scholarly journals Associations between Bovine β-Defensin 4 Genotypes and Production Traits of Polish Holstein-Friesian Dairy Cattle

Animals ◽  
2019 ◽  
Vol 9 (10) ◽  
pp. 723
Author(s):  
Brodowska ◽  
Zwierzchowski ◽  
Marczak ◽  
Jarmuż ◽  
Bagnicka
Keyword(s):  
Somatic Cell ◽  
Cell Count ◽  
Milk Fat ◽  
Somatic Cell Count ◽  
High Rate ◽  
Breeding Value ◽  
Production Traits ◽  
Milk Traits ◽  
Breeding Values ◽  
Holstein Friesian

This study analyzed the associations between two single-nucleotide polymorphisms (C2239T and A1674C), used together as a genotype located in BNBD4, and milk traits and breeding values of productivity traits of Polish Holstein-Friesian dairy cows. The research was carried out on 322 cows, with 7070 milk parameter and somatic cell count records in daily milking, as well as 897 records covering data on whole lactations, and 2209 breeding value records for productivity traits. The DMU statistical package with a one-trait repeatability test-day animal model was used to estimate the associations. The differences between the genotype effects were analyzed using Duncan’s post-hoc tests. The CC/AA and CT/AC genotypes had the highest frequencies (0.62 and 0.23, respectively). For use in marker-assisted selection, the CC/AC genotype is the most promising as an indicator of high-yielding cows potentially resistant to mastitis, because it was associated with the lowest somatic cell count (SCC), highest milk, fat, and protein yields in daily milking, as well as with milk yield in the whole lactation. The studied genotypes were also related to the breeding values of all the investigated production traits. However, some simulation studies have indicated a high rate of false-positives in GWAS based on classically calculated EBVs.

scholarly journals Genetic and environmental factors influencing milk, protein and fat yields of pasture-based dairy cows in Tasmania

2010 ◽  
Vol 50 (4) ◽  
pp. 265 ◽  
Author(s):  
S. A. Adediran ◽  
P. Nish ◽  
D. J. Donaghy ◽  
D. A. Ratkowsky ◽  
A. E. O. Malau-Aduli
Keyword(s):  
Dairy Cows ◽  
Somatic Cell ◽  
Cell Count ◽  
Milk Fat ◽  
Somatic Cell Count ◽  
Milk Protein ◽  
Herd Size ◽  
Production Traits ◽  
Phenotypic Correlations ◽  
Genetic And Phenotypic Correlations

The objective of this study was to provide an update on milk production performance, heritability, genetic and phenotypic correlations among production traits that are valuable for management, breeding and selection decisions in pasture-based dairy systems. The study utilised a total of 106 990 lactation records of Holstein–Friesian (FF), Jersey (JJ) and their crossbreds (HF) from 428 Tasmanian dairy herds collected between 2000 and 2005. The data were analysed using the least-squares approach with a general linear model and restricted maximum likelihood approach with a linear animal model. Results indicated highly significant (P < 0.01) effects of breed, herd size, cow’s parity, season and year of calving on milk, protein and fat yields. Average milk and protein yields per cow per lactation were highest in the FF breed (5212 L and 171 kg, respectively) and lowest in the JJ breed (3713 L and 143 kg, respectively). FF cows also produced 13.5 kg more milk fat than JJ and HF cows. Furthermore, milk, fat and protein yields were highest for cows calving during spring and lowest for autumn-calving cows. It was also evident that cows in very large herds (>1110 cows/herd) out-produced those in smaller herds. Heritability was highest for milk yield and lowest for somatic cell count ranging from 0.28 to 0.41. Genetic and phenotypic correlations between milk, fat and protein yields ranged from 0.41 to 0.85, and 0.66 to 0.92, respectively. However, genetic and phenotypic correlations between the log of somatic cell count and the production traits ranged from 0.03 to 0.09 and –0.03 to –0.05. We conclude that breed, herd size, parity, season and year of calving were among the main factors correlated with the productivity of dairy cows in Tasmania and adjustments for these factors would be mandatory for any unbiased comparison of lactation performance within and between pasture-based dairy production systems. The practical application of this information would be valuable to dairy farmers for decisions related to breeding, selection and management of their herds.

scholarly journals Evaluation of breeding values of bulls for somatic cell count in milk

2011 ◽  
Vol 27 (3) ◽  
pp. 1059-1066
Author(s):  
M. Radinovic ◽  
S. Trivunovic ◽  
D. Kucevic ◽  
R. Djedovic ◽  
V. Bogdanovic
Keyword(s):  
Mammary Gland ◽  
Somatic Cell ◽  
Cell Count ◽  
Milk Yield ◽  
Milk Fat ◽  
Somatic Cell Count ◽  
Somatic Cells ◽  
High Variability ◽  
Breeding Values ◽  
Selection Of

The incidence of subclinical and clinical mastitis in the mammary gland produces variety of defensive factors were nuclear leukocytes, lymphocytes and macrophages play an important role and they are marked as somatic cells. Somatic cell count depends on the type of pathogen and stage of infection. Increased number of somatic cells in milk occurs as a result of lesions in the mammary gland. Studies have shown that the somatic cells count is genetically predisposed. Although the heritability of this trait is low, using modern methods and the proper selection of work it is possible to achieve some progress. Therefore it is necessary to the selection of bulls for somatic cells, on the basis of somatic cells in milk of daughters. Data on milk yield and somatic cell count in milk of 247 cows Holstein Friesian and Simmental breed from Vojvodina province, were used to analyze the evaluation of breeding values for somatic cells in milk Average values and variability of somatic cells, milk yield, milk fat yield and protein and content of milk fat and protein were determined. The average number of somatic cells was 317 000 per ml of milk, with high variability. Average milk yield of 7 634kg with an average content and yield of milk fat from 3.74% to 285.69 kg and the average protein content and yield of 3.15% and 237.15 kg were determined. Assessment of breeding values was calculated using BLUP model of father, high variability in the assessment of bulls was found. Getting more accurate breeding values is possible using the Animal Model.

Inbreeding and inbreeding depression in Irish Holstein-Friesian cattle

2007 ◽  
Vol 2007 ◽  
pp. 63-63
Author(s):  
S. Mc Parland ◽  
J.F. Kearney ◽  
M. Rath ◽  
D.P. Berry
Keyword(s):  
Somatic Cell ◽  
Cell Count ◽  
Milk Production ◽  
Inbreeding Depression ◽  
Milk Fat ◽  
Somatic Cell Count ◽  
Protein Production ◽  
Holstein Friesian ◽  
Related Individuals ◽  
Friesian Cattle

Inbreeding occurs when related individuals are mated to each other. Inbreeding reduces milk production, and impairs health, fertility and survival; a phenomenon known as inbreeding depression. Smith et al. (1998) reported losses in milk yield of 27 kg per 1% increase in inbreeding in US Holsteins. The objective of this study was to investigate the level of inbreeding in Irish Holstein-Friesian cattle and to quantify its effect on milk, fat and protein production and somatic cell count.

scholarly journals Polymorphisms in CGIL4, breeding value for somatic cell count and resistance to mastitis

2011 ◽  
Vol 56 (No. 7) ◽  
pp. 301-304 ◽  
Author(s):  
J. Čítek ◽  
V. Řehout ◽  
L. Hanusová ◽  
A. Míková ◽  
I. Jašková
Keyword(s):  
Somatic Cell ◽  
Cell Count ◽  
Somatic Cell Count ◽  
Clinical Mastitis ◽  
Breeding Value ◽  
Breeding Values ◽  
Potential Marker ◽  
Significant Difference ◽  
Pcr Rflp ◽  
The Relationship

The relationship between a potential marker for mastitis, CGIL4, and the breeding value for somatic cell count (SCC) was analysed in a panel of Czech Simmental and German Holstein sires. Genotyping was done by PCR/RFLP. The analysis did not reveal a significant difference in breeding values for SCC depending on the genotype of CGIL4, even though other authors confirmed the relationship between this marker and clinical mastitis. Further investigations will be necessary to clarify the relevance of the marker for selection against mastitis.

scholarly journals Estimation of Genetic and Phenotypic Parameters for Production Traits and Somatic Cell Count for Jersey Dairy Cattle in Zimbabwe

2013 ◽  
Vol 2013 ◽  
pp. 1-5 ◽  
Author(s):  
Edward Missanjo ◽  
Venancio Imbayarwo-Chikosi ◽  
Tinyiko Halimani
Keyword(s):  
Dairy Cattle ◽  
Somatic Cell ◽  
Cell Count ◽  
Somatic Cell Count ◽  
Production Traits ◽  
Fat Percentage ◽  
Milk Traits ◽  
Phenotypic Correlations ◽  
Genetic And Phenotypic Correlations ◽  
Improvement Programme

Genetic and phenotypic parameters for production traits and somatic cell count (SCC) for Jersey dairy cattle in Zimbabwe were estimated. A total of 10986 lactation records were obtained from Zimbabwe Livestock Identification Trust, with cows calving in the period from 1996 to 2008. An ASReml program fitting an animal model was used for the analyses. Heritability estimates for milk yield, fat yield, protein yield, fat percentage, protein percentage, and Log10SCC were 0.30, 0.32, 0.33, 0.42, 0.44, and 0.08, respectively. The corresponding repeatability estimates were 0.39, 0.38, 0.39, 0.49, 0.51, and 0.16, respectively. The genetic and phenotypic correlations between different production traits ranged from −0.86 to 0.95 and from −0.88 to 0.98, respectively. The genetic and phenotypic correlations between production traits and Log10SCC were weak almost nonsignificantly differentl from zero. The results imply that milk traits for Jersey dairy cattle in Zimbabwe are more heritable. Therefore, these traits may be preferred by breeders as selection criteria for development of effective genetic improvement programme.

scholarly journals Effect of temperament of Jersey and Holstein Friesian cows on milk production traits and somatic cell count (Short Communication)

2011 ◽  
Vol 54 (6) ◽  
pp. 594-599 ◽  
Author(s):  
M. Orbán ◽  
K. K. Gaál ◽  
F. Pajor ◽  
A. Szentléleki ◽  
P. Póti ◽  
...  
Keyword(s):  
Somatic Cell ◽  
Cell Count ◽  
Milk Production ◽  
Milk Yield ◽  
Somatic Cell Count ◽  
Production Traits ◽  
Holstein Friesian ◽  
Daily Milk Yield ◽  
Daily Milk ◽  
Friesian Cows

Abstract. The aim of present study was to investigate the relationships between temperament score and milk production, as well as somatic cell count in a herd of Jersey and Holstein Friesian breeds. The temperament of 283 Jersey and 69 Holstein Friesian cows were assessed (scored) by the temperament score test (behaviour of animals was assessed in a 5-score system (1: calm, 5: nervous) while spending 30 s on the scale during weighing). The daily milk yield, fat, protein content and somatic cell count were also investigated in this study. Our investigation did not reveal any correlation between daily milk yield and temperament score. But milk somatic cell count was showed positive moderate relation with the temperament scores of Jersey (rrank=0.67; P=0.0001) and Holstein Friesian (rrank=0.66; P=0.0001) cows. Calmer cows had lower somatic cell count (Jersey: 135.40×103/cm3; Holstein Friesian: 176.07×103/cm3) compared to the more temperamental cows (Jersey: 540.44×103/cm3; P=0.0001; Holstein Friesian: 744.91×103/cm3; P=0.0001, resp.).

scholarly journals Hyperketonemia Predictions Provide an On-Farm Management Tool with Epidemiological Insights

Animals ◽  
2021 ◽  
Vol 11 (5) ◽  
pp. 1291
Author(s):  
Ryan S. Pralle ◽  
Joel D. Amdall ◽  
Robert H. Fourdraine ◽  
Garrett R. Oetzel ◽  
Heather M. White
Keyword(s):  
Somatic Cell ◽  
Cell Count ◽  
Milk Yield ◽  
Milk Fat ◽  
Somatic Cell Count ◽  
Past Research ◽  
Management Tool ◽  
Milk Analysis ◽  
Linear Regression Models ◽  
High Throughput Detection

Prediction of hyperketonemia (HYK), a postpartum metabolic disorder in dairy cows, through use of cow and milk data has allowed for high-throughput detection and monitoring during monthly milk sampling. The objective of this study was to determine associations between predicted HYK (pHYK) and production parameters in a dataset generated from routine milk analysis samples. Data from 240,714 lactations across 335 farms were analyzed with multiple linear regression models to determine HYK status. Data on HYK or disease treatment was not solicited. Consistent with past research, pHYK cows had greater previous lactation dry period length, somatic cell count, and dystocia. Cows identified as pHYK had lower milk yield and protein percent but greater milk fat, specifically greater mixed and preformed fatty acids (FA), and greater somatic cell count (SCC). Differential somatic cell count was greater in second and fourth parity pHYK cows. Culling (60d), days open, and number of artificial inseminations were greater in pHYK cows. Hyperketonemia prevalence decreased linearly in herds with greater rolling herd average milk yield. This research confirms previously identified risk factors and negative outcomes associated with pHYK and highlights novel associations with differential SCC, mixed FA, and preformed FA across farm sizes and production levels.

scholarly journals Some factors influencing milk somatic cell count of Holstein Friesian and Brown Swiss cows under the Mediterranean climatic conditions

2009 ◽  
Vol 52 (2) ◽  
pp. 124-133 ◽  
Author(s):  
A. Koç ◽  
K. Kizilkaya
Keyword(s):  
Somatic Cell ◽  
Cell Count ◽  
Repeated Measures ◽  
Somatic Cell Count ◽  
Control Program ◽  
Resistance Mechanisms ◽  
Climatic Conditions ◽  
Brown Swiss ◽  
Holstein Friesian ◽  
The Mediterranean

Abstract. The aim of this study was to determine the influencing factors on somatic cell count (SCC) in the milk of Holstein Friesian (HF) and Brown Swiss (BS) cows raised on three dairy farms under the Mediterranean climatic conditions in Turkey. For a two-year period, farms were visited monthly to measure daily milk yield (DMY) and collect milk samples from each cow during the morning and evening milking. Total of 1 429 SCC readings from 67 HF and 16 BS cows were analyzed by using repeated measures. Breed (P<0.01), lactation number (LN) (P<0.01), milking time (MT) (P<0.05), lactation month (LM) (P<0.01) and the interactions of breed-LM (P<0.05), herd-LM (P<0.01) and LN-LM (P<0.01) effects on SCC were statistically significant as did the co-variable DMY effect (P<0.01). The effect of herd and herd-MT interactions on SCC were statistically insignificant (P>0.05). The SCC means for BS and HF cows were 5.464±0.060 (291 072 cells/ml) and 5.654±0.029 (450 817 cells/ml), respectively. The SCC mean for morning milking (338 065 cells/ml) was 25 850 cells/ml lower than that of evening milking. The LN4 had the highest SCC mean (490 908 cells/ml) and was statistically different from those of LN1 (P<0.01) and LN2 (P<0.05). The SCC level was the highest in the first LM (601 174 cells/ml) and this level then decreased in the later months. Possible reasons for the difference in SCC means between the breeds are different resistance mechanisms against mastitis, different morphological conformations of udders and different milk yields between these two breeds. The insignificant differences found among herds show the similarities of management, milking hygiene and barn conditions. In order to decrease SCC in milk and increase udder health, some precautions need to be taken like improving milking management, hygiene and barn conditions, milking the cow at uniform intervals, feeding the cows after the milking and applying a mastitis control program.

Sign in / Sign up

Export Citation Format

Share Document