Field Evaluation of Controlled Traffic Farming in Central Europe Using Commercially Available Machinery

Abstract

ABSTRACT. The progressive increase in the size and weight of farm machinery causes concerns due to the increased risk of soil compaction that arises from non-organized vehicle traffic. Controlled traffic farming (CTF) offers

MicroRNA-based markers as a tool to monitor the barley (Hordeum vulgare L.) response to soil compaction

“…Due to these, technologies to minimise the negative effect of machinery traffic on soil and crop has been developed and adopted across the world (Chamen 2015). The significant effect of traffic compaction on crop development and yield at the experimental is described in following studies (Rajwanshi et al, 2014;Galambošová et al, 2017;Antille et al, 2019). Difference in yield between the non-trafficked area and areas with different level of compaction ranged from 9 to 33% for spring barley (Galambošová et al, 2017).…”

“…The different intensity of soil compaction is introduced through the controlled traffic of machinery at the field. The layout of the experiment and all the details are described in works of (Galambošová et al, 2017;Macák et al, 2018). Data from soil proximal sensors were collected at two areas with different soil compaction conditions (Figure 1): CTF-004B -Crop bed -non compacted soil (no field traffic since 2009/2010) and CTF-004C -Traffic line -permanent traffic line of the CTF system, all field traffic at this line since 2009/2010.…”

<i>Agronomic performance of wheat (Triticum aestivum L.) and fertiliser use efficiency as affected by controlled and non-controlled traffic of farm machinery</i>

“…The approach used in this work is from studies (e.g., Kachanoski, 2009;Antille et al, 2017) dealing with cereal crop responses to applied N fertilizer, and assumes a quadratic-plateau relationship. Crop's gross margin (GM) was estimated as the difference between gross income (GI) and total variable costs (TVC) (Galambošová et al, 2017). This analysis uses the NRATE as the optimum N application rate (MERN), which is derived from the yield-to-nitrogen response relationship.…”

“…Hence, the corresponding GI for each traffic system was derived by adjusting YMERN in Equation (9a) by these relative percentages. This was considered to be a fair assumption based on earlier studies (e.g., Galambošová et al, 2017).…”

Determining Trafficked Areas Using Soil Electrical Conductivity – A Pilot Study

“…Soil compaction caused by machinery traffic needs to be: (a) either removed by costly subsoiling; or (b) avoided by implementation of technologies, such as wide span gantry technologies (Chamen, 2015;Bulgakov et al, 2018). Recently, controlled traffic farming (CTF) and its modifications show potential benefits worldwide (Godwin et al, 2015;Chamen, 2015;Gutu et al, 2015;Galambošová et al, 2017;Latsch and Anken, 2019;Antille et al, 2019;Masola et al, 2020). In order to conduct the aforementioned management steps, areas which were exposed to traffic should be spatially targeted.…”