Plant Nutrient Research Articles

Root Anatomical Imaging and Phenotyping in Maize.

Root anatomy plays a crucial role in regulating essential processes such as the absorption and movement of water and nutrients in plants. Root anatomy also impacts the energy costs of building and sustaining root tissues, tissue mechanics, and interactions with other organisms. Although several studies in maize have confirmed the functional utility of numerous root anatomical traits, such as that of cortical cell size and number for stress adaptation, there have been significant obstacles in measuring and analyzing root anatomical characteristics. This has resulted in gaps in our understanding of the genetic control and range of phenotypic variations among different cultivars, and how this diversity relates to overall fitness. Here, we review root anatomical phenotypes in maize and their function in stress adaptation, and briefly discuss phenotyping methods available for root anatomy. We further introduce a simple and accessible phenotyping approach that enables a comprehensive investigation of maize root anatomy. Detailed characterization of root traits and the implementation of robust methods for root anatomical phenotyping could have wide-ranging benefits across various areas of plant science, from fundamental research to enhancing crop breeding efforts.

Vegetation drives soil microbial metabolic limitation through modifications of soil properties and microbial biomass during desert grassland-shrubland state anthropogenic transition

Shrub encroachment became widespread in grass-dominated ecosystem regions. However, there is still limited attention on the changes in plant-soil system C:N:P stoichiometry and soil microbial metabolic limitation status caused by anthropogenic encroachment of shrubs in the desert grassland of northwest China, as well as their driving mechanisms. In this study, we quantified the C:N:P stoichiometry of plant-litter-soil, soil physicochemical properties, microbial biomass, extracellular enzyme activities, and microbial metabolic limitation status during the anthropogenic transition from grassland to shrubland. Here, our results showed that anthropogenic shrub encroachment reduced plant C, soil water, and soil nutrient contents while increasing N and P contents in both plants and litter. The correlation also suggested that litter nutrient content relied on plant nutrients, while plants depleted soil nutrients. Secondly, with the gradient of shrub encroachment, the stoichiometry (except for soil C:N ratio) of plant-litter-soil showed a decreasing trend and a positive correlation. Furthermore, our study indicated that shrub encroachment reduced soil microbial biomass and extracellular enzyme activities, altering microbial stoichiometry and patterns of enzyme allocation. Redundancy analysis revealed that microbial biomass, extracellular enzyme activities, and stoichiometry were mainly driven by soil water content, nutrient content, and nutrient stoichiometry. The vector-threshold element ratio model revealed that along the transition from desert grassland to shrubland, soil microbial nutrient limitation shifted from P to N, while energy (C) limitation intensified. The soil microbial metabolic limitation was driven jointly by plants and litter through modifications of soil properties and microbial biomass. Additionally, soil properties played a crucial role among these factors. In summary, over the past 40 years, shrub anthropogenic encroachment has formed a desert grassland-shrub mosaic landscape, depleted soil water and nutrient contents, and altered ecological stoichiometry and microbial metabolic limitation patterns in northwest China. This study provides new insights into the C, N, and P cycling in plant-soil systems following shrub encroachment caused by global climate change and anthropogenic disturbances.

Addition of polyester microplastic fibers to soil alters the diversity and abundance of arbuscular mycorrhizal fungi and affects plant growth and nutrition

Microplastics (MPs) represent an emerging factor in global environmental change and are increasingly found in soils. However, the extent to which they affect plants and their interactions with the soil microbiome is poorly understood. Here, we test the hypothesis that increasing levels of polyester MP fibers in soil alter plant growth and nutrient acquisition responses to arbuscular mycorrhizal (AM) fungi via changes in AM fungal colonization and community composition. We used Sorghum drummondii as a model species in a fully factorial greenhouse experiment. Plants were exposed to soil treatments with 0, 0.2, 1, and 3 % MP polyester fibers either in the presence or absence of an assembled AM fungal community comprising 13 species across three families with contrasting life-history strategies. We found that the 1 % MP treatment promoted plant biomass irrespective of the presence of AM fungi. While no changes in macronutrient concentrations in plant tissues were seen, there was a significant increase in B and Mn when relatively low amounts of MPs were added, and this effect was modulated by AM fungi. Furthermore, there were shifts in AM fungal community composition in response to MP, favoring taxa such as Gigaspora sp. while negatively affecting ruderal taxa like Glomus sp. Overall, our data indicate that MP polyester fibers present in soil can in some cases be beneficial to plants and AM fungal interactions. However, the implications of these findings over the long-term and in the context of ecological repercussions of MP pollution in the environment remain to be seen.

The Effects of Bioinoculants on Enhancement Growth in Nanjanagud Rasabale Tissue Culture Banana

Bio-hardening is a process where micro propagated plantlets are inoculated with suitable strains of microorganisms in order to enhance their acclimatization. Trials were taken to expose banana plantlets to useful microbes that encourage growth and mutual association during 2022 at UHS, Bagalkot. It promotes host plant growth, plant nutrient uptake, inhibits pathogen growth, reduces disease severity, enhances tolerance to environmental stress etc. In the present study, twenty treatments were imposed with different bioinoculants by two methods of application (1) powder formulation and (2) liquid formulation. Among these treatments, M1T13- VAM and fusicont significantly increased the survivability per cent (58.80%), plant height (6.46 cm), pseudo stem girth (5.42 cm), number of leaves (4.07) and leaf area (33.15 cm2). Thus, the artificial inoculation of bioinoculants through the powder formulation enhances the growth during primary hardening.

Impact of goat manure application on growth of wild watermelon under shade house cultivation

The continuous use of inorganic fertilizers in agriculture poses detrimental effects on soil health and future crop yields. Therefore, alternative sources of plant nutrients that are environmentally friendly and cost-effective for use in crop production, especially with the escalating cost of inorganic fertilizers, are necessary. A shade-house study was designed to determine the effect of different quantities of goat manure applications on growth attributes and yield of wild watermelon (Citrullus lanatus subsp.). A randomized complete block design (RCBD) was used to arrange the treatments, with fourteen (14) replications (n = 84). Six (6) treatments consisting of various quantities (v/v) of river sand, Hutton soil, and goat manure (T0 -1:3:0, T1 -1:3:1, T2 -1:3:2, T3 -1:3:3, T4 -1:3:4, and T5 -1:3:3) were used, with T0 -1:3:0 constituting the control. Treatments had a highly significant (P ≤ 0.01) effect on dry shoot mass (65%), fruit weight (75%), and fruit diameter (75%) except for the dry root mass (44%), vine length (47%), chlorophyll (47%), number of fruit (27%) and stem diameter (22%) of wild watermelon plants. Dry shoot mass was the highest (11.14 g) in T4 -1:3:4, and the lowest dry shoot mass (6.57 g) was obtained in T1 -1:3:1 when compared to the control. The fruit fresh weight of the wild watermelon was reduced in all the treatments, when compared to the control. The biggest fruit diameter (66.66 mm) was observed in T4 -1:3:4, and the lowest (14.4 mm) was observed in T5 -1:3:5. In conclusion, T4 -1:3:4 enhanced greater vegetative growth (dry shoot matter) and yield attributes (fruit diameter and weight) of the wild watermelon.

Applicability of calibrated diffuse reflectance spectroscopy models across spatial and temporal boundaries

Diffuse reflectance spectroscopy (DRS) is an emerging soil testing approach. Although several studies have validated the DRS approach, limited efforts are made to assess the applicability of calibrated DRS models on new samples collected at different locations and/or time. To test such spatio-temporal applicability of calibrated DRS models, we collected surface soil samples from 1,112 smallholder farms during 2018 (T2018) and 607 farms during 2021 (T2021) covering seven districts of the Bundelkhand region of central India. The T2018 samples covered 7 development blocks; the T2021 samples were also collected from these blocks but from different sampling locations. Additionally, a new sampling site (Jhansi-Bamour block) was added during 2021 to create an independent test dataset. Collected samples were analysed for 17 soil parameters (basic soil properties, macronutrients, and micronutrients) and spectral reflectance over the visible to near-infrared region. Corresponding soil test crop response (STCR) ratings were also estimated. The Cubist model was calibrated in the T2018 dataset and tested against the T2021 dataset using the coefficient of determination (R2), root-mean-squared error (RMSE), and percentage relative error deviation (PRED) at 30% error threshold as performance statistics. Model applicability was assessed at each block level (site-specific), by dividing the study site into their two geology-specific regions, and by treating the entire dataset as a regional-scale spectral library. Results showed that DRS models calibrated on a finer scale (site-specific) are less efficient in estimating soil parameters in broader scale (geology-specific and regional-scale) test T2021 samples although their STCR ratings may safely be estimated at local scales. When site-specific data were aggregated to broader scales and T2018 dataset was spiked with 20% samples from the T2021 dataset, model performance improved for critical soil parameters such as soil organic carbon (SOC) contents and several plant nutrients and their ratings; application of such large-scale models also improved the estimation accuracy when applied to site-specific datasets. Exchangeable Ca and Mg, clay and SOC contents were frequently well-estimated with R2 values ranging from 0.54 to 0.93. Fine sand was the next best estimated soil property with R2 values in the range of 0.40–0.75. The STCR ratings estimated in the DRS approach matched the wet chemistry-based STCR ratings to the tune of 43 to 100%. Overall, as many as 60% of all new samples could be estimated with more than 70% accuracy for 8 out of 17 parameters. With the DRS approach tested on both spatially- and temporally-independent test datasets and, specifically, with high estimation accuracy of STCR ratings, our results suggest that the DRS approach may safely be used as a viable alternative to conventional soil testing in smallholder farms.

Regulation of photosynthetic carbon fate by plant diversity and nutrients in abandoned farmland on the Loess Plateau

Understanding the distribution and transfer of photosynthetic carbon (PC) in ecosystems is important to determine the fate of soil carbon (C). However, the allocation on plants of newly fixed PC during secondary succession is unknown. Using in-situ 13CO2 pulse labeling we report characteristics of PC turnover and driving factors that drive it in plants and soils at different successional stages on the Loess Plateau, China. Within 30 d of labeling, 13C abundance significantly decreased in plant leaves and stems, and significantly increased in roots, especially on farmland abandoned for 30a (from 114.67 mg·m−2 to 225.08 mg·m−2). The abundance of 13C in soils significantly increases over time, with 13C abundances in bulk soil 8a after abandonment being 8.17 % higher than those after 30a and 9.34 % after 15a. The contribution of newly fixed PC to soil organic carbon (SOC) was also significantly higher in soil 8a after abandonment than after 15a and 30a. Plant diversity and nutrients are the main factors to drive PC fixation and transfer. Because farmland abandoned for 8a has low plant diversity, high species evenness, and high plant nutrient contents, its plant-soil system fixes more PC. Plant diversity is a key predictor of PC fixation, and plant nutrients have an important influence on the transfer of PC. These results provide improve our understanding of vegetation restoration and terrestrial carbon sequestration in abandoned farmlands.

Geographic bioprospection of maize rhizoplane-associated bacteria for consortia construction and impact on plant growth and nutrient uptake under low P availability

Application of beneficial microbial consortia for improving plant growth and productivity is considered a major approach to attain sustainable crop production. The construction of plant growth promoting (PGP) bacterial consortia (BC) is reliant on the design of microbial systems based on tuned inter-species interactions with known ecological functions. In this study, maize rhizoplane-associated bacteria were isolated from seven distinct agricultural regions in Morocco. Taxonomic and functional (related to phosphorus “P” use) diversity of 107 rhizoplane bacterial isolates were explored to construct BC while preserving the diversity of the niche they were isolated from. Thirty-six BC were generated, including 28 intra-zone consortia, seven intra-region consortia and one global BC. Quantification of three functional genes: glucose dehydrogenase encoding gene (gcd), pyrroloquinoline quinone (pqqC), and alkaline phosphatase encoding gene (phoD), involved in P cycling, confirmed the presence of gcd in nineteen BC, pqqC in eight BC and phoD in only one BC. In vitro functional characterization revealed that all BC were able to solubilize/mineralize P (50–88 ppm) through the production of organic acids and acid phosphatase (25 – 280 nmol.h−1). Assessment of above- and below-ground parameters of 45-day old maize plants identified five potential niche-constructed “intra-zone” BC (BC-6, -11, -12, -14, and -18) notably in terms of plant biomass, shoot nutrient (N, P, K) uptake and induced root morphological and physiological traits. These BC were associated with increased rhizosphere available P (80 ppm) and decreased microbial biomass P (17 ppm) while the remaining BC significantly increased microbial biomass P (30 ppm) at the expense of a decreased rhizosphere available P (35 ppm) with no significant effect on plant nutrient uptake and biomass. These findings demonstrate that intra-zone BC constructed from the same niche outperformed the intra- and inter-region consortia, supporting the niche-conservatism approach to construct P-efficient BC. This study lays a technical foundation for the construction of synthetic microbial consortia for plant growth and nutrient acquisition, through the optimization of inter-species bacterial interactions.

Characteristics of Rhizosphere Microbiome, Soil Chemical Properties, and Plant Biomass and Nutrients in Citrus reticulata cv. Shatangju Exposed to Increasing Soil Cu Levels.

The prolonged utilization of copper (Cu)-containing fungicides results in Cu accumulation and affects soil ecological health. Thus, a pot experiment was conducted using Citrus reticulata cv. Shatangju with five Cu levels (38, 108, 178, 318, and 388 mg kg-1) to evaluate the impacts of the soil microbial processes, chemistry properties, and citrus growth. These results revealed that, with the soil Cu levels increased, the soil total Cu (TCu), available Cu (ACu), organic matter (SOM), available potassium (AK), and pH increased while the soil available phosphorus (AP) and alkali-hydrolyzable nitrogen (AN) decreased. Moreover, the soil extracellular enzyme activities related to C and P metabolism decreased while the enzymes related to N metabolism increased, and the expression of soil genes involved in C, N, and P cycling was regulated. Moreover, it was observed that tolerant microorganisms (e.g., p_Proteobacteria, p_Actinobacteria, g_Lysobacter, g_Sphingobium, f_Aspergillaceae, and g_Penicillium) were enriched but sensitive taxa (p_Myxococcota) were suppressed in the citrus rhizosphere. The citrus biomass was mainly positively correlated with soil AN and AP; plant N and P were mainly positively correlated with soil AP, AN, and acid phosphatase (ACP); and plant K was mainly negatively related with soil β-glucosidase (βG) and positively related with the soil fungal Shannon index. The dominant bacterial taxa p_Actinobacteriota presented positively correlated with the plant biomass and plant N, P, and K and was negatively correlated with plant Cu. The dominant fungal taxa p_Ascomycota was positively related to plant Cu but negatively with the plant biomass and plant N, P, and K. Notably, arbuscular mycorrhizal fungi (p_Glomeromycota) were positively related with plant P below soil Cu 108 mg kg-1, and pathogenic fungi (p_Mortierellomycota) was negatively correlated with plant K above soil Cu 178 mg kg-1. These findings provided a new perspective on soil microbes and chemistry properties and the healthy development of the citrus industry at increasing soil Cu levels.

Evaluation of nutrients and heavy metals of surface soil in the upper watershed of Xiashan Reservoir in Shandong Province, China.

Reservoir is easy to be polluted by nutrients and heavy metals in the surrounding soil. There is a close relationship between heavy metals and nutrients in soil. Nutrient salts will affect the activity of heavy metals, and heavy metal pollution will affect plant growth and nutrient salt absorption, thus affecting ecosystem health. This study was performed to evaluate nutrients (TN, TP) and heavy metals (As, Cd, Cr, Cu, Hg, Ni, Pb, Zn) in the upper watershed of Xiashan Reservoir by the enrichment factor, the geoaccumulation index, the enrichment factor and leaching experiments. The results showed that the average enrichment of TN and TP reached the level of moderate pollution. The nutrient enrichment of different sampling sites increased gradually from south to north, which may be affected by the topography of the study area. The comprehensive trophic level exceeds the criteria for a state of severe eutrophication of water bodies, which may lead to the enrichment of nitrogen and phosphorus in the water body through processes such as runoff. Evaluation of the geoaccumulation index and potential ecological risk index revealed that the soil was primarily contaminated by Cd and Hg, which are in the level of considerable potential ecological risk and high potential ecological risk. So most attention should be paid to Cd and Hg pollution. Pollution control of heavy metals in soil is a priority because they are more difficult to leach than nutrients. This study provided an insight into the nitrogen and phosphorus control and heavy metal pollution management in the upper watershed of Xiashan Reservoir.

Dairy manure influences soil properties, plant nutrient uptake, and tuber quality in potatoes

AbstractDairy manure applications are a common practice in Idaho potato (Solanum tuberosum L.) production, however the impacts on tuber yield and quality are not well understood. Our objectives were to determine (1) how repeated dairy manure applications impact soil properties and plant nutrient uptake, and (2) how these changes influence plant nutrient interactions, tuber yield, and quality. Stockpiled dairy manure was fall‐applied over a 6‐year period to two adjacent potato production fields in Kimberly, ID. Eight treatments included application frequency (annual and biennial), manure application rate (18, 36, and 52 Mg ha−1 application−1 [dry weight basis]), fertilizer‐only, and a non‐amended control. Manure treatments were supplemented with fertilizer to prevent nutrient‐limiting conditions. Compared to fertilizer treatments, mean soil organic matter, total N, and K were greater for annual manure by 53%, 47%, and 426%, and biennial manure by 24%, 23%, and 199%, respectively. For annual applications only, mean soil nitrate, P, and electrical conductivity were greater than fertilizer treatments by 247%, 431%, and 222%, respectively. Manure promoted P and K luxury consumption with increasing application rate and frequency. Foliage Ca, Mg, Zn, Mn, and Cu correlated negatively against foliage K, potentially due to cation competition and translocation disruption. Annual applications decreased mean tuber specific gravity from 1.078 to 1.073, which may be attributed to saline‐sodic conditions and delayed maturity from late‐season N mineralization. Our findings suggest that biennial manure applications may prevent specific gravity issues. Agronomic parameters related to N, K, and soluble salts should be closely monitored in these systems.

Effects of mechanical defoliation and pinching applications on plant growth and root system analysis with machine learning in boxwoods

The effects of mechanical defoliation and pinching (1 cm tip cutting) on Buxus plant growth, nutrient mobilization, and root architecture were determined. When 100% defoliation was applied, the highest increase rates of 80.3% in shoots and 88% in leaves were observed compared to the control group. In contrast, the overall effects of defoliation and pinching were negative, with 100% defoliation having the most negative effects. The chlorophyll content of the newly formed young leaves was also 50% lower with 100% defoliation. Leaves and root nutrient mobilization changed significantly, depending on the effects of defoliation and pinching. Apart from a very small increase in root length and number of forks, the effects of the treatments were negative, with 100% defoliation having the greatest negative effect on root development. Most affected was the number of crossings, which was 78% lower than in the control. In addition, machine learning (ML) algorithms were used in the study, including multilayer perceptron, J48, PART, and logistic regression. The input variables were evaluated to model and predict the root features. The performance values of the ML algorithms were noted in the following order: Logistic Regression> PART> J48> MultilayerPerceptron. As the severity of defoliation increased, the losses of the plant also increased. However, boxwood has mechanisms to compensate for these losses even when it suffers complete defoliation.

Effects of long-term nighttime warming on extractable soil element composition in a Mediterranean shrubland

Understanding the soil biogeochemical responses to increasing global warming in the near future is essential for improving our capacity to mitigate the impacts of climate change on highly vulnerable Mediterranean ecosystems. Previous studies have primarily focused on the effects of warming on various biogeochemical processes. However, there is limited knowledge about how the changes in water availability associated to high temperatures can alter the bioavailability and dynamics of soil elements, thereby impacting ecosystem productivity, species composition, and pollution through soil biogeochemical and hydrological processes. In this study, we investigated the effects of long-term nighttime warming on the extractable concentrations of organic carbon (EOC), total nitrogen (ETN), total phosphorus (ETP), and 17 mineral elements (arsenic (As), calcium (Ca), cadmium (Cd), chromium (Cr), copper (Cu), iron (Fe), mercury (Hg), potassium (K), magnesium (Mg), manganese (Mn), molybdenum (Mo), nickel (Ni), lead (Pb), sulfur (S), strontium (Sr), vanadium (V), and zinc (Zn)) through environmental experiments in a semi-arid Mediterranean shrubland. We explored the potential biotic and abiotic mechanisms underlying the seasonal and long-term changes in extractable-mobilizable elemental composition and concentrations. Our findings revealed that prolonged warming led to higher mean annual soil temperature (with an average increase of 0.67 °C from 1999 to 2014), accumulation of soil organic matter (EOC) and extractable concentrations of soil elements (particularly increased ETP and extractable Ca, Mg, Cu, Sr, Mn, and As). These changes were attributed to uniformly higher activities of extracellular soil enzymes and/or lower plant photosynthetic and nutrient uptake capacity linked to more water deficit under warmer conditions. Seasonality unevenly altered element extractable concentrations, with soil microclimate (temperature and water content) and biological (soil microbial and plant) activity being the main drivers of this variability, thus influencing soil element composition. These results suggest significant fluctuations in the extractable concentrations of specific mineral elements in these soils, implying potential future variations in soil element composition as well as the loss of total element concentrations/contents in semi-arid Mediterranean ecosystems due to increasing warming. Therefore, these findings enhance our ability to predict ecosystem management strategies and mitigate the observed negative impacts on plant-soil systems and water quality in the context of climate change.

Assessing LDPE microplastics' impact on green gram (Vigna radiata L. Wilczek) cultivation: A greenhouse pot experiment

Plastic pollution, particularly from microplastics (MPs), poses a significant threat to agricultural ecosystems. This study investigates the impact of Low-Density Polyethylene (LDPE) microplastics on green gram (Vigna radiata) cultivation, focusing on growth, yield, and soil nutrient dynamics. A completely randomized design with nine treatments of varying LDPE concentrations was used in a controlled poly house environment. Soil analysis assessed mechanical and physico-chemical properties using established methods. Green gram variety Co (Gg) 8 was cultivated during the Rabi season, with comprehensive crop management including germination tests, pot culture preparations, precise fertilizer application, and essential cultural operations. Results indicated significant correlations between LDPE concentrations and green gram growth parameters, with higher concentrations having detrimental effects (correlation coefficient = −0.75, p < 0.05). LDPE treatments also influenced plant nutrient uptake, showing inverse correlations with nitrogen (N), phosphorus (P), and potassium (K) uptake (correlation coefficient = −0.82, p < 0.01). Post-harvest soil analysis revealed significant variations in available nutrients, with LDPE-treated soils exhibiting higher N, P, and K levels compared to control groups (correlation coefficient = 0.78, p < 0.01). Infrared spectroscopy confirmed the presence of LDPE microplastics in soil and plant samples, identified by characteristic (CO) and (C–H) stretching vibrations. These findings highlight the complex interactions between LDPE microplastics and agricultural systems, emphasizing the need for sustainable practices to mitigate the adverse effects of plastic pollution on agriculture. Statistical analysis using the CRD framework and correlation and regression analyses ensured robust interpretation of the data.

Estimating the Plant Nutrient Uptake of Selected Maize Varieties in Sri Lanka's Dry Zone at Various Fertilizer Rates

Estimating the Plant Nutrient Uptake of Selected Maize Varieties in Sri Lanka's Dry Zone at Various Fertilizer Rates

Environmentally friendly slow-release urea fertilizer based on modified chitosan membrane

The inefficient use of conventional fertilizers has prompted the exploration of slow-release fertilizer (SRF) systems to enhance plant nutrient delivery and uptake. This study investigates the potential of the chitosan (CS) membrane modified with succinic acid (SA) and calcium ions (Ca2+) as an effective SRF system. The CS/SA-U/Ca-coated membrane can extend the release period of urea, thereby optimizing fertilizer efficiency and promoting plant growth. The structural and chemical features of the CS/SA-U/Ca membrane were comprehensively analyzed. The modification with Ca2+ increased the membrane’s thickness, decreased its swelling degree, and resulted in a rougher, more porous surface, all of which contributed to a more controlled release of urea. Urea release profiles were evaluated in both water and soil, demonstrating that the CS/SA-U/Ca coating extended the release period to 20 days in water and over 30 days in soil. Quantitative UV–Vis spectrophotometry and qualitative assessments were used to measure the urea release and evaluate the impact of the SRF on vegetable plant growth. Experimental results demonstrated a significant enhancement in plant growth, with a 46 % increase in stem growth and a doubling of leaf count compared to control plants without the SRF membrane. These findings suggest that the CS/SA-U/Ca-coated SRF system holds promise for optimizing fertilizer use and promoting plant growth by providing a more controlled nutrient release.

Waste as a Sustainable Source of Nutrients for Plants and Humans: A Strategy to Reduce Hidden Hunger

Worldwide, over half of all preschool-aged children and two-thirds of non-pregnant women of reproductive age suffer from hidden hunger. This situation may worsen due to the expected increase in the world population and the effects of climate change. The objective of this paper is to conduct a review of the relationship between soil, plants, and humans at the nutritional level, factors that affect the availability of nutrients, and sustainable strategies to reduce hidden hunger from an organic waste utilization point of view. Nutritional deficiency in people begins with nutrient-deficient soil, followed by crops that do not meet humans’ nutritional needs. According to previous studies, most agricultural soils are deficient in nutrients; however, organic residues containing high concentrations of minerals are present in the non-edible parts that are discarded. New opportunities (based on the circular economy strategy) are opening up to take advantage of the nutrient pool of organic residues, such as the preparation of substrates (technosols) or amendments. Their incorporation into the soil may consider various circumstances to ensure the mineralization and bioavailability of nutrients for crops. Several agronomic practices and methods to monitor soil and crop nutrient depletion can be considered among the best strategies to mitigate and reduce hidden hunger through determining which foods and which parts should be ingested, and how to process them to ensure mineral bioavailability.

Metagenomic profiling of rhizosphere microbiota: Unraveling the plant-soil dynamics

Rhizosphere is a dynamic and complex environment shaped by intricate interactions between plants and a diverse microbial community. The rhizosphere microbiome is crucial for plant growth, nutrition, and health in agro-ecosystems. Recent advancements in metagenomics, especially through shotgun sequencing, offer unprecedented opportunities to unravel the complexities of rhizosphere microbial dynamics. Sequence and function-based metagenomic approaches enhance our understanding of plant-microbe relationships and serve as transformative tools for sustainable agriculture. They offer insights into precision microbiome engineering and ecosystem management by capturing the genomic landscape of microbial communities, revealing their taxonomic composition and functional potential. The integration of computational tools and machine learning approaches provides a powerful analytical framework to interpret vast and intricate metagenomic datasets. This paper comprehensively explores the rhizosphere using cutting-edge shotgun sequencing techniques to capture a holistic view of microbial communities in this crucial zone. Additionally, it delves into the emerging domain of virus-rhizosphere interactions, elucidating the impact of viral dynamics on rhizosphere microbial composition. To date, significant achievements in rhizosphere biology through metagenomics include detailed characterizations of microbial diversity, functional profiling of microbial communities, and identification of key microbial players in plant health and nutrient cycling. These advances underscore the critical role of metagenomics in advancing our understanding of rhizosphere biology and its applications in sustainable agriculture. The novel application of these advanced metagenomic techniques presents both opportunities and challenges, offering deeper insights into the rhizosphere while highlighting the need for improved data integration and interpretation methods.

Efficiency of Fulvic Acid for Improving Physico-Chemical Properties of Albic Black, Gansu Desert and Shahjiang Black Soils

Fulvic acids are a crucial component of soil that influence various chemical, biological, and physical aspects of soils as well as increase nutrient availability. We examined that application of plant-derived liquid (PDL) fulvic acid on three low obstacle, typical Chinese soil can improve the soil fertility and enhance the plant growth and nutrients uptake. The pot experiments were carried out on three different Albic (AL), Irrigated Desert (IR) and Shahjiang Black (SH) soils, the Plant-derived Liquid (PDL) fulvic acid (FA) was applied at rates of 0.50% as well as control applied at 0% along with three replications. The results showed that PDL FA significantly increases the SOC content in three soils highest SOC was detected at SH, however the SOC fractions were significantly decreased in AL, SH and no-significant difference was recorded at IR. Similarly, the soil pH was significantly increased in AL and decreased at IR and SH, however, the electrical conductivity of IR decreased and increased in AL and SH comparing with initial soil pH and electrical conductivity. The results also examine that available nitrogen, phosphorus of AL, IR and SH soils were increased, however, available potassium content was decreased in IR and increased at AL and SH comparing with initial values. The highest Ca and Mg content was observed in SH and organic degree compound were found 26.7% AL, 49.2% IR and 18.2%, SH soil, conversely the organic-inorganic composite was observed lower. This study suggests that the PDL FA significantly increases the nutrient content of AL, IR and SH soils comparing with initial soil properties.

Recovery of plant nutrients from human excreta and domestic wastewater for reuse in agriculture: a systematic map and evidence platform

BackgroundAchieving a more circular and efficient use of nutrients found in human excreta and domestic (municipal) wastewater is an integral part of mitigating aquatic nutrient pollution and nutrient insecurity. A synthesis of research trends readily available to various stakeholders is much needed. This systematic map collates and summarizes scientific research on technologies that facilitate the recovery and reuse of plant nutrients and organic matter found in human excreta and domestic wastewater. We present evidence in a way that can be navigated easily. We hope this work will help with the uptake and upscaling of new and innovative circular solutions for the recovery and reuse of nutrients.MethodsThe systematic map consists of an extension of two previous related syntheses. Searches were performed in Scopus and Web of Science in English. Records were screened on title and abstract, including consistency checking. Coding and meta-data extraction included bibliographic information, as well as recovery pathways. The evidence from the systematic map is embedded in an online evidence platform that, in an interactive manner, allows stakeholders to visualize and explore the systematic map findings, including knowledge gaps and clusters.ResultsThe evidence base includes a total of 10 950 articles describing 11 489 recovery pathways. Most of the evidence base is about recovery technologies (41.9%) and the reuse of recovered products in agriculture (53.4%). A small proportion of the evidence base focuses on the characteristics of recovered products (4.0%) and user acceptance and perceptions of nutrient recovery and reuse (0.7%).ConclusionsMost studies we mapped focused on nutrient recovery from ‘conventional’ systems, that is, from centralized sewer and wastewater treatment systems that produce biosolids and a treated effluent. While we also found substantial research on nutrient recovery from source-separated urine, and to some extent also on nutrient recovery from source-separated excreta (notably blackwater), the body of research on nutrient recovery from source-separated feces was relatively small. Another knowledge gap is the relative lack of research on the recovery of potassium. More research is also needed on user acceptance of different recovery technologies and recovered products.