Genetic analysis of calf survival at different preweaning ages in beef cattle

Goyache, F.; Gutiérrez, Juan Pablo; Álvarez, Isabel; Fernández, I.; Royo, Luis J.; Gómez, Ernesto A.

doi:10.1016/s0301-6226(03)00044-7

Cited by 34 publications

(62 citation statements)

References 29 publications

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“…Calf losses were recorded in the CORECA database with the following scores: 1 (calf alive at weaning), 2 (calf sold before weaning), 3 (calf alive at 72 h but dead before weaning), 4 (calf alive at birth but dead within 72 h), and 5 (calf dead at birth). From these scores, CS was defined as a dichotomous variable considering calf loss scores 3, 4, and 5 as 1 and scores 1 and 2 as 0 (Goyache et al, 2003). Altogether, total records available were as follows: 35,395 CE, 30,684 GL, and 36,132 CS.…”

Section: Methodsmentioning

confidence: 99%

“…Genetic studies on CS in beef cattle are scarce (Goyache et al, 2003;Tarrés et al, 2005;Guerra et al, 2006). Moreover, the available information on the genetic relationships between CE and CS is basically found in dairy cattle (Eriksson et al, 2004;Hansen et al, 2004;Cole et al, 2007).…”

Section: Introductionmentioning

confidence: 99%

“…We have estimated genetic parameters for CS at different calf ages (Goyache et al, 2003) and the genetic relationships between CE and BrW, weaning weight, and calving interval in the Asturiana de los Valles beef cattle breed (Gutiérrez et al, 2007). Our interest now is to establish the genetic basis affecting traits that have been shown to be economically important in beef cattle Genetic relationships among calving ease, gestation length, and calf survival to weaning in the Asturiana de los Valles beef cattle breed 1 I. Cervantes,* J. P. Gutiérrez,* 2 I. Fernández, † and F. Goyache † so as to include these in the breeding objective (Gutiér-rez et al, 2002(Gutiér-rez et al, , 2006Goyache et al, 2005).…”

Section: Introductionmentioning

confidence: 99%

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Genetic relationships among calving ease, gestation length, and calf survival to weaning in the Asturiana de los Valles beef cattle breed1

Cervantes

Gutiérrez

Fernández

et al. 2010

Journal of Animal Science

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Section: Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Genetic relationships among calving ease, gestation length, and calf survival to weaning in the Asturiana de los Valles beef cattle breed1

Cervantes

Gutiérrez

Fernández

et al. 2010

Journal of Animal Science

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“…Due to the small size of the farms, performance recording was implemented on nucleus farms, grouping farms according to their proximity and their production system, further considering the nucleus as the management unit (Cervantes et al, 2010;Goyache et al, 2003aGoyache et al, , 2003bGoyache et al, , 2005. Animals with identification errors or ambiguous birth dates were excluded from the analysis.…”

Section: Methodsmentioning

confidence: 99%

Cytoplasmic line effects for birth weight and preweaning growth traits in the Asturiana de los Valles beef cattle breed

2012

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A total of 15,645 records of birth weight (BrW), weaning weight (WW) and average daily gain (ADG) from 6055 cows belonging to 2121 different dam lines were analyzed to quantify the contribution of cytoplasmic line (l) effects to phenotypic variance of preweaning growth traits in a sample of Asturiana de los Valles beef cattle breed. Only dam lines with 2 or more cows having performance records in the database were used. Bayesian estimates were obtained fitting eight different univariate and multivariate models defined depending on the inclusion or not of the permanent maternal environment (c) and the l effects. Univariate models that included both the c and the l effects had the best fit with data (assessed by computing the logarithm of the conditional predictive ordinate; logCPO) for BrW and ADG while for WW this was the case for the model that only included the c effect. For multivariate models, the best fit with data was obtained for the model that only included the c effect (logCPO = − 245,899) while the second "better" model was that which only include the l effect value (logCPO = − 241,108). In general, whatever the estimation model used, estimates of heritability for the direct (h 2 ) and maternal (m 2 ) genetic effects and the genetic correlation between them (r am ) obtained in the current study for BrW were slightly higher (r am more negative) than the most recent estimates reported in the breed. However, this is not true for WW and ADG when multivariate estimation models include the l effect. In these cases, estimates of h 2 and m 2 for WW and ADG tend to be lower and r am less negative than those previously estimated. In conclusion, the cytoplasmic line may have a marginal effect on growth performance in beef cattle but not sufficient in magnitude to justify including the l effect in models in beef improvement schemes.

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“…Low heritability of survival has been found in diverse taxonomic groups in farmed terrestrial animals (e.g. van Arendonk et al, 1996;Ducrocq et al, 2000 ;Knol et al, 2002;Goyache et al, 2003 ;Casellas et al, 2007 ;Su et al, 2008) and in wild organisms (e.g. Futuyma et al, 1995;Campbell, 1997).…”

Section: (Iii) Factors Causing Weak Correlations Between Life Stagesmentioning

confidence: 99%

Genetic architecture of rainbow trout survival from egg to adult

Vehviläinen

Kause

Koskinen³

et al. 2010

Genet. Res.

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SummarySurvival from birth to a reproductive adult is a challenge that only robust individuals resistant to a variety of mortality factors will overcome. To assess whether survival traits share genetic architecture throughout the life cycle, we estimated genetic correlations for survival within fingerling stage, and across egg, fingerling and grow-out stages in farmed rainbow trout. Genetic parameters of survival at three life cycle stages were estimated for 249 166 individuals originating from ten year classes of a pedigreed population. Despite being an important fitness component, survival traits harboured significant but modest amount of genetic variation (h 2 =0 . 07-0 . 27). Weak associations between survival during egg-fry and fingerling periods, between early and late fingerling periods (r G =0 . 30) and generally low genetic correlations between fingerling and grow-out survival (mean r G =0 . 06) suggested that life-stage specific survival traits are best regarded as separate traits. However, in the sub-set of data with detailed time of death records, positive genetic correlations between early and late fingerling survival (r G =0 . 89) showed that during certain years the best genotypes in the early period were also among the best in the late period. That survival across fingerling period can be genetically the same, trait was indicated also by only slightly higher heritability (h 2 =0 . 15) estimated with the survival analysis of time to death during fingerling period compared to the analysis treating fingerling survival as a binary character (h 2 =0 . 11). The results imply that (1) inherited resistance against unknown mortality factors exists, but (2) ranking of genotypes changes across life stages.

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Genetic analysis of calf survival at different preweaning ages in beef cattle

Cited by 34 publications

References 29 publications

Genetic relationships among calving ease, gestation length, and calf survival to weaning in the Asturiana de los Valles beef cattle breed1

Genetic relationships among calving ease, gestation length, and calf survival to weaning in the Asturiana de los Valles beef cattle breed1

Cytoplasmic line effects for birth weight and preweaning growth traits in the Asturiana de los Valles beef cattle breed

Genetic architecture of rainbow trout survival from egg to adult

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