Simulation of Root Growth

Jones, Charles; Bland, William L.; Ritchie, J. T.; Williams, J. R.

doi:10.2134/agronmonogr31.c6

Cited by 17 publications

(33 citation statements)

References 58 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…We first describe the root growth model of Jones et al (1991) and its implementation into the HYDRUS software packages. Then, we describe the aeroponic root growth experiment, which was used to validate the implemented root growth and temperature stress models.…”

Section: Methodsmentioning

confidence: 99%

“…First, the modeling approach developed by Jones et al (1991) was adapted and implemented into the HYDRUS software packages. The original modeling approach by Jones et al (1991) is a layered root growth model that needs to be coupled to a crop growth model, which provides it with the daily allocation of dry matter to the root system, and that furthermore needs information about the soil profile characteristics influencing root growth. To overcome the need for input variables provided by a crop model, the modeling approach is instead combined with time-dependent root growth functions.…”

Section: Core Ideasmentioning

confidence: 99%

“…Root Growth Model of Jones et al (1991) Jones et al (1991 proposed a root growth model that simulates daily root growth in a layered soil as a function of different environmental conditions that are characterized by growth stress factors. Root growth and the development of root length density depend on environmental stress factors that range from 0 (no growth) to 1 (no stress).…”

Section: Modeling Root Growth As a Function Of Environmental Stressesmentioning

confidence: 99%

“…Various attempts have been made in the past to develop root growth models that account for the influence of various environmental factors such as temperature Williams et al, 1989;Jones et al, 1991;Kaspar and Bland, 1992;Bingham and Wu, 2011), aeration (Williams et al, 1989;Jones et al, 1991;Asseng et al, 1997), soil water availability (Jones et al, 1991;Clausnitzer and Hopmans, 1994;Somma et al, 1998;Tsutsumi et al, 2003;Leitner et al, 2010), and soil strength (Dexter, 1986;Williams et al, 1989;Jones et al, 1991;Grant, 1993;Asseng et al, 1997). Additional studies evaluating the impact of various environmental factors on root growth were listed by Wu et al (2005).…”

mentioning

confidence: 99%

“…Existing models are either complex, three-dimensional root architecture models (Clausnitzer and Hopmans, 1994;Somma et al, 1998;Leitner et al, 2010;Bingham and Wu, 2011;Couvreur et al, 2012) or simpler root growth models that are implemented within more complex models such as EPIC (Williams et al, 1989) or CERES (Robertson et al, 1993). The model by Jones et al (1991) considers the influence of various environmental factors on root growth in terms of the root length…”

mentioning

confidence: 99%

See 4 more Smart Citations

Implementation and Application of a Root Growth Module in HYDRUS

Hartmann¹,

Šimůnek

Aidoo

et al. 2017

Vadose Zone Journal

View full text Add to dashboard Cite

A root growth module was adapted and implemented into the HYDRUS software packages to model root growth as a function of different environmental stresses. The model assumes that various environmental factors, as well as soil hydraulic properties, can influence root development under suboptimal conditions. The implementation of growth and stress functions in the HYDRUS software opens the opportunity to derive parameters of these functions from laboratory or field experimental data using inverse modeling. One of the most important environmental factors influencing root growth is soil temperature. The effects of temperature in the root growth module was the first part of the newly developed HYDRUS add-on to be validated by comparing modeling results with measured rooting depths in an aeroponic experimental system with bell pepper (Capsicum annuum L.). The experiment was conducted at root zone temperatures of 7, 17, and 27°C. Inverse optimization was used to estimate a single set of parameters that was found to well reproduce measured time series of rooting depths for all temperature treatments. A sensitivity analysis showed that parameters such as the maximum rooting depth and cardinal temperatures had only a small impact on the model output and can thus be specified using values from the literature without significantly increasing prediction uncertainties. On the other hand, parameters that define the growth rate or the shape of the temperature stress function had a high influence. The root growth module that considers temperature stress only slightly increased the complexity of the standard HYDRUS models.Water uptake by root systems can greatly affect water flow through the soil (Hao et al., 2005;Yu et al., 2007). The spatial pattern of root water uptake is determined by the spatial distribution of the root system, the knowledge of which is essential for predicting the spatial distribution of water contents and water fluxes in soils. The spatial distribution of roots and their growth are sensitive to various physical, chemical, and biological factors, as well as to soil hydraulic properties that influence the availability of water and oxygen for plants. It is thus important to describe root growth under the influence of various environmental factors to accurately simulate agricultural systems.Various attempts have been made in the past to develop root growth models that account for the influence of various environmental factors such as temperature (Stone et al

show abstract

Section: Methodsmentioning

confidence: 99%

Section: Core Ideasmentioning

confidence: 99%

Section: Modeling Root Growth As a Function Of Environmental Stressesmentioning

confidence: 99%

mentioning

confidence: 99%

mentioning

confidence: 99%

See 3 more Smart Citations

Implementation and Application of a Root Growth Module in HYDRUS

Hartmann¹,

Šimůnek

Aidoo

et al. 2017

Vadose Zone Journal

View full text Add to dashboard Cite

show abstract

Do newer maize hybrids grow roots faster and deeper?

Sciarresi,

Thies,

Topp

et al. 2024

Crop Science

View full text Add to dashboard Cite

Understanding historical changes in root depth attributes is needed for crop productivity and sustainability assessments, but such information is rare. We explored whether newer maize (Zea mays L.) hybrids grow roots faster and deeper than older hybrids and quantified the role of management and environment on root trait expression. We measured root front velocity (RFV) and maximum root depth in 11 Bayer Crop Science legacy hybrids released from 1983 to 2017 across five environments in the US Corn Belt during 2021 and 2022. Root depth was measured weekly during vegetative stages with manual probes and the maximum root depth at crop harvest with a Giddings probe. Results indicated that the RFV and maximum root depth slightly increased with the year of hybrid release (0.13% per year, p = 0.1) at 8.7 plants m−2. Historical increases in plant density from 4.7 to 8.7 plants m−2 lowered RFV and maximum root depth, but the new hybrids compensated for this loss, resulting in 4% higher RFV and 3% higher maximum depth when comparing systems from 1983 to 2017. The environment strongly influenced root trait expression (>41%). Rain anomaly and soil bulk density explained a portion of this variation. We found a linear relationship between root depth and leaf number (R2 = 0.95) and a nonlinear relationship between RFV and maximum root depth (R2 = 0.77), which can stimulate crop model improvements. Faster and deeper roots were not correlated with maize yields in our environments. This study enhances our understanding of maize breeding impacts on root traits.

show abstract

Testing a Convective-dispersive Model of Two-dimensional Root Growth and Proliferation in a Greenhouse Experiment with Maize Plants

Reddy

Pachepsky

2001

Annals of Botany

View full text Add to dashboard Cite

Simulation of Root Growth

Cited by 17 publications

References 58 publications

Implementation and Application of a Root Growth Module in HYDRUS

Implementation and Application of a Root Growth Module in HYDRUS

Do newer maize hybrids grow roots faster and deeper?

Testing a Convective-dispersive Model of Two-dimensional Root Growth and Proliferation in a Greenhouse Experiment with Maize Plants

Contact Info

Product

Resources

About