Pub Date : 2024-12-01DOI: 10.1016/j.pedsph.2023.07.015
Yuzhen CHANG , Fan YANG , Chaofeng YANG , Yiting ZHENG , Xianyu PAN , Shanshan MA , Haibao JI , Ji Feng SHAO
Moso bamboo is one of the most important economic bamboo species in China, but cadmium (Cd) pollution has become a potential threat of its sustainable development. Silicon (Si) reduces Cd accumulation in many plant species. However, the exact mechanisms of this effect in Moso bamboo are still poorly understood. Here, we investigated the effect of Si on Cd accumulation in Moso bamboo in terms of Cd concentration in roots, Cd cellular and subcellular distribution, root cell morphology, and gene expression. Seedlings (ten days old) were exposed to different concentrations of Cd (0, 1, 5, and 50 μmol L-1) in a 0.5 mmol L-1 CaCl2 solution treated with (+Si) and without (-Si) 1 mmol L-1 Si (as silicic acid) for two days. The effect of Si on the alleviation of Cd-induced inhibition of root elongation was not obvious, but Si could significantly reduce Cd accumulation in roots at all tested Cd concentrations (1, 5, and 50 μmol L-1). Cadmium was localized in all cells of roots, but Si application altered the Cd distribution from all cells to distal side of exodermis cells in roots. Semi-quantitative determination of Cd using energy-dispersive X-rays revealed higher Cd concentrations in exodermis, but lower concentrations in the stele when Si was applied. However, Si increased Cd accumulation in root cell wall, but decreased it in cell sap. Moreover, more than 70% of Cd and Si were found in hemicellulose 1 of the cell wall. These results suggested that Si reduced Cd accumulation by sequestering Cd in hemicellulose 1 in the root cell wall at the subcellular level and retaining most of the Cd in the root exodermis at the cellular level in Moso bamboo under short-term Si application.
{"title":"Silicon reduces cadmium accumulation in Moso bamboo (Phyllostachys edulis) root cell sap by sequestering cadmium in hemicellulose 1","authors":"Yuzhen CHANG , Fan YANG , Chaofeng YANG , Yiting ZHENG , Xianyu PAN , Shanshan MA , Haibao JI , Ji Feng SHAO","doi":"10.1016/j.pedsph.2023.07.015","DOIUrl":"10.1016/j.pedsph.2023.07.015","url":null,"abstract":"<div><div>Moso bamboo is one of the most important economic bamboo species in China, but cadmium (Cd) pollution has become a potential threat of its sustainable development. Silicon (Si) reduces Cd accumulation in many plant species. However, the exact mechanisms of this effect in Moso bamboo are still poorly understood. Here, we investigated the effect of Si on Cd accumulation in Moso bamboo in terms of Cd concentration in roots, Cd cellular and subcellular distribution, root cell morphology, and gene expression. Seedlings (ten days old) were exposed to different concentrations of Cd (0, 1, 5, and 50 μmol L<sup>-1</sup>) in a 0.5 mmol L<sup>-1</sup> CaCl<sub>2</sub> solution treated with (+Si) and without (-Si) 1 mmol L<sup>-1</sup> Si (as silicic acid) for two days. The effect of Si on the alleviation of Cd-induced inhibition of root elongation was not obvious, but Si could significantly reduce Cd accumulation in roots at all tested Cd concentrations (1, 5, and 50 μmol L<sup>-1</sup>). Cadmium was localized in all cells of roots, but Si application altered the Cd distribution from all cells to distal side of exodermis cells in roots. Semi-quantitative determination of Cd using energy-dispersive X-rays revealed higher Cd concentrations in exodermis, but lower concentrations in the stele when Si was applied. However, Si increased Cd accumulation in root cell wall, but decreased it in cell sap. Moreover, more than 70% of Cd and Si were found in hemicellulose 1 of the cell wall. These results suggested that Si reduced Cd accumulation by sequestering Cd in hemicellulose 1 in the root cell wall at the subcellular level and retaining most of the Cd in the root exodermis at the cellular level in Moso bamboo under short-term Si application.</div></div>","PeriodicalId":49709,"journal":{"name":"Pedosphere","volume":"34 6","pages":"Pages 1002-1013"},"PeriodicalIF":5.2,"publicationDate":"2024-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41572491","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}
Pub Date : 2024-12-01DOI: 10.1016/j.pedsph.2024.07.003
Wei JIANG , Mingyao XIONG , Shuzhen ZOU , Di KANG
Peatlands on the southwestern plateau of China are important carbon sinks for high-altitude terrestrial ecosystems in Asia. However, the specific microecological mechanism responsible for alterations in carbon processes in this region due to the simultaneous impacts of global warming and drought has not been fully elucidated. Investigating this mechanism will improve our understanding of carbon cycle feedback in peatland ecosystems, as it is affected by changes in hydrology and temperature, especially in vulnerable habitats. This study examined the influence of soil carbon decomposition functional microorganisms on soil respiration and temperature sensitivity (expressed as Q10) in high-elevation peatlands using field investigations, simulated warming experiments, and metagenomic sequencing. We found that hydrothermal conditions had a significant effect on soil respiration, leading to an increase in cumulative soil respiration as soil moisture and temperature increased. Soil moisture affected soil respiration and soil organic carbon mainly through soil microorganisms, with a predominance of carbon-decomposing genes. We found that genes regulating the decomposition of plant-derived carbon such as cellulose and lignin were the critical factor influencing Q10 in peatlands. Genes involved in cellulose and lignin decomposition showed a significant positive correlation with Q10 (P < 0.05), while genes involved in hemicellulose decomposition showed a significant negative correlation with Q10 (P < 0.05). Specifically, genes such as ACO, xylF, and hpaE, which are involved in lignin decomposition, and glgB, which is responsible for cellulose decomposition, showed significant positive correlations (P < 0.05) with Q10. Conversely, the gene uxaC, involved in the decomposition of hemicellulose, showed a significant negative correlation (P < 0.05) with Q10. Finally, we analyzed the relevant carbon metabolic pathways and found that although they were affected by water, they were not significantly related to Q10. In short, this research highlights the importance of microorganisms with genes for decomposing plant-derived carbon in influencing carbon emissions in plateau peatlands during periods of warming.
{"title":"Microbial genes for degrading plant-derived carbon are a key factor affecting soil respiration and temperature sensitivity in plateau peatlands","authors":"Wei JIANG , Mingyao XIONG , Shuzhen ZOU , Di KANG","doi":"10.1016/j.pedsph.2024.07.003","DOIUrl":"10.1016/j.pedsph.2024.07.003","url":null,"abstract":"<div><div>Peatlands on the southwestern plateau of China are important carbon sinks for high-altitude terrestrial ecosystems in Asia. However, the specific microecological mechanism responsible for alterations in carbon processes in this region due to the simultaneous impacts of global warming and drought has not been fully elucidated. Investigating this mechanism will improve our understanding of carbon cycle feedback in peatland ecosystems, as it is affected by changes in hydrology and temperature, especially in vulnerable habitats. This study examined the influence of soil carbon decomposition functional microorganisms on soil respiration and temperature sensitivity (expressed as <em>Q</em><sub>10</sub>) in high-elevation peatlands using field investigations, simulated warming experiments, and metagenomic sequencing. We found that hydrothermal conditions had a significant effect on soil respiration, leading to an increase in cumulative soil respiration as soil moisture and temperature increased. Soil moisture affected soil respiration and soil organic carbon mainly through soil microorganisms, with a predominance of carbon-decomposing genes. We found that genes regulating the decomposition of plant-derived carbon such as cellulose and lignin were the critical factor influencing <em>Q</em><sub>10</sub> in peatlands. Genes involved in cellulose and lignin decomposition showed a significant positive correlation with <em>Q</em><sub>10</sub> (<em>P</em> < 0.05), while genes involved in hemicellulose decomposition showed a significant negative correlation with <em>Q</em><sub>10</sub> (<em>P</em> < 0.05). Specifically, genes such as <em>ACO</em>, <em>xylF</em>, and <em>hpaE</em>, which are involved in lignin decomposition, and <em>glgB</em>, which is responsible for cellulose decomposition, showed significant positive correlations (<em>P</em> < 0.05) with <em>Q</em><sub>10</sub>. Conversely, the gene <em>uxaC</em>, involved in the decomposition of hemicellulose, showed a significant negative correlation (<em>P</em> < 0.05) with <em>Q</em><sub>10</sub>. Finally, we analyzed the relevant carbon metabolic pathways and found that although they were affected by water, they were not significantly related to <em>Q</em><sub>10</sub>. In short, this research highlights the importance of microorganisms with genes for decomposing plant-derived carbon in influencing carbon emissions in plateau peatlands during periods of warming.</div></div>","PeriodicalId":49709,"journal":{"name":"Pedosphere","volume":"34 6","pages":"Pages 1026-1037"},"PeriodicalIF":5.2,"publicationDate":"2024-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141708180","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}
Pub Date : 2024-12-01DOI: 10.1016/j.pedsph.2023.09.006
Milin DENG , Guiping YE , Hang-Wei HU , Chao XU , Ping YANG , Yong ZHENG , Jupei SHEN , Shengsheng JIN , Ji-Zheng HE , Yongxin LIN
The conversion of natural forests in subtropical regions to plantations or secondary forests has resulted in alterations in soil variables, microbial communities, and microbially mediated processes, including nitrous oxide (N2O) emissions. However, how forest conversion influences soil N2O reduction and the abundance and community structure of N2O-reducing microorganisms remains unclear. Here, we investigated the impact of converting natural forests to a secondary forest and Cunninghamia lanceolata and Pinus massoniana plantations on the abundance and community structure of N2O-reducing microorganisms in both bulk soils and soil aggregates. Compared with the secondary forest, plantations had higher soil pH and available phosphorus and moisture contents, lower soil NH4+ content, but similar aggregate sizes. Compared with the secondary forest, the conversion of natural forest to plantations resulted in significantly higher soil N2O reduction rate and increased abundances of nosZ I and nosZ II genes in bulk soils and soil aggregates. The abundance of nosZ I was higher than that of nosZ II in all tested soils and had a stronger association with N2O reduction rate, suggesting the greater role of nosZ I-carrying microorganisms in N2O consumption. Forest conversion had a greater impact on the community composition of nosZ I than nosZ II, mainly by increasing the relative abundances of alpha- and beta-Proteobacteria, while decreasing gamma-Proteobacteria. However, nosZ II-carrying microorganisms were exclusively dominated by Gemmatimonadetes and less affected by forest conversion. Taken together, our findings significantly contribute to our understanding of the eco-physiological characteristics of N2O-reducing microorganisms and highlight the importance of nosZ I-carrying microorganisms in N2O consumption in subtropical forest soils.
{"title":"Role of nosZ I-carrying microorganisms in regulating nitrous oxide reduction during forest conversion: A comparison of plantations and a secondary forest in subtropical soils","authors":"Milin DENG , Guiping YE , Hang-Wei HU , Chao XU , Ping YANG , Yong ZHENG , Jupei SHEN , Shengsheng JIN , Ji-Zheng HE , Yongxin LIN","doi":"10.1016/j.pedsph.2023.09.006","DOIUrl":"10.1016/j.pedsph.2023.09.006","url":null,"abstract":"<div><div>The conversion of natural forests in subtropical regions to plantations or secondary forests has resulted in alterations in soil variables, microbial communities, and microbially mediated processes, including nitrous oxide (N<sub>2</sub>O) emissions. However, how forest conversion influences soil N<sub>2</sub>O reduction and the abundance and community structure of N<sub>2</sub>O-reducing microorganisms remains unclear. Here, we investigated the impact of converting natural forests to a secondary forest and <em>Cunninghamia lanceolata</em> and <em>Pinus massoniana</em> plantations on the abundance and community structure of N<sub>2</sub>O-reducing microorganisms in both bulk soils and soil aggregates. Compared with the secondary forest, plantations had higher soil pH and available phosphorus and moisture contents, lower soil NH<sub>4</sub><sup>+</sup> content, but similar aggregate sizes. Compared with the secondary forest, the conversion of natural forest to plantations resulted in significantly higher soil N<sub>2</sub>O reduction rate and increased abundances of <em>nosZ</em> I and <em>nosZ</em> II genes in bulk soils and soil aggregates. The abundance of <em>nosZ</em> I was higher than that of <em>nosZ</em> II in all tested soils and had a stronger association with N<sub>2</sub>O reduction rate, suggesting the greater role of <em>nosZ</em> I-carrying microorganisms in N<sub>2</sub>O consumption. Forest conversion had a greater impact on the community composition of <em>nosZ</em> I than <em>nosZ</em> II, mainly by increasing the relative abundances of alpha- and beta-Proteobacteria, while decreasing gamma-Proteobacteria. However, <em>nosZ</em> II-carrying microorganisms were exclusively dominated by Gemmatimonadetes and less affected by forest conversion. Taken together, our findings significantly contribute to our understanding of the eco-physiological characteristics of N<sub>2</sub>O-reducing microorganisms and highlight the importance of <em>nosZ</em> I-carrying microorganisms in N<sub>2</sub>O consumption in subtropical forest soils.</div></div>","PeriodicalId":49709,"journal":{"name":"Pedosphere","volume":"34 6","pages":"Pages 1066-1075"},"PeriodicalIF":5.2,"publicationDate":"2024-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134994401","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}
Root zone soil moisture (RZSM) plays a critical role in land-atmosphere hydrological cycles and serves as the primary water source for vegetation growth. However, the correlations between RZSM and its associated variables, including surface soil moisture (SSM), often exhibit nonlinearities that are challenging to identify and quantify using conventional statistical techniques. Therefore, this study presents a hybrid convolutional neural network (CNN)-long short-term memory neural network (LSTM)-attention (CLA) model for predicting RZSM. Owing to the scarcity of soil moisture (SM) observation data, the physical model Hydrus-1D was employed to simulate a comprehensive dataset of spatial-temporal SM. Meteorological data and moderate resolution imaging spectroradiometer vegetation characterization parameters were used as predictor variables for the training and validation of the CLA model. The results of the CLA model for SM prediction in the root zone were significantly enhanced compared with those of the traditional LSTM and CNN-LSTM models. This was particularly notable at the depth of 80–100 cm, where the fitness (R2) reached nearly 0.929 8. Moreover, the root mean square error of the CLA model was reduced by 49% and 57% compared with those of the LSTM and CNN-LSTM models, respectively. This study demonstrates that the integration of physical modeling and deep learning methods provides a more comprehensive and accurate understanding of spatial-temporal SM variations in the root zone.
{"title":"Spatial-temporal simulation and prediction of root zone soil moisture based on Hydrus-1D and CNN-LSTM-attention models in Yutian Oasis, southern Xinjiang, China","authors":"Xiaobo LÜ , Ilyas NURMEMET , Sentian XIAO , Jing ZHAO , Xinru YU , Yilizhati AILI , Shiqin LI","doi":"10.1016/j.pedsph.2024.10.008","DOIUrl":"10.1016/j.pedsph.2024.10.008","url":null,"abstract":"<div><div>Root zone soil moisture (RZSM) plays a critical role in land-atmosphere hydrological cycles and serves as the primary water source for vegetation growth. However, the correlations between RZSM and its associated variables, including surface soil moisture (SSM), often exhibit nonlinearities that are challenging to identify and quantify using conventional statistical techniques. Therefore, this study presents a hybrid convolutional neural network (CNN)-long short-term memory neural network (LSTM)-attention (CLA) model for predicting RZSM. Owing to the scarcity of soil moisture (SM) observation data, the physical model Hydrus-1D was employed to simulate a comprehensive dataset of spatial-temporal SM. Meteorological data and moderate resolution imaging spectroradiometer vegetation characterization parameters were used as predictor variables for the training and validation of the CLA model. The results of the CLA model for SM prediction in the root zone were significantly enhanced compared with those of the traditional LSTM and CNN-LSTM models. This was particularly notable at the depth of 80–100 cm, where the fitness (<em>R</em><sup>2</sup>) reached nearly 0.929 8. Moreover, the root mean square error of the CLA model was reduced by 49% and 57% compared with those of the LSTM and CNN-LSTM models, respectively. This study demonstrates that the integration of physical modeling and deep learning methods provides a more comprehensive and accurate understanding of spatial-temporal SM variations in the root zone.</div></div>","PeriodicalId":49709,"journal":{"name":"Pedosphere","volume":"35 5","pages":"Pages 846-857"},"PeriodicalIF":7.3,"publicationDate":"2024-10-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145050674","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}
Pub Date : 2024-10-04DOI: 10.1016/j.pedsph.2024.10.001
Yujuan LIU , Yuqi CHEN , Xiuyun LIU , Siyuan CAI , Jiahui YUAN , Lingying XU , Yu WANG , Xu ZHAO , Xiaoyuan YAN
Soil mineralized nitrogen (N) is a vital component of soil N supply capacity and an important N source for rice growth. Unveiling N mineralization (Nm) process characteristics and developing a simple and effective approach to evaluate soil Nm are imperative to guide N fertilizer application and enhance its efficiency in various paddy soils with different physicochemical properties. Soil properties are important driving factors contributing to soil Nm differences and must be considered to achieve effective N management. Nevertheless, discrepancies in Nm capacity and other key influencing factors remain uncertain. To address this knowledge gap, this study collected 52 paddy soil samples from Taihu Lake Basin, China, which possess vastly different physicochemical properties. The samples were subjected to a 112-d submerged anaerobic incubation experiment at a constant temperature to obtain the soil Nm characteristics. Reaction kinetics models, including one-pool exponential model, two-pool exponential model, and effective cumulative temperature model, were employed to compare characteristic differences between Nm potential (Nmp) and short-term accumulated mineralized N (Amn) processes in relation to soil physicochemical properties. Based on these relationships, simplified Nmp prediction methods for paddy soils were established. The results revealed that the Nmp values were 145.18, 88.64, and 21.03 mg kg-1 in paddy soils with pH < 6.50, 6.50 ≤ pH ≤ 7.50, and pH > 7.50, respectively. Significantly, short-term Amn at day 14 showed a good correlation (P < 0.01) with Nmp (R2 = 0.94), indicating that the prevailing short-term incubation experiment is an acceptable marker for Nmp. Moreover, Nmp correlated well with the ultraviolet absorbance value at 260 nm based on NaHCO3 extraction (Na260), further streamlining the Nmp estimation method. The incorporation of easily obtainable soil properties, including pH, total N (TN), and the ratio of total organic carbon to TN (C/N), alongside Na260 for Nmp evaluation allowed the multiple regression model, Nmp = 58.62 × TN - 23.18 × pH + 13.08 × C/N + 86.96 × Na260, to achieve a high prediction accuracy (R2 = 0.95). The reliability of this prediction was further validated with published data of paddy soils in the same region and other rice regions, demonstrating the regional applicability and prospects of this model. This study underscored the roles of soil properties in Nm characteristics and mechanisms and established a site-specific prediction model based on rapid extractions and edaphic properties of paddy soils, paving the way for developing rapid and precise Nm prediction models.
{"title":"Efficiency-enhancing methods for predicting nitrogen mineralization characteristics in paddy soils using soil properties and rapid soil extractions","authors":"Yujuan LIU , Yuqi CHEN , Xiuyun LIU , Siyuan CAI , Jiahui YUAN , Lingying XU , Yu WANG , Xu ZHAO , Xiaoyuan YAN","doi":"10.1016/j.pedsph.2024.10.001","DOIUrl":"10.1016/j.pedsph.2024.10.001","url":null,"abstract":"<div><div>Soil mineralized nitrogen (N) is a vital component of soil N supply capacity and an important N source for rice growth. Unveiling N mineralization (Nm) process characteristics and developing a simple and effective approach to evaluate soil Nm are imperative to guide N fertilizer application and enhance its efficiency in various paddy soils with different physicochemical properties. Soil properties are important driving factors contributing to soil Nm differences and must be considered to achieve effective N management. Nevertheless, discrepancies in Nm capacity and other key influencing factors remain uncertain. To address this knowledge gap, this study collected 52 paddy soil samples from Taihu Lake Basin, China, which possess vastly different physicochemical properties. The samples were subjected to a 112-d submerged anaerobic incubation experiment at a constant temperature to obtain the soil Nm characteristics. Reaction kinetics models, including one-pool exponential model, two-pool exponential model, and effective cumulative temperature model, were employed to compare characteristic differences between Nm potential (Nmp) and short-term accumulated mineralized N (Amn) processes in relation to soil physicochemical properties. Based on these relationships, simplified Nmp prediction methods for paddy soils were established. The results revealed that the Nmp values were 145.18, 88.64, and 21.03 mg kg<sup>-1</sup> in paddy soils with pH < 6.50, 6.50 ≤ pH ≤ 7.50, and pH > 7.50, respectively. Significantly, short-term Amn at day 14 showed a good correlation (<em>P</em> < 0.01) with Nmp (<em>R</em><sup>2</sup> = 0.94), indicating that the prevailing short-term incubation experiment is an acceptable marker for Nmp. Moreover, Nmp correlated well with the ultraviolet absorbance value at 260 nm based on NaHCO<sub>3</sub> extraction (Na260), further streamlining the Nmp estimation method. The incorporation of easily obtainable soil properties, including pH, total N (TN), and the ratio of total organic carbon to TN (C/N), alongside Na260 for Nmp evaluation allowed the multiple regression model, Nmp = 58.62 × TN - 23.18 × pH + 13.08 × C/N + 86.96 × Na260, to achieve a high prediction accuracy (<em>R</em><sup>2</sup> = 0.95). The reliability of this prediction was further validated with published data of paddy soils in the same region and other rice regions, demonstrating the regional applicability and prospects of this model. This study underscored the roles of soil properties in Nm characteristics and mechanisms and established a site-specific prediction model based on rapid extractions and edaphic properties of paddy soils, paving the way for developing rapid and precise Nm prediction models.</div></div>","PeriodicalId":49709,"journal":{"name":"Pedosphere","volume":"35 6","pages":"Pages 1054-1064"},"PeriodicalIF":7.3,"publicationDate":"2024-10-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145555059","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}
Pub Date : 2024-09-24DOI: 10.1016/j.pedsph.2024.09.007
Qizhong XIONG , Shaojie WANG , Xuxiang CHEN , Jianyuan JING , Yonglin JIN , Hongying LI , Chaochun ZHANG , Yuji JIANG , Xinxin YE
Humic acid (HA) prevents phosphorus (P) fixation and promotes P absorption by plants, thereby effectively increasing the efficiency of phosphate fertiliser utilisation. Although nano-sized HA (NHA) might exhibit superior effects compared to conventional-sized HA (CHA), evidence is limited. Therefore, we investigated the effects of CHA and NHA applied with conventional phosphate fertiliser (CHA+CP and NHA+CP, respectively) on chilli pepper biomass, P uptake, and root morphology, as well as soil available P content, and evaluated CHA, NHA, and their residues in the soil for differences in specific surface area, functional groups, molecular weight distribution, and surface elemental compositions in a 40-d pot cultivation experiment. Results showed that the CHA+CP and NHA+CP treatments significantly increased pepper biomass and P uptake by 15.2%–24.7% and 37.9%–49.0%, respectively, compared to the conventional phosphate fertiliser applied alone (CP) treatment (P < 0.05), with NHA exhibiting a greater effect than CHA. This was primarily related to NHA's stronger ability to reduce P fixation than that of CHA. Soil available P content significantly increased by 5.8% and 3.8% in the NHA+CP treatment compared with CHA+CP on days 22 and 40 of cultivation, respectively (P < 0.05). Nano-sized HA contained more small-molecule components and carboxyl groups than CHA, which can more stimulate root elongation and thus promote root P uptake. Furthermore, fertiliser-derived P gradually entered the structure of CHA or NHA during cultivation. The presence of more plant-available forms (e.g., H2