Geoderma Regional最新文献

{"title":"Long-term partial substitution of chemical fertilizers regulates soil quality and productivity of semi-arid Inceptisols under a pearl millet–wheat system","authors":"Manu Rani , V. Goyal , Pradip Dey , Mamta Phogat , Manoj Kumar , S.R. Singh , I.C. Haokip","doi":"10.1016/j.geodrs.2026.e01052","DOIUrl":"10.1016/j.geodrs.2026.e01052","url":null,"abstract":"<div><div>The long-term effect of partially substituting chemical fertilizers by organic inputs on soil quality and yield of pearl-millet and wheat under semi-arid region of Indo-Gangetic plains of India is unclear. This decadal field experiment (2009–2019) evaluated the impact of partial substitution of chemical fertilizers through organic inputs on soil carbon, microbial dynamics, soil quality and yield of pearl millet-wheat system. The experiment was laid out under randomized block design (RBD) with seven treatments and three replications in ten consecutive cropping cycles from 2009 to 2019. The seven treatments were: Ck- no chemical fertilizer, FYM-farm yard manure @15 Mg ha<sup>−1</sup>, RDF- recommended dose of N and P, STCR-I- chemical fertilizer for achieving 3.0 and 5.5 Mg ha<sup>−1</sup> targeted yield of pearl millet and wheat, respectively, STCR-II- chemical fertilizer for achieving 3.5 and 6.0 Mg ha<sup>−1</sup> targeted yield of pearl millet and wheat, respectively, IPNS-I- FYM + chemical fertilizer for achieving 3.0 and 5.5 Mg ha<sup>−1</sup> targeted yield of pearl millet and wheat, respectively and IPNS-II-FYM + chemical fertilizer for achieving 3.5 and 6.0 Mg ha<sup>−1</sup> targeted yield of pearl millet and wheat, respectively. Treatment IPNS-I and IPNS-II improved nutrient supply system, and yields of pearl millet and wheat by lowering soil pH (7.78 and 7.79), soil bulk density (1.38 Mg m<sup>3</sup>) and enhancing soil organic carbon (0.83 and 0.85%), C-stock (17.1 and 17.6 Mg C ha<sup>−1</sup>) and its buildup rate (1.71 to 1.76 Mg C ha<sup>−1</sup> yr<sup>−1</sup>). Treatments FYM, IPNS-I and IPNS-II significantly (<em>P</em> < 0.05) enhanced microbial biomass carbon, potential activities of soil enzymes, soil nutrients and soil quality over the STCR-II, STCR-I, RDF and Ck, however, microbial (M<sub>q</sub>) and metabolic quotient exhibited reverse trends. The highest SQI (0.795) was recorded with IPNS-I followed by IPNS-II (0.791), T<sub>2</sub> (0.771) and the lowest in Ck (0.341). Available P, acid phosphatase, available N and Mq were the key soil quality indicators in MDS for the pearl millet-wheat production in semi-arid zone, contributing 20.4, 21.0, 19.6 and 7.96% toward soil quality development, respectively. Treatment IPNS-I and IPNS-II not only achieved the targeted yield of pearl millet and wheat within ±10% yield deviation, but also increased pearl millet yields by 7.83 and 25.6%, and wheat yield by 10.4 and 23.9% over RDF, respectively due to improving SQI. As a result, SQI had significant correlation with grain and stover/straw yield of pearl millet and wheat indicated prominent influence of partial substitution of organic manure to inorganic fertilizers. Thus, our results evinced that long-term partial substitution of inorganic fertilizer based on targeted yield approach of soil test crop response (STCR) provides better environment for pearl millet-wheat productivity in semi-arid Inceptisol of India.</div","PeriodicalId":56001,"journal":{"name":"Geoderma Regional","volume":"44 ","pages":"Article e01052"},"PeriodicalIF":3.3,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146077955","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Spatial variability and environmental drivers of the soil erodibility factor (K) at a regional scale in the Italian Alps","authors":"Valeria Cesarini ,&nbsp;Sara Agaba ,&nbsp;Michele Eugenio D'Amico ,&nbsp;Emanuele Pintaldi ,&nbsp;Michele Freppaz ,&nbsp;Silvia Stanchi","doi":"10.1016/j.geodrs.2026.e01061","DOIUrl":"10.1016/j.geodrs.2026.e01061","url":null,"abstract":"<div><div>Understanding and predicting soil erodibility in mountain environments is challenging due to complex interactions among environmental, pedological, and biological processes, which contribute to high spatial variability. This is particularly evident in the Aosta Valley Region (NW Italian Alps), where previous studies reported pronounced soil heterogeneity. Building on these findings, we estimated the topsoil erodibility factor (K factor of the USLE), assuming that, given the uniform texture, soil organic matter (SOM) would be the main driver of K variation. K was calculated using two equations—USLE and EPIC. We also tested, in a demonstrative way, SOM values beyond the conventional threshold of the USLE nomograph to explore its influence on K in highly organic alpine soils. A digital soil mapping (DSM) approach with machine learning was used to model the spatial distribution of K. Pedological field data were analyzed to evaluate their relationship with K, and USLE-based erosion values were calculated for observed profiles to assess K estimate reliability. Results show that: (i) the USLE K equation better captures mountain complexity; (ii) SOM significantly reduces K, with stone cover exerting additional influence; (iii) the model identified key regional drivers of K (carbon stock, elevation, pH), producing consistent spatial maps at 40 m resolution; and (iv) K values vary across soil horizons, humus systems, land uses, and soil types. Complementary analysis of erosional denudation supports the central role of SOM in enhancing alpine soil resistance. These findings provide insights for future soil monitoring, conservation, and restoration strategies in mountain ecosystems.</div></div>","PeriodicalId":56001,"journal":{"name":"Geoderma Regional","volume":"44 ","pages":"Article e01061"},"PeriodicalIF":3.3,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147394355","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Rapid prediction of soil hydraulic and physicochemical properties using the Nix Pro color sensor","authors":"Fatemeh Cheshmberah ,&nbsp;Ali.A. Zolfaghari ,&nbsp;Ruhollah Taghizadeh-Mehrjardi ,&nbsp;Ronny Berndtsson","doi":"10.1016/j.geodrs.2026.e01064","DOIUrl":"10.1016/j.geodrs.2026.e01064","url":null,"abstract":"<div><div>Color is the most obvious and easily determined soil property that can provide crucial information about soil composition. The NIX™ Pro color sensor (Nix) presents a user-friendly alternative to the traditional Munsell manual method, with reduced sensitivity to environmental and human factors. Therefore, a new method was developed to use Nix in combination with machine learning to quickly and affordably estimate improved physical, hydraulic, and chemical soil properties. This study extends the application of the Nix sensor from chemical properties to include soil hydraulic properties, providing a rapid, reproducible, and practical prediction tool. The Nix and the Random Forest (RF) algorithm were employed to analyze the spectra of 150 soil samples collected from 0 to 30 cm depth in semi-arid regions of Iran. The results indicated that using the RF algorithm with CIE L*a*b* Color System data from the Nix, the best predictive performance was observed for CaCO₃ (R² = 0.62, RMSE = 2.25) and field capacity (FC) (R² = 0.50, RMSE = 4.99). Predictions for clay (R² = 0.59, RMSE = 7.26), permanent wilting point (PWP) (R² = 0.62, RMSE = 2.04), and sand (R² = 0.49, RMSE = 10.08) also showed good agreement with measured values. Bulk density (BD) (R² = 0.45, RMSE = 0.11) and soil available water (SAW) (R² = 0.51, RMSE = 4.97) predictions exhibited higher errors relative to the observed ranges. The findings indicate that the Nix sensor's portability and cost-effectiveness, along with the RF algorithm, make it a practical tool for field applications. It provides quick, reliable, and improved estimates of CaCO₃ and FC, with good performance also observed for clay, PWP, and sand. The results reflect the method's efficacy, its possible adaptation to other areas with proper adjustment, and its integration into precision agriculture and environmental applications.</div></div>","PeriodicalId":56001,"journal":{"name":"Geoderma Regional","volume":"44 ","pages":"Article e01064"},"PeriodicalIF":3.3,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147394364","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Do South African restoration projects overpromise on carbon sequestration potential?","authors":"Jessica Prevôst ,&nbsp;Heidi-J Hawkins ,&nbsp;Michael Denis Cramer","doi":"10.1016/j.geodrs.2026.e01060","DOIUrl":"10.1016/j.geodrs.2026.e01060","url":null,"abstract":"<div><div>Modelled effects of human land use indicate that South Africa has the highest predicted loss of soil organic carbon (SOC) globally. This requires an urgent need to better understand actual losses across different land uses, drivers of loss, and the potential that restoration holds for SOC storage. We extend previous mapping of SOC in South Africa by addressing these knowledge gaps and hypothesise that SOC losses and potential gains depend on prior land use and on the local climatic, edaphic, and vegetation context. We modelled SOC stocks (SOCs) as a function of environmental predictors using both linear mixed models and boosted regression trees, based on 6063 SOC samples collected over four decades across South Africa. We found that South Africa has lost between 9.3% and 14.9% of its total 0–30 cm surface SOCs due to land-use change, which is greater than the global average loss of 3.6% across the same soil depth. SOCs differed markedly among land uses: croplands, abandoned land, and barren land had 11%, 10%, and 43% lower SOCs than untransformed native vegetation (grasslands, savannas, and shrublands). Exotic tree plantations had approximately 8% higher SOCs than untransformed vegetation, but this may reflect pre-existing environmental conditions rather than causal effects. The dominant climatic, edaphic, and vegetation predictors of SOCs varied by land-use type, and this knowledge could assist in management decisions, e.g., active restoration via planting and irrigation in abandoned and barren lands. The greatest potential for SOC recovery through restoration was identified in mesic north-eastern regions, while arid zones had little recovery potential. Even complete restoration of all transformed land would yield a total SOC sequestration potential that is small in the global context, indicating limited mitigation potential at the national scale despite substantial co-benefits for biodiversity and soil health. Thus, protecting existing untransformed land through conservation and sustainable management remains essential, as regaining lost SOC is slow, costly, and uncertain.</div></div>","PeriodicalId":56001,"journal":{"name":"Geoderma Regional","volume":"44 ","pages":"Article e01060"},"PeriodicalIF":3.3,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147395440","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Surface soil physical property fingerprint of piping influenced gully erosion","authors":"Nikola Živanović ,&nbsp;Vukašin Rončević ,&nbsp;Seyed Hamidreza Sadeghi ,&nbsp;Vladimir Čebašek ,&nbsp;Veljko Rupar ,&nbsp;Siniša Polovina ,&nbsp;Stevan Ćorluka","doi":"10.1016/j.geodrs.2026.e01062","DOIUrl":"10.1016/j.geodrs.2026.e01062","url":null,"abstract":"<div><div>Understanding how soil physical properties differ between eroded and adjacent non-eroded microsites is essential for diagnosing early-stage rill–gully development and shallow piping in forested landscapes, yet paired microsite evidence remains limited. We quantified soil physical contrasts between gully/rill beds microsites (eroded) and adjacent banks (visually stable) across 13 cross-sections in a forested watershed in Serbia, while minimizing background variability in site conditions. We hypothesized that gully-bed soils differ from banks and that these contrasts are depth-dependent. Samples from two depth intervals (5–10 and 20–25 cm) were analyzed for soil moisture, density-based indices (bulk and dry bulk density, porosity, void ratio), particle-size distribution, Atterberg limits, and the clay activity index (AI). Microsite differences were strongest in the surface layer: gully-bed soils were wetter and showed lower clay, higher sand, higher AI, and higher liquid limit (wL) than banks. At 20–25 cm, microsite contrasts were weaker overall, but clay and sand contents remained significantly different, whereas silt content and particle density showed no meaningful variation across microsites or depths. Two-way ANOVA indicated that depth dominated density-derived indices and significantly affected moisture, clay, and plastic limit (wP), while sampling position significantly affected moisture, clay, AI, and wP; the depth × position interaction was significant only for moisture. An exploratory PCA-based composite score (<em>E</em>-PCS) summarized coordinated texture–consistency/activity shifts and separated gully-bed from bank samples across both depths. Overall, even incipient piping-related incision produced measurable, depth-dependent microsite contrasts, supporting shallow-horizon prioritization and depth stratification in monitoring designs for similar forested watersheds.</div></div>","PeriodicalId":56001,"journal":{"name":"Geoderma Regional","volume":"44 ","pages":"Article e01062"},"PeriodicalIF":3.3,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147395441","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Combining proximal and remote sensors for regional soil characterization in rural Haiti","authors":"Anshuman Nayak ,&nbsp;Reginald Cean ,&nbsp;Somsubhra Chakraborty ,&nbsp;Noura Bakr ,&nbsp;Asim Biswas ,&nbsp;Bin Li ,&nbsp;D.K. Swain ,&nbsp;David C. Weindorf","doi":"10.1016/j.geodrs.2025.e01030","DOIUrl":"10.1016/j.geodrs.2025.e01030","url":null,"abstract":"<div><div>Agronomic optimization is critical in developing countries, especially where soil resources are constrained. This research, the first of its kind in Haiti, used predictive modeling to relate laboratory-derived physical and chemical soil data to proximal and remotely sensed data collected on 32,949 georeferenced surface soil (0–20 cm) samples in the Arcahaie region. A representative subset of collected samples (<em>n</em> = 300) was then tested using a litany of predictive models (e.g., random forest, gradient boosting, stacking ensemble, XGBoost) relating the lab-derived to proximally sensed data for the prediction of soil pH, sand, silt, clay, soil organic matter, cation exchange capacity, soil organic carbon, and plant available P, K, Si, Fe, and Cu. Results showed that sand, silt, clay, soil organic carbon, soil organic matter and cation exchange capacity all have predictive R² of ≥0.80; predictions of soil texture components and soil organic carbon/organic matter were particularly strong. Other parameters, while still significant, were less robust. The models were used to predict the physical and chemical properties of the full dataset, then spatially interpolated to provide parameter variability maps across the region in support of agronomic optimization. Future research should work to extend the methodology successfully demonstrated herein to other regions of agronomic importance in Haiti and other developing countries. Furthermore, the approaches could be extended to three-dimensional modeling of subsoil properties elucidating optimal soil fertility in the rooting zone.</div></div>","PeriodicalId":56001,"journal":{"name":"Geoderma Regional","volume":"44 ","pages":"Article e01030"},"PeriodicalIF":3.3,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145625423","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"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 security assessment based on ethnopedological studies","authors":"Georgina Pérez-Rodríguez ,&nbsp;Carlos Alberto Ortiz-Solorio ,&nbsp;Ma. del Carmen Gutiérrez-Castorena ,&nbsp;Atenógenes Leobardo Licona-Vargas ,&nbsp;Javier Leonardo Toxqui-Roldan ,&nbsp;Víctor Manuel Ordaz-Chaparro","doi":"10.1016/j.geodrs.2025.e01035","DOIUrl":"10.1016/j.geodrs.2025.e01035","url":null,"abstract":"<div><div>Soil security assessment has been carried out on a regional or global scale using five dimensions that are difficult to assess due to lack of data, especially for connectivity. In contrast, ethnopedological studies are based on local knowledge of the soil and the value they place on their land, but their application is at the local level. The integration of these methodologies can overcome current limitations in data collection and in bridging scales and promote a more holistic approach to soil security assessment.</div><div>The objective of this research is to evaluate the soil security using an ethnopedological approach in a region of state-level agricultural significance in Mexico. The study employs an ethnopedological approach, encompassing five primary dimensions and proposing 17 sub-dimensions. The findings suggest that farmers contributed 60 % of the data, with the remaining 40 % comprising a blend of technical information and local soil knowledge, signifying a process of knowledge integration. The utilization of local soil knowledge facilitates not only the assessment of connectivity but also the determination of parameters for evaluating capacity, condition, capital, and codification. Furthermore, this approach yielded detailed maps for each of the dimensions, sub-dimensions, and levels of soil security for the five soil classes. The information can be beneficial for assessing soil security at the local level within the framework of small-scale farming, especially in countries with traditional knowledge and land management practices. In addition, it has the potential to play a key role in the formulation of public policy, particularly at the municipal level. This is due to its ability to enhance comprehension of the socio-cultural, and environmental dynamics of local areas.</div></div>","PeriodicalId":56001,"journal":{"name":"Geoderma Regional","volume":"44 ","pages":"Article e01035"},"PeriodicalIF":3.3,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145737978","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Historical manure application affects accumulation pattern of residue-derived carbon via promoting macro-aggregation in Andosols, Japan","authors":"Hideaki Yasuno,&nbsp;Han Lyu,&nbsp;Haruo Tanaka,&nbsp;Soh Sugihara","doi":"10.1016/j.geodrs.2025.e01037","DOIUrl":"10.1016/j.geodrs.2025.e01037","url":null,"abstract":"<div><div>Managing post-harvest crop residues is key to maintaining soil organic carbon (SOC) for achieving sustainable agriculture and mitigating climate change. However, how historical land management and residue quality affect residue-derived carbon (C) accumulation and pattern through aggregate formation and stabilization remains unclear, especially in Andosols. We conducted a 450-day <em>in-situ</em> incubation experiment using ¹³C-labeled maize residues (leaf: C/<em>N</em> = 15; root: C/<em>N</em> = 30) at historical managed cropland (Andosols) in Tokyo, Japan, under three land managements—manure (M), chemical fertilizer (Cf), and no fertilizer (Nf). Soil samples collected at 20, 60, 120, and 450 days were fractionated into macroaggregates (&gt;250 μm), microaggregates (53–250 μm), and the silt+clay fraction (&lt;53 μm) and analyzed. After 450 days, the remaining proportions of residue-derived C were 23 % (leaf) and 29 % (root), with no significant differences among land managements. However, decomposition rates at 450 days estimated by two-pool first-order model were significantly lower in M (0.37 mg C kg⁻¹ day⁻¹) than in Cf (0.60), indicating that manure application affected the accumulation pattern of residue-derived C. Because the macroaggregate mass proportion was higher in M (82 %) than in Cf (70 %), historical manure application should promote the macroaggregate formation and enhance the physical protection of residue-derived C, resulting in higher residue-derived C in macroaggregates at 450 days in M (0.38 g C kg⁻¹) than in Cf (0.29). Overall, historical manure application caused the different accumulation pattern of residue-derived C especially at later period via macro-aggregation in Andosols, Japan.</div></div>","PeriodicalId":56001,"journal":{"name":"Geoderma Regional","volume":"44 ","pages":"Article e01037"},"PeriodicalIF":3.3,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145685391","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"An alternative to mitigate soil compaction and improve crop yield under no-till systems","authors":"Camila Jorge Bernabé Ferreira ,&nbsp;Vívian Ribeiro de Oliveira Preto ,&nbsp;Cassio Antonio Tormena ,&nbsp;Marcio Renato Nunes ,&nbsp;Guilherme Braga Pereira Braz ,&nbsp;Eduardo da Costa Severiano ,&nbsp;Alvaro Sanz Saez de Jauregui","doi":"10.1016/j.geodrs.2026.e01051","DOIUrl":"10.1016/j.geodrs.2026.e01051","url":null,"abstract":"<div><div>Soil compaction has caused significant crop yield losses owing to deleterious changes in the soil physical quality in the root zone. Our objective was to evaluate the use of seed drills equipped with fixed shanks operating at two depths under different levels of soil compaction as an alternative to mitigate soil compaction and improve crop yield in no-till (NT) conditions. The study was conducted in Paraná, southern Brazil, on a Rhodic Ferralsol under 20 years of NT management. The treatments included <em>(i)</em> four levels of induced soil compaction (0, 3, 6, and 9 tractor passes) and <em>(ii)</em> two operating depths of the seed drill shank (shallow = 10 cm and deep = 15 cm) as a strategy to mitigate soil compaction. The treatment effects on soil physical quality were quantified through soil air permeability, bulk density, water and air storage capacity, and penetration resistance, measured within 0–10 cm and 10–20 cm soil depths. Plant responses to the treatments were quantified by measuring the stem diameter, shoot dry mass, leaf area, plant height, and light interception. We measured the number of pods per plant at harvest, root diameter and length, and the grain yield. Soil compaction caused by tractor traffic increases water retention and decreases air storage capacity in the soil. The deep-acting shank significantly improved soil physical conditions for root growth and development compared with the shallow shank (10 cm), reducing soil bulk density by approximately 20% and penetration resistance by nearly 50%. Improved soil physical conditions within deeper soil layers promoted greater root length in the first 20 cm of soil profile, ensuring greater crop resistance to extreme weather. Overall, using seed drills equipped with deep-acting shanks is an efficient alternative for mitigating topsoil compaction (up to 15 cm) and promoting plant development in NT systems.</div></div>","PeriodicalId":56001,"journal":{"name":"Geoderma Regional","volume":"44 ","pages":"Article e01051"},"PeriodicalIF":3.3,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146077956","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Readily available water supply across soil variability in a center-pivot irrigated soybean field using the least limiting water range approach","authors":"Igor Alexandre de Souza ,&nbsp;Dorotéo de Abreu ,&nbsp;Alceu Linares Pádua Junior ,&nbsp;Sérgio Henrique Godinho Silva ,&nbsp;Bruno Montoani Silva","doi":"10.1016/j.geodrs.2025.e01040","DOIUrl":"10.1016/j.geodrs.2025.e01040","url":null,"abstract":"<div><div>Intensified agricultural production frequently has a negative impact on soil physical-hydric properties, contributing significantly to soil degradation in the Brazilian Cerrado. The objective of this study was to assess the soil physical-hydric environment within a consolidated no-tillage system with at least 21 years of implementation. Three soil profiles were studied in representative locations of the 110 ha, with disturbed and undisturbed soil samples taken to represent the A, BA, and Bw1 horizons. The morphological description of the soil profiles was first performed, followed by analyses of soil granulometry, bulk density, soil particle density, and least limiting water range (LLWR) models for the entire area and profile of each horizon. The soils of the three profiles were classified as Dystrophic Yellow Latosol and had a sandy clay loam texture. The soil particle density ranged from 2.52 to 2.61 Mg m⁻³, and the bulk density average was 1.04 Mg m⁻³. The LLWR for the entire area showed field capacity and wilting point values of 0.26 and 0.22 m³ m⁻³, respectively, which were indicators of soil degradation in the A horizon. According to LLWR models, soil bulk density levels above 1.24 Mg m⁻³ impose physical constraints on plant development, with values above 1.31 Mg m⁻³ indicating more severe limitations. These findings highlight the effectiveness of LLWR in monitoring soil physical and water quality, and the penetration resistance becomes the main factor regardless of water content and aeration porosity.</div></div>","PeriodicalId":56001,"journal":{"name":"Geoderma Regional","volume":"44 ","pages":"Article e01040"},"PeriodicalIF":3.3,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145925802","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}