Biochemical effects of banding limit the benefits of nitrification inhibition and controlled-release technology in the fertosphere of high N-input systems
Abstract:Enhanced efficiency fertilisers (EEFs) may have an important role in improving nitrogen (N) use efficiency in agricultural systems. The performance of EEFs when applied by broadcasting and incorporation is well documented; however, little information is available for sub-surface banded N-fertiliser. This study aimed to determine the effectiveness of EEFs within the fertosphere in several soils. This was determined by: (i) establishing the key chemical effects and N-transformation activity within a urea band, a… Show more
“…3.1). The use of K iNH 4 was suggested by the findings of Janke et al (2019) that NI may not have the expected impacts on N transformations and availability when applied in a concentrated band with large NH + 4 concentrations (up to 12 kg N Mg −1 ), similar to those modelled immediately after slurry application in this study. The modelled NH + 4 concentrations declined rapidly after application through diffusion, adsorption and nitrification (Sect.…”
Section: Modelling Ni Effects On Nh 3 Emissions and Mineral N Lossessupporting
confidence: 71%
“…These greater emissions were attributed to less NH + 4 oxidation before freezeup in fall, resulting in more NH + 4 remaining to drive NH + These model findings were consistent with field results from Chantigny et al (2017) in Quebec and Kariyapperuma et al (2012) in Ontario, where greater spring N 2 O emissions were measured when fall slurry was applied in late November than in early November. These greater spring thaw N 2 O emissions were attributed by Kariyapperuma et al (2012) to greater mineral N concentrations during spring thaw caused by less nitrification before freeze-up during the previous fall, as modelled here. The greater N 2 O emissions modelled with later slurry application were also driven by more rapid DOC oxidation from more labile manure C remaining during spring thaw.…”
Section: Ni Effects On Barley Silage Yieldsmentioning
confidence: 60%
“…Large N 2 O emissions measured in late winter were attributed by Dungan et al (2017) to labile N not used by soil microorganisms during the previous fall and winter that was actively metabolized when the soils began to warm in early March. Interannual differences in spring thaw emission events after fall slurry applications were related by Kariyapperuma et al (2012) to those in total soil mineral N content in the upper 15 cm of the soil profile during spring thaw. The effects of NI on N 2 O emissions during spring thaw will therefore depend on the persistence with which NI reduce nitrification in cold soils during fall and winter and thereby alter mineral N concentrations during the following spring.…”
Section: Introductionmentioning
confidence: 92%
“…where X NH 4 and X NH 4 are specific NH + 4 oxidation rates with and without NI (g N g nitrifier C −1 h −1 ), [NH + 4 ] is the aqueous NH + 4 concentration (g N m −3 in dynamic equilibrium with [NH 3 ]), and K iNH 4 is an inhibition constant set at 7000 g N m −3 to reduce inhibition at very large [NH + 4 ] as suggested in Janke et al (2019). These rates were used to calculate nitrification rates [H11]:…”
Abstract. Reductions in N2O emissions from nitrification inhibitors (NI) are
substantial but remain uncertain because measurements of N2O emissions
are highly variable and discontinuous. Mathematical modelling may offer an
opportunity to estimate these reductions if the processes causing
variability in N2O emissions can be accurately simulated. In this
study, the effect of NI was simulated with a simple, time-dependent
algorithm to slow NH4+ oxidation in the ecosystem model ecosys. Slower
nitrification modelled with NI caused increases in soil NH4+
concentrations and reductions in soil NO3- concentrations and in
N2O fluxes that were consistent with those measured following fall and
spring applications of slurry over 2 years from 2014 to 2016. The model
was then used to estimate direct and indirect effects of NI on seasonal and
annual emissions. After spring slurry applications, NI reduced N2O
emissions modelled and measured during the drier spring of 2015 (35 % and
45 %) less than during the wetter spring of 2016 (53 % and 72 %).
After fall slurry applications, NI reduced modelled N2O emissions by
58 % and 56 % during late fall in 2014 and 2015 and by 8 % and 33 %
during subsequent spring thaw in 2015 and 2016. Modelled reductions were
consistent with those from meta-analyses of other NI studies. Simulated NI
activity declined over time so that reductions in N2O emissions
modelled with NI at an annual timescale were relatively smaller than those
during emission events. These reductions were accompanied by increases in
NH3 emissions and reductions in NO3- losses with NI that
caused changes in indirect N2O emissions. With further parameter
evaluation, the addition of this algorithm for NI to ecosys may allow emission
factors for different NI products to be derived from annual N2O
emissions modelled under diverse site, soil, land use and weather.
“…3.1). The use of K iNH 4 was suggested by the findings of Janke et al (2019) that NI may not have the expected impacts on N transformations and availability when applied in a concentrated band with large NH + 4 concentrations (up to 12 kg N Mg −1 ), similar to those modelled immediately after slurry application in this study. The modelled NH + 4 concentrations declined rapidly after application through diffusion, adsorption and nitrification (Sect.…”
Section: Modelling Ni Effects On Nh 3 Emissions and Mineral N Lossessupporting
confidence: 71%
“…These greater emissions were attributed to less NH + 4 oxidation before freezeup in fall, resulting in more NH + 4 remaining to drive NH + These model findings were consistent with field results from Chantigny et al (2017) in Quebec and Kariyapperuma et al (2012) in Ontario, where greater spring N 2 O emissions were measured when fall slurry was applied in late November than in early November. These greater spring thaw N 2 O emissions were attributed by Kariyapperuma et al (2012) to greater mineral N concentrations during spring thaw caused by less nitrification before freeze-up during the previous fall, as modelled here. The greater N 2 O emissions modelled with later slurry application were also driven by more rapid DOC oxidation from more labile manure C remaining during spring thaw.…”
Section: Ni Effects On Barley Silage Yieldsmentioning
confidence: 60%
“…Large N 2 O emissions measured in late winter were attributed by Dungan et al (2017) to labile N not used by soil microorganisms during the previous fall and winter that was actively metabolized when the soils began to warm in early March. Interannual differences in spring thaw emission events after fall slurry applications were related by Kariyapperuma et al (2012) to those in total soil mineral N content in the upper 15 cm of the soil profile during spring thaw. The effects of NI on N 2 O emissions during spring thaw will therefore depend on the persistence with which NI reduce nitrification in cold soils during fall and winter and thereby alter mineral N concentrations during the following spring.…”
Section: Introductionmentioning
confidence: 92%
“…where X NH 4 and X NH 4 are specific NH + 4 oxidation rates with and without NI (g N g nitrifier C −1 h −1 ), [NH + 4 ] is the aqueous NH + 4 concentration (g N m −3 in dynamic equilibrium with [NH 3 ]), and K iNH 4 is an inhibition constant set at 7000 g N m −3 to reduce inhibition at very large [NH + 4 ] as suggested in Janke et al (2019). These rates were used to calculate nitrification rates [H11]:…”
Abstract. Reductions in N2O emissions from nitrification inhibitors (NI) are
substantial but remain uncertain because measurements of N2O emissions
are highly variable and discontinuous. Mathematical modelling may offer an
opportunity to estimate these reductions if the processes causing
variability in N2O emissions can be accurately simulated. In this
study, the effect of NI was simulated with a simple, time-dependent
algorithm to slow NH4+ oxidation in the ecosystem model ecosys. Slower
nitrification modelled with NI caused increases in soil NH4+
concentrations and reductions in soil NO3- concentrations and in
N2O fluxes that were consistent with those measured following fall and
spring applications of slurry over 2 years from 2014 to 2016. The model
was then used to estimate direct and indirect effects of NI on seasonal and
annual emissions. After spring slurry applications, NI reduced N2O
emissions modelled and measured during the drier spring of 2015 (35 % and
45 %) less than during the wetter spring of 2016 (53 % and 72 %).
After fall slurry applications, NI reduced modelled N2O emissions by
58 % and 56 % during late fall in 2014 and 2015 and by 8 % and 33 %
during subsequent spring thaw in 2015 and 2016. Modelled reductions were
consistent with those from meta-analyses of other NI studies. Simulated NI
activity declined over time so that reductions in N2O emissions
modelled with NI at an annual timescale were relatively smaller than those
during emission events. These reductions were accompanied by increases in
NH3 emissions and reductions in NO3- losses with NI that
caused changes in indirect N2O emissions. With further parameter
evaluation, the addition of this algorithm for NI to ecosys may allow emission
factors for different NI products to be derived from annual N2O
emissions modelled under diverse site, soil, land use and weather.
“…This is a method employed to reduce disturbance in soils under minimum tillage management (Busari et al, 2015) and for optimising nutrient uptake by placing the fertilizer close to the root zone, thereby limiting opportunities for losses (Sanchez et al, 1990, Sandral et al, 2017. However, banding of Nfertilizer creates a vastly different biochemical environment to broadcast and / or incorporated applications (Bezdicek et al, 1971, Hauck and Stephenson, 1965, Janke et al, 2019, with these changes possibly influencing the efficacy of various EEFs technologies. Very little research has investigated how EEFs function under banded application, leaving a significant gap in understanding on how these fertilizer products will improve NUE for a substantial proportion of global agricultural production.…”
The efficient use of fertilizer-nitrogen (N) is a major global challenge for intensive agricultural systems. A suite of enhanced efficiency fertilizers (EEFs) have been developed in response to poor N use efficiency (NUE) in agriculture, but mechanistic understanding to support their effective utilization is not well developed. In particular, banding N-fertilizer creates a vastly different biochemical environment to broadcast and / or incorporated applications, potentially influencing the efficacy of EEFs. Furthermore, the influence of tropical and subtropical conditions on EEF efficacy is not well characterized. Thus, application of EEFs in cropping systems utilizing banded application and / or in (sub) tropical environments is occurring under conditions for which there is little guidance on effective use strategies. The effects of fertilizer-N from coastal cropping areas (i.e., sugarcane) of northeast Australia on nutrient-sensitive ecosystems of the Great Barrier Reef (GBR) is a prominent example of a high-risk environment in which effective utilization of EEFs may mitigate environmental impacts through improved on-farm NUE.The objective of this PhD research was to take a mechanistic approach to investigating the efficacy of banded EEF's in conditions typical of the (sub) tropical environment of the Australian sugarcane industry. The aim was to develop mechanistic understanding that would underpin agronomic advice supporting the effective utilization of banded EEFs in sugarcane and other high-risk agricultural systems.An initial laboratory incubation (Chapter 3) investigated the fertosphere (soil within ca.1-2.5 cm of the fertilizer band) impacts of various nitrification inhibitors (NIs) and a polymercoated urea (PCU) on urea-N release and hydrolysis, and the subsequent biochemical effects on N cycling, in a range of soils with varying physico-chemicals properties and under conditions typical of a tropical climate. Compared to standard urea, limited benefits from NIs were found within the fertosphere irrespective of soil type, as the hostile conditions associated with rapid hydrolysis of highly concentrated urea-N already had an inhibitory effect on nitrification. Within PCU bands, lower-than-expected concentrations of mineral N and the retention of significant portions of urea-N in granules led to a hypothesis that incomplete release of urea-N from banded PCU granules may be a result of the proximity of neighbouring granules causing diminished concentrations gradients. Batch-style diffusion studies were conducted (Chapters 4 -6) to better explore N distribution and transformation and the biochemical changes induced by banded EEFs beyond the fertosphere. Despite limited movement beyond the fertosphere, it was shown that the urease Financial support
A range of enhanced efficiency fertilizers (EEFs) have been developed in response to widespread recognition of poor nitrogen (N) use efficiency (NUE) in agriculture; however, their effective utilization is not properly understood when applied in sub-surface bands. This study quantified soil chemical changes and the distribution of N species that arose from sub-surface banding of urea, a controlled release polymer-coated urea (PCU) and urea coated with either nitrification inhibitors (NIs) or a urease inhibitor (UI), over 71 days in a field trial. Banding NIs extended the duration of nitrification inhibition for up to 50 days longer than banded urea, although the duration of NI-conferred inhibition was dependant on the rate of NI-urea application. The UI preserved urea-N at a concentration which was 16-fold higher cf. standard urea over 7 days, but no urea-N was detected after 21 days. This suggests that the NUE benefits of UIs are transient when applied in sub-surface bands. Slow release of urea-N from banded PCU resulted in lower concentrations of N in the soil solution. This reduced N dispersal by ca. 50 mm cf. urea, resulting in a N-enriched zone which was considerably smaller. Relatively benign chemical conditions around PCU bands enabled rates of nitrification (NH4–N:NO3–N ratio of 46%) which were similar to urea. Collectively, these results demonstrate the relative efficacy and risks of the different EEF technologies, when applied in fertilizer bands. This knowledge supports the effective utilization of band-applied EEFs for improved NUE in agricultural systems.
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