Survival Analysis for Length of Productive Life of Beef Cows

Karin Meyer

Survival Analysis for Length of Productive Life of Beef Cows

Karin Meyer

Animal Genetics and Breeding Unit

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

Survival analysis is applied to records for length of productive life of Angus cows, fitting several proportional hazards models. It is shown that a piece-wise Weibull model with a time-dependent stage effect can model the distinct annual culling pattern reasonably well. Analyses fitting a sire model suggest some genetic variability, with heritability estimates on the logarithmic scale ranging from 6 to 10%. Issues of data quality and the need for whole herd inventory recording are discussed.

Original language	English
Title of host publication	Proceedings of the Association for the Advancement of Animal Breeding and Genetics
Editors	Alex Safari, Bill Pattie, Barrie Restall
Place of Publication	Armidale, Australia
Publisher	Association for the Advancement of Animal Breeding and Genetics (AAABG)
Pages	608-611
Volume	18
ISBN (Print)	9780646521039
Publication status	Published - 2009
Event	AAABG 2009: 18th Conference of the Association for the Advancement of Animal Breeding and Genetics - Barossa Valley, Australia Duration: 27 Sept 2009 → 2 Oct 2009

Conference

Conference	AAABG 2009: 18th Conference of the Association for the Advancement of Animal Breeding and Genetics
City	Barossa Valley, Australia
Period	27/09/09 → 2/10/09

Keywords

Animal Breeding
Quantitative Genetics (incl Disease and Trait Mapping Genetics)

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https://hdl.handle.net/1959.11/5273

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Cite this

@inproceedings{9be683d23719462fb55265dbe6f22eac,

title = "Survival Analysis for Length of Productive Life of Beef Cows",

abstract = "Survival analysis is applied to records for length of productive life of Angus cows, fitting several proportional hazards models. It is shown that a piece-wise Weibull model with a time-dependent stage effect can model the distinct annual culling pattern reasonably well. Analyses fitting a sire model suggest some genetic variability, with heritability estimates on the logarithmic scale ranging from 6 to 10\%. Issues of data quality and the need for whole herd inventory recording are discussed.",

keywords = "Animal Breeding, Quantitative Genetics (incl Disease and Trait Mapping Genetics)",

author = "Karin Meyer",

year = "2009",

language = "English",

isbn = "9780646521039",

volume = "18",

pages = "608--611",

editor = "Alex Safari and Bill Pattie and Barrie Restall",

booktitle = "Proceedings of the Association for the Advancement of Animal Breeding and Genetics",

publisher = "Association for the Advancement of Animal Breeding and Genetics (AAABG)",

note = "AAABG 2009: 18th Conference of the Association for the Advancement of Animal Breeding and Genetics ; Conference date: 27-09-2009 Through 02-10-2009",

}

Meyer, K 2009, Survival Analysis for Length of Productive Life of Beef Cows. in A Safari, B Pattie & B Restall (eds), Proceedings of the Association for the Advancement of Animal Breeding and Genetics. vol. 18, Association for the Advancement of Animal Breeding and Genetics (AAABG), Armidale, Australia, pp. 608-611, AAABG 2009: 18th Conference of the Association for the Advancement of Animal Breeding and Genetics, Barossa Valley, Australia, 27/09/09. <https://hdl.handle.net/1959.11/5273>

Survival Analysis for Length of Productive Life of Beef Cows. / Meyer, Karin.
Proceedings of the Association for the Advancement of Animal Breeding and Genetics. ed. / Alex Safari; Bill Pattie; Barrie Restall. Vol. 18 Armidale, Australia: Association for the Advancement of Animal Breeding and Genetics (AAABG), 2009. p. 608-611.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Survival Analysis for Length of Productive Life of Beef Cows

AU - Meyer, Karin

PY - 2009

Y1 - 2009

N2 - Survival analysis is applied to records for length of productive life of Angus cows, fitting several proportional hazards models. It is shown that a piece-wise Weibull model with a time-dependent stage effect can model the distinct annual culling pattern reasonably well. Analyses fitting a sire model suggest some genetic variability, with heritability estimates on the logarithmic scale ranging from 6 to 10%. Issues of data quality and the need for whole herd inventory recording are discussed.

AB - Survival analysis is applied to records for length of productive life of Angus cows, fitting several proportional hazards models. It is shown that a piece-wise Weibull model with a time-dependent stage effect can model the distinct annual culling pattern reasonably well. Analyses fitting a sire model suggest some genetic variability, with heritability estimates on the logarithmic scale ranging from 6 to 10%. Issues of data quality and the need for whole herd inventory recording are discussed.

KW - Animal Breeding

KW - Quantitative Genetics (incl Disease and Trait Mapping Genetics)

UR - http://www.aaabg.org/proceedings18/files/meyer608.pdf

UR - http://trove.nla.gov.au/work/36420775

UR - http://aaabg.org/aaabg18/

M3 - Conference contribution

SN - 9780646521039

VL - 18

SP - 608

EP - 611

BT - Proceedings of the Association for the Advancement of Animal Breeding and Genetics

A2 - Safari, Alex

A2 - Pattie, Bill

A2 - Restall, Barrie

PB - Association for the Advancement of Animal Breeding and Genetics (AAABG)

CY - Armidale, Australia

T2 - AAABG 2009: 18th Conference of the Association for the Advancement of Animal Breeding and Genetics

Y2 - 27 September 2009 through 2 October 2009

ER -

Survival Analysis for Length of Productive Life of Beef Cows

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Keywords

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