Genetic and Phenotypic Correlations Between Milk Coagulation Properties, Milk Production Traits, Somatic Cell Count, Casein Content, and pH of Milk

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.

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Genetic parameters for somatic cell count (SCC) and milk production traits of Guzerá cows using data normalized by different procedures

Tropical Animal Health and Production ◽

10.1007/s11250-020-02277-8 ◽

2020 ◽

Vol 52 (5) ◽

pp. 2513-2522

Author(s):

Roberta Polyana Araújo da Silva ◽

Raimundo Nonato Braga Lôbo ◽

Lenira El Faro ◽

Glaucyana Gouvêa dos Santos ◽

Frank Ângelo Tomita Bruneli ◽

...

Keyword(s):

Somatic Cell ◽

Cell Count ◽

Milk Production ◽

Somatic Cell Count ◽

Genetic Parameters ◽

Production Traits ◽

Milk Production Traits ◽

Using Data

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TEST-DAY AND WHOLE LACTATION REPEATABILITY FOR SOMATIC CELL COUNT AND SOME MILK PRODUCTION TRAITS OF HOLSTEIN FRIESIAN COWS IN HUNGARY

Egyptian Journal of Animal Production ◽

10.21608/ejap.2000.110528 ◽

2000 ◽

Vol 37 (2) ◽

pp. 85-97

Keyword(s):

Somatic Cell ◽

Cell Count ◽

Milk Production ◽

Somatic Cell Count ◽

Production Traits ◽

Milk Production Traits ◽

Holstein Friesian ◽

Friesian Cows

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

ISRN Veterinary Science ◽

10.1155/2013/470585 ◽

2013 ◽

Vol 2013 ◽

pp. 1-5 ◽

Cited By ~ 8

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.

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Inheritance of linear type traits in dairy cattle and correlations with milk production

Animal Science ◽

10.1017/s0003356100028014 ◽

1987 ◽

Vol 44 (1) ◽

pp. 1-10 ◽

Cited By ~ 37

Author(s):

Karin Meyer ◽

Susan Brotherstone ◽

W. G. Hill ◽

Maureen R. Edwards

Keyword(s):

Dairy Cattle ◽

Milk Production ◽

Genetic Correlations ◽

Production Traits ◽

Milk Production Traits ◽

Linear Type ◽

Phenotypic Correlations ◽

Type Traits ◽

Genetic And Phenotypic Correlations ◽

Friesian Cattle

ABSTRACTRecords on 18 939 Friesian-Holstein cows classified for 16 linear-type traits and total score in first lactation by the British Friesian Cattle Society and similarly on 13 192 cows in second lactation were analysed to estimate heritabilities and genetic correlations among the linear traits. These comprised progeny of 542 and 477 young sires, respectively, together with older sires included to increase connections. Correlations of type with milk production traits and correlations between type in first and second lactations were estimated from subsets (of about one-half) of the data. Effects due to proportion of Holstein in the sires were removed.Heritabilities of the linear traits were similar in first and second lactations, ranging from under 0·15 for one of the leg traits to about 0·5 for stature. Genetic correlations between traits in first and second lactation were generally over 0·75, whereas phenotypic correlations for most traits ranged from 0·3 to 0·6. Genetic and phenotypic correlations among the linear traits were generally low, except for those involving size.Phenotypic correlations between linear traits and milk yield and composition were all small, none exceeding 0·3. Genetic correlations were generally almost as small: taking first and second lactations together, the only consistent non-negligible correlations with yield were for angularity (+0·3), fore-udder attachment (–0·2) and udder depth (–0·4). The linear traits are not useful predictors of yield.

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Population genetic structure and milk production traits in Girgentana goat breed

Animal Production Science ◽

10.1071/an15431 ◽

2017 ◽

Vol 57 (3) ◽

pp. 430 ◽

Cited By ~ 4

Author(s):

Salvatore Mastrangelo ◽

Marco Tolone ◽

Maria Montalbano ◽

Lina Tortorici ◽

Rosalia Di Gerlando ◽

...

Keyword(s):

Fatty Acid ◽

Somatic Cell ◽

Cell Count ◽

Milk Production ◽

Milk Yield ◽

Somatic Cell Count ◽

Assignment Test ◽

Acid Extraction ◽

Factorial Correspondence Analysis ◽

Production Traits

The aim of this work was to evaluate the genetic status of the Girgentana goat, an endangered breed from Sicily (Italy), using microsatellite markers. Furthermore, as the main purpose of the Girgentana breed is milk production, quantitative milk traits were investigated, including fatty acid profile. Molecular data from CSN1S1, CSN2, CSN1S2, and CSN3 casein genes were also used to infer haplotypes. A total of 264 individuals were collected. Samples of Maltese (n = 41) and Derivata di Siria (n = 33) goat breeds were also used to understand the genetic relationship among breeds. Test-day records for milk production were collected to determine daily milk yield, fat, protein, casein, lactose, and somatic cell count. Individual milk samples were also collected for fatty acid extraction. Wright’s statistics, gene flow, Nei genetic distance, factorial correspondence analysis, and Bayesian assignment test showed the existence of genetic variability and differentiation among breeds. The AMOVA results indicated that 89.96% of the total variance was partitioned within populations. The Girgentana breed appears to have a subdivided population, and has not experienced a recent bottleneck. A high variability in milk yield was observed. Mean morning milk yield was 1448 ± 404 g, with 4.30 ± 0.87% and 3.72 ± 0.44% of fat and protein percentages, respectively. The average somatic cell count found in Girgentana goat milk was higher than the threshold of 1 500 000 cells/mL advised in Europe for fresh milk. Gross milk and fatty acid composition were similar to that reported in the literature for other local goat breeds.

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

Archives Animal Breeding ◽

10.5194/aab-54-594-2011 ◽

2011 ◽

Vol 54 (6) ◽

pp. 594-599 ◽

Cited By ~ 2

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.).

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