European Journal of Soil Science最新文献

{"title":"Quantitative Microbiome Profiling Facilitates Convenient Detection of Root-Associated Fungi in an Alpine Meadow","authors":"Lijie Wang,&nbsp;Shengjing Jiang","doi":"10.1111/ejss.70068","DOIUrl":"https://doi.org/10.1111/ejss.70068","url":null,"abstract":"<div>\u0000 \u0000 <p>Next-generation sequencing is widely used for microbiome characterisation across multiple samples. However, current amplicon sequencing techniques are limited because they primarily offer microbial taxon relative abundance profiles, which do not accurately reflect the actual environmental abundances. Here, relative microbiome profiling (RMP) and quantitative microbiome profiling (QMP) were employed to analyse the root-associated fungal communities of 20 alpine meadow plant species. Noteworthy, the microbial load of root-associated fungi varied among the host plants. There were inconsistent patterns of the major fungal genera among plant species between QMP and RMP approaches, and RMP underestimated root-associated fungal community dissimilarities across different hosts. These findings led to the conclusion that QMP contributes to a better understanding of root-associated fungal dynamics and their ecological and functional processes.</p>\u0000 </div>","PeriodicalId":12043,"journal":{"name":"European Journal of Soil Science","volume":"76 2","pages":""},"PeriodicalIF":4.0,"publicationDate":"2025-02-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143497333","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":"Correction to “Optimized fertilization Mitigated Carbon and Nitrogen Losses in a Solonchak”","authors":"","doi":"10.1111/ejss.70082","DOIUrl":"https://doi.org/10.1111/ejss.70082","url":null,"abstract":"<p>Zhang, S., J. Liu, Y. Feng, X. Hao, Y. Liang, L. Xue, and X. Zhao. 2024. “Optimised Fertilization Mitigated Carbon and Nitrogen Losses in a Solonchak.” <i>European Journal of Soil Science</i> 75, no. 2: e13474. https://doi.org/10.1111/ejss.13474.</p><p>We apologise for these errors.</p>","PeriodicalId":12043,"journal":{"name":"European Journal of Soil Science","volume":"76 2","pages":""},"PeriodicalIF":4.0,"publicationDate":"2025-02-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/ejss.70082","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143481541","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"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":"The Impacts of Loading From Acid Sulfate Soils on Boreal Estuarine Sediments","authors":"Krister Dalhem,&nbsp;Karoliina Kehusmaa,&nbsp;Joonas J. Virtasalo,&nbsp;Mats Åström,&nbsp;Peter Österholm","doi":"10.1111/ejss.70075","DOIUrl":"https://doi.org/10.1111/ejss.70075","url":null,"abstract":"<p>Estuaries play a vital role in the coastal environment by filtering pollutants and nutrients from catchment runoff. In areas where acid sulfate (AS) soils are abundant, the importance of the estuary as a coastal filter is heightened as AS soils typically stress the marine environment with acidic metal-laden drainage waters. In this study, we took sediment cores from a shallow estuary in Western Finland and used geochemical and palaeoecological methods to investigate how the estuary is affected by loading from AS soils. An overall decrease in diatom species richness and diversity in the estuarine sediments was found, with a clear change from species preferring pelagic conditions to species indicative of more eutrophic conditions. The change coincides with human disturbance during the early 20th century when extensive drainage and rework of forests and peatlands into agricultural use increased. Geochemical analyses show a significant enrichment of Cd, Ni, Co, Zn and Al in the estuarine sediments which correspond to the metal loads originating from the catchment AS soils. Our calculations, however, show that in comparison to the total load of soluble metals from the catchment area, more than 80% of chalcophiles and 70% of Al are transported further out to sea. We hypothesised that a precipitation gradient driven by changes in pH and salinity due to seawater mixing would form along a transect towards the estuary outlet. Instead, we found that physical sedimentation processes are stronger drivers for element transport, as enrichment takes place only in low-energy hydrodynamic conditions at greater water depths. Glacioisostatic land uplift and significant particle transport from the catchment area are further isolating the estuary, effectively moving the saline gradient seawards and diminishing the role of the estuary as a coastal filter. We also found that the estuarine sediments are hypersulfidic and contain stores of potential acidity significantly larger than conventional AS soils. Without proper management, disturbance of the estuarine sediments can cause disastrous consequences at a local level.</p>","PeriodicalId":12043,"journal":{"name":"European Journal of Soil Science","volume":"76 2","pages":""},"PeriodicalIF":4.0,"publicationDate":"2025-02-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/ejss.70075","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143489873","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"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":"Efficiency of Plant Biomass Processing Pathways for Long-Term Soil Carbon Storage","authors":"Sonja G. Keel,&nbsp;Alice Budai,&nbsp;Lars Elsgaard,&nbsp;Brieuc Hardy,&nbsp;Florent Levavasseur,&nbsp;Liang Zhi,&nbsp;Claudio Mondini,&nbsp;César Plaza,&nbsp;Jens Leifeld","doi":"10.1111/ejss.70074","DOIUrl":"https://doi.org/10.1111/ejss.70074","url":null,"abstract":"<p>The potential for soil carbon (C) sequestration strongly depends on the availability of plant biomass inputs, making its efficient use critical for designing net zero strategies. Here, we compared different biomass processing pathways and quantified the long-term effect of the resulting exogenous organic materials (EOMs) to that of direct plant residue input on soil organic carbon (SOC) storage. We estimated C losses during feed digestion of plant material, storage of manure, composting and anaerobic digestion of plant material and manure, and pyrolysis of plant material, using values reported in the literature. We then applied an extended version of the widely used SOC model RothC with newly developed parameters to quantify the SOC storage efficiency, that is, accounting for both processing losses off-site and decomposition losses of the different EOMs in the soil. Based on simulations for a 39-year long cropland trial in Switzerland, we found that the SOC storage efficiency is higher for plant material directly added to the soil (16%) compared to digestate and manure (3% and 5%, respectively). For compost, the effect was less clear (2% ̶ 18%; mean: 10%) due to a high uncertainty in C-losses during composting. In the case of biochar, 43% of the initial plant C remained in the soil, due to its high intrinsic stability despite C-losses of 54% during pyrolysis. To provide robust recommendations for optimal biomass use, it is essential to consider additional factors such as nutrient availability of EOMs, environmental impacts of soil application, and life cycle assessments for the entire production processes.</p>","PeriodicalId":12043,"journal":{"name":"European Journal of Soil Science","volume":"76 2","pages":""},"PeriodicalIF":4.0,"publicationDate":"2025-02-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/ejss.70074","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143489874","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"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":"Modelling Soil Organic Carbon Dynamics at the Continental Extent Using Pedogenon Mapping","authors":"Quentin Styc,&nbsp;Budiman Minasny,&nbsp;Ho Jun Jang,&nbsp;Alex McBratney","doi":"10.1111/ejss.70070","DOIUrl":"https://doi.org/10.1111/ejss.70070","url":null,"abstract":"<p>Soil organic carbon (SOC) plays a critical role in key soil functions, yet SOC is highly vulnerable to human activities, which can shift soil from acting as a net carbon sink to becoming a net carbon source. Despite considerable efforts to monitor soil conditions, traditional evaluations often focus on temporal comparisons within similar locations, which can limit the understanding of broader changes. To address these challenges, this study employs the pedogenon map framework to systematically compare SOC changes in soils under natural conditions (genosoils) and those affected by human activity (phenosoils) across Australia. By analysing SOC fractions with different mean residence times – mineral-associated organic carbon (MAOC) and particulate organic carbon (POC) – the study aims to assess the durability of SOC changes over time. The methodology includes selecting soil profiles within pedogenons, evaluating SOC changes, and estimating the impact of these changes on SOC's residence time using the soil tonne-year carbon (STYC) metric. The findings reveal significant spatial variations in SOC changes and their impact on residence time. Areas where SOC increased are mainly due to genosoils with lower SOC values, while genosoils with high SOC values have significantly decreased when converted to phenosoils, reflecting potentially unsustainable agricultural practices. Similar results have been found concerning the residence time of SOC regarding the genosoils SOC values. The study demonstrates that the pedogenon map is an effective tool for detecting SOC changes due to human activities, providing a robust framework for assessing soil carbon storage and informing targeted remediation strategies.</p>","PeriodicalId":12043,"journal":{"name":"European Journal of Soil Science","volume":"76 2","pages":""},"PeriodicalIF":4.0,"publicationDate":"2025-02-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/ejss.70070","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143481291","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"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":"Biochar Addition Changes the Aggregation of Clay Mineral and Natural Soil Nanoparticles via Different Mechanisms","authors":"Qi-rui Li,&nbsp;Chen-yang Xu,&nbsp;Zeng-chao Geng,&nbsp;Fei-nan Hu,&nbsp;Chun-li Wang","doi":"10.1111/ejss.70056","DOIUrl":"https://doi.org/10.1111/ejss.70056","url":null,"abstract":"<div>\u0000 \u0000 <p>Wide application of biochar and subsequent release of biochar nanoparticles (NPs) significantly impact the stability of natural clay minerals and soil NPs, which are crucial for soil quality and play a vital role in determining the fate of nutrients and contaminants in the environment. Soil is a naturally occurring complex system composed of multiple components. Existing research on soil particle aggregation has predominantly focused on homo-aggregation. However, the addition of biochar to soil inevitably induces hetero-aggregation with soil components. In this study, the effects of biochar NPs on the aggregation of representative clay minerals (hematite and illite) and natural soil NPs from Luvisol, Phaeozem and Ferralsol under various solution chemistry were studied. The mechanisms were further elucidated by adopting the Derjaguin-Landau-Verwey-Overbeek (DLVO) theory. The results indicated that the addition of negatively charged biochar NPs significantly altered the aggregation behaviours of positively charged hematite NPs through charge neutralisation. The aggregation of negatively charged illite particles was inhibited by the generating H-bonding and steric repulsion. Biochar NPs significantly increased the colloidal stability of Luvisol (from 343.82 to 382.96 mM) and Ferralsol NPs (from 28.39 to 215.35 mM) by increasing the net DLVO repulsive forces. Nevertheless, the stability of Phaeozem NPs, containing higher organic matter, decreased with increasing biochar NP concentrations due to electrostatic shielding. In conclusion, for complicated natural soil systems with significant differences between organic and inorganic components, the application of biochar NPs has a profound impact on colloidal particle interactions, particularly affecting positively-charged mineral colloids and soils with low soil organic matter content.</p>\u0000 </div>","PeriodicalId":12043,"journal":{"name":"European Journal of Soil Science","volume":"76 2","pages":""},"PeriodicalIF":4.0,"publicationDate":"2025-02-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143481534","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":"The Effect of Crop Diversification and Season on Microbial Carbon Use Efficiency Across a European Pedoclimatic Gradient","authors":"Julia Schroeder,&nbsp;Alexander König,&nbsp;Christopher Poeplau,&nbsp;Tobias Bölscher,&nbsp;Katharina H. E. Meurer,&nbsp;Monika Toleikienė,&nbsp;Marjoleine Hanegraaf,&nbsp;Annelein Meisner,&nbsp;Josef Hakl,&nbsp;Katharina M. Keiblinger,&nbsp;Abad Chabbi,&nbsp;Marjetka Suhadolc,&nbsp;Anton Govednik,&nbsp;Erich Inselsbacher,&nbsp;Heike Knicker,&nbsp;Laura Gismero Rodríguez,&nbsp;Anke M. Herrmann","doi":"10.1111/ejss.70078","DOIUrl":"https://doi.org/10.1111/ejss.70078","url":null,"abstract":"<p>Microbial transformation of soil organic matter plays a critical role in carbon (C) cycling making it essential to understand how land use and management practices influence microbial physiology and its connection to C dynamics. One factor that is likely to impact soil microbial physiology is crop diversification via its influence on belowground diversity (e.g., chemical heterogeneity of C inputs, microbial community composition). However, the effect of crop diversification measures on microbial physiology and potential effects on C cycling in agricultural soils is still unclear. To address this knowledge gap, we sampled topsoil from eight experimental sites covering different crop diversification measures across Europe (i.e., cover crops, ley farming, vegetation stripes). We used the ¹⁸O-labelling method to analyse microbial C use efficiency (CUE), growth, respiration and biomass C. Additionally, a second sampling at five selected sites examined whether the growing season influenced the impact of crop diversification. Meta-analysis revealed no overall effect of crop diversification on CUE, microbial activity, biomass or soil organic C (SOC). However, the effects varied with the type of diversification measure: cover crops did not affect carbon processing, vegetation stripes increased microbial activity, and ley farming enhanced CUE. The largest variation in CUE was observed between samplings at the same sites, indicating seasonal dynamics. Temperature, precipitation and photosynthetically active radiation predicted seasonal variation in CUE (<i>R</i>² = 0.36). While cover crops did not significantly impact C storage in our study, both ley farming and vegetation stripes increased SOC. The overall effect of crop diversification on SOC seems to be decoupled from highly temporally variable CUE in the bulk soil and rather relate to C-inputs.</p>","PeriodicalId":12043,"journal":{"name":"European Journal of Soil Science","volume":"76 2","pages":""},"PeriodicalIF":4.0,"publicationDate":"2025-02-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/ejss.70078","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143481292","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"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":"Soil Water Repellency in Natural and Semi-Natural Habitats: A Nexus Between Abiotic Factors and Prokaryotic Communities","authors":"Anne-Cathrine Storgaard Danielsen,&nbsp;Cecilie Hermansen,&nbsp;Peter Lystbæk Weber,&nbsp;Deividas Mikstas,&nbsp;Charles Pesch,&nbsp;Lucas de Carvalho Gomes,&nbsp;Sebastian Gutierrez,&nbsp;Per Halkjær Nielsen,&nbsp;Mogens Humlekrog Greve,&nbsp;Per Møldrup,&nbsp;Signe Normand,&nbsp;Lis Wollesen de Jonge","doi":"10.1111/ejss.70063","DOIUrl":"https://doi.org/10.1111/ejss.70063","url":null,"abstract":"<p>Soil water repellency (SWR) significantly impacts water infiltration and soil health, influencing ecological processes across various habitats. Although the mechanisms behind SWR remain partially unclear, it is influenced by both soil and biological properties. While several studies have examined SWR in agricultural soils, fewer studies have focused on natural habitats. This study examines the relationships between soil properties (electrical conductivity (EC), pH, and total carbon (TC)), prokaryotic communities, and potential SWR (measured by the molarity of ethanol droplet test, 60°C pretreatment) in 1153 soil samples spanning 33 habitat types across Denmark. Using path model analysis, we show that both biotic and abiotic factors contribute significantly to SWR. A model including pH, EC, TC, and prokaryotic community composition (β-diversity) could explain ~50% of the variation in SWR, with β-diversity and TC being the most important properties. Furthermore, we reveal distinct variations in SWR across habitat types, which cover a wide range of SWR, from not water repellent to strongly water repellent. Prokaryotic α-diversity was negatively correlated to the degree of SWR, and we found a clear gradient in β-diversity from the highest to the lowest degree of SWR. The degree of SWR was divided into five classes, and we identified 69 genera indicating one or a combination of the SWR classes, which could potentially be used as indicators of the degree of SWR. This research underscores the importance of including the microbial communities in studies examining SWR. In perspective, the observed relations between SWR and soil prokaryotic diversity and community composition also imply that SWR could become a key biophysical indicator of soil health.</p>","PeriodicalId":12043,"journal":{"name":"European Journal of Soil Science","volume":"76 2","pages":""},"PeriodicalIF":4.0,"publicationDate":"2025-02-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/ejss.70063","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143481290","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"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":"Towards Explainable AI: Interpreting Soil Organic Carbon Prediction Models Using a Learning-Based Explanation Method","authors":"Nafiseh Kakhani,&nbsp;Ruhollah Taghizadeh-Mehrjardi,&nbsp;Davoud Omarzadeh,&nbsp;Masahiro Ryo,&nbsp;Uta Heiden,&nbsp;Thomas Scholten","doi":"10.1111/ejss.70071","DOIUrl":"https://doi.org/10.1111/ejss.70071","url":null,"abstract":"<p>An understanding of the key factors and processes influencing the variability of soil organic carbon (SOC) is essential for the development of effective policies aimed at enhancing carbon storage in soils to mitigate climate change. In recent years, complex computational approaches from the field of machine learning (ML) have been developed for modelling and mapping SOC in various ecosystems and over large areas. However, in order to understand the processes that account for SOC variability from ML models and to serve as a basis for new scientific discoveries, the predictions made by these data-driven models must be accurately explained and interpreted. In this research, we introduce a novel explanation approach applicable to any ML model and investigate the significance of environmental features to explain SOC variability across Germany. The methodology employed in this study involves training multiple ML models using SOC content measurements from the LUCAS dataset and incorporating environmental features derived from Google Earth Engine (GEE) as explanatory variables. Thereafter, an explanation model is applied to elucidate what the ML models have learned about the relationship between environmental features and SOC content in a supervised manner. In our approach, a post hoc model is trained to estimate the contribution of specific inputs to the outputs of the trained ML models. The results of this study indicate that different classes of ML models rely on interpretable but distinct environmental features to explain SOC variability. Decision tree-based models, such as random forest (RF) and gradient boosting, highlight the importance of topographic features. Conversely, soil chemical information, particularly pH, is crucial for the performance of neural networks and linear regression models. Therefore, interpreting data-driven studies requires a carefully structured approach, guided by expert knowledge and a deep understanding of the models being analysed.</p>","PeriodicalId":12043,"journal":{"name":"European Journal of Soil Science","volume":"76 2","pages":""},"PeriodicalIF":4.0,"publicationDate":"2025-02-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/ejss.70071","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143481293","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"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":"Optimising Root and Grain Yield Through Variety Selection in Winter Wheat Across a European Climate Gradient","authors":"H. Heinemann,&nbsp;F. Durand-Maniclas,&nbsp;F. Seidel,&nbsp;F. Ciulla,&nbsp;T. G. Bárcena,&nbsp;M. Camenzind,&nbsp;S. Corrado,&nbsp;Z. Csűrös,&nbsp;Zs. Czakó,&nbsp;D. Eylenbosch,&nbsp;A. Ficke,&nbsp;C. Flamm,&nbsp;J. M. Herrera,&nbsp;V. Horáková,&nbsp;A. Hund,&nbsp;F. Lüddeke,&nbsp;F. Platz,&nbsp;B. Poós,&nbsp;D. Rasse,&nbsp;M. da Silva-Lopes,&nbsp;M. Toleikiene,&nbsp;A. Veršulienė,&nbsp;M. Visse-Mansiaux,&nbsp;K. Yu,&nbsp;J. Hirte,&nbsp;A. Don","doi":"10.1111/ejss.70077","DOIUrl":"https://doi.org/10.1111/ejss.70077","url":null,"abstract":"<p>Ensuring food security through sustainable practices while reducing greenhouse gas emissions are key challenges in modern agriculture. Utilising genetic variability within a crop species to identify varieties with higher root biomass carbon (C) could help address these challenges. It is thus crucial to quantify and understand intra-specific above- and belowground performance under varying environmental conditions. The study objectives were to: (a) quantify root biomass and depth distribution in different winter wheat varieties under various pedoclimatic conditions, (b) investigate the influence of variety and pedoclimatic conditions on the relationship between above- and belowground biomass production, and (c) assess whether optimised winter wheat variety selection can lead to both greater root biomass C and yield, boosting C accrual. Root biomass, root distribution to 1 m soil depth and root-to-shoot ratios were assessed in 10 different winter wheat varieties grown at 11 experimental sites covering a European climatic gradient from Spain to Norway. Median root biomass down to 1 m depth was 1.4 ± 0.7 Mg ha⁻¹. The primary explanatory factor was site, accounting for 60% of the variation in root biomass production, while the genetic diversity between wheat varieties explained 9.5%. Precipitation had a significantly negative effect on total root biomass, especially in subsoil. Significant differences were also observed between varieties in root-to-shoot ratios and grain yield. The difference between the variety with the lowest root biomass and the one with the highest across sites was on average 0.9 Mg ha⁻¹ which is an increase of 45%. Pedoclimatic conditions had a greater influence than variety, and determined the relationship's direction between root biomass and grain yield. A site-specific approach is, therefore, needed to realise the full potential for increased root biomass and yield offered by optimised variety selection.</p>","PeriodicalId":12043,"journal":{"name":"European Journal of Soil Science","volume":"76 2","pages":""},"PeriodicalIF":4.0,"publicationDate":"2025-02-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/ejss.70077","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143481502","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}