Genetic Parameters of Milk Yield in Jersey Cows

Ulutaş, Zafer; Şahin, Aziz; Saatcı, Mustafa

doi:10.1080/09712119.2008.9706935

Cited by 4 publications

(11 citation statements)

References 7 publications

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“…Estimates of genetic (r g ±SE), and phenotypic (r p ) correlations are given in Table (3). Estimate of r g between SP and CI traits was high (0.998), as would be expected, which is nearly the same (0.96) as reported by Ulutas et al, (2008). Strong and favorable genetic correlations of CI with SP was 0.61 (Wall et al, 2003).…”

Section: Genetic Correlationssupporting

confidence: 81%

“…Heritability estimates for the calving interval was 0.040±0.001 (Table 2). However, lower estimates were reported by several other authors for Holstein dairy cattle (Kadarmideen et al,2003, Wall et al, 2003, Ulutas et al, 2008and Montaldo et al, 2017.On the other hand, higher estimates were reported for the same breed in different countries range of 0.05±0.004 to 0.088±0.037 recorded by Salem et al (2006), Toghiani (2012), Ibrahim et al (2009), Zambrano and Echeverri (2014) and Sahin et al (2014). Low h 2 estimates for reproductive traits in the present study indicate that improving management practices (intensive feeding, heat detection, semen quality and insemination technique, time of insemination and health programs) would be efficient for improving all reproductive performance of the cow (Sahin et al, 2014).…”

Section: Variance Componentsmentioning

confidence: 61%

“…The estimate of h 2 for SP (Table 2), 0.010±0.001 which is comparable with Zink et al (2012) where it reached (0.01±0.003). However, higher estimates were registered by several other authors ranged from 0.02±0.008 to 0.048±0.01 from different production environments by (Berry et al, 2002, Kadarmideen et al, 2003, Wall et al, 2003, Ulutas et al, 2008and Toghiani 2012.…”

Section: Variance Componentsmentioning

confidence: 74%

“…Estimates of r g between TMY and each of SP and CI were 0.512 and 0.661, respectively (Table 3), indicating a large deleterious impact of production on female fertility. Ulutas et al (2008) reported that r g between TMY and SP was 0.63. Zink et al (2012) reported that r g between TMY and SP was 0.26.…”

Section: Genetic Correlationsmentioning

confidence: 99%

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Genetic and Phenotypic Parameters and Trends for Milk Yield, Service Period and Calving Interval and The Economic Impact of Extending A Calving Interval on-Farm Profitability in Friesian Cows in Egypt

Zahed

Ebrahim

El-Diahy

2019

Journal of Animal and Poultry Production

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Genetic parameters for Friesian cows were estimated from 9155 lactation records for 3635 cows sired by 184 bulls. Multi-trait repeated animal models were employed using the REML procedure to estimate covariance components of total milk yield (TMY), service period (SP) and calving interval (CI). There is sufficient genetic variation (indicated by the coefficient of genetic variation) in total milk yield, service period and calving interval traits (15.6, 3.6 and 3.7%, respectively). Estimates of heritability for TMY, SP and CI traits were 0.170, 0.010 and 0.044, respectively. Permanent environmental variance ratios were 0.162, 0.017 and 0.048 for TMY, SP, and CI, respectively. Genetic correlations among SP and CI traits were high (0.998), however genetic correlations of reproductive with productive traits were unfavorable (0.512-0.661). The results indicated the possibility of continued selection for increased milk production which has deleterious effects on reproductive traits. The annual genetic changes were positive for TMY, SP, and CI (7.76 kg/yr, 0.076, and 0.24 d/yr, respectively). These positive trends indicate that there has been success in choosing better sires.The corresponding annual phenotypic changes for the same traits were positive (13.9 kg/yr, 0.029 and 0.82 d/yr, respectively). Positive annual genetic and phenotypic changes for SP and CI indicated that with improving milk yield the SP and CI will be increased. The financial situation of the farm is affected by the extension of the calving interval. The lower the calving interval, the more profitable the farm becomes, and prolonging this period for one day causes a financial loss for the farm.

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Section: Genetic Correlationssupporting

confidence: 81%

Section: Variance Componentsmentioning

confidence: 61%

Section: Variance Componentsmentioning

confidence: 74%

Section: Genetic Correlationsmentioning

confidence: 99%

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Genetic and Phenotypic Parameters and Trends for Milk Yield, Service Period and Calving Interval and The Economic Impact of Extending A Calving Interval on-Farm Profitability in Friesian Cows in Egypt

Zahed

Ebrahim

El-Diahy

2019

Journal of Animal and Poultry Production

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“…Standard errors were lower than 0.0001 for all lactation traits and therefore shown as 0.000 in Tables 2 and 3. Parameter estimates agree with those reported using REML procedures (Ulutas et al, 2008). Heritability and repeatibility estimates for lactation length found in this study are supported in the literature (Ojango and Pollott, 2001;Atil and Khattab, 2005).…”

Section: Genetic Parameterssupporting

confidence: 81%

Genetic and environmental parameters and trends for milk production of Holstein cattle in Turkey

Şahin

Ulutaş

Adkinson

et al. 2012

Italian Journal of Animal Science

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Data from 4143 Holstein cattle from three herds in Turkey were used to study the influences of genetic and environmental factors on milk production traits as well as genetic and environmental trends over 20 years from 1987 to 2006. First lactation mean values for 305-day milk yield, actual lactation milk yield, and lactation length were 6222±35.8 kg, 6651±42.6 kg, and 327±1.3 days. Second and third 305-day lactation yields were proportionately 8% and 11% greater, respectively. The effects of herd and calving year were the largest sources of variation for all traits. Heritabilities of actual lactation milk yield, 305-day milk yield, and lactation length for first lactation records were 0.24±0.007, 0.23±0.007, and 0.08±0.035. Estimates of variances and genetic parameters were consistent with estimates reported throughout the literature. Trends were inconsistent with some phenotypic increase in yields during the period between 2001 and 2005. This improvement was associated with increased environment parameter estimates during that period. No consistent genetic improvement was observed.

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Genetic Parameters of First Lactation Milk Yield and Fertility Traits in Brown Swiss Cattle

Şahin¹,

Ulutaş²,

Adkinson³

et al. 2014

Annals of Animal Science

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Animal breeders are aware of the importance of highly nutritious and affordable animal products in the human diet and continued research in animal breeding will help ensure these needs are met. Breeding research has been conducted and will continue to be conducted in order to help reach these goals. The Brown Swiss breed is well known and used throughout the world and is an important genetic resource for Unauthenticated Download Date | 5/12/18 11:29 AM

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Genetic Parameters of Milk Yield in Jersey Cows

Cited by 4 publications

References 7 publications

Genetic and Phenotypic Parameters and Trends for Milk Yield, Service Period and Calving Interval and The Economic Impact of Extending A Calving Interval on-Farm Profitability in Friesian Cows in Egypt

Genetic and Phenotypic Parameters and Trends for Milk Yield, Service Period and Calving Interval and The Economic Impact of Extending A Calving Interval on-Farm Profitability in Friesian Cows in Egypt

Genetic and environmental parameters and trends for milk production of Holstein cattle in Turkey

Genetic Parameters of First Lactation Milk Yield and Fertility Traits in Brown Swiss Cattle

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