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 409200
Title SIMSDAIRY: A modelling framework to identify sustainable dairy farms in the UK. Framework description and test for organic systems and N fertiliser optimisation
Author(s) Prado, A. Del; Misselbrook, T.; Chadwick, D.; Hopkins, A.; Dewhurst, R.J.; Davison, P.; Butler, A.; Schroder, J.J.; Scholefield, D.
Source Science of the Total Environment 409 (2011)19. - ISSN 0048-9697 - p. 3993 - 4009.
DOI http://dx.doi.org/10.1016/j.scitotenv.2011.05.050
Department(s) PPO/PRI AGRO Duurzame Bedrijfssystemen
Publication type Refereed Article in a scientific journal
Publication year 2011
Keyword(s) conjugated linoleic-acid - greenhouse-gas emissions - polyunsaturated fatty-acids - life-cycle assessment - ruminant livestock systems - dietary fish-oil - milk-fat - methane production - beef-cattle - agricultural catchments
Abstract Multiple demands are placed on farming systems today. Society, national legislation and market forces seek what could be seen as conflicting outcomes from our agricultural systems, e.g. food quality, affordable prices, a healthy environmental, consideration of animal welfare, biodiversity etc., Many of these demands, or desirable outcomes, are interrelated, so reaching one goal may often compromise another and, importantly, pose a risk to the economic viability of the farm. SIMSDAIRY, a farm-scale model, was used to explore this complexity for dairy farm systems. SIMSDAIRY integrates existing approaches to simulate the effect of interactions between farm management, climate and soil characteristics on losses of nitrogen, phosphorus and carbon. The effects on farm profitability and attributes of biodiversity, milk quality, soil quality and animal welfare are also included. SIMSDAIRY can also be used to optimise fertiliser N. In this paper we discuss some limitations and strengths of using SIMSDAIRY compared to other modelling approaches and propose some potential improvements. Using the model we evaluated the sustainability of organic dairy systems compared with conventional dairy farms under non-optimised and optimised fertiliser N use. Model outputs showed for example, that organic dairy systems based on grass-clover swards and maize silage resulted in much smaller total GHG emissions per l of milk and slightly smaller losses of NO3 leaching and NOx emissions per l of milk compared with the grassland/maize-based conventional systems. These differences were essentially because the conventional systems rely on indirect energy use for ‘fixing’ N compared with biological N fixation for the organic systems. SIMSDAIRY runs also showed some other potential benefits from the organic systems compared with conventional systems in terms of financial performance and soil quality and biodiversity scores. Optimisation of fertiliser N timings and rates showed a considerable scope to reduce the (GHG emissions per l milk too).
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