Use of available information at a European level to construct crop nitrogen response curves for the regions of the EU

Godard, Caroline; Roger-Estrade, Jean; Jayet, Pierre-Alain; Brisson, Nadine; Bas, Christine Le

doi:10.1016/j.agsy.2007.12.002

Cited by 66 publications

(42 citation statements)

References 30 publications

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“…from various earlier studies (Godard et al, 2008). Our finding is also consistent with the results presented by Berenguer et al (2009), who carried out field experiments for maize for similar conditions in Spain (Fig.…”

Section: Discussionsupporting

confidence: 83%

Grey water footprint reduction in irrigated crop production: effect of nitrogen application rate, nitrogen form, tillage practice and irrigation strategy

Chukalla

Krol

Hoekstra

2018

Hydrol. Earth Syst. Sci.

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Abstract. Grey water footprint (WF) reduction is essential given the increasing water pollution associated with food production and the limited assimilation capacity of fresh water. Fertilizer application can contribute significantly to the grey WF as a result of nutrient leaching to groundwater and runoff to streams. The objective of this study is to explore the effect of the nitrogen application rate (from 25 to 300 kg N ha −1 ), nitrogen form (inorganic N or manure N), tillage practice (conventional or no-tillage) and irrigation strategy (full or deficit irrigation) on the nitrogen load to groundwater and surface water, crop yield and the N-related grey water footprint of crop production by a systematic model-based assessment. As a case study, we consider irrigated maize grown in Spain on loam soil in a semi-arid environment, whereby we simulate the 20-year period 1993-2012. The water and nitrogen balances of the soil and plant growth at the field scale were simulated with the Agricultural Policy Environmental eXtender (APEX) model. As a reference management package, we assume the use of inorganic N (nitrate), conventional tillage and full irrigation. For this reference, the grey WF at a usual N application rate of 300 kg N ha −1 (with crop yield of 11.1 t ha −1 ) is 1100 m 3 t −1 , which can be reduced by 91 % towards 95 m 3 t −1 when the N application rate is reduced to 50 kg N ha −1 (with a yield of 3.7 t ha −1 ). The grey WF can be further reduced to 75 m 3 t −1 by shifting the management package to manure N and deficit irrigation (with crop yield of 3.5 t ha −1 ). Although water pollution can thus be reduced dramatically, this comes together with a great yield reduction, and a much lower water productivity (larger green plus blue WF) as well. The overall (green, blue and grey) WF per tonne is found to be minimal at an N application rate of 150 kg N ha −1 , with manure, no-tillage and deficit irrigation (with crop yield of 9.3 t ha −1 ). The paper shows that there is a trade-off between grey WF and crop yield, as well as a trade-off between reducing water pollution (grey WF) and water consumption (green and blue WF). Applying manure instead of inorganic N and deficit instead of full irrigation are measures that reduce both water pollution and water consumption with a 16 % loss in yield.

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Section: Discussionsupporting

confidence: 83%

Grey water footprint reduction in irrigated crop production: effect of nitrogen application rate, nitrogen form, tillage practice and irrigation strategy

Chukalla

Krol

Hoekstra

2018

Hydrol. Earth Syst. Sci.

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“…Following Llewelyn and Featherstone [5], production functions are used to describe corn yield responses to nitrogen and irrigation water in a simple analytical description, which is necessary to represent yield response processes in agricultural and environmental economic allocation models. These functions implicitly consider other production factors such as soil and climate [13]. In contrast, complex production functionse.g.…”

Section: Production Functionsmentioning

confidence: 99%

The Application of Robust Regression to a Production Function Comparison~!2008-08-21~!2008-11-10~!2008-11-28~!

Finger¹,

Hediger²

2008

TOASJ

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Abstract:The adequate representation of crop response functions is crucial for agronomic as well as agricultural economic modeling and analysis. So far, the evaluation of such functions focused on the comparison of different functional forms. In this article, the perspective is expanded also by considering different regression methods. This is motivated by the fact that exceptional crop yield observations (outliers) can cause misleading results if least squares regression is applied. In order to address this problem we also apply robust regression techniques that are not affected by such outliers. We evaluate the quadratic, the square root and the Mitscherlich-Baule function using the example of Swiss corn (Zea mays L.) yields. It shows that the use of robust regression narrows the range of optimal input levels across different functional forms and reduces potential costs of misspecification compared to least squares estimation. Thus, differences between functional forms are reduced by applying robust regression.

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“…The initial slope 1 α IC sets how easily the potential yield can be achieved in each region given the regional socio-economic constraints that may face farmers. The Nexus Land-Use production function can be considered as a form of yield response function to fertiliser application that can be simulated by crop models (Brisson et al, 2003;Godard et al, 2008), and generalised to all types of fertilisers (nitrogen, phosphorus, potassium) and to pesticides. The yield per unit of land is given by…”

Section: Crop Production Functionmentioning

confidence: 99%

The Nexus Land-Use model version 1.0, an approach articulating biophysical potentials and economic dynamics to model competition for land-use

et al. 2012

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Abstract.Interactions between food demand, biomass energy and forest preservation are driving both food prices and land-use changes, regionally and globally. This study presents a new model called Nexus Land-Use version 1.0 which describes these interactions through a generic representation of agricultural intensification mechanisms within agricultural lands. The Nexus Land-Use model equations combine biophysics and economics into a single coherent framework to calculate crop yields, food prices, and resulting pasture and cropland areas within 12 regions inter-connected with each other by international trade. The representation of cropland and livestock production systems in each region relies on three components: (i) a biomass production function derived from the crop yield response function to inputs such as industrial fertilisers; (ii) a detailed representation of the livestock production system subdivided into an intensive and an extensive component, and (iii) a spatially explicit distribution of potential (maximal) crop yields prescribed from the Lund-Postdam-Jena global vegetation model for managed Land (LPJmL). The economic principles governing decisions about land-use and intensification are adapted from the Ricardian rent theory, assuming cost minimisation for farmers. In contrast to the other land-use models linking economy and biophysics, crops are aggregated as a representative product in calories and intensification for the representative crop is a non-linear function of chemical inputs. The model equations and parameter values are first described in details. Then, idealised scenarios exploring the impact of forest preservation policies or rising energy price on agricultural intensification are described, and their impacts on pasture and cropland areas are investigated.

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Use of available information at a European level to construct crop nitrogen response curves for the regions of the EU

Cited by 66 publications

References 30 publications

Grey water footprint reduction in irrigated crop production: effect of nitrogen application rate, nitrogen form, tillage practice and irrigation strategy

Grey water footprint reduction in irrigated crop production: effect of nitrogen application rate, nitrogen form, tillage practice and irrigation strategy

The Application of Robust Regression to a Production Function Comparison~!2008-08-21~!2008-11-10~!2008-11-28~!

The Nexus Land-Use model version 1.0, an approach articulating biophysical potentials and economic dynamics to model competition for land-use

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