The soil-water cost of heavy machinery traffic on a Queensland Vertisol, Australia

Article


McGeary, R., West, D.J., Roberton S.D. and Bennett, J. McL. 2022. "The soil-water cost of heavy machinery traffic on a Queensland Vertisol, Australia ." Geoderma Regional. 29, pp. 1-9. https://doi.org/10.1016/j.geodrs.2022.e00506
Article Title

The soil-water cost of heavy machinery traffic on a Queensland Vertisol, Australia

ERA Journal ID210508
Article CategoryArticle
AuthorsMcGeary, R., West, D.J., Roberton S.D. and Bennett, J. McL
Journal TitleGeoderma Regional
Journal Citation29, pp. 1-9
Article Numbere00506
Number of Pages9
Year2022
PublisherElsevier
ISSN2352-0094
Digital Object Identifier (DOI)https://doi.org/10.1016/j.geodrs.2022.e00506
Web Address (URL)https://www.sciencedirect.com/science/article/pii/S2352009422000268
Abstract

The development of larger, more powerful agricultural machinery to increase field efficiency has occurred in broad-acre agricultural systems, at the risk of significant soil compaction. The effect of heavy machinery on the increase in soil bulk density is often recorded as an indication of this compaction, but the soil-water effects are rarely directly measured. It is therefore important to understand the impact of soil compaction on the soil water characteristic under such machinery, which was the objective of this work. Using the John Deere 7760 (JD7760) cotton picker as a case study, a Vertisol from Jimbour, Queensland, Australia was investigated for changes in soil water potential after traffic from a conventionally and a controlled traffic farming (CTF) configured JD7760 to determine the magnitude of impact non-CTF systems have on Australian cotton production systems. Bulk density, saturated moisture content, and cracking pattern were also determined. The saturated hydraulic conductivity decreased significantly in response to traffic with the greatest relative reduction occurring in the lower depths. Bulk density increased significantly in response to traffic, with the greatest relative increase occurring nearer the surface. The cracking pattern and area of void represented by soil cracks was shown to be related to change in soil bulk density due to traffic. Plant available water was demonstrably reduced, and this significant decrease was inferred from cracking pattern analysis. Basic economics for the traffic systems are presented to provide an economic and environmental imperative to traffic system management.

KeywordsCompaction; Controlled traffic; Machine traffic; Soil condition; Vertisols
ANZSRC Field of Research 20203002. Agriculture, land and farm management
Public Notes

Files associated with this item cannot be displayed due to copyright restrictions.

FunderCotton Research and Development Corporation
Byline AffiliationsCentre for Sustainable Agricultural Systems
Library Services
Permalink -

https://research.usq.edu.au/item/xq6wq/the-soil-water-cost-of-heavy-machinery-traffic-on-a-queensland-vertisol-australia

  • 21
    total views
  • 1
    total downloads
  • 0
    views this month
  • 0
    downloads this month

Export as

Related outputs

Targeting Subsoil Constraints in Southern Queensland: Concept Proof of Spraying Polyacrylamide for Subsoil Stabilisation during Tillage
Zhu, Yingcan, Ali, Aram, Bennett, John McLean, Guppy, Chris and McKenzie, David. 2022. "Targeting Subsoil Constraints in Southern Queensland: Concept Proof of Spraying Polyacrylamide for Subsoil Stabilisation during Tillage ." Sustainability. 14 (20), pp. 1-16. https://doi.org/10.3390/su142013147
Effects of sodium adsorption ratio and electrolyte concentration on soil saturated hydraulic conductivity
Liu, Xinmin, Zhu, Yingcan, Bennett, John McLean, Wu, Laosheng and Li, Hang. 2022. "Effects of sodium adsorption ratio and electrolyte concentration on soil saturated hydraulic conductivity ." Geoderma. 414, pp. 1-8. https://doi.org/10.1016/j.geoderma.2022.115772
A risk-based approach to mine-site rehabilitation: use of Bayesian Belief Network Modelling to manage dispersive soil and spoil
Ghahramani, Afshin, Bennett, John McLean, Ali, Aram, Reardon-Smith, Kathryn, Dale, Glenn, Roberton, Stirling D. and Raine, Steven. 2021. "A risk-based approach to mine-site rehabilitation: use of Bayesian Belief Network Modelling to manage dispersive soil and spoil." Sustainability. 13 (20), pp. 1-23. https://doi.org/10.3390/su132011267
A data driven approach for diagnosis and management of yield variability attributed to soil constraints
Roberton, Stirling Donoghue. 2019. A data driven approach for diagnosis and management of yield variability attributed to soil constraints. PhD Thesis Doctor of Philosophy. University of Southern Queensland. https://doi.org/10.26192/kn99-wp85
A Bayesian approach toward the use of qualitative information to inform on-farm decision making: The example of soil compaction
Roberton S.D., Lobsey, C.R. and Bennett, J.McL.. 2021. "A Bayesian approach toward the use of qualitative information to inform on-farm decision making: The example of soil compaction ." Geoderma. 382. https://doi.org/10.1016/j.geoderma.2020.114705
Towards an economic decision support system for amelioration of soil constraints in the Northern Grains Region
Ghahramani, Afshin, An-Vo, Duc-Anh, Rochecouste, John, Mushtaq, Shahbaz, Roberton, Stirling, Bennett, John McLean and Cockfield, Geoff. 2018. Towards an economic decision support system for amelioration of soil constraints in the Northern Grains Region. Toowoomba, Australia. University of Southern Queensland.
Assessing the Sensitivity of Site-Specific Lime and Gypsum Recommendations to Soil Sampling Techniques and Spatial Density of Data Collection in Australian Agriculture: A Pedometric Approach
Roberton, Stirling, Bennett, John McL., Lobsey, Craig R. and Bishop, Thomas F. A.. 2020. "Assessing the Sensitivity of Site-Specific Lime and Gypsum Recommendations to Soil Sampling Techniques and Spatial Density of Data Collection in Australian Agriculture: A Pedometric Approach ." Agronomy. 10 (11), pp. 1-18. https://doi.org/10.3390/agronomy10111676
The soil structural cost of traffic from heavy machinery in vertisols
Bennett, J. McL., Roberton, S. D., Marchuk, S., Woodhouse, N. P., Antille, D. L., Jensen, T. A. and Keller, T.. 2019. "The soil structural cost of traffic from heavy machinery in vertisols." Soil and Tillage Research. 185, pp. 85-93. https://doi.org/10.1016/j.still.2018.09.007
Efficacy of delaying cotton defoliation to mitigate compaction risk at wet harvest
Roberton, Stirling and Bennett, John McL.. 2017. "Efficacy of delaying cotton defoliation to mitigate compaction risk at wet harvest." Crop and Pasture Science. 68 (5), pp. 466-473. https://doi.org/10.1071/CP17117
A comparative study of conventional and controlled traffic in irrigated cotton: I. Heavy machinery impact on the soil resource
Bennett, John McL., Roberton, Stirling D., Jensen, Troy A., Antille, Diogenes L. and Hall, Jake. 2017. "A comparative study of conventional and controlled traffic in irrigated cotton: I. Heavy machinery impact on the soil resource." Soil and Tillage Research. 168, pp. 143-154. https://doi.org/10.1016/j.still.2016.12.012