Document Detail


Technical note: variation in daily milk yield calculations for dairy cows milked in an automatic milking system.
MedLine Citation:
PMID:  20172228     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
An accurate estimation of the daily milk yield of dairy cows milked in an automatic milking system is not obvious because of variations in milking intervals and frequencies. Daily harvested milk varies substantially, and developing a method to be used for estimating daily milk production is of great importance. Three calculation methods (simple, semiadvanced, and advanced) were used. The simple method calculated rough daily milk production by summing up the yield per day. The semiadvanced used yield in combination with time since last milking to calculate the milk production per hour between milking; an average of the milk production per hour over the day was calculated and multiplied by 24. The advanced method calculated the milk production from midnight to midnight by using information about yield and time since last milking to calculate the exact milk production. The results show a clear preference for the advanced calculation method because the variation [variation for the advanced method=ln(1.79) for first lactation and ln(2.28) for later lactations] between days was reduced significantly (3 to 4 times lower compared with the simple method). Variation in daily harvested milk can be used as a management tool.
Authors:
P P Nielsen; G Pettersson; K M Svennersten-Sjaunja; L Norell
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Publication Detail:
Type:  Journal Article; Research Support, Non-U.S. Gov't    
Journal Detail:
Title:  Journal of dairy science     Volume:  93     ISSN:  1525-3198     ISO Abbreviation:  J. Dairy Sci.     Publication Date:  2010 Mar 
Date Detail:
Created Date:  2010-02-22     Completed Date:  2010-04-29     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  2985126R     Medline TA:  J Dairy Sci     Country:  United States    
Other Details:
Languages:  eng     Pagination:  1069-73     Citation Subset:  IM    
Affiliation:
Department of Animal Nutrition and Management, Swedish University of Agricultural Sciences, Kungs?ngen Research Centre, Uppsala, Sweden. per.peetz.nielsen@huv.slu.se
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MeSH Terms
Descriptor/Qualifier:
Animals
Cattle / physiology*
Dairying / instrumentation,  methods*
Female
Lactation / physiology*
Milk / secretion*
Models, Biological*
Regression Analysis

From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine


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