Predictions for voluntary dry matter intake in dairy cows
The objective of this thesis was to compare and evaluate five different dry matter intake (DMI) models and to find factors important for DMI prediction based on data from studies conducted in Sweden, Norway, Denmark and Finland. Differences between intake models and the input factors used for calcul...
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| Formato: | Otro |
| Lenguaje: | sueco Inglés |
| Publicado: |
2005
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| Materias: | |
| Acceso en línea: | https://stud.epsilon.slu.se/12366/ |
| Sumario: | The objective of this thesis was to compare and evaluate five different dry matter intake (DMI) models and to find factors important for DMI prediction based on data from studies conducted in Sweden, Norway, Denmark and Finland. Differences between intake models and the input factors used for calculation of dry matter intake for lactating dairy cows are described. Five different systems for calculation of the dry matter intake (DMI) for dairy cows were evaluated. The systems described and evaluated are LFU (Lantmännen feed division), CNCPS (Cornell Net Carbohydrate and Protein System), NRC (National Research Council), DFFS (Danish Fill Factor System) and NAAT (Norwegian AAT). The data used in the evaluation part originated from Sweden, Denmark, Finland and Norway. The data used in the meta-analysis was compiled for use in the development process of the new common Nordic feed evaluation system named NorFor.
The DMI prediction systems were compared using linear regression between DMI observed and DMI predicted by the different systems. Correlation analysis was used to select the factors' relationships.
The most important factors for DMI prediction, based on correlation analysis, are milk yield, week of lactation, concentrate proportion of feed and Neutral Detergent Fibre (NDF) content of feed. A conclusion from this work is a recommendation to the NorFor project group to choose the DFFS system as a basis to further develop their feed evaluation system, NorFor Plan. |
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