Site‐specific nitrogen balances based on spatially variable soil and plant properties

In this study, site-specific N balances were calculated for a 13.1 ha heterogeneous field. Yields and N uptake as input data for N balances were determined with data from a combine harvester, reflectance measurements from satellites and tractor-mounted sensors. The correlations between the measured...

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Veröffentlicht in:Precision agriculture 2021-10, Vol.22 (5), p.1416-1436
Hauptverfasser: Mittermayer, Martin, Gilg, August, Maidl, Franz-Xaver, Nätscher, Ludwig, Hülsbergen, Kurt-Jürgen
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Sprache:eng
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Zusammenfassung:In this study, site-specific N balances were calculated for a 13.1 ha heterogeneous field. Yields and N uptake as input data for N balances were determined with data from a combine harvester, reflectance measurements from satellites and tractor-mounted sensors. The correlations between the measured grain yields and yields determined by digital methods were moderate. The calculated values for the N surpluses had a wide range within the field. Nitrogen surpluses were calculated from − 76.4 to 91.3 kg ha −1 , with a mean of 24.0 kg ha −1 . The use of different data sources and data collection methods had an impact on the results of N balancing. The results show the need for further optimization and improvement in the accuracy of digital methods. The factors influencing N uptake and N surplus were determined by analysing soil properties of georeferenced soil samples. Soil properties showed considerable spatial variation within the field. Soil organic carbon correlated very strongly with total nitrogen content ( r  = 0.97), moderately with N uptake (sensor, r  = 0.60) and negatively with N surplus (satellite, r = − 0.46; sensor, r = − 0.56; harvester, r = − 0.60). Nitrate content was analysed in soil cores (0 to 9 m) taken in different yield zones, and compared with the calculated N surplus; there was a strong correlation between the measured nitrate content and calculated N surplus ( r  = 0.82). Site-specific N balancing can contribute to a more precise identification of the risk of nitrate losses and the development of targeted nitrate reduction strategies.
ISSN:1385-2256
1573-1618
DOI:10.1007/s11119-021-09789-9