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Please use this identifier to cite or link to this item: http://acervodigital.unesp.br/handle/11449/74950
Title: 
Characterization of the variable cow's age at last calving as a measurement of longevity by using the Kaplan-Meier estimator and the Cox model
Author(s): 
Institution: 
  • Universidade Estadual Paulista (UNESP)
  • University of Wisconsin
  • Universidade de São Paulo (USP)
  • ANCP - Associação Nacional de Criadores e Pesquisadores
  • Agência Paulista de Tecnologia dos Agronegócios (APTA)
ISSN: 
  • 1751-7311
  • 1751-732X
Abstract: 
In most studies on beef cattle longevity, only the cows reaching a given number of calvings by a specific age are considered in the analyses. With the aim of evaluating all cows with productive life in herds, taking into consideration the different forms of management on each farm, it was proposed to measure cow longevity from age at last calving (ALC), that is, the most recent calving registered in the files. The objective was to characterize this trait in order to study the longevity of Nellore cattle, using the Kaplan-Meier estimators and the Cox model. The covariables and class effects considered in the models were age at first calving (AFC), year and season of birth of the cow and farm. The variable studied (ALC) was classified as presenting complete information (uncensored = 1) or incomplete information (censored = 0), using the criterion of the difference between the date of each cow's last calving and the date of the latest calving at each farm. If this difference was >36 months, the cow was considered to have failed. If not, this cow was censored, thus indicating that future calving remained possible for this cow. The records of 11 791 animals from 22 farms within the Nellore Breed Genetic Improvement Program ('Nellore Brazil') were used. In the estimation process using the Kaplan-Meier model, the variable of AFC was classified into three age groups. In individual analyses, the log-rank test and the Wilcoxon test in the Kaplan-Meier model showed that all covariables and class effects had significant effects (P < 0.05) on ALC. In the analysis considering all covariables and class effects, using the Wald test in the Cox model, only the season of birth of the cow was not significant for ALC (P > 0.05). This analysis indicated that each month added to AFC diminished the risk of the cow's failure in the herd by 2%. Nonetheless, this does not imply that animals with younger AFC had less profitability. Cows with greater numbers of calvings were more precocious than those with fewer calvings. Copyright © The Animal Consortium 2012.
Issue Date: 
1-Apr-2013
Citation: 
Animal, v. 7, n. 4, p. 540-546, 2013.
Time Duration: 
540-546
Keywords: 
  • beef cattle
  • cow's age at calving
  • Cox model
  • Kaplan-Meier estimator
  • aging
  • animal
  • biological model
  • birth
  • Brazil
  • cattle
  • female
  • Kaplan Meier method
  • longevity
  • physiology
  • pregnancy
  • proportional hazards model
  • Aging
  • Animals
  • Cattle
  • Female
  • Kaplan-Meier Estimate
  • Longevity
  • Models, Biological
  • Parturition
  • Pregnancy
  • Proportional Hazards Models
Source: 
http://dx.doi.org/10.1017/S1751731112001826
URI: 
Access Rights: 
Acesso restrito
Type: 
outro
Source:
http://repositorio.unesp.br/handle/11449/74950
Appears in Collections:Artigos, TCCs, Teses e Dissertações da Unesp

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