Staff Publications

Staff Publications

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    'Staff publications' is the digital repository of Wageningen University & Research

    'Staff publications' contains references to publications authored by Wageningen University staff from 1976 onward.

    Publications authored by the staff of the Research Institutes are available from 1995 onwards.

    Full text documents are added when available. The database is updated daily and currently holds about 240,000 items, of which 72,000 in open access.

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Record number 507241
Title NUTGRANJA 2.0 : a simple mass balance model to explore the effects of different management strategies on nitrogen and greenhouse gases losses and soil phosphorus changes in dairy farms
Author(s) Prado, A. del; Corré, W.J.; Gallejones, P.; Pardo, G.; Pinto, M.; Hierro, O. del; Oenema, O.
Source Mitigation and Adaptation Strategies for Global Change 21 (2016)7. - ISSN 1381-2386 - p. 1145 - 1164.
DOI http://dx.doi.org/10.1007/s11027-014-9598-8
Department(s) PPO/PRI AGRO Field Technology Innovations
Alterra - Sustainable soil management
PE&RC
Publication type Refereed Article in a scientific journal
Publication year 2016
Keyword(s) Ammonia volatilisation - CH - Dairy farm - GHG - Grasslands - Leaching - Model - NO - Nitrogen - Phosphorus
Abstract

Farm nutrient management has been identified as one of the most important factors determining the economic and environmental performance of dairy cattle (Bos taurus) farming systems. Given the environmental problems associated with dairy farms, such as emissions of greenhouse gases (GHG), and the complex interaction between farm management, environment and genetics, there is a need to develop robust tools which enable scientists and policy makers to study all these interactions. This paper describes the development of a simple model called NUTGRANJA 2.0 to evaluate GHG emissions and nitrogen (N) and phosphorus (P) losses from dairy farms. NUTGRANJA 2.0 is an empirical mass-balance model developed in order to simulate the main transfers and flows of N and P through the different stages of the dairy farm management. A model sensitivity test was carried out to explore some of the sensitivities of the model in relation to the simulation of GHG and N emissions. This test indicated that both management (e.g. milk yield per cow, annual fertiliser N rate) and site-specific factors (e.g. % clover (Trifolium) in the sward, soil type, and % land slope) had a large effect on most of the model state variables studied (e.g. GHG and N losses).

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