Short communication: genetic evaluation of the interval from first to last insemination with survival analysis and linear models.

Short communication: genetic evaluation of the interval from first to last insemination with survival analysis and linear models. Research Abstract Details 

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Short communication: genetic evaluation of the interval from first to last insemination with survival analysis and linear models. Abstract Text:

M Del P Schneider,E Strandberg,V Ducrocq,A Roth,

Sire breeding values for the interval between the first and last insemination were predicted using 4 proportional hazards models (survival analyses) and 2 linear mixed models to determine which would result in a more accurate genetic evaluation. A stochastic simulation describing the reproductive cycle of first-parity cows was conducted, in which true breeding values for conception rate were created. The model included the effects of sire and herd. The highest correlations between true breeding values for conception rate and breeding values for the interval between first and last insemination predicted by the survival analysis model and the linear model were 0.803 and 0.744, respectively. The results showed that when pregnancy status was known, survival models were more accurate than linear models to predict breeding values for conception rate when using observations on the interval between first and last insemination.

Short communication: genetic evaluation of the interval from first to last insemination with survival analysis and linear models. Publishing Authors By Initials

Mdel Schneider,E Strandberg,V Ducrocq,A Roth,

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Short communication: genetic evaluation of the interval from first to last insemination with survival analysis and linear models. Journal Published:

PUBLICATION TYPE: Research Support, Non-U.S. Gov

Journal: Journal of dairy science

VOLUME: 89

Page Numbers: 4903-6

Journal Abbreviation: J. Dairy Sci.

ISSN: 1525-3198

DAY: 19

MONTH: Dec

YEAR: 2006

Short communication: genetic evaluation of the interval from first to last insemination with survival analysis and linear models. Information

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LANGUAGE: eng

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AFFILIATION: Department of Animal Breeding and Genetics, Swedish University of Agricultural Sciences (SLU), P.O. Box 7023, SE-75007 Uppsala, Sweden. Pilar.Schneider@hgen.slu.se

Country: United States

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MEDLINETA: J Dairy Sci

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