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Arnerdal, Sofia, 2005. Predictions for voluntary dry matter intake in dairy cows. SLU, Dept. of Animal Nutrition and Management, Uppsala. Uppsala: SLU, Dept. of Animal Nutrition and Management

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Abstract

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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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.

Main title:Predictions for voluntary dry matter intake in dairy cows
Authors:Arnerdal, Sofia
Supervisor:Eriksson, Torsten
Examiner:UNSPECIFIED
Series:Examensarbete / Sveriges lantbruksuniversitet, Institutionen för husdjurens utfodring och vård
Volume/Sequential designation:211
Year of Publication:2005
Level and depth descriptor:Other
Student's programme affiliation:1010A Agriculture Programme (admitted before July 1, 2007) 270 HEC
Department:(VH) > Dept. of Animal Nutrition and Management
Keywords:intake prediction, dairy cows, fill factor, NorFor
URN:NBN:urn:nbn:se:slu:epsilon-s-7969
Permanent URL:
http://urn.kb.se/resolve?urn=urn:nbn:se:slu:epsilon-s-7969
Subjects:Animal feeding
Language:English
Deposited On:18 Oct 2017 10:12
Metadata Last Modified:18 Oct 2017 10:12

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