Soil & Tillage Research最新文献

{"title":"Ratio of physical model parameters can retrieve aggregate size from different types of soil in cultivated regions","authors":"","doi":"10.1016/j.still.2024.106262","DOIUrl":"10.1016/j.still.2024.106262","url":null,"abstract":"<div><p>Soil aggregate size, which is a proxy used to guide agricultural decisions and tillage management, can be estimated using optical remote sensing techniques. However, limited investigation has been conducted into the potential of using a physical model to retrieve soil aggregate size (&lt; 2 mm) from different types of soil. This study is based on the multi-angular spectral measurements of seven soil samples from five soil types with 14 aggregate size fractions collected in Northeast China, three versions of the Hapke model were inverted using the Bayesian method. The findings confirmed that all three versions of the Hapke model can well characterize the angular reflection characteristics of all soil samples with different aggregate sizes. The inverted photometric parameters such as single scattering albedo <em>ω</em>, shape parameter <em>b</em>, and asymmetry parameter <em>c</em> were found to be sensitive to soil aggregate size, but the relationships rely on soil types because of the dependence of parameters related to soil composition. In order to obtain a general model that can be applied to different types of soil, the ratio of parameters (RoP) = (<em>b + c</em>)/<em>ω</em>, which is controlled by the external structure of soil aggregates, was proposed to retrieve the aggregate size from different soil types. Results show that the RoP can robustly capture the aggregate size of the soil with high accuracy and is insensitive to soil types. The combination of photometric parameters related to soil aggregate size provides a new method for retrieving the structural properties of the soil by eliminating interfering factors.</p></div>","PeriodicalId":49503,"journal":{"name":"Soil & Tillage Research","volume":null,"pages":null},"PeriodicalIF":6.1,"publicationDate":"2024-08-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141915060","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A novel quantitative detection method for soil organic matter content based on visible to near-infrared spectroscopy","authors":"","doi":"10.1016/j.still.2024.106247","DOIUrl":"10.1016/j.still.2024.106247","url":null,"abstract":"<div><p>Continued mining operations have resulted in substantial soil degradation, necessitating the effective restoration of ecological functions in soils. Accurate and rapid measurement of soil organic matter (SOM) is essential for boosting soil fertility, supporting ecological restoration, and facilitating effective environmental management. Combining visible to near-infrared spectroscopy with machine learning algorithms is a promising technique for quantitative analysis of SOM. Firstly, the paper utilized a spectral pre-processing method that integrates fractional order differentiation transformation (FOD) and optimal band combination (OBC) algorithm. OBC algorithm was used to construct six three-band spectral indices to obtain optimal spectral combination parameters. Then, the HOVD-TELM model was constructed based on the hybrid model of two-hidden-layer extreme learning machine and Harris hawk optimizer. The opposition-based learning, vertical crossover operator and disruption operator were added to prevent the model from converging prematurely. The experimental results showed that: (1) compared with the pre-processing methods such as integer order differentiation and two-band spectral index, the FOD and OBC methods used in this paper obtained more ideal spectral pre-processing effects. (2) compared with models such as Partial least square regression and Extreme gradient boosting, the HOVD-TELM model proposed in this paper obtained the optimal prediction performance, with the minimum RMSE of 6.7874 g·kg⁻¹ and the maximum R² of 0.9209, indicating good prediction reliability. In summary, this paper proposed a fast and accurate method for detecting soil organic matter content and improves the estimation accuracy of SOM content.</p></div>","PeriodicalId":49503,"journal":{"name":"Soil & Tillage Research","volume":null,"pages":null},"PeriodicalIF":6.1,"publicationDate":"2024-08-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141915061","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Pore connectivity and anisotropy affect carbon mineralization via extracellular enzymes in > 2 mm aggregates under conservation tillage of Mollisols","authors":"","doi":"10.1016/j.still.2024.106253","DOIUrl":"10.1016/j.still.2024.106253","url":null,"abstract":"<div><p>Soil aggregates, which are the basic units of soil structure, play an important role in the carbon cycle of ecosystems. The pore characteristics of aggregates influence soil organic carbon sequestration. However, studies on SOC mechanisms in aggregates have been limited to Mollisols. This study was conducted as a long-term experiment established in 2004 with a corn-soybean rotation in Mollisols. There are three treatments, including rotary tillage without straw return (conventional tillage, CT), subsoiling without straw return (reduced tillage, RT), and no tillage with straw return (NT). The soil pore size distribution, shape parameters, extracellular enzymes activity, and carbon mineralization were measured. The results showed that 15-year no tillage and reduced tillage increased the total porosity and proportion of larger pores, but significantly decreased the proportion of smaller pores <em>in situ</em> soil columns. Conventional tillage exhibited the most complex pores because of the highest pore fractal dimension (2.75–2.90), anisotropy (0.366–0.516), and the lowest sphericity (5.1–28.7). As for the soil columns filled with &gt; 2 mm aggregates, reduced tillage significantly increased the pore connectivity by 3.02–3.62 %, whereas no tillage had no effect. The structural equation modelling indicated that in soil columns filled with &gt; 2 mm aggregates, pore shape parameters, particularly connectivity and anisotropy, positively influenced the activities of β-glucosidase and β-xylosidase directly, and positively affected soil carbon mineralization by influencing extracellular enzymes activity indirectly. The findings emphasize the importance of pore shape parameters effect on soil carbon sequestration, and will be helpful in comprehending the microscopic mechanisms of soil carbon sequestration in &gt; 2 mm aggregates.</p></div>","PeriodicalId":49503,"journal":{"name":"Soil & Tillage Research","volume":null,"pages":null},"PeriodicalIF":6.1,"publicationDate":"2024-08-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141915062","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Tradeoffs to manage sustainable systems of grain production in tropical soils","authors":"","doi":"10.1016/j.still.2024.106251","DOIUrl":"10.1016/j.still.2024.106251","url":null,"abstract":"<div><p>Long-term sustainability of intensive cropping systems in tropical soils depends on strategies to reconcile grain output, cover crops to maximize biomass yield for soil mulching, and maintaining soil organic carbon (SOC). In this study, we evaluated spatiotemporal constraints underpinning the diversification from soybean (<em>Glycine max</em> (L.) Merr.) monoculture under conventional tillage (CT) or no-tillage (NT) and soybean in succession with maize (<em>Zea mays</em> L.) double cropping (NTS3) to the use of millet (<em>Pennisetum glaucum</em> L., NTS1) and brachiaria (<em>Brachiaria ruziziensis</em> (R.Germ. &amp; Evrard) Crins, NTS2) in successions or millet, crotalaria (<em>Crotalaria spectabilis</em> Roth.), and maize+brachiaria in rotations in a 12-year field experiment in an Oxisol. We quantified total grain output, total biomass production, and SOC contents and stocks (0–40 cm depth). Over 12 years, cumulative grain output under the double cropping (NTS3) was 135.0 Mg ha⁻¹, with soybean-maize proportions of 35–65 %. Thus, the successions NTS1 and NTS2 would reduce maize grain output relative to NTS3 (7.3 Mg ha⁻¹ year⁻¹). Under the rotations, reduction in soybean and maize grain output relative to NTS3 was about 1.4 and 4.1 Mg ha⁻¹ year⁻¹, respectively. Biomass production under NTS3 was 12.0 Mg ha⁻¹ year⁻¹ but reached 15.7 Mg ha⁻¹ year⁻¹ under the rotation including summer soybean (1st and 2nd years) and off-season crotalaria (1st year) or maize+brachiria (2nd year), and only brachiaria (3rd year). Under this rotation, changes in SOC stocks were +2.0 Mg ha⁻¹ year⁻¹ for the 0–40 cm depth layer, whereas under NTS3 it was +1.4 Mg ha⁻¹ year⁻¹, relative to the native Cerrrado. For soybean monoculture under CT or NT changes in SOC were about −0.5 Mg ha⁻¹ year⁻¹ relative to the native Cerrado. Overall, despite the reduced total grain output, the rotation system proposed may be critical to reconcile sustainable food security, soil protection by mulching and SOC maintenance in agricultural Cerrado soils.</p></div>","PeriodicalId":49503,"journal":{"name":"Soil & Tillage Research","volume":null,"pages":null},"PeriodicalIF":6.1,"publicationDate":"2024-08-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141915063","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Current limitations and future research needs for predicting soil precompression stress: A synthesis of available data","authors":"","doi":"10.1016/j.still.2024.106225","DOIUrl":"10.1016/j.still.2024.106225","url":null,"abstract":"<div><p>Precompression stress, compression index, and swelling index are used for characterizing the compressive behavior of soils, and are essential soil properties for establishing decision support tools to reduce the risk of soil compaction. Because measurements are time-consuming, soil compressive properties are often derived through pedotransfer functions. This study aimed to develop a comprehensive database of soil compressive properties with additional information on basic soil properties, site characteristics, and methodological aspects sourced from peer-reviewed literature, and to develop random forest models for predicting precompression stress using various subsets of the database. Our analysis illustrates that soil compressive properties data primarily originate from a limited number of countries. There is a predominance of precompression stress data, while little data on compression index or recompression index are available. Most precompression stress data were derived from the topsoils of conventionally tilled arable fields, which is not compatible with knowledge that subsoil compaction is a serious problem. The data compilation unveiled considerable variations in soil compression test procedures and methods for calculating precompression stress across different studies, and a concentration of data at soil moisture conditions at or above field capacity. The random forest models exhibited unsatisfactory predictive performance although they performed better than previously developed models. Models showed slight improvement in predictive power when the underlying data were restricted to a specific precompression stress calculation method. Although our database offers broader coverage of precompression stress data than previous studies, the lack of standardization in methodological procedures complicates the development of predictive models based on combined datasets. Methodological standardization and/or functions to translate results between methodologies are needed to ensure consistency and enable data comparison, to develop robust models for precompression stress predictions. Moreover, data across a wider range of soil moisture conditions are needed to characterize soil mechanical properties as a function of soil moisture, similar to soil hydraulic functions, and to develop models to predict the parameters of such soil mechanical functions.</p></div>","PeriodicalId":49503,"journal":{"name":"Soil & Tillage Research","volume":null,"pages":null},"PeriodicalIF":6.1,"publicationDate":"2024-08-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S0167198724002265/pdfft?md5=5a4fb46c4ab11fc6a329a66770e97ce9&pid=1-s2.0-S0167198724002265-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141891941","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Visible-to-near-infrared spectroscopy for prediction of soil nitrogen mineralization after sample stratification by textural homogeneity criteria","authors":"","doi":"10.1016/j.still.2024.106250","DOIUrl":"10.1016/j.still.2024.106250","url":null,"abstract":"<div><p>On-time and accurate estimation of the soil nitrogen mineralization rate (SNMR) is critical for nitrogen (N) management and protecting the environment. This study evaluated the performance of a visible-to-near-infrared reflectance (vis-NIR) spectroscopy for predicting SNMR for four texture groups. A total of 62 topsoil samples were collected from 17 management zones distributed over four fields and incubated with seven destructive sampling events. Samples were analysed for total mineral N (NH₄⁺+NO₃^–) content and scanned using a vis-NIR sensor simultaneously at each of the seven-sampling times. Four partial least squares regression models were calibrated and validated for four textural groups (groups- 1– 4) identified over the United State Department of Agriculture (USDA) texture triangle. Prediction accuracies indicated that vis-NIR sensor was moderately to highly accurate for predicting SNMR, while observing variable accuracies across texture groups. The highest accuracy was obtained for group 1 (sandy-loam; coefficient of determination, R² = 0.90; root mean square error, RMSE = 0.04 mg N kg⁻¹ soil day⁻¹), successively followed by group 2 (mostly loam; R² = 0.80, RMSE = 0.05 mg N kg⁻¹ soil day⁻¹) group 4 (mostly silt; R² = 0.66, RMSE = 0.08 mg N kg⁻¹ soil day⁻¹), and group 3 (silt-loam; R² = 0.44, RMSE = 0.08 mg N kg⁻¹ soil day⁻¹). Variable importance in projection score revealed that the key spectral bands to predict SNMR were in 2150 – 2260 nm and 2470 – 2480 nm, resembling the key bands associated with soil organic compounds and clay minerals. In-advance texture information required for soil stratification is regarded a limitation of the proposed approach. In conclusion, vis-NIR holds potential for a rapid estimation of SNMR when samples are stratified into similar texture groups in advance, however, confirmatory research will be needed to validate the current findings for soils from different origin and under different management.</p></div>","PeriodicalId":49503,"journal":{"name":"Soil & Tillage Research","volume":null,"pages":null},"PeriodicalIF":6.1,"publicationDate":"2024-08-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141891965","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Soil penetration testers – State of the art – Part 2 – The bevameter approach","authors":"","doi":"10.1016/j.still.2024.106240","DOIUrl":"10.1016/j.still.2024.106240","url":null,"abstract":"<div><p>This article presents a review of the equipment used in the process of determining the mechanical strength of soil, in particular with regards to the vertical loads applied. Here, devices incorporating the bevameter approach, i.e. medium and large-scale testers, are discussed. The bevameter technique is described in detail, along with the most common mathematical models relating to the vertical pressure applied to the soil and its compaction. The paper also highlights important phenomena for this type of experiment, such as the scale effect, wall effect, multipass effect, and slip sinkage effect. The article presents the reasons for which plate testers are currently the most commonly used tester type for soil penetration tests for the purpose of terramechanics, including the Next Generation NATO Reference Mobility Model that is currently under development. Investigations towards the influence of the penetration rate on soil penetration are also addressed. Furthermore, the authors also present a selection of their own results of currently ongoing research on the subject of potential influence of the plate grouser on plate sinkage. The results already obtained have made it possible to identify phenomena that are not taken into account in the current research methods, in turn resulting in the development of an innovative plate tester for investigating the sinkage of the running gear components of machines and vehicles in fragmented media.</p></div>","PeriodicalId":49503,"journal":{"name":"Soil & Tillage Research","volume":null,"pages":null},"PeriodicalIF":6.1,"publicationDate":"2024-08-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S0167198724002411/pdfft?md5=585fd5f78fcd730d22a4f34aa2e9927e&pid=1-s2.0-S0167198724002411-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141891940","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A novel and comprehensive soil quality index integrating soil morphological, physical, chemical, and biological properties","authors":"","doi":"10.1016/j.still.2024.106246","DOIUrl":"10.1016/j.still.2024.106246","url":null,"abstract":"<div><p>The increased focus on soil quality (SQ) aims to conserve land resources and arrest land degradation. However, there are several unknowns regarding which indicators can most effectively indicate specific SQ outcomes and ecosystem functioning. For the first time, this study aims to integrate the soil morphological properties and earthworm population with physical and chemical properties and propose a comprehensive soil quality index (SQI_w) to evaluate SQ across a land-use – soil type – climate gradient. Soil profile data (n = 47) covering semi-arid, sub-humid, and humid climates, three soil types (Inceptisols, Vertisols, and Alfisols) and three major land-use systems (grassland, plantation, and annual field crops) were used in this study. As a novel approach, we used a combination of expert opinion and principal component analysis to select 12 soil quality indicators (five morphological, two physical, three chemical, and two biological properties) and developed four thematic SQ indices, viz., morphological quality index (SQI_m), physical quality index (SQI_p), chemical quality index (SQI_c), and biological quality index (SQI_b) from the respective SQ indicators using the weighted additive index method. The thematic SQ indices were integrated to create SQI_w for surface and subsurface soils. The SQI_m showed a strong relationship with SQI_p and SQI_c and a moderate relationship with SQI_b, indicating that the thematic SQ indices can be employed to evaluate soil quality in resource-limited regions or countries. The SQI_w differentiated the effects of climate, soil type, and land use management on soil quality and showed a strong correlation with crop yield, enabling the comparison of production systems. The integration of the earthworm population to SQI_w is a crucial advancement in SQ assessment, and the SQI_m adds a new dimension. The proposed SQI_w could be a potential precursor for emerging consensus towards a generalised and comprehensive SQI, which can be effectively used for SQ monitoring across varied land use, soil types, and climate regions.</p></div>","PeriodicalId":49503,"journal":{"name":"Soil & Tillage Research","volume":null,"pages":null},"PeriodicalIF":6.1,"publicationDate":"2024-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141891942","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Evaluating the effects of different irrigation water sources on soil temperature using HYDRUS (2D/3D) and considering the coupled movement of water and heat","authors":"","doi":"10.1016/j.still.2024.106259","DOIUrl":"10.1016/j.still.2024.106259","url":null,"abstract":"<div><p>Drip irrigation with alternate use of surface water and groundwater (ADI) has been widely applied in arid regions to relieve the effects of heat stress on crop growth. However, the heat dynamics under ADI are still unclear, especially concerning the impacts of ADI on daily and seasonal fluctuations of soil temperature (<em>T</em>_s). Thus, a two-year experiment was carried out during 2019–2020 in the Jiuzhuang comprehensive saving-water experimental station to continuously monitor soil water content (SWC) and <em>T</em>_s variations. Moreover, the HYDRUS (2D/3D) software was used to simulate <em>T</em>_s fluctuations under various evaluated scenarios involving a) surface water irrigation (SW), b) groundwater water irrigation (GW), c) alternate use of groundwater and surface water irrigation (1G1S), d) two groundwater irrigations and one surface water irrigation (2G1S), and e) three groundwater irrigations and one surface water irrigation (3G1S). The result showed that the HYDRUS (2D/3D) software could precisely simulate soil water content and <em>T</em>_s dynamics under all irrigation treatments, with the root mean square error of 0.01–0.06 cm³ cm⁻³ and 1.25–1.57 °C for SWC and <em>T</em>_s in the verification period, respectively. Apparent spatial-temporal differences in diurnal <em>T</em>_s fluctuations under different ADI treatments were found, especially in the 5 cm soil depth. In general, <em>T</em>_s decreased in response to an increase in the frequency of groundwater irrigation. The lowest <em>T</em>_s occurred in the 3G1S treatment under different ADI treatments. The average <em>T</em>_s in both years under 3G1S was 12.2 % lower than under SW and 4.4 % higher than under GW. However, the highest <em>T</em>_s occurred in the 1G1S treatment under different ADI treatments. Average <em>T</em>_s in both years under 1G1S increased by 8.6 % and 15.4 % compared to 2G1S and 3G1S, respectively. Meanwhile, the difference in <em>T</em>_s fluctuations under different ADI treatments during daytime was substantially higher than during nighttime. The largest area (1271.8 cm²) of “moderate <em>T</em>_s” (20–22 ℃) occurred in the 2G1S treatment. Moreover, the longest “optimal <em>T</em>_s” duration occurred for the 22.5 mm irrigation depth under 2G1S. Therefore, the irrigation depth of 22.5 mm and the 2G1S treatment is recommended as the optimal irrigation strategy in this region.</p></div>","PeriodicalId":49503,"journal":{"name":"Soil & Tillage Research","volume":null,"pages":null},"PeriodicalIF":6.1,"publicationDate":"2024-07-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141891943","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Prescribed fire and grass mulch impact on selected soil properties and amelioration potentials of amendments under an agricultural field in Ile-Ife, Nigeria","authors":"","doi":"10.1016/j.still.2024.106249","DOIUrl":"10.1016/j.still.2024.106249","url":null,"abstract":"<div><p>Prescribed fire (slash and burn) tends to impede the sustainable functionality of soil in agricultural systems. However, the use of amendment has a potential to reverse these negative effects. Prescribed fire is still used by farmers in Nigeria for land preparation before planting. This has continued to increase soil degradation in Nigeria with no agronomic activities that could ameliorate this effect in view. This study therefore examined the influence of prescribed fire and grass mulch on selected soil physical properties and organic carbon immediately after burning, and the potential of amendment to improve the soil properties negatively affected by fire. The prescribed fire treatments consisted of 200 °C and 500 °C fire intensities using <em>Megathyrsus maximus</em> (a large perennial bunch of grass that is dominant in the study area) as the fuel and also served as the grass mulch. Cured poultry manure at 7.5 t ha⁻¹ was combined with urea at 40 kg N ha⁻¹ and applied as a combined amendment while a single dose of urea was applied at 80 kg N ha⁻¹ as an inorganic amendment. The experiment was carried out across three cropping seasons on maize (<em>Zea mays</em> L.) in 2019 and 2020. Soil water repellency (<em>SWR</em>), bulk density (D_b), soil unsaturated hydraulic conductivity (<em>K</em>_{<em>unsat</em>}), water stable aggregates (WSA), soil strength (SS), and soil organic carbon (SOC) were determined immediately after burning and three months after amendments were applied. Data obtained were subjected to analysis of variance and means separated using the Duncan multiple range test at p≤0.05. Results showed that prescribed fires increased <em>SWR</em> by an average of 50.1 and 62.7 % for 200 °C and 500 °C intensities, respectively compared with the control. Three months later, the <em>SWR</em> was reduced by 25.9 % and 62.3 % for 200 °C and 500 °C, respectively when no amendment was added. Notably, the addition of sole urea and cured poultry manure + urea reduced the <em>SWR</em> by 50 % and 48.5 %, respectively in the 200 °C intensity, and 62.2 % and 62.7 % in the 500 °C intensity, respectively. Also, <em>K</em>_{<em>unsat</em>} was reduced by an average of 49.6 and 62.2 % by 200 °C and 500 °C intensities, respectively just after burning. However, it was not improved three months after the prescribed fires despite the applied amendments. The prescribed fire of 200 °C and grass mulch had no significant influence on OC just after the fire. Also, amendments did not significantly improve OC three months after prescribed fire. Therefore, the non-improvement of other soil properties, after the applied amendments, showed that further study is required to determine the required rate of the applied amendments that will significantly improve other soil properties negatively affected by prescribed fire in agricultural soils.</p></div>","PeriodicalId":49503,"journal":{"name":"Soil & Tillage Research","volume":null,"pages":null},"PeriodicalIF":6.1,"publicationDate":"2024-07-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141891944","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}