Variability Of Soil Nutrients Research Articles

Effects of Long-Term Rice–Crayfish Coculture Systems on Soil Nutrients, Carbon Pools, and Rice Yields in Northern Zhejiang Province, China

This research was to examine the impacts of long-term integrated rice–crayfish farming on soil nutrients, carbon pools, and rice yields in paddy fields. The aim was to establish a scientific basis for the sustainable development of RS in the northern region of Zhejiang. The results showed that the change from rice monoculture (CK) to rice–crayfish coculture systems (RS) led to a 24.99% increase in the 5-year average of soil ammonium nitrogen (AN), while the soil nitrate nitrogen (NN), available potassium (AK), and available phosphorus content (AP) decreased by 28.02%, 16.05%, and 28.76%, respectively. Moreover, the total organic carbon (TOC), easily oxidizable organic carbon (EOC), dissolved organic carbon (DOC), and microbial biomass carbon (MBC) exhibited a reduction of 2.45%, 8.82%, 35.31%, and 65.84%, respectively. Correlation analysis revealed a significant positive correlation between NN, EOC, and MBC in the RS mode. In terms of rice yield, the 5-year average of rice yield in RS decreased by 8.40% compared to CK. The mean yield of early-maturing rice varieties was reduced by 13.16%, while that of late-maturing rice varieties was reduced by 6.00%. These results shed light on the annual variation in soil nutrients, carbon pools, and rice yield in the RS mode, providing insights for the sustainable development of RS in northern Zhejiang.

Available nitrogen and enzyme activity in rhizosphere soil dominate the changes in fine-root nutrient foraging strategies during plantation development

The variation in fine-root traits in response to soil resources (i.e., fine-root nutrient foraging strategy) is critical for plants to adapt to environmental changes and even win in intra- or interspecific resource competition. However, the patterns and driving mechanisms that change in fine-root traits and nutrient foraging strategies during the development of plantations remain unclear. We analyzed the relationships among fine-root traits, rhizosphere soil nutrient variables, and enzyme activities at four stages of Pinus massoniana plantations: 18 years (young), 30 years (middle-aged), 43 years (mature), and 63 years (overmature). We found that specific root area (SRA) and specific root length (SRL), which represent the speed of nutrient acquisition, decreased with stand development. Root tissue density (RTD) and specific root tip number (SRT), which represent the cost of nutrient foraging, decreased with stand development after peaking in the mature and middle-aged forests, respectively. Compared with young stands, fine-root organic carbon and total phosphorus contents decreased by 23 % in the overmature forest, but total nitrogen increased by nearly 50 %. Principal component analysis (PCA) showed that those fine-root traits significantly varied from young to overmature stands on PC1, and such a shift was consistent with changes in the growth period from fast (in the young forest) to slow (in the overmature forest) for P. massoniana. We suggest that those changes in fine-root traits along the PC1 represents a change in the fine-root foraging strategy of P. massoniana. This strategy (i.e., PC1) was negatively correlated with rhizosphere soil total nutrients (i.e., soil organic carbon and total nitrogen) and carbon (C)-nitrogen (N)-phosphorus (P) stoichiometry but positively correlated with available carbon, nitrogen, and C and N cycling-related enzyme activities. Specifically, the variation in rhizosphere soil NH4+ had the highest amount of explication (72 %) for the variation in the root nutrient foraging strategy. These results demonstrate that the intensity of the fine-root response to soil resources is related to the structure of rhizosphere soil available nutrients (especially soil available nitrogen) as well as carbon and nitrogen conversion enzyme activities during plantation development. Such relationships can reshape fine-root traits and change the fine-root nutrient foraging strategies during the development of plantations

The influence mechanism of soil pore structure on spatial variability of soil water and nutrients in the mining-induced subsidence area of China northwest

The influence mechanism of soil pore structure on spatial variability of soil water and nutrients in the mining-induced subsidence area of China northwest

The dynamics between soil erosion, nutrient variability, land use, topography, and implications for food security in Southern Ethiopia

The dynamics between soil erosion, nutrient variability, land use, topography, and implications for food security in Southern Ethiopia

Soil‐Sampling Grid Size Considerations for Site‐Specific Nutrient Management in the Southeastern U.S.

AbstractOne of the most important aspects of site‐specific nutrient management is precision soil sampling such as grid‐ and zone‐based strategies to determine varying soil nutrient levels within a field. And for grid soil sampling, one of the most important considerations is the size of the grids as it affects both the sampling resolution and costs. Questions and concerns from growers about the effectiveness of different grid sizes in accurately depicting soil nutrient variability have become common recently, warranting an investigation into how grid size affects application accuracy and economics of site‐specific nutrient management in the southeastern U.S. Earn 0.5 CEUs in Nutrient Management by reading this article and taking the quiz at https://web.sciencesocieties.org/Learning‐Center/Courses.

A comparative analysis of soil physicochemical properties and microbial community structure among four shelterbelt species in the northeast China plain.

The focal point of this study lies in the implementation of a controlled experiment conducted under field conditions. In this experiment, we deliberately selected four shelterbelts within the same field, characterized by identical planting density, and planting year. This deliberate selection effectively mitigated the potential impact of extraneous factors on the three microbiomes, thereby enhancing the reliability and validity of our findings.

A new approach to measure spatial variability of soil parameters and field technique to test-value specific fertilizer recommendations

<p>Information on the distribution of soil properties is important to know the status of nutrients in the soils based on which fertilizer nutrients are recommended. Given the variability of nutrients in the soils, making a site-specific fertilizer recommendation seems to be a compelling work. To determine the spatial variability of soil nutrients and to make judicious and precise fertilizer recommendations, new measures are designed with this study. These measures are tested against the soil samples (n = 43) for total nitrogen (N), organic matter (OM), phosphorus (P2O5), and potassium (K2O) in the study area. The descriptive statistical analysis indicated an average of low nitrogen and organic matter, while phosphorus was found to be very high and the level of potassium was high. The spread of nutrients across the data sets, however, included low, medium, high, and very high levels of ratings. The Deviation Square Index was developed and applied for the variability measurement and found that the largest variation was with phosphorus distribution, followed by potassium, nitrogen, and organic matter. The coefficient of variation (CV%) analysis also exhibited similar trends in nutrient distributions. Nitrogen was the main determinant explaining the variations in rice yield, while phosphorus and potash were negatively related to the yield. An index of fertilizer nutrient recommendation called Test-Value Specific Dose (TVSD) was developed and used to calculate the nutrient recommendation for each sampled location. This new method gave easy and more accurate doses of fertilizer over the blanket recommendation to fit the variations across the soil samples.</p>

Understanding the impact of within-field Olsen P variation on common wheat production in Olsen P deficient soils

This study investigates the influence of Olsen phosphorus (Ps) within-field variability on common wheat production in Ps-deficient soil. It covers a comprehensive investigation conducted over two growing seasons in Tuscany, Italy, aiming to evaluate the impact of within-field Ps variation on common wheat production and crop responses to different agronomic treatments. Field experiments were undertaken, employing 24 treatments, including 4 wheat varieties, 2 seeding densities, and 3 nitrogen fertilization levels. Soil samples were collected to determine within field variability of main soil properties. At harvesting, aboveground biomass was collected to determine grain yield, straw, and total protein content. Firstly, an ANOVA was performed to account for the effect of the agronomical treatments on crop parameters, namely the Agronomical Input Model (AIM). Then, soil total nitrogen (Ns) and Ps, were added as covariates in a new model, namely the Agronomical and Soil Input Model (ASIM). Results showed a significant spatial variability of Ps within the fields, ranging between 13.7 and 17.4 mg kg-1. Despite this minimal variation in Ps, we observed a linear increase in GY of about 1430 kg ha-1 for each increase of 1 mg kg-1 in Ps. Further studies should be conducted to account for non-linear responses at both lower and higher Ps levels. The ASIM model outperformed AIM, indicating a notable increase in predictive accuracy for both grain yield and protein concentration due to its incorporation of soil parameters. The variance explained by ASIM in predicting the grain yield and protein concentration in grain increased by about 11.0 % and 17.3 %, respectively, with respect to AIM. The study emphasizes the necessity of managing within-field Ps variability through targeted fertilization strategies to enhance wheat production in Ps-deficient soils. By addressing soil nutrient variability, this research aims to contribute to more precise and efficient common wheat production systems.

Variations of Soil Organic Matter and Nutrients in Diverse Hilly Soils of Bandarban, Bangladesh

Functioning and positive interactions in an ecosystem depend on physical and chemical features of soil, along with nutrient status. These soil nutrients are vital for the growth and development of plants, playing a crucial role in various essential functions. The current study investigates the dynamic changes in soil nutrient patterns across different land use scenarios and soil depths at Bandarban Sadar Upazila, Chittagong Hill Tracts, Bangladesh. The research focuses on how soil nutrient levels are distributed in two soil depths (0-15 cm and 15-30 cm) among three different land use practices, such as forest land, agricultural land and barren land. About 90 soil samples from the study area were collected using a stratified random sampling design. The analysis reveals significant variations in soil pH, organic matter (OM), total nitrogen (TN), phosphorus (P), potassium (K), and sulfur (S) levels among these land use types and soil depths. The findings revealed that agricultural land typically exhibited higher levels of soil S content and pH, in contrast to forested areas where OM, TN, P, and K levels were comparatively more abundant. Again, barren land showed a relatively higher pH and S content than agricultural land and forest land. Additionally, the topsoil (0-15 cm) generally showed higher nutrient content than the deeper soil layer (15-30 cm). The investigation uncovered significant positive correlations of OM with soil nutrients such as TN, P, K & S, indicating mutual influences on their availability. Overall, the research outcomes emphasize the importance of sustainable land management practices to maintain soil fertility and optimize soil productivity in this ecologically significant region.

Spatial differentiation of soil nutrients and their ecological chemometrics based on geographic detector in National Agricultural Park of Tangchang, Southwest China.

In order to analyze the spatial variability of soil nutrients and their ecological chemometrics in Tangchang Town, National Agricultural Park, 20 influencing factors were selected: soil pH, Cd, Hg, As, Cu, Pb, Cr, Zn, Ni, Se, elevation, slope, aspect, land use type, distance from industrial land, distance from commercial land, distance from railway, distance from residential area, distance from highway and distance from river. The effects of various influencing factors on the spatial variability of total organic carbon (TOC), total nitrogen (N), total phosphorus (P), total potassium (K) and ecological stoichiometry were analyzed by means of geographic detector. The results showed that average contents of soil TOC, N, P and K in the study area are 10.24 g kg-1, 1.33 g kg-1, 1.14 g kg-1 and 23.60 g kg-1, respectively, and there were significant differences in the spatial distribution of soil nutrients and their eco-stoichiometry in the study area, and TOC, N, P, K, C/N, C/P, C/K, N/P, N/K and P/K has a significant correlation with each other and most correlation coefficients are above 0.5 or below -0.5. Factor detection showed that soil properties, distance from railway and distance from residential area had the most significant explanatory power to the spatial heterogeneity of soil nutrients and eco-stoichiometry. Interaction detection showed that the interaction between soil properties with other factors was the most important factor affecting the spatial differentiation of soil nutrients and their ecological chemometrics, and elevation, distance from railway and distance from residential area were also important factors. Risk detection showed that the differences of soil nutrients and their ecological stoichiometry were most significant in the subregions of soil properties (pH, Cd, Hg, As, Cu, Pb, Cr, Zn, Ni and Se).

Effects of planting year of alfalfa on rhizosphere bacterial structure and function

In many areas across the world, alfalfa is still cultivated in the same place over many years, leading to gradually deplete the soil nutrients and increase plant disease and consequent decreases in the yield and quality. Agricultural management practices have been proved to affect largely soil microbial community structure and functions in many reports, but it remains unclear how planting year effects extend to the rhizosphere under a long-term cultivation practices of alfalfa. Exploring such impacts is of great importance to understand and develop plant-microorganism interactions for agricultural sustainability. A long-term field experiment was set up at Linze research station of Lanzhou University in Gansu province, where alfalfa was continuously planted for four years (Y4) and six years (Y6). Rhizosphere soils from two different planting years were collected to examine differences in the bacterial diversity, composition and co-occurrence patterns using 16S rRNA gene sequencing technologies as well as in functional profiles involved in nitrogen cycling predicted by FAPROTAX. We found that soil nutrients including soil organic carbon (SOC), AP (available phosphorus) and nitrate nitrogen (NO3−-N) differed significantly between planting years. Bacterial taxonomic diversity, composition and the relative abundance of functional groups involved in nitrogen cycling were significantly affected by planting years, sampling time and their interactions. Co-occurrence network analysis showed that keystone taxa in both planting years were affiliated to Proteobacteria and bacteria taxa had less complexity and more negative correlations in Y6 than in Y4. NO3−-N was a major factor affecting bacterial community diversity and composition across planting years. Together, our findings suggest that planting years of alfalfa can lead to large variations in soil nutrients and rhizosphere microbial community patterns. These results implies that in agricultural management practices, planting year effects can even extend to microorganisms in association with plant roots, which may affect crop growth given close linkages between rhizosphere processes and plant nutrition availability.

Investigation on Zoning Management of Saline Soil in Cotton Fields in Alar Reclamation Area, Xinjiang

Aiming at assessing the problems of the high land salinity, high spatial variability of soil nutrients, sloppy management, and low efficiency in the Xinjiang region, research on the precise delineation method of field management zones is being conducted to facilitate differentiated fertilizer management for farmers and increase the level of saline soil improvement. Taking the plots in the experimental area as the research object, traditional statistics, principal component analysis, and fuzzy c-mean classification were applied to divide the management zoning in the study area, and the suitability and effectiveness of the management zoning were evaluated. The study area was at a mild salinization level; the soil organic matter and total nitrogen content were at a low level; total phosphorus was at a medium level; and total potassium and pH reached a high level. pH had a coefficient of variation <0.1, which was weak, and the other soil attributes were of medium variability intensity. The spatial distribution of the soil attributes was highly variable. The results of the principal component analysis showed that the six soil attributes grouped into statistical factors could be divided into three principal components. The results of the fuzzy c-means classification showed that the study area could be divided into four management zones, and there were significant differences in the soil salinity, organic matter, soil nutrients, and other attributes in the different management zones. The different soil attributes could be utilized to determine the management zoning of farmland in the study area with the help of fuzzy c-mean classification.

Tree species identity affects nutrient accumulation and stoichiometric in soil aggregates in mixed plantations of subtropical China

The conversion of monocultural to mixed plantations is an increasing and widespread practice worldwide to improve forest productivity and soil fertility. Although tree species identity can affect soil ecological processes, there is still limited research on how it affects soil aggregate stability and nutrient variability. Here, we investigated the variation of 0–100 cm aggregate stability index (percent of aggregate destruction, PAD; fractal dimension, D; geometric mean diameter, GMD; mean weight diameter, MWD), associated carbon (C), nitrogen (N), phosphorus (P), and stoichiometry in mixed plantations from coniferous trees (Pinus massoniana Lamb.) and a variety of individual broadleaved trees (Camellia oleifera Abel, Manglietia chingii Dandy, Cercidiphyllum japonicum Sieb. et Zucc., Michelia maudiae Dunn, and Bretschneidera sinensis Hemsl.). We discovered that compared to coniferous plantations, most mixed plantations significantly improved the mechanical and water stability of topsoil aggregates. Deep-rooted tree species (e.g., Michelia maudiae Dunn) favored the development of subsoil macro-aggregates to improve aggregate water stability (e.g., PAD = 46.10, MWD = 1.23, GMD = 0.49, D = 2.81). Mixed planting led to the enrichment of soil C, N, and P in microaggregate, which increased by at least 37.14, 20.24, and 61.11 %, respectively. The reduced C:P and N:P in soil aggregates indicate that soil P limitation may be alleviated. Furthermore, tree species and soil depth indirectly affected aggregate stability to regulate the accumulation of C, N, and P. Overall, we emphasize the necessity of selecting tree species combinations with complementary ecological niches in mixed plantations to improve soil stability and support forest productivity.

Sistemas de información geográficos y vehículos aéreos no tripulados para la evaluación de suelos y pastos

The objective of this review is to present soil and pasture evaluation studies using georeferenced aerial photographs captured by sensors on board drones and analyzed using the Geographic Information System (GIS) to develop strategies for use in the management of pastures and farm potential. The use of intensive grazing systems requires advanced knowledge for efficient management, and smart and precision agriculture represents a strategy to reduce costs. Using GIS and drones, an immediate comprehensive diagnosis is obtained, such as quantification of the degradation of a pasture or farm, distribution of botanical composition, and variability of soil and pasture nutrients to generate fertilization plans by specific area (precision agriculture).

Impacts of long-term organic manure inputs on cultivated soils with various degradation degrees

With an increasing concern of soil health and sustainable development, organic manure application has been readdressed in recent years. In Northeast China, the agricultural industry is highly developed and organic manure resources are abundant, but soil degradation is serious due to extensive expansion of cultivation. Currently, limited information is available on how soils with various degradation degrees respond to long-term manure fertilization. Given that, a comparative study was conducted based on soil functional assessment of croplands with over 35 years of manure fertilization (maize straw compost, SA; cattle manure, CA) and various degradation degrees (none, light, moderate, and heavy). Soils in these croplands were loess-derived Mollisols and concentrated on a gentle to flat slope. Except for the difference in manure fertilization (SA and CA), similar field managements were adopted for these croplands during the past 35 years. Results showed that the impacts of erosion degradation and manure fertilization on soil physical structure lasted across the whole profile (0 ∼ 120 cm), while their impacts on soil nutrient properties were concentrated in shallow layers (<50 cm). Meanwhile, erosion degradation dominated 17.9% of the variance of soil physical structure, and soil profile depth contributed to 15.9% of soil nutrient variation. According to field validation regarding soil erosion modulus and crop yield, principal component analysis (PCA) with a nonlinear scoring method showed a good performance on the integrated soil functional index (ISI) assessment in this study area. The ISI of these croplands was found to be minimally characterized by BD, SOC, TN, AK, sand content, and CEC (R2 >0.64, p < 0.001). In addition, manure fertilization could significantly improve the ISI and maize yield for degraded soils, but had a slight impact on these two indicators for non-degraded soils. In terms of contribution to ISI improvement, SA (1.79% ∼ 283.73%) generally outperformed CA (4.53% ∼ 212.83%), while the latter was more effective in altering soil structure in deep layers (>70 cm). Generally, the ISI and maize yield were more susceptible to erosion degradation than manure fertilization. The obtained results provide useful information for a better cropland management in Northeast China.

Periodic Flooding Decoupled the Relations of Soil C, N, P, and K Ecological Stoichiometry in a Coastal Shelterbelt Forest of Eastern China

Understanding the variation in soil nutrients found in coastal shelterbelt forests in response to periodic flooding is crucial for restoring the soil quality of flooded stands. In this study, we examined soil organic carbon (SOC), total nitrogen (TN), total phosphorus (TP), total potassium (TK) contents and their ecological stoichiometry, as well as soil organic matter and soil-available N, P, and K contents at three soil depths (0–10, 10–20 and 20–30 cm), in a shelterbelt forest of eastern China that was affected by periodic flooding. Results showed that soil C, N, and P contents all had a clear decreasing trend after being flooded, with significant decreases in SOC, TN and hydrolyzable N of 0–10 cm soil, as well as TP of 10–20 cm soil. Soil K content, however, had minimal changes after flooding across different soil layers. Soil C:N ratio increased significantly in 0–10 cm layer, while soil C:P, C:K, N:P, N:K, and P:K ratios decreased notably in both 0–10 cm and 20–30 cm layers following the flooding. Additionally, periodic flooding partially decoupled the correlations among SOC, TN, TP, TK and their ratios. For example, the connection between TK and N:P reversed into a negative correlation in 10–20 cm soil, while SOC and TK became negatively correlated with TP and P:K in the 20–30 cm layer. Principal component analysis revealed the effects of periodic flooding on soil C, N, P, and K availability, in which the total explained variance was decreased from 94% to 86.6%. Specifically, flooding significantly reduced the SOC and soil TN contents on the first axis, influencing C- and N-related ratios. On the second axis, flooding mainly affected soil TK content, which subsequently influenced the correlation between SOC and TK. Thus, periodic flooding notably affected the soil C, N, P, and K ecological stoichiometries of the coastal forest, but the variation patterns were depth-dependent. The insights gained from these results can contribute to the restoration of soil quality in degraded stands caused by flooding in the coastal shelterbelts regions of Eastern China.

Space-time dynamics and potential drivers of soil moisture and soil nutrients variation in a coal mining area of semi-arid, China

The spatial–temporal variability of soil moisture plays a pivotal role in the reconstruction and management of ecosystems in mining areas. However, the actual driving mechanisms behind long-term, continuous mining disturbances remain unclear due to a lack of continuous data. To address this gap, a network of instrumented sites, known as Disturbed Critical Zone Observatories (DCZO), has been established for ecological monitoring in mining areas. In this study, we used Sentinel-1A images of the Dafosi Mine from 2014 to 2022 and one year of continuous DCZO monitoring data. We employed Theil-Sen median trend analysis, empirical orthogonal function (EOF), and structural equation modeling (SEM) to quantitatively explore the factors influencing the variability of soil moisture and soil nutrients under continuous mining disturbances. The results showed: (1) Inter-annual variations in soil moisture differed among coal seams mined in various years, with the steepest decline observed in seams mined in 2021–2022 > 2018–2020 > 2015–2017 > 2013–2014. (2) Mining areas exhibited a significant reduction in Available Nitrogen (AN), Available Phosphorus (AP), and Available Potassium (AK), with decreases of 25.12 %, 25.38 %, and 22.59 %, respectively, compared to non-mining areas. (3) The first two EOFs explained 80.42 % of the observed spatiotemporal soil moisture pattern, 77.69 % of AN, 70.21 % of AP, and 88.32 % of AK, accounting for the total variability in soil moisture and soil nutrients. (4) The contribution rates of mining to soil moisture and nutrient variation were 27.31 % and 13.91 %, with subsidence having the most pronounced negative impact. Additionally, our study revealed that while soil moisture can partially recover through natural processes, soil nutrients require artificial reclamation during mining. This study offers valuable insights for sustainable mining management.

Landscape-based nutrient application in wheat and teff mixed farming systems of Ethiopia: farmer and extension agent demand driven approach

IntroductionAdapting fertilizer use is crucial if smallholder agroecosystems are to attain the sustainable development goals of zero hunger and agroecosystem resilience. Poor soil health and nutrient variability characterize the smallholder farming systems. However, the current research at the field scale does not account for nutrient variability across landscape positions, posing significant challenges for targeted nutrient management interventions. The purpose of this research was to create a demand-driven and co-development approach for diagnosing farmer nutrient management practices and determining landscape-specific (hillslope, mid-slope, and foot slope) fertilizer applications for teff and wheat.MethodA landscape segmentation approach was aimed to address gaps in farm-scale nutrient management research as well as the limitations of blanket recommendations to meet local nutrient requirements. This approach incorporates the concept of interconnected socio-technical systems as well as the concepts and procedures of co-development. A smart mobile app was used by extension agents to generate crop-specific decision rules at the landscape scale and forward the specific fertilizer applications to target farmers through SMS messages or print formats.Results and discussionThe findings reveal that farmers apply more fertilizer to hillslopes and less to mid- and foot slopes. However, landscape-specific fertilizer application guided by crop-specific decision rules via mobile applications resulted in much higher yield improvements, 23% and 56% at foot slopes and 21% and 6.5% at mid slopes for wheat and teff, respectively. The optimized net benefit per hectare increase over the current extension recommendation was $176 and $333 at foot slopes and $159 and $64 at mid slopes for wheat and teff (average of $90 and $107 for wheat and teff), respectively. The results of the net benefit-to-cost ratio (BCR) demonstrated that applying landscape-targeted fertilizer resulted in an optimum return on investment ($10.0 net profit per $1.0 investment) while also enhancing nutrient use efficiency across the three landscape positions. Farmers are now cognizant of the need to reduce fertilizer rates on hillslopes while increasing them on parcels at mid- and foot-slope landscapes, which have higher responses and profits. As a result, applying digital advisory to optimize landscape-targeted fertilizer management gives agronomic, economic, and environmental benefits. The outcomes results of the innovation also contribute to overcoming site-specific yield gaps and low nutrient use efficiency, they have the potential to be scaled if complementing innovations and scaling factors are integrated.

Rice bacterial leaf blight drives rhizosphere microbial assembly and function adaptation.

Rice bacterial leaf blight (BLB) is the most destructive phyllosphere bacterial disease caused by Xanthomonas oryzae pv. oryzae. The effect of soil-borne diseases on the rhizosphere microbiome has been extensively investigated. However, the regulatory role of the phyllosphere disease BLB on the rhizosphere microbiome remains unclear. Here, we observed that BLB significantly altered the composition of the bacterial-fungal community in the rhizosphere, decreasing bacterial diversity but not fungal diversity. The scale of inter-kingdom networks in the rhizosphere microbiome of BLB-infected plants was more complex and broader than in healthy plants, while the bacterial community was more vulnerable to BLB than the fungal community. Indeed, the relative abundance of Streptomyces, Chitinophaga, Sphingomonas, and Bacillus was higher in the BLB rhizosphere, which can be explained by their keystone hub taxa status in the rhizosphere co-occurrence network. Null model analysis showed that the deterministic assembly of bacterial communities increased while that of fungi decreased. Additionally, the assembly of bacterial and fungal communities was significantly related to variations in BLB and soil nutrients, especially pH and available phosphorus. Random forest model results showed that the bacterial community in the rhizosphere had a strong potential for predicting BLB. Metagenomic analysis revealed that BLB had a considerable impact on the functional adaptation of the rhizosphere microbiome. Interestingly, the abundance of some functional genes involved in carbon, phosphorus, and methane metabolism increased drastically.IMPORTANCEOur results suggest that rhizosphere bacteria are more sensitive to bacterial leaf blight (BLB) than fungi. BLB infection decreased the diversity of the rhizosphere bacterial community but increased the complexity and size of the rhizosphere microbial community co-occurrence networks. In addition, the relative abundance of the genera Streptomyces, Chitinophaga, Sphingomonas, and Bacillus increased significantly. Finally, these findings contribute to the understanding of plant-microbiome interactions by providing critical insight into the ecological mechanisms by which rhizosphere microbes respond to phyllosphere diseases. In addition, it also lays the foundation and provides data to support the use of plant microbes to promote plant health in sustainable agriculture, providing critical insight into ecological mechanisms.

Nutrient coordination mechanism of tiger nut induced by rhizosphere soil nutrient variation in an arid area, China

Nutrient coordination mechanism of tiger nut induced by rhizosphere soil nutrient variation in an arid area, China