Simulating grazing beef and sheep systems. (January 2022)

• Record Type: Journal Article
• Authors: Wu, L.; Harris, P.; Misselbrook, T.H.; Lee, M.R.F.
• Is Part Of: Agricultural systems. Volume 195(2022)
• Publication Date: 2022-01
• Subjects: SPACSYS -- North Wyke Farm Platform -- Grazing -- Modelling -- Liveweight; Agricultural systems -- Periodicals; Agriculture -- Environmental aspects -- Periodicals; 338.16
• DOI: 10.1016/j.agsy.2021.103307
• Languages: English
• ISSNs: 0308-521X

Abstract

Abstract: CONTEXT: Ruminant livestock make an important contribution to global food security by converting feed that is unsuitable for human consumption into high value food protein, demand for which is currently increasing at an unprecedented rate because of increasing global population and income levels. Factors affecting production efficiency, product quality, and consumer acceptability, such as animal fertility, health and welfare, will ultimately define the sustainability of ruminant production systems. These more complex systems can be developed and analysed by using models that can predict system responses to environment and management. OBJECTIVE: We present a framework that dynamically models, using a process-based and mechanistic approach, animal and grass growth, nutrient cycling and water redistribution in a soil profile taking into account the effects of animal genotype, climate, feed quality and quantity on livestock production, greenhouse gas emissions, water use and quality, and nutrient cycling in a grazing system. METHODS: A component to estimate ruminant animal growth was developed and integrated with the existing components of the SPACSYS model. Intake of herbage and/or concentrates and partitioning of the energy and protein contained in consumed herbage and/or concentrates were simulated in the component. Simulated animal growth was validated using liveweight data from over 200 finishing beef cattle and 900 lambs collected from the North Wyke Farm Platform (NWFP) in southwest England, UK, between 2011 and 2018. Annual nitrous oxide (N2 O), ammonia, methane and carbon dioxide emissions from individual fields were simulated based on previous validated parameters. RESULTS AND CONCLUSIONS: A series of statistical indicators demonstrated that the model could simulate liveweight gain of beef cattle and lamb. Simulated nitrogen (N) cycling estimated N input of 190 to 260 kg ha −1, of which 37–61% was removed from the fields either as silage or animal intake, 15–26% was lost through surface runoff or lateral drainage and 1.14% was emitted to the atmosphere as N2 O. About 13% of the manure N applied to the NWFP and excreta N deposited at grazing was lost via ammonia volatilisation. SIGNIFICANCE: The extended model has the potential to investigate the responses of the system on and consequences of a range of agronomic management and grazing strategies. However, modelling of multi-species swards needs to be validated including the dynamics of individual species in the swards, preferential selection by grazing animals and the impact on animal growth and nutrient flows. Graphical abstract: Unlabelled Image Highlights: Animal-plants-environment interactions in complexed livestock systems need process-based models to be investigated. Functions in an existing model were extend and validated based on a data-rich monitoring farm platform. The extended model accurately simulated liveweight changes of beef and lamb within the natural variations expected. Simulated emissions (N2 O, NH3, CH4 and CO2 ) and components in the nitrogen budget are compatible with the published values. The model has the potential to investigate the consequences of agronomic practices and grazing strategies.