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Quantifying nitrogen leaching in wheat (Triticum aestivum L.) using lysimeter stable isotope conservative tracer and modelling techniques

Dissertation (MSc (Agric))--University of Pretoria, 2017.

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Other Authors: Van der Laan, Michael
Format: Thesis
Language:English
Published: University of Pretoria 2018
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access_status_str Open Access
author2 Van der Laan, Michael
author_browse Van der Laan, Michael
author_facet Van der Laan, Michael
collection Thesis
dc_rights_str_mv © 2018 University of Pretoria. All rights reserved. The copyright in this work vests in the University of Pretoria. No part of this work may be reproduced or transmitted in any form or by any means, without the prior written permission of the University of Pretoria.
description Dissertation (MSc (Agric))--University of Pretoria, 2017.
format Thesis
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institution University of Pretoria (South Africa)
language English
last_indexed 2026-06-10T12:37:36.798Z
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provenance_str_mv Harvested via OAI-PMH from UPSpace — University of Pretoria Institutional Repository
publishDate 2018
publishDateRange 2018
publishDateSort 2018
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spelling oai:repository.up.ac.za:2263/65909 Quantifying nitrogen leaching in wheat (Triticum aestivum L.) using lysimeter stable isotope conservative tracer and modelling techniques Van der Laan, Michael u15381847@tuks.co.za Hall, Grant Annandale, John George Mangwende, Tapera Elias UCTD Dissertation (MSc (Agric))--University of Pretoria, 2017. Nitrogen (N) leaching is one of the important pathways that leads to water pollution, and previous studies have highlighted the difficulty in measuring it. The purpose of this study was to evaluate different techniques used to quantify nitrate-N (NO3-N) leaching load and determine fertiliser N use efficiency (FNUE). Lysimeter and field trial sites were planted with wheat (Triticum aestivum) (PAN3400 cultivar) at the University of Pretoria Experimental Farm, Hatfield, Pretoria. Two weighing lysimeters and a drain gauge were installed at the lysimeter trial site. Water content sensors and suction cups (SCs) were installed at 0.15, 0.3, 0.5 and 0.7 m depths in the weighing lysimeters and close to the drain gauge, while SCs, wetting front detectors (WFDs) and water content sensors were installed at 0.25 and 0.5 m in the field trial site. The crop was fertilised with 200 kg N ha-1 at both sites, but no fertiliser was applied on unfertilised control plots at the field trial site. High density drip irrigation was used at both sites, and bromide (Br-) was applied to all field plots at 0.020 kg m-2. Water was sampled from the SCs, WFDs and the bottom of weighing lysimeters and drain gauge to determine soil water NO3-N and Br- concentrations. Soil samples collected before and after the trial, and plant samples taken at tillering, flowering and physiological maturity were analysed for plant N% and stable 15N natural abundance using a mass spectrometer. Phenological and growth data from the lysimeter trial were used to calibrate Agricultural Production Systems sIMulator (APSIM) model for the first time (according to our knowledge) on wheat in South Africa. The model was then validated using data from the field trial. The drain gauge drained more frequently and in greater amounts than the weighing lysimeters, and NO3- was observed in drainage water from the drain gauge, but was undetectable from the weighing lysimeters drainage possibly because of saturated bottom layer that promoted denitrification. Based on stable 15N natural abundance, the FNUE was 68%, so the fertilised crop did not use 32% of the applied fertiliser. Good correlation was noted between the flag leaf and total plant N% at physiological maturity, indicating that flag leaf can be used to determine the FNUE without requiring whole plant analysis. The potential NO3-N leaching determined using a Br- conservative tracer was 51.5 kg ha-1 season-1. In fertilised plots, the calibrated model predicted NO3-N leaching of 22.7 kg ha-1 season-1, which was slightly lower than the drain gauge measured NO3-N leaching 24.9 kg ha-1 season. Therefore, the drain gauge shows excellent promise in quantifying N leaching but will require further testing under a range of cropping systems. Since the measured drain gauge and simulated NO3-N leaching agreed, and variables such as grain yield, total above dry matter, leaf area index and soil water content were reasonably simulated, the APSIM model can be applied to wheat cropping systems to improve N management decisions. The model confirmed that proper timing of N applications can reduce leaching losses, but further tests are required in several wheat growing agro-ecological zones to explore N management options that minimise N leaching losses. Even without measurements and/or modelling of N losses and crop uptake, results of this study for wheat indicate that the 15N stable isotopes can be used on its own to estimate FNUE, but more studies from different soil types and on wheat varieties are required to verify the trends observed in this study. Agricultural Economics, Extension and Rural Development MSc (Agric) Unrestricted 2018-07-25T09:00:53Z 2018-07-25T09:00:53Z 2018/04/19 2017 Dissertation Mangwende, TE 2017, Quantifying nitrogen leaching in wheat (Triticum aestivum L.) using lysimeter stable isotope conservative tracer and modelling techniques, MSc (Agric) Dissertation, University of Pretoria, Pretoria, viewed yymmdd <http://hdl.handle.net/2263/65909> A2018 http://hdl.handle.net/2263/65909 en © 2018 University of Pretoria. All rights reserved. The copyright in this work vests in the University of Pretoria. No part of this work may be reproduced or transmitted in any form or by any means, without the prior written permission of the University of Pretoria. application/pdf University of Pretoria
spellingShingle UCTD
Quantifying nitrogen leaching in wheat (Triticum aestivum L.) using lysimeter stable isotope conservative tracer and modelling techniques
title Quantifying nitrogen leaching in wheat (Triticum aestivum L.) using lysimeter stable isotope conservative tracer and modelling techniques
title_full Quantifying nitrogen leaching in wheat (Triticum aestivum L.) using lysimeter stable isotope conservative tracer and modelling techniques
title_fullStr Quantifying nitrogen leaching in wheat (Triticum aestivum L.) using lysimeter stable isotope conservative tracer and modelling techniques
title_full_unstemmed Quantifying nitrogen leaching in wheat (Triticum aestivum L.) using lysimeter stable isotope conservative tracer and modelling techniques
title_short Quantifying nitrogen leaching in wheat (Triticum aestivum L.) using lysimeter stable isotope conservative tracer and modelling techniques
title_sort quantifying nitrogen leaching in wheat triticum aestivum l using lysimeter stable isotope conservative tracer and modelling techniques
topic UCTD
url http://hdl.handle.net/2263/65909