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Soil, land care and environmental research
Soil Research

Soil Research

Volume 61 Number 2 2023


Poly- and perfluoroalkyl substances (PFAS) are new persistent organic pollutants under the Stockholm Convention. Their extreme persistence is a cause of major concern. Products containing PFAS have been in use over the last 70 years in myriad applications (e.g. fire fighting foams, water-repellent textiles and packaging material) and this has resulted in widespread dispersal in the environment. Soil serves as a sink for PFAS. In this study we identify key properties that determine their mobility in the soil environment.

SR22012Rapid colorimetric methods for analysis of pH, extractable aluminium and Colwell phosphorus in soils

Chandrakumara Weligama 0000-0002-4364-0521, Anton Wasson, Gilbert Permalloo and Emmanuel Delhaize
pp. 126-135

Soil analyses are an essential part of agricultural research. Although analytical methods have improved over the years, cheap and high throughput methods are still required. Here, we present low-cost methods to measure pH, soluble aluminium and plant-available phosphorus in soil. The methods can be applied to map the distribution of these parameters as is required for field trials. Although the methods were developed primarily for analysis of acid soils, they are applicable to a range of soil types.

SR22073Occurrence of veterinary antibiotics in arable soil with different fertilisation modes: a field study

Xiaona Xie, Yutong Li, Jun Wang, Ye Zhou, Zhengzhou Yang and Zhengjie Zhu 0000-0002-7576-4852
pp. 136-144

Higher concentrations of tetracyclines than sulfonamides were detected in soil amended with manure. The concentrations of antibiotics had significant positive correlations with available phosphorus in soil. The combined application of organic–inorganic fertiliser was the most effective fertilisation mode.

SR22048Machine learning as a useful tool for diagnosis of soil compaction under continuous no-tillage in Brazil

Devison Souza Peixoto 0000-0002-8093-2494, Sérgio Henrique Godinho Silva 0000-0003-2750-5976, Silvino Guimarães Moreira, Alessandro Alvarenga Pereira da Silva, Thayná Pereira Azevedo Chiarini, Lucas de Castro Moreira da Silva, Nilton Curi 0000-0002-2604-0866 and Bruno Montoani Silva 0000-0002-8240-8987
pp. 145-158

Soil compaction reduces soil quality and crop productivity. To mitigate the problem, many farmers have used occasional tillage; however, without an adequate diagnosis, soil tillage may not provide benefits. Machine learning is an effective tool in helping to diagnose soil compaction and make decisions about the use of occasional tillage.

SR21048Impacts of long-term rice-based organic farming on fractions and forms of soil organic carbon and nitrogen in the Indo-Gangetic Plain

Amrit Lal Meena, R. N. Pandey, Dinesh Kumar, V. K. Sharma, M. D. Meena 0000-0002-6363-4647, Minakshi Karwal, Debashis Dutta 0000-0002-5383-5795, L. K. Meena, Ekta Narwal, R. P. Mishra, A. S. Panwar and A. Ghosh
pp. 159-175

Management and recycling of crop residues could serve as the potential source of soil organic carbon (SOC) and nitrogen (N). Understanding the effects of organic farming system on carbon and N pools is important for assessing acceptable organic sources for a particular region. Sensitivity indices can be used to detect management-induced changes in SOC and N fractions.

SR22110Sensitivity analysis of soil parameters in the Agricultural Production Systems sIMulator (APSIM)

Iris Vogeler 0000-0003-2512-7668, Joanna Sharp, Rogerio Cichota and Linda Lilburne
pp. 176-186

Crop models are widely used to evaluate management options and support decision making for farmers and policy makers. However, the performance of these models is highly dependent on a generally large number of input parameters, including soil characteristics. Measurements of these is time consuming and not possible at the larger scale. Instead, general information from databases can be used. But are these good enough? To answer this, we carried out a sensitivity analysis.


Nitrification inhibitors (NIs) reduce nitrogen (N) losses from agricultural soils. The threshold concentrations of NIs required to reduce N losses from urine in pasture soils are unknown, so this study aimed to fill this knowledge gap. The three NIs examined had different threshold concentrations, and the longer the NIs persisted in the soil, the more effective they were at reducing N loss from the soil.

SR22103Coffee plantations can strongly sequester soil organic carbon at high altitudes in Brazil

Emmeline M. França, Carlos A. Silva and Yuri L. Zinn 0000-0001-5105-7996
pp. 198-207

Soil organic carbon (SOC) is an important C pool that can be lost with cultivation and warming. In mountains, SOC can be high due to cooler temperatures and slower microbial decomposition, but it is not known how it would respond to cultivation. We measured SOC at elevations 940 and 1260 m, under native forest and coffee (Coffea arabica L.) crops in Brazil. Altitude had no effect on SOC under forests, but large SOC sequestration occurred under coffee crops at 1260 m.

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Best Student-Led Paper

The Best Student-Led Paper published in 2023 has been awarded to Guilherme Oliveira Andrade da Silva.

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