Soil carbon (C) is important to support sustainable agriculture, affect global C cycling, and influence the climate system. Manure fertilization is an important and widely used practice to increase agricultural productivity and soil organic carbon (SOC) pools, whereas its effect on soil inorganic carbon (SIC) and total C in deep soils is not reported. This knowledge gap restricts our ability to accurately evaluate C budget in agricultural soils because SIC in deep soils accounts for more than half of the global soil C pools, while current earth system models rarely take them into account. Herein, we examined changes of soil C along 0- to 3.0-m depth after 35 years of application of manure in a dryland agricultural ecosystem. We also measured C concentrations in soil samples (0–0.2 m) from 1985 to 2019 to evaluate C dynamics in topsoils. The objective was to understand how SIC and SOC in deep soils respond to manure fertilization in semiarid ecosystem, where SIC accounts for a large fraction of total C. We showed a divergent effect of 35 years of manure application on SOC and SIC in 0–3.0 m soil from a dryland agricultural ecosystem. Either within or across the two cropping systems examined, manure increased SOC in top 0.8 m layer but decreased SIC in 0.8–3.0 m layer, which offset SOC increase and resulted in 63.8 Mg ha−1 decrease of total C in 0–3.0 m soil layer. Given the importance of soil C for sustainable agriculture and that drylands contain 80% of the global SIC and ∼50% of world cropland, immediate attention should be paid to such divergent effects in both mechanisms understanding and model prediction.
土壤碳(C)对于支持可持续农业、影响全球碳循环和气候系统都非常重要。施肥是提高农业生产率和增加土壤有机碳(SOC)库的一种重要且广泛使用的方法,但其对深层土壤中土壤无机碳(SIC)和总碳的影响却未见报道。这一知识空白限制了我们准确评估农业土壤碳预算的能力,因为深层土壤中的 SIC 占全球土壤碳库的一半以上,而目前的地球系统模型很少将其考虑在内。在此,我们研究了旱地农业生态系统施用粪肥 35 年后,0 至 3.0 米深度土壤中 C 的变化。我们还测量了 1985 年至 2019 年土壤样本(0-0.2 米)中的碳浓度,以评估表层土壤中的碳动态。我们的目标是了解在半干旱生态系统中,深层土壤中的 SIC 和 SOC 如何对肥料施用做出反应,因为 SIC 占总 C 的很大一部分。无论是在所研究的两种耕作制度内还是在两种耕作制度之间,粪肥都增加了 0.8 米土层顶部的 SOC,但降低了 0.8-3.0 米土层的 SIC,从而抵消了 SOC 的增加,导致 0-3.0 米土层的总碳量减少了 63.8 兆克/公顷。鉴于土壤碳对可持续农业的重要性,以及旱地包含全球 80% 的 SIC 和全球 50% 的耕地,在机制理解和模型预测方面应立即关注这种差异效应。
{"title":"Manure fertilizer divergently affects organic and inorganic carbon in a dryland agricultural soil","authors":"Fuyuan Su, Weibo Kong, Liping Qiu, Qifan Wu, Hansong Zhu, Xin Wei, Yonghong Wu, Mingde Hao, Huaqian Ni, Xiaorong Wei","doi":"10.1002/saj2.20652","DOIUrl":"10.1002/saj2.20652","url":null,"abstract":"<p>Soil carbon (C) is important to support sustainable agriculture, affect global C cycling, and influence the climate system. Manure fertilization is an important and widely used practice to increase agricultural productivity and soil organic carbon (SOC) pools, whereas its effect on soil inorganic carbon (SIC) and total C in deep soils is not reported. This knowledge gap restricts our ability to accurately evaluate C budget in agricultural soils because SIC in deep soils accounts for more than half of the global soil C pools, while current earth system models rarely take them into account. Herein, we examined changes of soil C along 0- to 3.0-m depth after 35 years of application of manure in a dryland agricultural ecosystem. We also measured C concentrations in soil samples (0–0.2 m) from 1985 to 2019 to evaluate C dynamics in topsoils. The objective was to understand how SIC and SOC in deep soils respond to manure fertilization in semiarid ecosystem, where SIC accounts for a large fraction of total C. We showed a divergent effect of 35 years of manure application on SOC and SIC in 0–3.0 m soil from a dryland agricultural ecosystem. Either within or across the two cropping systems examined, manure increased SOC in top 0.8 m layer but decreased SIC in 0.8–3.0 m layer, which offset SOC increase and resulted in 63.8 Mg ha<sup>−1</sup> decrease of total C in 0–3.0 m soil layer. Given the importance of soil C for sustainable agriculture and that drylands contain 80% of the global SIC and ∼50% of world cropland, immediate attention should be paid to such divergent effects in both mechanisms understanding and model prediction.</p>","PeriodicalId":101043,"journal":{"name":"Proceedings - Soil Science Society of America","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-04-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140597951","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
R. K. Kolka, K. M. Quigley, J. R. Miesel, M. B. Dickinson, B. R. Sturtevant, C. C. Kern
Currently barrens communities only represent about 1% of their original area in the Great Lakes region. To maintain or restore barrens vegetation, prescribed fire is often applied to limit the regeneration of undesirable species and shrubs. Vegetation community response is a combination of direct fire effects on the vegetation vitality and the indirect effect of soil nitrogen (N) loss that favors nutrient-poor adapted barren communities. In this study, we assessed forest floor and upper mineral soil (0–5 cm) pools of carbon (C), N, and mercury (Hg) before and after prescribed fire of the Moquah Barrens in northwest Wisconsin. Although we took measurements in four distinct cover types, we found no relationship between cover type and soil pools. Across all cover types, prescribed fire led to considerable emissions of C, N, and Hg in the forest floor but only Hg in the upper mineral soils (0–5 cm), presumably because maximum fire temperatures were met for Hg volatilization. We classified fire severity and soil surface temperatures at the quadrat scale, but no discernable relationships with emissions were observed. The lack of detectable relationships is likely the result of a mismatch between the scales of response variables and predictors. As a result, we calculated ecosystem-scale fire emissions based on the total area burned because we could not discern other smaller scale predictors. Overall emissions from dormant, spring season prescribed fires at the Moquah Barrens were approximately 11,000 Mg (5.5 Mg ha−1) for C, 350 Mg for N (0.17 Mg ha−1), and 4,500 g for Hg (2.3 g ha−1).
{"title":"Influence of barrens restoration treatments on soil carbon, nitrogen, and mercury pools and emissions","authors":"R. K. Kolka, K. M. Quigley, J. R. Miesel, M. B. Dickinson, B. R. Sturtevant, C. C. Kern","doi":"10.1002/saj2.20657","DOIUrl":"10.1002/saj2.20657","url":null,"abstract":"<p>Currently barrens communities only represent about 1% of their original area in the Great Lakes region. To maintain or restore barrens vegetation, prescribed fire is often applied to limit the regeneration of undesirable species and shrubs. Vegetation community response is a combination of direct fire effects on the vegetation vitality and the indirect effect of soil nitrogen (N) loss that favors nutrient-poor adapted barren communities. In this study, we assessed forest floor and upper mineral soil (0–5 cm) pools of carbon (C), N, and mercury (Hg) before and after prescribed fire of the Moquah Barrens in northwest Wisconsin. Although we took measurements in four distinct cover types, we found no relationship between cover type and soil pools. Across all cover types, prescribed fire led to considerable emissions of C, N, and Hg in the forest floor but only Hg in the upper mineral soils (0–5 cm), presumably because maximum fire temperatures were met for Hg volatilization. We classified fire severity and soil surface temperatures at the quadrat scale, but no discernable relationships with emissions were observed. The lack of detectable relationships is likely the result of a mismatch between the scales of response variables and predictors. As a result, we calculated ecosystem-scale fire emissions based on the total area burned because we could not discern other smaller scale predictors. Overall emissions from dormant, spring season prescribed fires at the Moquah Barrens were approximately 11,000 Mg (5.5 Mg ha<sup>−1</sup>) for C, 350 Mg for N (0.17 Mg ha<sup>−1</sup>), and 4,500 g for Hg (2.3 g ha<sup>−1</sup>).</p>","PeriodicalId":101043,"journal":{"name":"Proceedings - Soil Science Society of America","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-04-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140597673","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Hedieh Behnam, Ahmad Farrokhian Firouzi, Jiří Šimůnek
There has been an ongoing discussion about whether using functionalized biochar nanoparticles for pollutant removal is practical. The existing uncertainty surrounding functionalized biochar nanoparticles raises questions regarding their effectiveness in unraveling this problem. In this study, functionalized biochar nanoparticles were produced from corn (Zea mays L.) residues and Conocarpus erectus L. wood at 400°C and 700°C using the H2SO4/HNO3 treatment. The synthesized nanoparticles were used to explore their sorption properties for Pb2+. Various adsorption kinetic and isotherm models were evaluated using linear and nonlinear regression techniques. The functionalized biochar nanoparticles originated from wood at 400°C had the largest (80.74 mg g−1) Pb2+ adsorption capacity due to their highest O/C and the most negative zeta potential. In comparison, nanoparticles fabricated from corn residues at 700°C showed the lowest (70.47 mg g−1) Pb2+ adsorption capacity. Pyrolysis temperature affected the sorption process. Functionalized biochar nanoparticles produced at 400°C were more successful in sorbing the pollutant than those fabricated at 700°C. Linear and nonlinear pseudo-second-order kinetic models described Pb2+ adsorption kinetics well, indicating the rate-controlling step. The nonlinear Freundlich model described the equilibrium relationship between adsorbate concentration and capacity, elucidating adsorption site heterogeneity and biochar nanoparticles' affinity for Pb2+. Our study shows that functionalized biochar nanoparticles could help develop procedures for remediating polluted environments.
{"title":"Pb2+ adsorption on functionalized biochar nanoparticles: Insights from nanoparticle characterization and kinetic-isotherm analysis","authors":"Hedieh Behnam, Ahmad Farrokhian Firouzi, Jiří Šimůnek","doi":"10.1002/saj2.20669","DOIUrl":"10.1002/saj2.20669","url":null,"abstract":"<p>There has been an ongoing discussion about whether using functionalized biochar nanoparticles for pollutant removal is practical. The existing uncertainty surrounding functionalized biochar nanoparticles raises questions regarding their effectiveness in unraveling this problem. In this study, functionalized biochar nanoparticles were produced from corn (<i>Zea mays</i> L.) residues and <i>Conocarpus erectus</i> L. wood at 400°C and 700°C using the H<sub>2</sub>SO<sub>4</sub>/HNO<sub>3</sub> treatment. The synthesized nanoparticles were used to explore their sorption properties for Pb<sup>2+</sup>. Various adsorption kinetic and isotherm models were evaluated using linear and nonlinear regression techniques. The functionalized biochar nanoparticles originated from wood at 400°C had the largest (80.74 mg g<sup>−1</sup>) Pb<sup>2+</sup> adsorption capacity due to their highest O/C and the most negative zeta potential. In comparison, nanoparticles fabricated from corn residues at 700°C showed the lowest (70.47 mg g<sup>−1</sup>) Pb<sup>2+</sup> adsorption capacity. Pyrolysis temperature affected the sorption process. Functionalized biochar nanoparticles produced at 400°C were more successful in sorbing the pollutant than those fabricated at 700°C. Linear and nonlinear pseudo-second-order kinetic models described Pb<sup>2+</sup> adsorption kinetics well, indicating the rate-controlling step. The nonlinear Freundlich model described the equilibrium relationship between adsorbate concentration and capacity, elucidating adsorption site heterogeneity and biochar nanoparticles' affinity for Pb<sup>2+</sup>. Our study shows that functionalized biochar nanoparticles could help develop procedures for remediating polluted environments.</p>","PeriodicalId":101043,"journal":{"name":"Proceedings - Soil Science Society of America","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-04-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140598506","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Douglas-fir [Pseudotsuga menziesii (Mirb.) Franco] is the predominant forest plantation species in the Pacific Northwest (PNW), with site productivity and fertilizer response influenced by climate and soil variations. This study investigates the utility of in situ 12-week supply measurements of nitrogen (N), calcium (Ca), and phosphorus (P) to ion-exchange resins (specifically Plant Root Simulator [PRS] probes) to estimate carbon (C):N ratios, soil nutrient contents (0–1 m), foliar nutrient concentrations, Douglas-fir productivity (site index and basal area mean annual increment), and fertilizer volume response. PRS nutrient supply rates were correlated with N, Ca, and P soil nutrient contents (0–1 m), C:N ratios, and foliar nutrient concentrations. Low PRS NO3 supply rates (<25 mg N·m−2·burial period−1) were correlated with lower Douglas-fir productivity and greater fertilizer volume response. PRS NO3 supply rates performed as well as total soil N contents and foliar N concentrations at estimating volume growth response to fertilizer. Twelve weeks after fertilization, PRS NO3, NH4, and Ca supply rates were significantly elevated compared to the unfertilized treatment. This research found that PRS probes were an effective in situ tool and are recommended for understanding N, Ca, and P nutrient availabilities, site productivity, and fertilizer response in Douglas-fir plantations and for developing fertilizer prescriptions.
{"title":"Utility of in situ ion-exchange membranes to assess nutrient availability, productivity, and fertilizer response of coastal Douglas-fir of the Pacific Northwest","authors":"K. M. Littke, S. M. Holub, E. Bremer, E. Turnblom","doi":"10.1002/saj2.20654","DOIUrl":"10.1002/saj2.20654","url":null,"abstract":"<p>Douglas-fir [<i>Pseudotsuga menziesii</i> (Mirb.) Franco] is the predominant forest plantation species in the Pacific Northwest (PNW), with site productivity and fertilizer response influenced by climate and soil variations. This study investigates the utility of in situ 12-week supply measurements of nitrogen (N), calcium (Ca), and phosphorus (P) to ion-exchange resins (specifically Plant Root Simulator [PRS] probes) to estimate carbon (C):N ratios, soil nutrient contents (0–1 m), foliar nutrient concentrations, Douglas-fir productivity (site index and basal area mean annual increment), and fertilizer volume response. PRS nutrient supply rates were correlated with N, Ca, and P soil nutrient contents (0–1 m), C:N ratios, and foliar nutrient concentrations. Low PRS NO<sub>3</sub> supply rates (<25 mg N·m<sup>−2</sup>·burial period<sup>−1</sup>) were correlated with lower Douglas-fir productivity and greater fertilizer volume response. PRS NO<sub>3</sub> supply rates performed as well as total soil N contents and foliar N concentrations at estimating volume growth response to fertilizer. Twelve weeks after fertilization, PRS NO<sub>3</sub>, NH<sub>4</sub>, and Ca supply rates were significantly elevated compared to the unfertilized treatment. This research found that PRS probes were an effective in situ tool and are recommended for understanding N, Ca, and P nutrient availabilities, site productivity, and fertilizer response in Douglas-fir plantations and for developing fertilizer prescriptions.</p>","PeriodicalId":101043,"journal":{"name":"Proceedings - Soil Science Society of America","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-04-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140597963","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Jeonggu Lee, Allan Hertzberger, Ankita Juneja, Roland Cusick, Vijay Singh, Andrew J. Margenot
Phosphorus (P) recovery from waste streams can increase food system P use efficiency while simultaneousl mitigating point source P losses. Phytin is a P-rich waste product generated from maize grain biorefineries, largely located in the US Midwest. However, since the majority of P in phytin is organic, phytin-P is likely to have limited crop availability in soil following application, as it must first be mineralized to orthophosphate-P by soil phosphatases. To evaluate the fertilizer potential of phytin recovered from a maize wet milling plant and test hypothesized mechanisms of P mineralization, a five-step gradient of phytin substitution for monoammonium phosphate (MAP) (0%, 25%, 50%, 75%, and 100% substitution) was evaluated for maize (Zea mays L.) and soybean (Glycine max L.) growth in a P-deficient Aquic Argiudoll. Irrespective of crop species, aboveground biomass at end of vegetative growth (VT stage) was similar for up to 75% phytin substitution as MAP, but was 21% lower for maize and 49% for soybean when phytin was fully substituted for MAP. Soil microbial biomass carbon (C), nitrogen (N), and P, as well as activities of phosphomonoesterase and phosphodiesterase were invariant across the phytin substitution gradient, suggesting negligible mineralization of phytin P. Full substitution of MAP with phytin lowered soil microbial biomass C:N by 121% for maize and by 153% for soybean, and soil phosphatase activities per unit microbial biomass C were 24% higher under soybean. Our results indicate that phytin can be partially substituted for highly water-soluble P fertilizers for the two major crop species of the US Midwest in which phytin waste generation is co-located.
{"title":"Phytin recovered from grain distillation can serve as a phosphorus fertilizer for maize and soybean","authors":"Jeonggu Lee, Allan Hertzberger, Ankita Juneja, Roland Cusick, Vijay Singh, Andrew J. Margenot","doi":"10.1002/saj2.20659","DOIUrl":"10.1002/saj2.20659","url":null,"abstract":"<p>Phosphorus (P) recovery from waste streams can increase food system P use efficiency while simultaneousl mitigating point source P losses. Phytin is a P-rich waste product generated from maize grain biorefineries, largely located in the US Midwest. However, since the majority of P in phytin is organic, phytin-P is likely to have limited crop availability in soil following application, as it must first be mineralized to orthophosphate-P by soil phosphatases. To evaluate the fertilizer potential of phytin recovered from a maize wet milling plant and test hypothesized mechanisms of P mineralization, a five-step gradient of phytin substitution for monoammonium phosphate (MAP) (0%, 25%, 50%, 75%, and 100% substitution) was evaluated for maize (<i>Zea mays</i> L.) and soybean (<i>Glycine max</i> L.) growth in a P-deficient Aquic Argiudoll. Irrespective of crop species, aboveground biomass at end of vegetative growth (VT stage) was similar for up to 75% phytin substitution as MAP, but was 21% lower for maize and 49% for soybean when phytin was fully substituted for MAP. Soil microbial biomass carbon (C), nitrogen (N), and P, as well as activities of phosphomonoesterase and phosphodiesterase were invariant across the phytin substitution gradient, suggesting negligible mineralization of phytin P. Full substitution of MAP with phytin lowered soil microbial biomass C:N by 121% for maize and by 153% for soybean, and soil phosphatase activities per unit microbial biomass C were 24% higher under soybean. Our results indicate that phytin can be partially substituted for highly water-soluble P fertilizers for the two major crop species of the US Midwest in which phytin waste generation is co-located.</p>","PeriodicalId":101043,"journal":{"name":"Proceedings - Soil Science Society of America","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-03-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/saj2.20659","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140366144","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Zalak Y. Chauhan, Sanjay N. Shah, K. C. Patel, Jagruti C. Shroff, Hiren K. Patel
The degradation of soil quality in intensive cropping systems demands urgent attention to preserve soil health and sustain crop productivity. A 2-year field experiment conducted in the loamy sand soil of Gujarat's Plains and Hills explored integrated nutrient management (INM) effects on nutrient dynamics, soil attributes, and microbial populations in maize (Zea mays L.)–sesame (Sesamum indicum L.) cropping. Using a randomized block design with three replications and 12 treatments, notable enhancements in soil physical conditions were observed following the integrated application of organic manure and inorganic fertilizers. Specifically, the application of 75% recommended dose of fertilizer (RDF) and 25% recommended dose of nutrient (RDN) through vermicompost, added with an NPK consortium via soil application, significantly increased N, P, and K uptake in the maize crop as compared with other treatments. The application of 75% RDF and 25% RDN through farmyard manure, added with an NPK consortium via soil application, led to a substantial increase of organic carbon levels and nitrogen availability in the soil post-maize and sesame harvests, as well as with a marked increase in soil microbial populations. Correlation analysis representing the degree of association among all the traits underscores the potential of INM strategies to mitigate soil quality degradation and enhance nutrient cycling within maize–sesame cropping systems, thereby promoting agricultural sustainability in this specific agro-climatic region.
{"title":"Optimizing integrated nutrient management for sustainable maize–sesame cropping in Gujarat Plains: A soil health perspective","authors":"Zalak Y. Chauhan, Sanjay N. Shah, K. C. Patel, Jagruti C. Shroff, Hiren K. Patel","doi":"10.1002/saj2.20664","DOIUrl":"10.1002/saj2.20664","url":null,"abstract":"<p>The degradation of soil quality in intensive cropping systems demands urgent attention to preserve soil health and sustain crop productivity. A 2-year field experiment conducted in the loamy sand soil of Gujarat's Plains and Hills explored integrated nutrient management (INM) effects on nutrient dynamics, soil attributes, and microbial populations in maize (<i>Zea mays</i> L.)–sesame (<i>Sesamum indicum</i> L.) cropping. Using a randomized block design with three replications and 12 treatments, notable enhancements in soil physical conditions were observed following the integrated application of organic manure and inorganic fertilizers. Specifically, the application of 75% recommended dose of fertilizer (RDF) and 25% recommended dose of nutrient (RDN) through vermicompost, added with an NPK consortium via soil application, significantly increased N, P, and K uptake in the maize crop as compared with other treatments. The application of 75% RDF and 25% RDN through farmyard manure, added with an NPK consortium via soil application, led to a substantial increase of organic carbon levels and nitrogen availability in the soil post-maize and sesame harvests, as well as with a marked increase in soil microbial populations. Correlation analysis representing the degree of association among all the traits underscores the potential of INM strategies to mitigate soil quality degradation and enhance nutrient cycling within maize–sesame cropping systems, thereby promoting agricultural sustainability in this specific agro-climatic region.</p>","PeriodicalId":101043,"journal":{"name":"Proceedings - Soil Science Society of America","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-03-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140367113","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Nitrogen (N) depolymerization and mineralization in soils are catalyzed by extracellular enzymes, notably proteolytic and chitinolytic enzymes. However, there is limited knowledge of pH optima of these N-hydrolytic soil enzymes, potentially missing insights to soil pH effects on N cycling and requiring assumptions on pH optima in enzyme activity assays. We evaluated pH optima of five N-hydrolytic enzymes (casein protease, leucine aminopeptidase, glycine aminopeptidase, alanine aminopeptidase, N-acetyl-β-glucosaminidase) in soils under long-term (145-year) fertilization and crop rotation treatments, as well as a restored prairie, on an Aquic Argiudoll. We additionally tested the pH dependency of three types of non-enzymatic interferences in order to assess the relative importance of controls in determining N-hydrolytic enzyme activity pH optima. For all enzymes, pH–activity relationships varied by soil and exhibited secondary pH optima, though primary pH optima generally agreed with values reported for purified, non-soil enzymes. Enzyme activity pH optima did not reflect soil pH, though soil pH ranged 6.2–7.4 across 145-year treatments. Nonenzymatic interference was generally pH-dependent and soil-specific for protease and N-acetyl-β-glucosaminidase. Though omitting controls for dissolved organic matter tended to have the largest effect on pH optima misestimation, controlling for all three sources of interference had appreciable effects on estimated pH optima values. This study provides a benchmark of empirically determined pH optima of multiple hydrolytic enzymes that catalyze soil N depolymerization. We demonstrate that soil N-hydrolytic enzyme activities exhibit pH optima that generally vary most by enzyme type, and specifically between proteolytic versus chitinolytic enzymes. Because pH optima of these soil enzyme activities can vary among soils differing in management and land use, pH optima should be determined a priori.
{"title":"Examining activity–pH relationships of soil nitrogen hydrolytic enzymes","authors":"Rachel C. Daughtridge, Andrew J. Margenot","doi":"10.1002/saj2.20663","DOIUrl":"10.1002/saj2.20663","url":null,"abstract":"<p>Nitrogen (N) depolymerization and mineralization in soils are catalyzed by extracellular enzymes, notably proteolytic and chitinolytic enzymes. However, there is limited knowledge of pH optima of these N-hydrolytic soil enzymes, potentially missing insights to soil pH effects on N cycling and requiring assumptions on pH optima in enzyme activity assays. We evaluated pH optima of five N-hydrolytic enzymes (casein protease, leucine aminopeptidase, glycine aminopeptidase, alanine aminopeptidase, <i>N</i>-acetyl-β-glucosaminidase) in soils under long-term (145-year) fertilization and crop rotation treatments, as well as a restored prairie, on an Aquic Argiudoll. We additionally tested the pH dependency of three types of non-enzymatic interferences in order to assess the relative importance of controls in determining N-hydrolytic enzyme activity pH optima. For all enzymes, pH–activity relationships varied by soil and exhibited secondary pH optima, though primary pH optima generally agreed with values reported for purified, non-soil enzymes. Enzyme activity pH optima did not reflect soil pH, though soil pH ranged 6.2–7.4 across 145-year treatments. Nonenzymatic interference was generally pH-dependent and soil-specific for protease and <i>N</i>-acetyl-β-glucosaminidase. Though omitting controls for dissolved organic matter tended to have the largest effect on pH optima misestimation, controlling for all three sources of interference had appreciable effects on estimated pH optima values. This study provides a benchmark of empirically determined pH optima of multiple hydrolytic enzymes that catalyze soil N depolymerization. We demonstrate that soil N-hydrolytic enzyme activities exhibit pH optima that generally vary most by enzyme type, and specifically between proteolytic versus chitinolytic enzymes. Because pH optima of these soil enzyme activities can vary among soils differing in management and land use, pH optima should be determined a priori.</p>","PeriodicalId":101043,"journal":{"name":"Proceedings - Soil Science Society of America","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-03-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/saj2.20663","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140365353","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Agricultural practices alter the organic carbon dynamics in soil. An experiment was conducted to study the effect of carbon amendments, tillage, and cover cropping on permanganate oxidizable carbon (POXC), total organic carbon (TOC), and wet aggregate stability (WAS) in a 2-year crop sequence (corn–cover crop–cotton–cover crop) at the Texas A&M Research Farm. Two carbon amendments (biochar and composted biosolid) were applied at the rate of 500 kg C ha−1, along with a control. Two tillage practices were evaluated: conventional tillage (CT) and no-tillage (No-Till). A cover crop (CC) mixture of oat, mustard, and pea and no cover crop (No-CC) were also evaluated. Treatments were arranged in a split-split plot design with four replications. Amending the soil with carbon as composted biosolid or biochar affected POXC at both the 0- to 5- and 5- to 15-cm depths. The POXC was significantly higher for the biochar treated plots for corn and CC after corn but significantly lower POXC was observed after cotton with biochar-treated plots. The POXC increased under No-Till compared with CT and CC plots relative to No-CC plots. The TOC was not sensitive to soil management practices. The POXC and TOC both decreased with depth. The WAS greater under No-Till and CC plots. The POXC and WAS were influenced by soil management practices and can be useful indicators to assess short-term soil health improvements. The POXC and WAS were positively related, suggesting that one may be used to predict the other.
农业实践会改变土壤中的有机碳动态。在德克萨斯州 A&M 研究农场进行了一项实验,研究碳添加剂、耕作和覆盖种植对两年作物序列(玉米-覆盖作物-棉花-覆盖作物)中高锰酸盐可氧化碳 (POXC)、总有机碳 (TOC) 和湿集料稳定性 (WAS) 的影响。两种碳添加剂(生物炭和堆肥生物固体)的施用量为每公顷 500 千克碳,另外还有一个对照组。对两种耕作方式进行了评估:传统耕作(CT)和免耕(No-Till)。此外,还评估了燕麦、芥菜和豌豆的混合覆盖作物(CC)以及无覆盖作物(No-CC)。试验采用四次重复的分割小区设计。用堆肥生物固态碳或生物碳改良土壤会影响 0 至 5 厘米和 5 至 15 厘米深度的 POXC。生物炭处理过的地块玉米和 CC 后的 POXC 明显更高,但生物炭处理过的地块棉花后的 POXC 明显更低。与 CT 和 CC 地块相比,免耕地块的 POXC 相对于无 CC 地块有所增加。总有机碳对土壤管理方法不敏感。POXC 和 TOC 都随深度的增加而减少。免耕地块和 CC 地块的 WAS 更大。POXC 和 WAS 受土壤管理措施的影响,可作为评估短期土壤健康改善情况的有用指标。POXC 和 WAS 呈正相关,这表明其中一个可用于预测另一个。
{"title":"Soil carbon and aggregate stability are positively related and increased under combined soil amendment, tillage, and cover cropping practices","authors":"Binita Thapa, Jake Mowrer","doi":"10.1002/saj2.20642","DOIUrl":"10.1002/saj2.20642","url":null,"abstract":"<p>Agricultural practices alter the organic carbon dynamics in soil. An experiment was conducted to study the effect of carbon amendments, tillage, and cover cropping on permanganate oxidizable carbon (POXC), total organic carbon (TOC), and wet aggregate stability (WAS) in a 2-year crop sequence (corn–cover crop–cotton–cover crop) at the Texas A&M Research Farm. Two carbon amendments (biochar and composted biosolid) were applied at the rate of 500 kg C ha<sup>−1</sup>, along with a control. Two tillage practices were evaluated: conventional tillage (CT) and no-tillage (No-Till). A cover crop (CC) mixture of oat, mustard, and pea and no cover crop (No-CC) were also evaluated. Treatments were arranged in a split-split plot design with four replications. Amending the soil with carbon as composted biosolid or biochar affected POXC at both the 0- to 5- and 5- to 15-cm depths. The POXC was significantly higher for the biochar treated plots for corn and CC after corn but significantly lower POXC was observed after cotton with biochar-treated plots. The POXC increased under No-Till compared with CT and CC plots relative to No-CC plots. The TOC was not sensitive to soil management practices. The POXC and TOC both decreased with depth. The WAS greater under No-Till and CC plots. The POXC and WAS were influenced by soil management practices and can be useful indicators to assess short-term soil health improvements. The POXC and WAS were positively related, suggesting that one may be used to predict the other.</p>","PeriodicalId":101043,"journal":{"name":"Proceedings - Soil Science Society of America","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-03-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140205256","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Stan Durand, William Carl Fonteno, Jean-Charles Michel
An expanded description of particle morphology and the analysis of its relationships with physical properties may help to optimize the selection of raw materials and particle size fractions used as growing media constituents. Previous works have described the outlines of these relations based mostly on sieving procedures to characterize particle size distribution. They have shown limited and sometimes contradictory results due to the different methods used, size fractions selected, and physical properties measured. Also, sieve analysis, which separates particles based on their width, is less accurate for non-spherical particles, which is the case for most growing media constituents. Recent works have promoted the use of dynamic image analysis (DIA) to precisely analyze both particle length and width. Five raw materials were chosen (white and black peats, coir, pine bark, and wood fiber) and sieved to obtain various particle size fractions. For each particle size fraction and the raw materials, the mean weight diameter (MWD), derived from sieving, was calculated, whereas mean particle length and width were determined using a DIA tool, the QicPic device. Also, physical properties were assessed from water retention curves established using Hyprop systems. The statement that the larger the particle size, the higher the air-filled porosity (AFP), the lower the water holding capacity (WHC) was more precisely redefined. Large variations in WHC and AFP mainly occurred for finest particle size fractions, whereas changes were conversely very small or non-existent for larger particle sizes. From data obtained for each particle size fractions, regression models were established to relate mean particle length and width (both determined using DIA) and MWD (determined from sieving) with WHC and AFP. Mean particle length was identified as the most relevant parameter for predicting WHC and AFP of the raw materials tested.
扩大对颗粒形态的描述并分析其与物理性质的关系,有助于优化对用作生长介质成分的原料和颗粒大小组分的选择。以前的研究主要基于筛分程序来描述粒度分布,从而描述了这些关系的轮廓。由于使用的方法、选择的粒度组分和测量的物理性质不同,这些研究显示的结果有限,有时甚至相互矛盾。此外,筛分分析是根据颗粒的宽度来分离颗粒的,对于非球形颗粒的准确性较低,而大多数生长介质成分都是非球形颗粒。最近的研究提倡使用动态图像分析(DIA)来精确分析颗粒的长度和宽度。我们选择了五种原料(白泥炭和黑泥炭、椰壳纤维、松树皮和木质纤维),并对其进行筛分,以获得不同粒径的部分。对于每种粒度分馏物和原料,都计算了筛分得出的平均重量直径(MWD),并使用 DIA 工具 QicPic 设备测定了平均粒长和粒宽。此外,还通过使用 Hyprop 系统建立的保水曲线对物理特性进行了评估。粒度越大,充气孔隙率(AFP)越高,持水量(WHC)越低,这一说法得到了更精确的重新定义。持水量和充气孔隙率的巨大变化主要发生在最细的粒度组分上,而相反,粒度较大的组分变化很小或没有变化。根据所获得的各粒度组分的数据,建立了颗粒平均长度和宽度(均用 DIA 测定)以及最大粒径(用筛分法测定)与 WHC 和 AFP 的回归模型。平均粒长被确定为预测所测试原料的 WHC 和 AFP 的最相关参数。
{"title":"A review and analysis of particle size parameters and their relationships to physical properties of growing media","authors":"Stan Durand, William Carl Fonteno, Jean-Charles Michel","doi":"10.1002/saj2.20661","DOIUrl":"10.1002/saj2.20661","url":null,"abstract":"<p>An expanded description of particle morphology and the analysis of its relationships with physical properties may help to optimize the selection of raw materials and particle size fractions used as growing media constituents. Previous works have described the outlines of these relations based mostly on sieving procedures to characterize particle size distribution. They have shown limited and sometimes contradictory results due to the different methods used, size fractions selected, and physical properties measured. Also, sieve analysis, which separates particles based on their width, is less accurate for non-spherical particles, which is the case for most growing media constituents. Recent works have promoted the use of dynamic image analysis (DIA) to precisely analyze both particle length and width. Five raw materials were chosen (white and black peats, coir, pine bark, and wood fiber) and sieved to obtain various particle size fractions. For each particle size fraction and the raw materials, the mean weight diameter (MWD), derived from sieving, was calculated, whereas mean particle length and width were determined using a DIA tool, the QicPic device. Also, physical properties were assessed from water retention curves established using Hyprop systems. The statement that the larger the particle size, the higher the air-filled porosity (AFP), the lower the water holding capacity (WHC) was more precisely redefined. Large variations in WHC and AFP mainly occurred for finest particle size fractions, whereas changes were conversely very small or non-existent for larger particle sizes. From data obtained for each particle size fractions, regression models were established to relate mean particle length and width (both determined using DIA) and MWD (determined from sieving) with WHC and AFP. Mean particle length was identified as the most relevant parameter for predicting WHC and AFP of the raw materials tested.</p>","PeriodicalId":101043,"journal":{"name":"Proceedings - Soil Science Society of America","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-03-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140205372","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Soil bulk density (BD) is important for measuring changes in soil chemical, physical, and biological properties; however, the measurement is tedious to collect and requires specialized equipment. Database measurements for soil surface BD do not always correspond to present field conditions as field management can alter BD in time. Saturation percentage (SP) is a routine lab measurement. The objectives of this study are to (1) understand if a relationship between BD and SP can be developed and (2) build a model that predicts BD based on a routine low-cost lab analysis. We collected 83 soil samples from different experimental sites around California's Central Valley. At each site, BD, SP, soil organic matter (OM), and soil total organic carbon were measured. A set of models were generated and compared based on their Akaike information criterion (AIC) and adjusted R2. The best two models are presented in this paper, and their accuracy and precision in estimating BD were further compared by calculating the root mean square error (RMSE) and the R2 of the predicted versus values measured in the field. We determined that a strong relationship between BD and SP exists (R2 = 0.70) and that a cubic model that includes SP and OM resulted in the best model to predict BD in California soils. Inclusion of additional data may further strengthen this model or make it applicable for other grower regions.
{"title":"Can saturated paste be used to predict bulk density in annual cropping systems in California?","authors":"Veronica Suarez Romero, Sarah E. Light","doi":"10.1002/saj2.20658","DOIUrl":"10.1002/saj2.20658","url":null,"abstract":"<p>Soil bulk density (BD) is important for measuring changes in soil chemical, physical, and biological properties; however, the measurement is tedious to collect and requires specialized equipment. Database measurements for soil surface BD do not always correspond to present field conditions as field management can alter BD in time. Saturation percentage (SP) is a routine lab measurement. The objectives of this study are to (1) understand if a relationship between BD and SP can be developed and (2) build a model that predicts BD based on a routine low-cost lab analysis. We collected 83 soil samples from different experimental sites around California's Central Valley. At each site, BD, SP, soil organic matter (OM), and soil total organic carbon were measured. A set of models were generated and compared based on their Akaike information criterion (AIC) and adjusted <i>R</i><sup>2</sup>. The best two models are presented in this paper, and their accuracy and precision in estimating BD were further compared by calculating the root mean square error (RMSE) and the <i>R</i><sup>2</sup> of the predicted versus values measured in the field. We determined that a strong relationship between BD and SP exists (<i>R</i><sup>2</sup> = 0.70) and that a cubic model that includes SP and OM resulted in the best model to predict BD in California soils. Inclusion of additional data may further strengthen this model or make it applicable for other grower regions.</p>","PeriodicalId":101043,"journal":{"name":"Proceedings - Soil Science Society of America","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-03-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/saj2.20658","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140196315","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}