Soil Aggregate Stability and Associated Structure
Affected by Long-Term Fertilization for
a Loessial Soil on the Loess Plateau of China

Tuo, Dengfeng; Xu, Mingxiang; Li, Qiang; Liu, Sihan

doi:10.15244/pjoes/66716

Cited by 12 publications

(6 citation statements)

References 31 publications

(45 reference statements)

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Birkás et al [26] stated that the decrease of large crumbs in ploughed and disk-tilled soils may be permanent and suggested revaluating traditional tillage interventions. Beyond this, Tuo et al [27] indicated the improvement Note: R: rainy, D: dry, RD: rainy and dry, DR: dry and rainy, L: loosening, P: ploughing, T, ST: tine tillage, D: disk tillage, DD: direct drilling. Means followed by similar letters are not significantly different as statistically (p<0.05).…”

Section: Crop Residuesmentioning

confidence: 99%

The Effects of Tillage-Induced Soil Disturbance on Soil Quality

Đekemati¹,

Bogunović²,

Kisić³

et al. 2019

Pol. J. Environ. Stud.

View full text Add to dashboard Cite

Specification of the tillage trends (conventional, reduced, conservation etc.) and endeavours (e.g., energy saving, sustainable) has been made possible in the last 50-60 years. Soil protection has become the main requirement in the soil conservation trend contributing to the implementation of the long-term defence strategy [1]. In the relevant experiments, control often involves conventional tillage as a treatment with negative impact on soil compared with treatments that present a possible solution as direct drilling, mulch-till, etc. [2]. Nowadays soil tillage aim has been changed. The minimal soil disturbance may be replaced with soil intervention to the required extent that is reinforced by the use of several protection techniques, e.g., surface cover, surface layer consolidation, loosened layer adaptable to the water conservation and organic matter protection. Today, soil health evaluates compliance of the tillage systems and appropriate factors are applied that could be evaluated anywhere: crumb ratio, soil moisture range

show abstract

Section: Crop Residuesmentioning

confidence: 99%

The Effects of Tillage-Induced Soil Disturbance on Soil Quality

Đekemati¹,

Bogunović²,

Kisić³

et al. 2019

Pol. J. Environ. Stud.

View full text Add to dashboard Cite

show abstract

“…On the other hand, the particle size distribution of soil and the resistance of soil aggregates against disrupting by water are determining soil fertility and productivity.Therefore soil structural quality might be investigated by the percentageof water stable aggregates. Out of the various index of structure improvement,measurement Mean Weight Diameter (MWD) is an important index (Boogar et al, 2014;Tagar et al, 2015 andTuo et al, 2017). The most recent studies confirmed that soil improvement by addition of the organic materials reducesthe deterioration of geometric arrangement of soil aggregates (Bashir et al, 2016;Vidal-Beaudet et al, 2018;Farid et al, 2014;Tuo et al, 2017;Gülser et al, 2015 andZhang et al, 2014).…”

Section: Introductionmentioning

confidence: 99%

“…Out of the various index of structure improvement,measurement Mean Weight Diameter (MWD) is an important index (Boogar et al, 2014;Tagar et al, 2015 andTuo et al, 2017). The most recent studies confirmed that soil improvement by addition of the organic materials reducesthe deterioration of geometric arrangement of soil aggregates (Bashir et al, 2016;Vidal-Beaudet et al, 2018;Farid et al, 2014;Tuo et al, 2017;Gülser et al, 2015 andZhang et al, 2014). An important positive relationship between soil organic carbon content and the increase of MWD was reported (Bashir et al, 2016;Gülser et al, 2015 andZhang et al, 2014).…”

Section: Introductionmentioning

confidence: 99%

Effect of sugarcane pulp extract on ameliorating soil structure stability

El‐Halim

2019

Egypt.J. Soil Sci.

View full text Add to dashboard Cite

“…Loess deposits, formed in a dry climate during the Quaternary period, consist of porous yellow powdery soil with columnar joints [1][2][3]. Loess deposits have a metastable structure made up of loose particles, a significant amount of macroscopic pores [4][5], low shear strength, and great compressibility with relatively small changes in stress [6][7][8].…”

Section: Introductionmentioning

confidence: 99%

Multi-Index Classification Model for Loess Deposits Based on Rough Set and BP Neural Network

Zhang¹,

Xue²,

Qiu³

et al. 2018

Pol. J. Environ. Stud.

View full text Add to dashboard Cite

Classifying loess deposits is an important process for selecting support form and construction methods for tunnels. An accurate evaluation of loess deposits is a necessary prerequisite to control deformation, save cost, and improve construction efficiency. In this paper, a neural network model with an evaluation system consisting of physical and mechanical indices of loess is proposed to realize intelligent classification of loess deposits for tunneling. The influence of water content, natural density, cohesion, internal friction angle, elastic modulus, and Poisson ratio on stability level of loess is analyzed by rough set theory based on statistical data of borehole samples. Results show that the affect of natural density is negligible. Then other indicators such as input nodes and the BP neural network model are formed after learning statistical samples and being applied to the project for testing. Finally, the output of the model is consistent with the actual. This study provides a multi-index model for evaluating loess deposits surrounding tunnels and provides a reference for future research.

show abstract

Soil Aggregate Stability and Associated Structure Affected by Long-Term Fertilization for a Loessial Soil on the Loess Plateau of China

Cited by 12 publications

References 31 publications

The Effects of Tillage-Induced Soil Disturbance on Soil Quality

The Effects of Tillage-Induced Soil Disturbance on Soil Quality

Effect of sugarcane pulp extract on ameliorating soil structure stability

Multi-Index Classification Model for Loess Deposits Based on Rough Set and BP Neural Network

Contact Info

Product

Resources

About