Long-Term Monitoring of Different Field Traffic Management Practices in Cereals Production with Support of Satellite Images and Yield Data in Context of Climate Change

Author:

Rataj Vladimír,Kumhálová JitkaORCID,Macák MiroslavORCID,Barát Marek,Galambošová Jana,Chyba JanORCID,Kumhála FrantišekORCID

Abstract

Cereals in Europe are mainly grown with intensive management. This often leads to the deterioration of the physical properties of the soil, especially increasing bulk density due to heavy machinery traffic, which causes excessive soil compaction. Controlled traffic farming (CTF) technology has the potential to address these issues, as it should be advantageous technology for growing cereals during climate change. The aim of this study was to compare the yield potential of CTF and standardly used random traffic farming (RTF) technology using yield maps obtained from combine harvester and satellite imagery as a remote sensing method. The experiment was performed on a 16-hectare experimental field with a CTF system established in 2009 (with conversion from a conventional (ploughing) to conservation tillage system). Yield was compared in years when small cereals were grown, a total of 7 years within a 13-year period (2009–2021). The results show that CTF technology was advantageous in dry years. Cereals grown in the years 2016, 2017 and 2019 had significantly higher yields under CTF technology. On the contrary, in years with higher precipitation, RTF technology had slightly better results—up to 4%. This confirms higher productivity when using CTF technology in times of climate change.

Funder

European Regional Development Fund

Publisher

MDPI AG

Subject

Agronomy and Crop Science

Reference61 articles.

1. Worldwide Production of Grain in 2020/21 by Type,2021

2. Yiel of Agricultural Crops in Slovak Republic. Statistical Office of Slovak Republic http://statdat.statistics.sk/cognosext/cgi-bin/cognos.cgi?b_action=cognosViewer&ui.action=run&ui.object=storeID(%22iC6F7C81363CE41909892944F24E77E36%22)&ui.name=%c3%9aroda%20po%c4%benohospod%c3%a1rskych%20plod%c3%adn%20%5bpl2003rs%5d&run.outputFormat=&run.prompt=true&cv.header=false&ui.backURL=%2fcognosext%2fcps4%2fportlets%2fcommon%2fclose.html

3. Influence of Tillage on the Production Inputs, Outputs, Soil Compaction and GHG Emissions

4. Soil compaction and controlled traffic considerations in Australian cotton-farming systems

5. Historical increase in agricultural machinery weights enhanced soil stress levels and adversely affected soil functioning

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