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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Autor principal: Arnerdal, Sofia
Formato: Otro
Lenguaje:sueco
Inglés
Publicado: 2005
Materias:
Acceso en línea:https://stud.epsilon.slu.se/12366/
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author Arnerdal, Sofia
author_browse Arnerdal, Sofia
author_facet Arnerdal, Sofia
author_sort Arnerdal, Sofia
collection Epsilon Archive for Student Projects
description 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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spelling RepoSLU123662017-10-18T10:12:33Z https://stud.epsilon.slu.se/12366/ Predictions for voluntary dry matter intake in dairy cows Arnerdal, Sofia Animal feeding 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. Syftet med detta arbete var att jämföra och utvärdera fem olika modeller för skattning av dagligt torrsubstansintag hos mjölkande kor baserat på nordiska data samt att undersöka vilka faktorer som är viktiga för beräkningarna. Fem olika modeller för beräkning av torrsubstansintag utvärderades och sambanden mellan faktorer som påverkar dagligt torrsubstansintag undersöktes. Modellerna som utvärderades var LFU (Lantmännens FoderUtveckling), CNCPS (Cornell Net Carbohydrate and Protein System), NRC (National Research Council), DFFS (Danskt FyllnadsFaktorSystem) och NAAT (Norsk AAT). Utvärderingen baseras på data från försök utförda i Norge, Danmark, Sverige och Finland. Systemen har jämförts med hjälp av linjära regressioner mellan observerat och skattat intag. De olika faktorernas inbördes förhållanden har undersökts med hjälp av korrelationer. Resultatet blev en rekommendation att vidareutveckla det danska systemet, DFFS, för att användas i det kommande Nordiska fodervärderingssystemet, NorFor Plan. De viktigaste faktorerna för skattning av dagligt torrsubstansintag enligt korrelationsanalysen på detta dataset var: mjölkavkastning, laktationsvecka, andel koncentrat i foderstaten samt totala NDF-halten i foderstaten. 2005-11-08 Other NonPeerReviewed application/pdf sv https://stud.epsilon.slu.se/12366/1/arnerdal_s_171018.pdf Arnerdal, Sofia, 2005. Predictions for voluntary dry matter intake in dairy cows. UNSPECIFIED, Uppsala. Uppsala: (VH) > Dept. of Animal Nutrition and Management (until 231231) <https://stud.epsilon.slu.se/view/divisions/OID-650.html> urn:nbn:se:slu:epsilon-s-7969 eng
spellingShingle Animal feeding
Arnerdal, Sofia
Predictions for voluntary dry matter intake in dairy cows
title Predictions for voluntary dry matter intake in dairy cows
title_full Predictions for voluntary dry matter intake in dairy cows
title_fullStr Predictions for voluntary dry matter intake in dairy cows
title_full_unstemmed Predictions for voluntary dry matter intake in dairy cows
title_short Predictions for voluntary dry matter intake in dairy cows
title_sort predictions for voluntary dry matter intake in dairy cows
topic Animal feeding
url https://stud.epsilon.slu.se/12366/
https://stud.epsilon.slu.se/12366/