Straw Returning Methods Affects Macro-Aggregate Content and Organic Matter Content in Black Soils: Meta-Analysis and Comprehensive Validation DOI Creative Commons

Kangmeng Liu,

Yu Hu, Yumei Li

et al.

Plants, Journal Year: 2024, Volume and Issue: 13(23), P. 3284 - 3284

Published: Nov. 22, 2024

Straw returning into the soil is a crucial method for boosting carbon levels. To research influence of straw return practices on aggregates and organic matter content within farmlands Northeast Black Soil Region, objective was to clarify varying impacts these enhancement. In this study, 89 pertinent papers were acquired through rigorous literature compilation. Meta-analysis linear regression employed analyze field methods, their duration water-stable aggregates, content. Furthermore, study delved trends in variation relation mean annual temperature precipitation. Our results showed that straw-returning has been discovered predominantly bolster by altering proportions macro-aggregate Specifically, incorporation led notable enhancement macro-aggregates (57.14%) micro-aggregates (20.29%), addition augmenting macro-, small, micro-aggregate 13.22%, 16.43%, 15.08%, respectively. The most significant increase large agglomerates witnessed over period more than 5 years (115.17%), as well shallow mixing (87.32%). Meanwhile, highest recorded (12.60%) deep (8.72%). validation experiment, seven significantly boosted across various layers, ranging from 11.78% 116.21%. among climatic factors, primary determinants disparities outcomes average lower precipitation higher temperatures conducive formation

Language: Английский

Effects of management of plastic and straw mulching management on crop yield and soil salinity in saline-alkaline soils of China: A meta-analysis DOI Creative Commons
Song Ying,

Jineng Sun,

Mingjun Cai

et al.

Agricultural Water Management, Journal Year: 2025, Volume and Issue: 308, P. 109309 - 109309

Published: Jan. 16, 2025

Language: Английский

Citations

1
Soil organic carbon accumulation mechanisms in soil amended with straw and biochar: entombing effect or biochemical protection? DOI Creative Commons

Yuhan Yuan,

Yao Liang,

Hongguang Cai

et al.

Biochar, Journal Year: 2025, Volume and Issue: 7(1)

Published: Feb. 12, 2025

Abstract Converting crop residues into biochar and subsequently incorporating it soils is a promising strategy to improve carbon sequestration in agroecosystems. However, differences the potential mechanisms for soil organic (SOC) accumulation between its feedstock materials remain unclear. This study performed nine-year field experiment involving four treatments Mollisol: mineral fertilizers alone combined with maize straw or biochar, control without amendments. The main objectives of this were assess how incorporation influence SOC content, chemical composition, microbial necromass (MNC) community characteristics. Compared alone, significantly ( P < 0.05) increased while (40.5% increase) had more pronounced effects than (23.7% increase). Similarly, both MNC content boosted biomass, but impact did biochar. Additionally, markedly aromaticity by 26.6% 0.05), reduced 2.85% > 0.05). Fungi, rather bacteria, played crucial role increasing through their inputs under incorporation. Our results demonstrated that enhanced primarily entombing effect necromass, biochemical protection from recalcitrant aromatic carbon. present findings provide valuable insight practices lead maximize sequestration. Graphical

Language: Английский

Citations

1
Predicting and Mapping of Soil Organic Matter with Machine Learning in the Black Soil Region of the Southern Northeast Plain of China DOI Creative Commons
Yiyang Li, Gang Yao, Shuangyi Li

et al.

Agronomy, Journal Year: 2025, Volume and Issue: 15(3), P. 533 - 533

Published: Feb. 22, 2025

The estimation of soil organic matter (SOM) content is essential for understanding the chemical, physical, and biological functions soil. It also an important attribute reflecting quality black In this study, machine learning algorithms support vector (SVM), neural network (NN), decision tree (DT), random forest (RF), extreme gradient boosting (GBM), generalized linear model (GLM) were used to study accurate prediction SOM in Tieling County, City, Liaoning Province, China. models trained by using 1554 surface samples 19 auxiliary variables. Recursive feature elimination was as a selection method identify effective results showed that Normalized Difference Vegetation Index (NDVI) elevation key Based on 10-fold cross-validation, RF had highest accuracy. terms accuracy, coefficient determination 0.77, root mean square error 2.85. average 20.15 g/kg. spatial distribution shows higher concentrated east west, while lower found middle. cultivated land than land.

Language: Английский

Citations

1
Increased loss rate of straw-derived nitrogen following the woody peat addition is more significant in saline than in non-saline paddy soil DOI
Qingxia Wang,

Meiqi Chen,

Jisheng Xu

et al.

Applied Soil Ecology, Journal Year: 2025, Volume and Issue: 207, P. 105922 - 105922

Published: Feb. 11, 2025

Language: Английский

Citations

0
Spatiotemporal Effects of Soil and Water Conservation Measures on Soil Organic Carbon: A Meta-Analysis in China DOI

Jianxian Zhang,

Yonge Zhang,

Xiao Ming Zhang

et al.

Published: Jan. 1, 2025

Language: Английский

Citations

0
Spatiotemporal Effects of Soil and Water Conservation Measures on Soil Organic Carbon: A Meta-Analysis in China DOI

Jianxian Zhang,

Yonge Zhang,

Xiao Ming Zhang

et al.

Published: Jan. 1, 2025

Language: Английский

Citations

0
Experimental Study on Straw Rotting and Returning Mode in the Cold Region of Northeast China DOI Creative Commons
Jinwu Wang, Changyu Wang,

Yanan Xu

et al.

Agronomy, Journal Year: 2025, Volume and Issue: 15(3), P. 651 - 651

Published: March 5, 2025

The delayed decomposition of rice straw in Northeast China’s cold regions (winter temperatures < −20 °C) due to insufficient accumulated temperature requires innovative solutions. This study developed a synergistic approach combining microbial with mechanical burial. Pre-experiments identified optimal parameters for the liquid decomposing agent (100 mg/mL concentration, 6 g/m application rate). A novel combined machine was engineered adjustable parameters: knife roller speed (200–300 r/min), burial depth (15–25 cm), and ground clearance (80–120 mm). Field trials demonstrated 91.3% return rate under optimized settings (220 r/min, 100 mm clearance, 1.7 m/s speed), representing 28.5% improvement over conventional methods. Spring enhanced 83.6% within 60 days (vs. 67.2% autumn), significantly increasing soil organic matter available nitrogen. integrated technology achieved 1.5 hm2/h operational efficiency, meeting regional agronomic demands. provides replicable model cold-region utilization, aligning carbon sequestration goals black conservation.

Language: Английский

Citations

0
Improved estimation of soil organic carbon stock in subtropical cropland of Southern China based on digital soil mapping and multi-sources data DOI Creative Commons
Bifeng Hu, Qian Zhu, Modian Xie

et al.

Geo-spatial Information Science, Journal Year: 2025, Volume and Issue: unknown, P. 1 - 24

Published: March 12, 2025

Language: Английский

Citations

0
Sustainability ranking of straw resource utilization technologies: Life cycle assessment model based on IDEMATEL-IVIKOR DOI
Tianjiao Hou, Zhanwu Wang, Heng Wang

et al.

Energy, Journal Year: 2025, Volume and Issue: unknown, P. 135683 - 135683

Published: March 1, 2025

Language: Английский

Citations

0
Effects of Straw Returning on Drought Tolerance and Growth Status of Maize Under Drought Stress in the Cold and Arid Regions of Northern China DOI Creative Commons
Yan Li, Jiying Sun, Jian Liu

et al.

Agronomy, Journal Year: 2024, Volume and Issue: 14(11), P. 2580 - 2580

Published: Nov. 1, 2024

Crop yield losses have escalated worldwide due to extreme and/or prolonged drought periods as well insufficient irrigation. In the cold and arid regions of northern China, difficulty straw decomposition is a regional problem, which undoubtedly aggravated by increasingly serious drought. Thus, combination reasonable grain feed rotation mode tillage returning an effective measure solve this problem. This study set up forage (in first year, it used for production, returned field after grains are harvested; when entire plant harvested in second feed) two treatments no land characterized different water degresses (include stress normal irrigation). To clarify impact on soil improvement tolerance various maize varieties, effects agronomic traits, hormones, osmotic adjustment substance content, whole fresh weight, dry weight six varieties (MC703, A2636, DK 159, ZQ 1, 303 × 178, ZJ 330) under were analyzed. The data showed following: (1) After returning, moisture content increased 3.55–14.70% bulk density decreased 0.73–5.23% treatment, physical condition became closer ideal value. (2) height, ear stem diameter, treatment 0.95–7.70%, 4.70–15.71%, 0.31–9.33%, 2.67–36.23%, 3.72–38.60%, respectively. (3) abscisic acid, ethylene, soluble sugar, protein leaves 7.92–21.42%, 8.03–3.37%, 0.63–22.98%, 2.37–9.17%, Straw significantly alleviated damage caused growth development maize, promoted treatment. results provide theoretical basis high stable crops areas.

Language: Английский

Citations

2