title: Validating a model that predicts daily growth and feed quality of New Zealand dairy pastures.
abstract: The Pasture Quality (PQ) model is a simple, mechanistic, dynamical system model that was designed to capture the essential biological processes in grazed grass-clover pasture, and to be optimised to derive improved grazing strategies for New Zealand dairy farms. While the individual processes represented in the model (photosynthesis, tissue growth, flowering, leaf death, decomposition, worms) were based on experimental data, this did not guarantee that the assembled model would accurately predict the behaviour of the system as a whole (i.e., pasture growth and quality). Validation of the whole model was thus a priority, since any strategy derived from the model could impact a farm business in the order of thousands of dollars per annum if adopted. This paper describes the process of defining performance criteria for the model, obtaining suitable data to test the model, and carrying out the validation analysis. The validation process highlighted a number of weaknesses in the model, which will lead to the model being improved. As a result, the model's utility will be enhanced. Furthermore, validation was found to have an unexpected additional benefit, in that despite the model's poor initial performance, support was generated for the model among field scientists involved in the wider project.
authors.affiliation: Systems Modelling Group, AgResearch, Hamilton, New Zealand. simon.woodward@agresearch.co.nz
authors.forename: S J
authors.initials: SJ
authors.lastname: Woodward
mesh_terms: D000383:Agriculture; D000818:Animals; D002417:Cattle; D005544:Forecasting; D008129:Lolium / Q000254:growth & development* / Q000378:metabolism; D008962:Models, Theoretical; D010788:Photosynthesis; D010945:Plants, Edible / Q000254:growth & development; D012621:Seasons