Genetic relationship of discrete-time survival with fertility and production in dairy cattle using bivariate models

被引:20
作者
Gonzalez-Recio, Oscar [1 ]
Alenda, Rafael [1 ]
机构
[1] Univ Politecn Madrid, ETSI Agron, Dept Prod Anim, Madrid 28040, Spain
关键词
discrete-time survival; fertility; production; sequential threshold model; CENSORED NORMAL-DISTRIBUTION; FEMALE FERTILITY; MILK-PRODUCTION; HOLSTEIN COWS; US HOLSTEINS; TRAITS; REGRESSION; LONGEVITY; SELECTION; LIFE;
D O I
10.1051/gse:2007010
中图分类号
S8 [畜牧、 动物医学、狩猎、蚕、蜂];
学科分类号
0905 ;
摘要
Bivariate analyses of functional longevity in dairy cattle measured as survival to next lactation ( SURV) with milk yield and fertility traits were carried out. A sequential threshold-linear censored model was implemented for the analyses of SURV. Records on 96 642 lactations from 41 170 cows were used to estimate genetic parameters, using animal models, for longevity, 305 d- standardized milk production ( MY305), days open ( DO) and number of inseminations to conception ( INS) in the Spanish Holstein population; 31% and 30% of lactations were censored for DO and INS, respectively. Heritability estimates for SURV and MY305 were 0.11 and 0.27 respectively; while heritability estimates for fertility traits were lower ( 0.07 for DO and 0.03 for INS). Antagonist genetic correlations were estimated between SURV and fertility (- 0.78 and - 0.54 for DO and INS, respectively) or production (- 0.53 for MY305), suggesting reduced functional longevity with impaired fertility and increased milk production. Longer days open seems to affect survival more than increased INS. Also, high productive cows were more problematic, less functional and more liable to being culled. The results suggest that the sequential threshold model is a method that might be considered at evaluating genetic relationship between discrete- time survival and other traits, due to its flexibility.
引用
收藏
页码:391 / 404
页数:14
相关论文
共 37 条
[1]   Sequential ordinal modeling with applications to survival data [J].
Albert, JH ;
Chib, S .
BIOMETRICS, 2001, 57 (03) :829-836
[2]  
[Anonymous], LIKELIHOOD BAYESIAN
[3]  
BROTHERSTONE S, 2002, P 7 WORLD C GEN APPL
[4]   Prediction of longevity breeding values for US Holstein sires using survival analysis methodology [J].
Caraviello, DZ ;
Weigel, KA ;
Gianola, D .
JOURNAL OF DAIRY SCIENCE, 2004, 87 (10) :3518-3525
[5]   MIXED-MODEL ANALYSIS OF A CENSORED NORMAL-DISTRIBUTION WITH REFERENCE TO ANIMAL BREEDING [J].
CARRIQUIRY, AL ;
GIANOLA, D ;
FERNANDO, RL .
BIOMETRICS, 1987, 43 (04) :929-939
[6]   Bivariate analysis of number of services to conception and days open in Norwegian red using a censored threshold-linear model [J].
Chang, YM ;
Andersen-Ranberg, IM ;
Heringstad, B ;
Gianola, D ;
Klemetsdal, G .
JOURNAL OF DAIRY SCIENCE, 2006, 89 (02) :772-778
[7]  
CHIRINOS Z, 2002, P 7 WORLD C GEN APPL
[8]   A bivariate quantitative genetic model for a linear Gaussian trait and a survival trait [J].
Damgaard, LH ;
Korsgaard, IR .
GENETICS SELECTION EVOLUTION, 2006, 38 (01) :45-64
[9]   Body condition scores and dairy form evaluations as indicators of days open in US Holsteins [J].
Dechow, CD ;
Rogers, GW ;
Klei, L ;
Lawlor, TJ ;
VanRaden, PM .
JOURNAL OF DAIRY SCIENCE, 2004, 87 (10) :3534-3541
[10]   LENGTH OF PRODUCTIVE LIFE OF DAIRY-COWS .2. VARIANCE COMPONENT ESTIMATION AND SIRE EVALUATION [J].
DUCROCQ, V ;
QUAAS, RL ;
POLLAK, EJ ;
CASELLA, G .
JOURNAL OF DAIRY SCIENCE, 1988, 71 (11) :3071-3079