Response of wheat to nitrogen fertilization, a data set to validate simulation models for nitrogen dynamics in crop and soil

Groot, J.J.R.; Verberne, E. L. J.

doi:10.1007/bf01051140

Cited by 65 publications

(26 citation statements)

References 3 publications

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“…The C : N of the grains (Fig. 4b) in response to dif- Timing from F opt(T,A) , application rate from fixed input F C C only The difference between observed and simulated leaf C for three different levels of fertiliser application for the Bouwing, the Eest and PAGV (Netherlands) for seasons 1982-1983and 1983-1984(Groot and Verberne, 1991. Blue symbols indicate lowest levels of fertilisation; red represent medium and black symbols a high N fertiliser input.…”

Section: N Fertiliser Responsementioning

confidence: 99%

“…To initialise (spin up) N and C pools in the model, climate data for the year 1979 were repeated for 500 years. In Groot and Verberne (1991), there is no information on management practices in previous years, so we decided to implement a moderate level of 100 kg N ha −1 y −1 as a single application, 150 days after sowing for the spin-up. The year before the trials started Table 1.…”

Section: Fertiliser Trialsmentioning

confidence: 99%

“…The year before the trials started Table 1. Site-and treatment-specific data after Groot and Verberne (1991). For all trials (I-VI), three experiments with different applications of N fertiliser were performed (1, 2 and 3).…”

Section: Fertiliser Trialsmentioning

confidence: 99%

“…To evaluate the model's ability to simulate phenology and yields, and sensitivity to N fertiliser additions, data from nitrogen fertiliser response trials with detailed measurements of dry mass and N mass allocation from the Netherlands (Groot and Verberne, 1991) were used. In the trials, winter wheat was grown with different fertiliser input in the years [1983][1984][1985].…”

Section: Fertiliser Trialsmentioning

confidence: 99%

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Modelling the response of yields and tissue C : N to changes in atmospheric CO<sub>2</sub> and N management in the main wheat regions of western Europe

et al. 2015

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Abstract. Nitrogen (N) is a key element in terrestrial ecosystems as it influences both plant growth and plant interactions with the atmosphere. Accounting for carbon-nitrogen interactions has been found to alter future projections of the terrestrial carbon (C) cycle substantially. Dynamic vegetation models (DVMs) aim to accurately represent both natural vegetation and managed land, not only from a carbon cycle perspective but increasingly so also for a wider range of processes including crop yields. We present here the extended version of the DVM LPJ-GUESS that accounts for N limitation in crops to account for the effects of N fertilisation on yields and biogeochemical cycling.The performance of this new implementation is evaluated against observations from N fertiliser trials and CO 2 enrichment experiments. LPJ-GUESS captures the observed response to both N and CO 2 fertilisation on wheat biomass production, tissue C to N ratios (C : N) and phenology.To test the model's applicability for larger regions, simulations are subsequently performed that cover the wheatdominated regions of western Europe. When compared to regional yield statistics, the inclusion of C-N dynamics in the model substantially increase the model performance compared to an earlier version of the model that does not account for these interactions. For these simulations, we also demonstrate an implementation of N fertilisation timing for areas where this information is not available. This feature is crucial when accounting for processes in managed ecosystems in large-scale models. Our results highlight the importance of accounting for C-N interactions when modelling agricultural ecosystems, and it is an important step towards accounting for the combined impacts of changes in climate, [CO 2 ] and land use on terrestrial biogeochemical cycles.

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Section: N Fertiliser Responsementioning

confidence: 99%

Section: Fertiliser Trialsmentioning

confidence: 99%

Section: Fertiliser Trialsmentioning

confidence: 99%

Section: Fertiliser Trialsmentioning

confidence: 99%

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Modelling the response of yields and tissue C : N to changes in atmospheric CO<sub>2</sub> and N management in the main wheat regions of western Europe

et al. 2015

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“…The highest yield was observed in a humid climate at New Zealand. Assembled data were quality checked and individually and partly published in earlier studies (see Asseng et al, 2004;Asseng et al, 1998;Asseng et al, 2000;Groot and Verberne, 1991;Hunsaker et al, 1996; Jamieson et al, 1998a;Jamieson and Ewert, 1999;Jamieson et al, 1995;Kimball et al, 1995;Kimball, 2006;Kimball et al, 2002;Ko et al, 2010;Sayre et al, 1997;Wall et al, 2006;Wall and Kimball, 1993).…”

Section: Introductionmentioning

confidence: 99%

Field experimental data for crop modeling of wheat growth response to nitrogen fertilizer, elevated CO2, water stress, and high temperature

Kassie

Kimball

Jamieson

et al. 2018

ODJAR

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Field experimental data of five experiments covering a wide range of growing conditions are assembled for wheat growth and cropping systems modeling. The data include (i) an experiment on interactive effects of elevated CO2 by water and elevated CO2 by nitrogen fertilizer application from a Free-Air Carbon Dioxide Enrichment experiment (FACE) at Arizona in USA; (ii) a nitrogen rate fertilizer experiment from three locations and two years in The Netherlands; (iii) water deficit experiments at Lincoln in New Zealand and (iv) at Cunderdin in Australia; and (v) a temperature sensitivity experiment at Obregon in Mexico. Overall, the data sets consist of 65 experimental treatments with more than 1000 observations, with time series of development and growth, soil water and soil nitrogen dynamics, yield and yield components, daily weather, soil characteristics, and cultivar descriptions. These data have been used in various agronomic and crop modeling studies.

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Modelle zum Stickstoffhaushalt

Nendel

2004

Handbuch Der Umweltwissenschaften

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Response of wheat to nitrogen fertilization, a data set to validate simulation models for nitrogen dynamics in crop and soil

Cited by 65 publications

References 3 publications

Modelling the response of yields and tissue C : N to changes in atmospheric CO<sub>2</sub> and N management in the main wheat regions of western Europe

Modelling the response of yields and tissue C : N to changes in atmospheric CO<sub>2</sub> and N management in the main wheat regions of western Europe

Field experimental data for crop modeling of wheat growth response to nitrogen fertilizer, elevated CO2, water stress, and high temperature

Modelle zum Stickstoffhaushalt

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Response of wheat to nitrogen fertilization, a data set to validate simulation models for nitrogen dynamics in crop and soil

Cited by 65 publications

References 3 publications

Modelling the response of yields and tissue C : N to changes in atmospheric CO&lt;sub&gt;2&lt;/sub&gt; and N management in the main wheat regions of western Europe

Modelling the response of yields and tissue C : N to changes in atmospheric CO&lt;sub&gt;2&lt;/sub&gt; and N management in the main wheat regions of western Europe

Field experimental data for crop modeling of wheat growth response to nitrogen fertilizer, elevated CO2, water stress, and high temperature

Modelle zum Stickstoffhaushalt

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Product

Resources

About

Modelling the response of yields and tissue C : N to changes in atmospheric CO<sub>2</sub> and N management in the main wheat regions of western Europe

Modelling the response of yields and tissue C : N to changes in atmospheric CO<sub>2</sub> and N management in the main wheat regions of western Europe