Document Detail


Predicting optimal time of insemination in cows that show visual signs of estrus by estimating onset of estrus with pedometers.
MedLine Citation:
PMID:  9201579     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
An experiment was designed to estimate the optimal interval from the beginning of estrus to artificial insemination (AI). The data were analyzed by means of a mathematical model. The analysis was based on pedometer readings and results of rectal palpation at 42 to 49 d post-AI of 171 breedings in 121 cows. The chance of conception was highest between 6 and 17 h after increased pedometer activity; the estimated optimum was at 11.8 h. In this data file, the effects of disease, inseminator, time of AI (a.m. or p.m.), and bull did not contribute to the improvement of the model. The effects of disease were not significant because of the low incidence of any specific disease. Activity measurements can be used as a tool for AI strategy to improve conception in groups of healthy cows and heifers already showing visual signs of estrus.
Authors:
K Maatje; S H Loeffler; B Engel
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Publication Detail:
Type:  Journal Article; Research Support, Non-U.S. Gov't    
Journal Detail:
Title:  Journal of dairy science     Volume:  80     ISSN:  0022-0302     ISO Abbreviation:  J. Dairy Sci.     Publication Date:  1997 Jun 
Date Detail:
Created Date:  1997-09-11     Completed Date:  1997-09-11     Revised Date:  2006-11-15    
Medline Journal Info:
Nlm Unique ID:  2985126R     Medline TA:  J Dairy Sci     Country:  UNITED STATES    
Other Details:
Languages:  eng     Pagination:  1098-105     Citation Subset:  IM    
Affiliation:
Institute for Animal Science and Health, Lelystad, The Netherlands.
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MeSH Terms
Descriptor/Qualifier:
Animals
Cattle / physiology*
Estrus / physiology*
Female
Fertilization / physiology
Insemination, Artificial / instrumentation,  methods,  veterinary*
Linear Models*
Male
Models, Biological*
Parity
Pregnancy
Pregnancy Rate
Probability
Time Factors
Walking / physiology

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


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