Estimation of genetic parameters for longevity considering the cow's age at last calving

Autor(es)

Caetano, Sabrina L. ^[1] ; Rosa, Guilherme J. M. ; Savegnago, Rodrigo P. ^[3]

Afiliação do(s) autor(es)

^[1] Univ Sao Paulo, Dept Genet, Fac Med Ribeirao Preto, BR-14049900 Ribeirao Preto, SP, Brazil. Lobo, Raysildo B., ANCP, BR-14020230 Ribeirao Preto, SP, Brazil. de Paz, Claudia C. P., Ctr APTA Agencia Paulista Tecnol Agronegoc Bovino, Inst Zootecnia, BR-14174 - Brazil

^[2] Univ Sao Paulo, Dept Genet, Fac Med Ribeirao Preto, BR-14049900 Ribeirao Preto, SP, Brazil. Lobo, Raysildo B., ANCP, BR-14020230 Ribeirao Preto, SP, Brazil. de Paz, Claudia C. P., Ctr APTA Agencia Paulista Tecnol Agronegoc Bovino, Inst Zootecnia, BR-14174000 Sertozinho, SP - Brazil

• Tipo de documento: Artigo Científico
• Fonte: JOURNAL OF APPLIED GENETICS; v. 58, n. 1, p. 103-109, FEB 2017.
• Citações Web of Science: 1

Resumo

The aim of this study was to estimate heritability and predict breeding values for longevity among cows in herds of Nellore breed, considering the trait cow's age at last calving (ALC), by means of survival analysis methodology. The records of 11,791 animals from 22 farms were used. The variable ALC has been used by a criterion that made it possible to include cows not only at their first calving but also at their ninth calving. The criterion used was the difference between the date of each cow's last calving and the date of the last calving on each farm. If this difference was greater than 36 months, the cow was considered to have failed and uncensored. If not, this cow was censored, thus indicating that future calving remained possible for this cow. The survival model used for the analyses was the proportional hazards model, and the base risk was given by a Weibull distribution. The heritability estimate obtained was equal to 0.25. It was found that the ALC variable had the capacity to respond to selection for the purpose of increasing the longevity of the cows in the herds. (AU)

• Processo FAPESP: 13/09364-5 - Estimativas de parâmetros populacionais e genéticos e tendências genéticas para características de importância econômica em bovinos Tabapuã
• Beneficiário: Priscila Arrigucci Bernardes
• Modalidade de apoio: Bolsas no Brasil - Mestrado
• Processo FAPESP: 13/20091-0 - Predição de valores genéticos em populações experimentais de camundongos utilizando genotipagem seletiva
• Beneficiário: Rodrigo Pelicioni Savegnago
• Modalidade de apoio: Bolsas no Brasil - Pós-Doutorado
• Processo FAPESP: 10/05903-0 - Análise de sobrevivência da permanência de vacas nos rebanhos da raça nelore
• Beneficiário: Sabrina Luzia Caetano
• Modalidade de apoio: Bolsas no Brasil - Doutorado