| Autor: |
Stygar, Anna Helena, Krogh, Mogens Agerbo, Østergaard, Søren, Kristensen, Anders Ringgaard |
| Přispěvatelé: |
Kamphuis, Claudia, Steeneveld, Wilma |
| Jazyk: |
angličtina |
| Rok vydání: |
2016 |
| Zdroj: |
Stygar, A H, Krogh, M A, Østergaard, S & Kristensen, A R 2016, Tool for assessing the intervention effect on milk production in an evolutionary operation setup . in C Kamphuis & W Steeneveld (eds), Precision Dairy Farming 2016 . Wageningen Academic Publicers, pp. 233-237 . https://doi.org/10.3920/978-90-8686-829-2 |
| Popis: |
Modern dairy herds resemble factories. Cows, organized in production units, are manufacturing milk from many components (e.g. concentrates, silage). However, both production units and components can greatly differ between each other. Therefore, production optimization based on general recommendations might be inefficient. Instead, as in manufacturing industry, decision support could be based on systematic experimentation within ongoing production system. This concept, known as Evolutionary Operations (EVOP), is based on small changes to the production system. However, a challenge here is lack of a tool which would allow a farmer to assess how small changes, for example in feeding, influence productivity. The objective of this study was to construct a multivariate dynamic linear model (DLM) to assess the intervention effect on milk production.The DLM was built to account for intervention at individual and herd level. It consisted of an observation and a system equation. The observation equation links the observations to parameters describing the herd (lactation curve), individual cows and an intervention effect. The system equation expresses how the parameters may change over time. The lactation curve was modeled by two linear expressions and was parameterized using: milk yield 60 days after calving, slope over the first 60 days in milk and slope after 60 days in milk. The variance components of the DLM were estimated using a maximum likelihood method. The application of the model was demonstrated on a field experiment in a commercial herd with 4 automatic milking systems (AMS). The herd was split into 2 groups based on the AMS. The experiment relied on two steps. The first step was to reduce the feed energy given to cows in the AMS and instead supply the feed energy to the cows at the feed bunk. The second step was to reduce the feed energy given in two of the four AMS. The DLM presented here was successful in providing estimates of the effects on milk yield of change in feed energy given to the cows in the AMS. The DLM results support the sequential tactical decisions within EVOP and are readily applicable in other herd experiments. |
| Databáze: |
OpenAIRE |
| Externí odkaz: |
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