Long-term biochar addition significantly decreases rice rhizosphere available phosphorus and its release risk to the environment
文献类型： 外文期刊
作者： Chen, Hao 1 ; Yuan, Jiahui 5 ; Chen, Guanglei 1 ; Zhao, Xu 1 ; Wang, Shenqiang 1 ; Wang, Dengjun 3 ; Wang, Lei 4 ; Wang, Yujun 1 ; Wang, Yu 1 ;
作者机构： 1.Chinese Acad Sci, Inst Soil Sci, State Key Lab Soil & Sustainable Agr, Changshu Natl Agroecosyst Observat & Res Stn, Nanjing 210008, Peoples R China
2.Univ Chinese Acad Sci, Beijing 10049, Peoples R China
3.Auburn Univ, Sch Fisheries Aquaculture & Aquat Sci, Auburn, AL 36849 USA
4.Minist Ecol & Environm, Nanjing Inst Environm Sci, Nanjing 210042, Peoples R China
5.Heilongjiang Acad Agr Sci, Heilongjiang Acad Black Soils Conservat & Utiliza, Key Lab Soil Environm & Plant Nutr Heilongjiang P, Harbin 150086, Peoples R China
关键词： Biochar; Rice rhizosphere; Phosphorus availability; DGT; DIFS; SPRRI
期刊名称：BIOCHAR （ 影响因子：11.452； 五年影响因子：11.452 ）
ISSN： 2524-7972
年卷期： 2022 年 4 卷 1 期
页码：
收录情况： SCI
摘要： Phosphorus (P) availability, diffusion, and resupply processes can be altered by biochar addition in flooded rice rhizosphere, which controls the risk of P release to the environment. However, there are few in-situ investigations of these rhizospheric processes and effects.To explore the effects of biochar addition on soil P availability, high-resolution dialysis (HR-Peeper), diffusive gradients in thin films (DGT), and zymography techniques were used to provide direct evidence in the rice rhizosphere at the sub-millimeter scale. Long-term (9-years) field and greenhouse pot experiments demonstrated that biochar addition notably decreased the soluble/labile P and Fe concentrations in rice rhizosphere (vs. no biochar addition; CK) based on the results of Peeper, DGT, and two-dimensional imaging of labile P fluxes. DGT-induced fluxes in the soil/sediment (DIFS) model and sediment P release risk index (SPRRI) further indicated that biochar addition decreased the diffusion and resupply capacity of P from soil solid to the solution, thereby decreasing P release risk to the environment. These processes were dominated by Fe redox cycling and the hydrolysis of Al (hydro)oxides that greatly increased the unavailable P (Ca-P and residual-P). Additionally, greenhouse pot experiments (without additional biochar) showed that the previous long-term biochar addition significantly increased soil phosphatase activity, due to an adaptive-enhancing response to P decrease in the rhizosphere zone. The in-situ study on the biogeochemical reactions of P in the rice rhizosphere may provide a new and direct perspective to better evaluate the biochar addition and potential benefits to agricultural soils.
- 相关文献
作者其他论文 更多>>
-
Mechanistic insights into curdlan-induced fibrous structure formation in soybean protein and wheat gluten extrudates via dead-stop operation and rheological characterization
作者：Zhang, Kaili;Guo, Xiaohang;Sun, Zhouliang;Wu, Xinghui;Zheng, Huanyu;Li, Dan;Liu, Danyi;Chen, Hao;Zheng, Huanyu;Gao, Yang;Chiu, Ivy;Yang, Tianxi;Zheng, Huanyu
关键词：Soybean protein isolate; Wheat protein; Curdlan; Rheological simulation; Protein conformation; High-moisture extrusion; Abbreviations
-
Soybean yield estimation and lodging classification based on UAV multi-source data and self-supervised contrastive learning
作者：Zhou, Longyu;Chen, Haochong;Feng, Puyu;Ma, Yuntao;Zhang, Yong;Wang, Lei;Li, Mingxue;Sun, Xuhong;Sun, Guangyao;Yan, Long;Qiu, Lijuan;Li, Yinghui
关键词：Remote sensing; 3D reconstruction; Point cloud; Multispectral; Structure from motion
-
Bridging the gap between hyperspectral imaging and crop breeding: soybean yield prediction and lodging classification with prototype contrastive learning
作者：Sun, Guangyao;Han, Shiteng;Xu, Yun;Ma, Yuntao;Zhang, Yong;Wang, Lei;Zhou, Longyu;Fei, Shuaipeng;Xiao, Shunfu;Ma, Yuntao;Yan, Long;Che, Yingpu;Li, Yinghui;Qiu, Lijuan
关键词：Unmanned Aerial Vehicle; Deep Learning; Resnet; Soybean Yield and Lodging Prediction
-
Soybean Lodging Classification and Yield Prediction Using Multimodal UAV Data Fusion and Deep Learning
作者：Xu, Xingmei;Fang, Yushi;Yu, Helong;Ma, Yuntao;Sun, Guangyao;Guo, Yan;Ma, Yuntao;Zhang, Yong;Wang, Lei;Chen, Chen;Ren, Lisuo;Meng, Lei;Li, Yinghui;Qiu, Lijuan
关键词：UAV; deep learning; lodging classification; yield; data fusion
-
Multi-response optimization and validation analysis in the detection of acetochlor and butachlor by HPLC based on D-optimal design methodology
作者：Wang, Yu;Yang, Yang;Zhang, Si;Wang, Bohan;Chi, Chao;Su, Junfeng
关键词：Acetochlor; Butachlor; HPLC; D -optimal design; Multi-response optimization
-
Widely Targeted Metabolomics Reveals Metabolic Divergence in Abutilon theophrasti Populations Under Glufosinate Ammonium Treatment
作者：Guo, Xiaotong;Wang, Yu;Guo, Yulian;Luo, Chan;Cong, Keqiang
关键词：
Abutilon theophrasti ; glufosinate ammonium; widely targeted metabolomics; metabolic pathways -
Loss of phytochromobilin synthase activity leads to larger seeds with higher protein content in soybean
作者：Su, Xin;Han, Ying-Peng;Su, Xin;Hong, Hui-Long;Qiu, Li-juan;Wang, Hao-Rang;Zhang, Yong;Sun, Xu-hong;Wang, Lei;Song, Ji-Ling;Yang, Meng-Ping;Yang, Xing-Yong
关键词：GmYGL2; QTL; Seed size; Seed weight; Soybean
