An improved approach for estimating root elongation rate from penetrometer resistance and macropore porosity on a silty clay loam soil

IF 6.1 1区 农林科学 Q1 SOIL SCIENCE Soil & Tillage Research Pub Date : 2025-01-02 DOI:10.1016/j.still.2024.106439
Shijie Qin , Lingling Liu , W. Richard Whalley , Hu Zhou , Tusheng Ren , Weida Gao
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Abstract

The role of macropores is often ignored in classical models for predicting root elongation using soil penetrometer resistance (PR). In this study, we propose an empirical model that includes the effects of macropores and PR on maize (Zea mays L.) root elongation rate (RER) and compare its performance with three previous models. Undisturbed soil cores were collected from an 11-yr tillage experiment (including no-tillage and conventional tillage systems) in Northeast China. For each soil core, soil bulk density (BD), penetrometer resistance (PR), air-filled porosity (AFP), and pore size distribution from water release characteristics, and RER of maize seedlings at a matric potential of −20 kPa were determined. Results showed that RER negatively correlated with BD, PR, and the volume of ε<6 (the volume of pores less than 6 µm), but it was positively correlated with the AFP and ε>60 (the volume of pores greater than 60 µm) (P < 0.001). RER exhibited a 50 % reduction when PR was over 1.3 MPa or AFP was below 10 %. Additionally, RER became less sensitive to PR change at PR values greater than 1.3 MPa. The new RER model, which accounts for the influences of PR and macroporosity (> 60 µm), performed better in predicting RER than the previous models, with a root mean square error (RMSE) of 0.36. The new model is useful in simulating maize root distribution under field conditions.
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根据穿透计阻力和大孔隙度估算淤泥质粘壤土根系伸长率的改进方法
在利用土壤穿透电阻(PR)预测根系伸长的经典模型中,大孔隙的作用往往被忽略。本研究提出了一个包含大孔和PR对玉米根系伸长率影响的实证模型,并与之前的三个模型进行了比较。在东北地区进行了为期11年的免耕和常规耕作试验,收集了原状土芯。测定了各土芯土壤容重(BD)、渗透电阻(PR)、充气孔隙率(AFP)、水分释放特征的孔径分布以及基质电位为−20 kPa时玉米幼苗的RER。结果表明,RER与BD、PR、ε>;6体积(孔隙体积小于6 µm)呈负相关,与AFP、ε>;60(孔隙体积大于60 µm)呈正相关(P <; 0.001)。当PR超过1.3 MPa或AFP低于10 %时,RER降低50 %。PR值大于1.3 MPa时,RER对PR变化的敏感性降低。新的RER模型考虑了PR和宏观孔隙度(>;60 µm),在预测RER方面比以前的模型表现更好,均方根误差(RMSE)为0.36。该模型可用于田间条件下玉米根系分布的模拟。
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来源期刊
Soil & Tillage Research
Soil & Tillage Research 农林科学-土壤科学
CiteScore
13.00
自引率
6.20%
发文量
266
审稿时长
5 months
期刊介绍: Soil & Tillage Research examines the physical, chemical and biological changes in the soil caused by tillage and field traffic. Manuscripts will be considered on aspects of soil science, physics, technology, mechanization and applied engineering for a sustainable balance among productivity, environmental quality and profitability. The following are examples of suitable topics within the scope of the journal of Soil and Tillage Research: The agricultural and biosystems engineering associated with tillage (including no-tillage, reduced-tillage and direct drilling), irrigation and drainage, crops and crop rotations, fertilization, rehabilitation of mine spoils and processes used to modify soils. Soil change effects on establishment and yield of crops, growth of plants and roots, structure and erosion of soil, cycling of carbon and nutrients, greenhouse gas emissions, leaching, runoff and other processes that affect environmental quality. Characterization or modeling of tillage and field traffic responses, soil, climate, or topographic effects, soil deformation processes, tillage tools, traction devices, energy requirements, economics, surface and subsurface water quality effects, tillage effects on weed, pest and disease control, and their interactions.
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