Simulation of canola seedling emergence dynamics under different soil compaction levels using the discrete element method (DEM)

油菜 苗木 压实 土壤压实 土壤科学 环境科学 土壤水分 土壤结构 离散元法 农学 岩土工程 地质学 物理 生物 机械
作者
Hao Gong,Ying Chen,Shuanglong Wu,Zhenyu Tang,Chuang Liu,Zhiqi Wang,Dengbin Fu,Yuhao Zhou,Long Qi
出处
期刊:Soil & Tillage Research [Elsevier]
卷期号:223: 105461-105461 被引量:13
标识
DOI:10.1016/j.still.2022.105461
摘要

Understanding the dynamics during the seedling emergence process has important implications in creating favourable soil conditions for improved plant emergence. In this study, a model was developed using the discrete element method (DEM). The model simulated the emergence process of a canola seedling under six different soil compaction levels (L1 to L6). In the model, soil was represented by 2-mm spherical particles with bonds between particles. The bond parameters were calibrated using experimental data. The calibrated model was used to simulate the dynamics of the emergence process under different soil compaction levels. Depending on the soil compaction level, simulation results show that the calibrated bond normal stiffness is in the range of 3.10e+ 10–5e+ 11 N·m−3. The emerged canola seedling exerted great contact forces to the surrounding soil particles, which produced a dynamic influencing zone in the soil. The influencing zone was greater at higher soil compaction levels. The predicted canola emergence force (the total contact force between seedling and soil particles in the vertical direction) increased with the soil compaction level. The average emergence forces were 4.04, 5.81, 7.59, 8.18, 8.43, and 9.36 N for L1 to L6, respectively. The soil compaction levels (except for L1) were excessive for canola production, as they resulted in unacceptably low emergence rates. The study advances our understanding of the dynamics in the plant emergence process in a micro-scale soil environment.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
更新
大幅提高文件上传限制,最高150M (2024-4-1)

科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
脑洞疼应助结实的孤容采纳,获得10
1秒前
2秒前
SciGPT应助王翎力采纳,获得10
2秒前
汉堡包应助想吃栗子采纳,获得10
5秒前
6秒前
7秒前
7秒前
9秒前
11秒前
11秒前
YYL完成签到,获得积分10
12秒前
濠哥妈咪发布了新的文献求助10
12秒前
丘比特应助科研通管家采纳,获得10
13秒前
NexusExplorer应助科研通管家采纳,获得10
13秒前
Owen应助科研通管家采纳,获得10
13秒前
英俊的铭应助科研通管家采纳,获得10
13秒前
13秒前
13秒前
佳佳发布了新的文献求助10
13秒前
14秒前
科研小菜完成签到,获得积分10
15秒前
Cecilia完成签到,获得积分10
17秒前
17秒前
17秒前
上官若男应助sci_zt采纳,获得10
19秒前
20秒前
无限的老九完成签到 ,获得积分10
21秒前
21秒前
优秀不愁发布了新的文献求助10
21秒前
22秒前
温柔乐蕊完成签到,获得积分10
24秒前
24秒前
OhoOu完成签到 ,获得积分10
25秒前
优秀不愁完成签到,获得积分10
26秒前
26秒前
科研通AI2S应助yyl采纳,获得10
26秒前
chuanzhi完成签到,获得积分10
27秒前
29秒前
30秒前
30秒前
高分求助中
Sustainability in Tides Chemistry 2000
Bayesian Models of Cognition:Reverse Engineering the Mind 800
Essentials of thematic analysis 700
A Dissection Guide & Atlas to the Rabbit 600
Very-high-order BVD Schemes Using β-variable THINC Method 568
Внешняя политика КНР: о сущности внешнеполитического курса современного китайского руководства 500
Revolution und Konterrevolution in China [by A. Losowsky] 500
热门求助领域 (近24小时)
化学 医学 生物 材料科学 工程类 有机化学 生物化学 物理 内科学 纳米技术 计算机科学 化学工程 复合材料 基因 遗传学 催化作用 物理化学 免疫学 量子力学 细胞生物学
热门帖子
关注 科研通微信公众号,转发送积分 3123015
求助须知:如何正确求助?哪些是违规求助? 2773481
关于积分的说明 7717912
捐赠科研通 2429036
什么是DOI,文献DOI怎么找? 1290120
科研通“疑难数据库(出版商)”最低求助积分说明 621705
版权声明 600220