0.05) in thawed (57.93 ± 4.1 and 53.69 ± 2.7) compared with fresh (72.64 ± 3.9 and 74.98 ± 2.6) semen, whereas no differences (P > 0.05) were found in M. However, the interaction between semen condition and breed for PMI tended to the significance (P = 0.08) with a PMI of 68.95 ± 4.6 and 58.98 ± 4.3 for Criollo and Angus, respectively, in fresh semen, whereas in thawed semen this difference was inverted (52.08 ± 4.6 and 58.40 ± 4.6). It is important to note that the semen retained quality traits with values above the minimum accepted for use in artificial insemination, despite the scarcity of resources of the system in which the animals were kept. There were no differences by breed in the main MK variables; however, AR reported as live unreacted sperm was less (P < 0.05) in Criollo (40.49 ± 4.49) compared with Angus bulls (58.48 ± 4.49). In conclusion, it is important to incorporate the assessment of membrane integrity and acrosome reaction in thawed semen evaluation to obtain a more accurate prediction of the potential fertility of samples, even if motility parameters appear to be optimal.

Optimum management strategy for improving maize water productivity and partial factor productivity for nitrogen in China: A meta-analysis

China’s agricultural production suffers significant constraints due to low water productivity (WP) and partial factor productivity for nitrogen (PFPN). The pivotal solution to enhance maize yield, WP, and PFPN is through optimizing field management practices. However, previous studies primarily focused on the effects of individual or coupled field management practices on maize yield, WP, or PFPN in an area or land mass, so it is necessary to conduct a comprehensive quantitative analysis of various field management practices on maize yield, WP, and PFPN at the national scale. In this study, we compiled 286 studies encompassing 6959 pairs of experimental data spanning from 1990 to 2023. Meta-analysis was conducted to observe the variations in maize yield, WP, and PFPN across diverse field management practices (straw returning, nitrogen fertilizer application, irrigation practice, and tillage practice) on a national scale. The results showed that nitrogen fertilizer application (215 kg N ha−1) was the most effective in enhancing maize yield and WP by 68.1 % and 54.8 %, respectively. Additionally, irrigation had the most substantial impact on PFPN, enhancing 16.8 %. Straw mulching, application of slow and controlled release fertilizers, drip irrigation, and subsoiling were identified as the most effective practices in increasing maize yield, WP, and PFPN by Random forest model. Maize straw returning could reduce nitrogen fertilizer application by 20 kg ha−1, while increasing WP and PFPN by 4.2 % and 11.6 %, respectively. Moreover, straw returning could reduce water consumption by 23–60 mm, while increasing WP and PFPN by 2.9 % and 6.8 %, respectively. These findings can provide a reference for the formulation of comprehensive management strategies for sustainable maize production in China and globally.

Assessing hydrogen production potential from carbonate and shale source rocks: A geochemical investigation

The global push towards achieving net-zero carbon dioxide emissions by 2050 shows the urgency of transitioning to a hydrogen-based economy, with clean hydrogen fuel emerging as a fundamental component of future energy consumption. This study explores hydrogen production from geological sources, specifically organic-rich Shale and Carbonate mudrocks, as a significant and sustainable method for natural hydrogen production. Recognizing the critical challenge posed by the interaction of hydrogen with rock-forming minerals and organic matter during production, this research emphasizes the need for a comprehensive understanding of the geochemical composition of these rock materials. To assess the feasibility and implications of utilizing organic-rich source rocks for hydrogen production, we conducted thorough analyses of source rock samples from different formations. The representatives’ samples were subjected to comprehensive analyses including Rock-Eval pyrolysis, X-ray diffraction (XRD), X-ray fluorescence (XRF), scanning electron microscope (SEM) examinations, and gas chromatography (GC) analysis of the produced gas. Our results revealed that the high total organic carbon (TOC) samples (average 14.7 %) with Type I and II kerogens yielded substantial hydrogen-rich gases, approximately 44.71 % and 36.02 % for SH-O1 and JOS samples, respectively. JOS produced slightly higher hydrocarbon gases (∼50 %) compared to SH-O1 (∼45 %), along with more H2S (5.78 %), due to higher total sulfur content. In contrast, the SH-C1 sample, characterized by very low TOC (0.27 %), predominantly quartz and muscovite minerals (>78 %), and Type IV kerogen, produced higher CO2 (22.09 %) and minimal hydrogen (1.27 %), highlighting the influence of mineralogical and geochemical composition. This study suggests that hydrocarbon source rocks with high organic matter content hold significant potential for maximizing energy gas recovery (>85 %, including hydrogen and hydrocarbons) through the pyrolysis of their kerogen content. These findings demonstrate the viability of hydrogen gas production from unconventional sources such as organic-rich shales, potentially impacting strategies for sustainable energy production and contributing significantly to global decarbonization efforts.

Complex cocoa agroforestry systems shaped within specific socioeconomic and historical contexts in Africa: Lessons from Cameroonian farmers

CONTEXTIn the humid tropics, the socioecological advantages of family-based, multistory agroforestry systems are well recognized. Yet public policies tend to focus on conservation and land-sparing strategies alongside the promotion of modern intensive agriculture, neglecting these biodiverse agroecosystems, which are in decline. This is a particularly central issue in cocoa cultivation. In Africa's two largest cocoa-producing countries (Côte d'Ivoire and Ghana), cocoa plantations with few associated trees contribute to deforestation and biodiversity loss. In contrast, in regions like Cameroon, biodiversity-rich cocoa agroforests prevail. Considering global changes and rising cocoa demand, it is crucial to preserve and develop these agroforestry systems that reconcile cocoa production with ecosystem services. OBJECTIVEThis study, conducted in Cameroon between 2013 and 2017, aimed to pinpoint the socioeconomic factors influencing the characteristics, maintenance, and degradation of cocoa agroforests, with the ultimate goal of identifying intervention strategies to promote their preservation and development. METHODSThe study collected data from (i) on-field measurements in 95 cocoa agroforestry plots, (ii) interviews with the 95 farmers managing the plots, and (iii) historical interviews with 50 key informants. We focused on five sites across a gradient of population density, encompassing various socioecological environments and types of cocoa agroforests. Through thematic and statistical analyses, we evaluated differences between the five sites. RESULTS AND CONCLUSIONSOur results indicated contrasting management practices, dendrometric structure, species composition, and cocoa yields between sites. These contrasts largely reflected socioeconomic factors and site-specific dynamics. Cocoa agroforests were less rich in biodiversity in sites where farmers with capital using hired labor had acquired land than in sites where family farmers predominated. A trade-off was found between the richness of companion trees and cocoa yields. Plots managed by smallholder family farmers near urban areas tended to better reconcile cocoa production and biodiversity conservation. These farmers had gradually transformed their traditional agroforests to adapt to increasing demographic pressure by integrating diverse fruit tree species, using pesticides sparingly, and introducing selected cocoa varieties mixed with older varieties. SIGNIFICANCEThe small-scale family-managed cocoa agroforests, which incorporate fruit species as described in this study, could serve as a model for a more sustainable cocoa production strategy. However, developing such a strategy would require greater investment and support from policymakers. This includes supporting the marketing of products from companion trees, stabilizing cocoa prices at a high level, and implementing land policies that protect small and medium-sized family farmers.

Optimization of planting date and irrigation strategy for sustainable cotton production

Optimization of planting date and irrigation strategy for sustainable cotton production

Nanoporous Heterojunction Photocatalysts with Engineered Interfacial Sites for Efficient Photocatalytic Nitrogen Fixation.

Photocatalytic N2 reduction reaction (PNRR) offers a promising strategy for sustainable production of ammonia (NH3). However, the reported photocatalysts suffer from low efficiency with great room to improve regarding the charge carrier utilization and active site engineering. Herein, a porous and chemically bonded heterojunction photocatalyst is developed for efficient PNRR to NH3 production via hybridization of two semiconducting metal-organic frameworks (MOFs), MIL-125-NH2 (MIL=Material Institute Lavoisier) and Co-HHTP (HHTP=2,3,6,7,10,11-hexahydroxytripehenylene). Experimental and theoretical results demonstrate the formation of Ti-O-Co chemical bonds at the interface, which not only serve as atomic pathway for S-scheme charge transfer, but also provide electron-deficient Co centers for improving N2 chemisorption/activation capability and restricting competitive hydrogen evolution. Moreover, the nanoporous structure allows the transportation of reactants to the interfacial active sites at heterojunction, enabling the efficient utilization of charge carriers. Consequently, the rationally designed MOF-based heterojunction exhibits remarkable PNRR performance with an NH3 production rate of 2.1 mmol g-1 h-1, an apparent quantum yield (AQY) value of 16.2% at 365 nm and a solar-to-chemical conversion (SCC) efficiency of 0.28%, superior to most reported PNRR photocatalysts. Our work provides new insights into the design principles of high-performance photocatalysts.

Integration of Crops, Livestock, and Solar Panels: A Review of Agrivoltaic Systems

This review article focuses on agrivoltaic production systems (AV). The transition towards renewable energy sources, driven by the need to respond to climate change, competition for land use, and the scarcity of fossil fuels, has led to the consideration of new ways to optimise land use while producing clean energy. AV systems not only generate energy but also allow agricultural and livestock yields to be maintained or even increased under PV structures, offering a sustainable production strategy that may be more acceptable to local communities than traditional PV installations. This review assesses the technical feasibility of AV systems, the environmental, economic and social benefits, as well as the challenges faced and the legal framework regulating their implementation. It is highlighted that despite the advantages in land use efficiency and dual food and energy production, there are important challenges related to the initial investment required, the need for technological adaptation, social and regulatory obstacles, or the effects of shading on production. This paper underlines the importance of further research and development of these systems to overcome technical and economic constraints and maximise their potential benefits. It is concluded that although they present significant challenges, AV management offers promising opportunities to improve land efficiency and contribute to several sustainable development goals.

Sucrose as an electron source for cofactor regeneration in recombinant Escherichia coli expressing invertase and a Baeyer Villiger monooxygenase

BackgroundThe large-scale biocatalytic application of oxidoreductases requires systems for a cost-effective and efficient regeneration of redox cofactors. These represent the major bottleneck for industrial bioproduction and an important cost factor. In this work, co-expression of the genes of invertase and a Baeyer–Villiger monooxygenase from Burkholderia xenovorans to E. coli W ΔcscR and E. coli BL21 (DE3) enabled efficient biotransformation of cyclohexanone to the polymer precursor, ε-caprolactone using sucrose as electron source for regeneration of redox cofactors, at rates comparable to glucose. E. coli W ΔcscR has a native csc regulon enabling sucrose utilization and is deregulated via deletion of the repressor gene (cscR), thus enabling sucrose uptake even at concentrations below 6 mM (2 g L−1). On the other hand, E. coli BL21 (DE3), which is widely used as an expression host does not contain a csc regulon.ResultsHerein, we show a proof of concept where the co-expression of invertase for both E. coli hosts was sufficient for efficient sucrose utilization to sustain cofactor regeneration in the Baeyer–Villiger oxidation of cyclohexanone. Using E. coli W ΔcscR, a specific activity of 37 U gDCW−1 was obtained, demonstrating the suitability of the strain for recombinant gene co-expression and subsequent whole-cell biotransformation. In addition, the same co-expression cassette was transferred and investigated with E. coli BL21 (DE3), which showed a specific activity of 17 U gDCW− 1. Finally, biotransformation using photosynthetically-derived sucrose from Synechocystis S02 with E. coli W ΔcscR expressing BVMO showed complete conversion of cyclohexanone after 3 h, especially with the strain expressing the invertase gene in the periplasm.ConclusionsResults show that sucrose can be an alternative electron source to drive whole-cell biotransformations in recombinant E. coli strains opening novel strategies for sustainable chemical production.

Molecular insight into oil displacement by CO2 flooding in water-cut dead-end nanopores.

Understanding the mechanisms underlying residual oil displacement by CO2 flooding is essential for CO2-enhanced oil recovery. This study utilizes molecular dynamics (MD) simulations to investigate the displacement of residual oil by CO2 flooding in dead-end nanopores, focusing specifically on the water-blocking effect. The findings reveal that oil displacement does not commence until the water film is breached. The dissolution of CO2 molecules in water and the hydrogen bond interactions between water and rock are the primary factors that disrupt the hydrogen bond network among the water molecules, facilitating the breakthrough of the water film. Additionally, the displacement process can be delineated into four distinct stages - encompassing water film rupture, oil swelling, massive oil displacement, and displacement completion - as evidenced by the oil recovery-displacement time curves. Moreover, a cutting-edge oil recovery-displacement time model precisely quantifies crucial stages in the displacement process. For example, when t < δ, trapped oil is impeded by the water film, while when t > δ + 3τ, displacement culminates successfully. Altogether, this research bolsters comprehension of residual oil displacement in the presence of water blocking and advocates for sustainable oil production strategies in oilfields.

(Invited) Theoretical Insights in the Design of Active Sites and Environments to Guide Electrocatalytic Transformations for Sustainable Energy and Chemicals Production

Future strategies for sustainable energy and chemicals production will undoubtedly require the design of electrocatalytic systems that actively and selectively convert wastes such as CO2 emissions and biomass into chemicals and fuels. While enzymes elegantly integrate highly active centers together with adaptive nanoscale environments to selectively control catalytic transformations, they are limited industrially by their durability. The design of robust electrocatalytic materials and systems that can mimic the activity and selectivity of enzymes, however, has been hindered by our understanding of how such transformations proceed over inorganic materials and complex environments. Advances in theory, simulations, spectroscopy and characterization begin to allow us to track the molecular transformations and how they proceed in electrocatalytic systems at specific sites and within particular environments. This information can enable the design of unique surface ensembles and nanoscale environments that can efficiently catalyze specific molecular transformations. Herein we develop and use ab initio methods to examine the influence of anions, cations and solvents in complex electrochemical environments to carry out selective molecular transformations. More specifically, we discuss the electrocatalytic reduction of CO2 and aromatics to valuable chemical and pharmaceutical intermediates. We draw direct analogies between the elementary processes that govern these seemingly different systems. We explore the manipulation of different solvents (ionic liquids and water), electrolytes (effects of anions and cations), pH as well as different metals and electrochemical potential to drive the formation of 3D environments that aid in controlling these transformations. We expand the discussion to selective oxidation reactions and examine the design of mediators to enable the selective C-H bond activation.

From Microbes to Microbiomes: Applications for Plant Health and Sustainable Agriculture.

Plant-microbe interaction research has had a transformative trajectory, from individual microbial isolate studies to comprehensive analyses of plant microbiomes within the broader phytobiome framework. Acknowledging the indispensable role of plant microbiomes in shaping plant health, agriculture, and ecosystem resilience, we underscore the urgent need for sustainable crop production strategies in the face of contemporary challenges. We discuss how the synergies between advancements in 'omics technologies and artificial intelligence can help advance the profound potential of plant microbiomes. Furthermore, we propose a multifaceted approach encompassing translational considerations, transdisciplinary research initiatives, public-private partnerships, regulatory policy development, and pragmatic expectations for the practical application of plant microbiome knowledge across diverse agricultural landscapes. We advocate for strategic collaboration and intentional transdisciplinary efforts to unlock the benefits offered by plant microbiomes and address pressing global issues in food security. By emphasizing a nuanced understanding of plant microbiome complexities and fostering realistic expectations, we encourage the scientific community to navigate the transformative journey from discoveries in the laboratory to field applications. As companies specializing in agricultural microbes and microbiomes undergo shifts, we highlight the necessity of understanding how to approach sustainable agriculture with site-specific management solutions. While cautioning against overpromising, we underscore the excitement of exploring the many impacts of microbiome-plant interactions. We emphasize the importance of collaborative endeavors with societal partners to accelerate our collective capacity to harness the diverse and yet-to-be-discovered beneficial activities of plant microbiomes.

Effects of leguminous green manure-crop rotation on soil enzyme activities and stoichiometry

Abstract As a crucial strategy for sustainable agricultural production, green manure-crop rotation can regulate soil nutrient cycling and decrease the reliance on nitrogen fertilizers. However, we still lack a comprehensive understanding of the changes in soil eco-enzyme activities, microbial metabolism, and nutrient limitations caused by leguminous green manure crop rotation. Here, we conducted field experiments of leguminous green manure-crop rotation across China to analyze soil extracellular enzyme activities, specifically β-glucosidase (BG), N-acetyl-β-D-glucosaminidase (NAG), leucine aminopeptidase (LAP), and acid phosphatase (AP). The study revealed that long-term green manure-crop rotation increased carbon and nitrogen accumulation in farmland, with a significant average increase of 20.1% and 36.4% in BG, AP enzyme activities in topsoil, while showing a decrease in ln(NAG+LAP):ln(AP) ratios. The ratios of ln(BG):ln(NAG+LAP) and ln(NAG+LAP):ln(AP) in soil across various regions were typically below 1:1, indicating that soil microbial activity is more constrained by nitrogen and phosphorus nutrients rather than by carbon. Precipitation, temperature, soil total carbon, and total nitrogen were identified as key environmental factors for extracellular enzyme activities and stoichiometric ratios. Our study highlights that the green manure-crop rotation alleviates nitrogen limitation while enhancing phosphorus limitation, and is closely related to the accumulation of total carbon and nitrogen in the soil.

Optimization of nitrogen and phosphorus fertilization for enhanced forage production and quality of Festuca Krylovianacv. Huanhu artificial grassland in alpine regions

Artificial grasslands of F. kryloviana in the region surrounding Qinghai Lake have been observed to a decline in productivity following three years of establishment. Traditional fertilization practices, aimed at maintaining ecological balance, have predominantly focused on the application of phosphorus. However, it remains unclear whether phosphorus fertilizers offer a superior advantage over nitrogen fertilizers in sustaining productivity. Consequently, from 2017 to 2019, we conducted an experimental to assess the impact of nitrogen and phosphorus fertilization on forage yield and quality. We designed with four levels of phosphorus and two levels of nitrogen, resulting in eight distinct fertilizer combinations. Our experimental findings indicate that the degradation of artificial grasslands leads to a shift in the allocation pattern of aboveground biomass. There was a respective decrease of 68.2 % and 62.5 % in the biomass proportions of stems and ears, contrasted by a greater than 200 % increase in the biomass proportion of leaves. The application of nitrogen not only elevated the total aboveground biomass but also promoted a preferential allocation of biomass to stems and leaves, consequently enhancing the forage's crude protein content. Nitrogen fertilization significantly increased aboveground biomass, and crude protein content by 63.21 %, and 6 %, respectively. Phosphorus fertilization's impact varied annually but favored the distribution of biomass to stems and ears. The net photosynthetic rate improved by over 53.12 % with fertilizer application, although the differences among treatments were not statistically significant. The balanced application of nitrogen and phosphorus fertilizers significantly bolstered the aboveground biomass, ear biomass, stem biomass, leaf biomass, and crude protein content in varying years by 17.25 %–209.83 %, 34.7 %–438.9 %, 25.5 %–250.2 %, 18.4 %–133.3 %, and 10.21 %–25.62 %, respectively. Our analysis revealed that nitrogen-only fertilization exhibited the most optimal fertilizer use efficiency and economic returns. In conclusion, nitrogen fertilization is crucial for sustaining the productivity and quality of F. kryloviana artificial grasslands. The local practice of 75 kg ha−1 phosphorus fertilizer is detrimental to the maintenance of productivity in F. kryloviana artificial grasslands. This study offers valuable insights into the optimization of fertilization strategies for sustainable forage production within alpine regions.

Soil-Microbial Interactions in Rice-Loach-Shrimp Integrated Farming: Multivariate Analysis of Ecological Intensification

Ecological intensification of agriculture is crucial for sustainable food production, yet the complex soil-microbial interactions in integrated farming systems remain poorly understood. This five-year study compared a Rice-Loach-Shrimp (RLS) integrated system with conventional Rice Monoculture (RM) using advanced multivariate techniques, including correlation analysis, Principal Component Analysis, Random Forest modeling, and Structural Equation Modeling. The RLS system exhibited higher values for key soil health indicators compared to RM, although the overall correlation patterns were similar. Stronger correlations among soil organic matter, enzyme activities, and microbial populations were observed in RLS, suggesting a more tightly coupled soil ecosystem. Available phosphorus and soil organic matter were identified as primary drivers of microbial community structure. The RLS system showed a slightly higher mean pH and weaker correlations between pH and other indicators compared to RM, indicating potential altered biogeochemical processes. Complex cascading effects among soil properties, enzyme activities, and microbial populations were revealed in RLS. These soil health benefits persisted throughout the study period, demonstrating the potential of RLS as an effective ecological intensification strategy for sustainable rice production.