Mortality in Austrian dual purpose Fleckvieh calves and heifers

Fuerst-Waltl, Birgit; Fuerst, Christian

doi:10.1016/j.livsci.2010.05.005

Cited by 18 publications

(12 citation statements)

References 25 publications

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“…Direct heritability estimates for stillbirths similar to those obtained for PRE in this study were reported by Meyer et al (2001; using logistic regression models), Eriksson et al (2004; using a linear animal model) and Fuerst-Waltl & Fuerst (2010; using a linear sire model, a threshold model and a linear animal model).…”

Section: Genetic Parameter Estimationsupporting

confidence: 81%

“…However, few studies have used this methodology, and most of these were conducted with taurine breeds, especially dairy cattle (Cole et al . ; Fuerst‐Waltl & Fuerst ).…”

Section: Introductionmentioning

confidence: 99%

“…According to Ibi et al (2014), the genetic parameters for postnatal calf mortality should be estimated with threshold models using Gibbs sampling. However, few studies have used this methodology, and most of these were conducted with taurine breeds, especially dairy cattle (Cole et al 2007;Fuerst-Waltl & Fuerst 2010).…”

Section: Introductionmentioning

confidence: 99%

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Genetic parameter estimates for prenatal and postnatal mortality in Nellore cattle

Silva

Baldi

Aboujaoude

et al. 2016

J Animal Breeding Genetics

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The aim of this study was to estimate genetic parameters for prenatal (PRE) and postnatal (POS) mortality in Nellore cattle. A total of 13 141 (PRE) and 17 818 (POS) records from Nellore females were used. PRE and POS were recorded using binary scale scores: a score of '1' was given to calves that were born alive (PRE) and those that were alive at weaning (POS), and a score of '0' was given to calves that were not alive at or around birth (PRE), as well as to those weighed at birth but not at weaning (POS). The relationship matrix included 698 sires, 107 paternal grandsires and 69 maternal grandsires. Data were analysed using Bayesian inference and a sire-maternal grandsire threshold model, including contemporary groups as random effects, and the classes of dam age at the beginning of mating season (for PRE), and dam age at calving and birthweight (linear covariable) (for POS), as fixed effects. For both traits, the covariance between direct and maternal effects (r ) was estimated (r ≠ 0) or fixed at zero (r = 0). PRE and POS rates were 3.00 and 4.04%, respectively. Estimates of direct and maternal heritability were 0.07 and 0.17, respectively, for PRE, and 0.02 and 0.07, respectively, for POS, assuming r = 0. For r ≠ 0, these estimates were 0.07 and 0.12, respectively, for PRE, and 0.03 and 0.07, respectively, for POS. The correlation estimates between direct and maternal effects were -0.71 (PRE) and -0.33 (POS). PRE and POS show low genetic variability, indicating that these traits probably suffer major environmental influences. Additionally, our study shows that the maternal genetic component affects preweaning calf mortality twice as much (or more) as the direct genetic component. A large number of offspring per sire is necessary in progeny tests to genetically decrease calf mortality.

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Section: Genetic Parameter Estimationsupporting

confidence: 81%

“…However, few studies have used this methodology, and most of these were conducted with taurine breeds, especially dairy cattle (Cole et al . ; Fuerst‐Waltl & Fuerst ).…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Genetic parameter estimates for prenatal and postnatal mortality in Nellore cattle

Silva

Baldi

Aboujaoude

et al. 2016

J Animal Breeding Genetics

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“…Thus, modern economically derived breeding objectives usually include fitness-related or functional traits, such as fertility and survival (Fuerst-Waltl & Fuerst, 2010). The productive life of a dairy cow is influenced by her reproductive performance, depicted by age at first calving, calving intervals, length of each lactation and survival to the next lactation.…”

Section: Introductionmentioning

confidence: 99%

Reproductive performance of Jersey and Fleckvieh × Jersey heifers and cows maintained on a pasture-based feeding system

Goni¹,

Muller²,

Dube³

et al. 2015

SA J. An. Sci.

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Crossbreeding is regarded as a faster way than using pure dairy breeds to improve the reproductive performance of dairy cows, which is pivotal to farm income. The reproductive performances of Jersey and Fleckvieh × Jersey (F × J) heifers and cows were compared in a pasture-based production system. Heifers were inseminated when showing signs of heat from 13 months old and cows from 40 days post calving. Using insemination records and pregnancy check results, fertility traits were derived and compared between breeds, using analysis of variance for continuous records. Age at first insemination and conception age for heifers did not differ between the two breeds, resulting in a similar age at first calving. For cows, the mean (± SE) interval from calving to first insemination was shorter for F × J cows, being 76.7 ± 2.2 days compared with 82.4 ± 2.5 days for Jersey cows. A larger proportion of F × J cows were inseminated within 80 days post calving, compared with the Jersey cows (0.70 and 0.54, respectively). Furthermore, the proportion of cows confirmed pregnant by 100 days in milk was higher for F × J cows in comparison with Jersey cows, being 0.79 and 0.66, respectively. Although the absolute number of days between calving and conception (days open) was slightly less for F × J cows in comparison with Jersey cows (104.8 ± 6.8 and 114.8 ± 8.1 days, respectively), the difference was not significant. These results indicate the potential of improving reproductive performance of Jersey cows through crossbreeding with the dual-purpose Fleckvieh.

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“…Calf mortality is an important economic component of the farming system since it reduces the number of animals available for sale (Østerås et al 2007) and for selection (Fuerst-Waltl and Fuerst 2010). Mangurkar et al (1984), Meyer et al (2000), and Atashi (2011) reported that calving difficulty was shown to be significantly associated with an increased risk of SB.…”

Section: Discussionmentioning

confidence: 99%

Relationship between dystocia and the lactation number, stillbirth and mastitis prevalence in dairy cows

et al. 2017

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Successful management of lactating dairy cows needs to integrate the programs of herd reproduction and health. The objectives of this study was to determine the relationship of dystocia, stillbirths, and the prevalence of mastitis in dairy cow herds. A total of 559 304 Lithuanian Black and White dairy cows were evaluated in relation to calving ease and stillbirths. Moreover, 1498 cows from the aforementioned group were tested for the milk somatic cell count and the presence of udder microbiota in the post partum period. The majority of extremely difficult births were estimated in primiparous and multiparous cows of lactations 6-8 (3.8-4.2% births) (P < 0.0001). Repeatability of dystocia was determined in 82.7% of cows in the following lactation (P < 0.0001). The stillbirth parturition rate was estimated to be 5.37% and shown to be the most important problem in the first calving compared to the second and subsequent calvings (P < 0.0001). Stillbirth was 11.2 × higher in cows with severely difficult calving compared to cows having no calving difficulties or slight calving difficulties (P < 0.0001). Dystocia significantly increased the somatic cell count (P < 0.05) and incidence of mastitis (P < 0.001), in particular mastitis caused by Streptococcus agalactiae and Staphylococcus aureus.

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Mortality in Austrian dual purpose Fleckvieh calves and heifers

Cited by 18 publications

References 25 publications

Genetic parameter estimates for prenatal and postnatal mortality in Nellore cattle

Genetic parameter estimates for prenatal and postnatal mortality in Nellore cattle

Reproductive performance of Jersey and Fleckvieh × Jersey heifers and cows maintained on a pasture-based feeding system

Relationship between dystocia and the lactation number, stillbirth and mastitis prevalence in dairy cows

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