scholarly journals A Proposed Selection Index for Jersey Cattle in Zimbabwe

2013 ◽  
Vol 2013 ◽  
pp. 1-3 ◽  
Author(s):  
Edward Missanjo ◽  
Venancio Imbayarwo-Chikosi ◽  
Tinyiko Halimani
Keyword(s):  
Somatic Cell ◽  
Cell Count ◽  
Somatic Cell Count ◽  
Selection Index ◽  
Genetic Progress ◽  
Cattle Industry ◽  
Jersey Cattle ◽  
Breeding Objective ◽  
Multitrait Selection ◽  
Selection Of

A multitrait selection index for Zimbabwean Jersey cattle was constructed. The breeding objective was defined in terms of production and functionality traits. The production component of the index included milk yield , butterfat yield , protein yield , butterfat percent , and protein percent , while the functional component included the somatic cell count (SCC). The index was termed as . The accuracy of the index was 91.1%, and the correlation between this index and the aggregate breeding objective was 0.954. A selection index is more important in the selection of sires and cows. This leads to the greatest genetic progress and hence productivity in the dairy sector. Therefore, the application of the selection index developed is necessary if the dairy cattle industry is to maximise the exploitation of genetics and to improve its relative competitive position.

Genetic trends production and somatic cell count for Jersey cattle in Zimbabwe born from 1994 to 2005

2012 ◽  
Vol 44 (8) ◽  
pp. 1921-1925 ◽  
Author(s):  
Edward Mtunduwatha Missanjo ◽  
Venancio Edward Imbayarwo-Chikosi ◽  
Tinyiko Edward Halimani
Keyword(s):  
Somatic Cell ◽  
Cell Count ◽  
Somatic Cell Count ◽  
Jersey Cattle ◽  
Genetic Trends

The MUC 1 gene polymorphism is not associated with milk productive traits and somatic cell count in Jersey cattle

2019 ◽  
Vol 50 (2) ◽  
pp. 188-189
Author(s):  
Lucas Vargas ◽  
Daniel Duarte Silveira ◽  
Rogério Fôlha Bermudes ◽  
Heden Luiz Marques Moreira ◽  
Anibal Eugênio Vercesi Filho ◽  
...  
Keyword(s):  
Gene Polymorphism ◽  
Somatic Cell ◽  
Cell Count ◽  
Somatic Cell Count ◽  
Jersey Cattle ◽  
Productive Traits

scholarly journals Environmental variables and Jersey cattle milk quality in the humid tropic of Costa Rica.

1969 ◽  
Vol 7 (2) ◽  
pp. 165-171
Author(s):  
Rodolfo WingChing-Jones ◽  
Esteban Mora Chaves
Keyword(s):  
Costa Rica ◽  
Somatic Cell ◽  
Cell Count ◽  
Milk Production ◽  
Somatic Cell Count ◽  
Climatic Conditions ◽  
Humid Tropics ◽  
Jersey Cattle ◽  
Lactose Concentration ◽  
System Variables

Climatic conditions affect milk production in the humid tropics. They have an effect on on somatic cell count (SCC) and total solids (TS), fat, protein (CP) and lactose concentration in milk. We studied these variables in Turrialba, Costa Rica, for 52 weeks between 2009 and 2010. We collected 784 samples (100 ml each) of milk from 19 animals and analyzed them with the FOSS Electric A/S for MilkoScan TM FT 120 Type 71200. Somatic cell count was done with the 400 Series Fossomatic. Temperature affected TS, fat and lac- tose content (p <0.05), precipitation affected the TS and CP content correlated with radiation. Humidity affected SCC, TS, fat and lactose. Within system variables, animal and lactation days are significant for SCC and milk components; calving number was related to fat content, CP and lactose. Age and milk production affect TS, fat, CP and lactose. Month affected TS, CP and lactose content. All variables changed with the year.  

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.

Effect of relationship between mastitis and somatic cell count on genetic selection for mastitis resistance in dairy cattle

2000 ◽  
Vol 2000 ◽  
pp. 113-113
Author(s):  
H. N. Kadarmideen ◽  
J.E. Pryce
Keyword(s):  
Dairy Cattle ◽  
Somatic Cell ◽  
Cell Count ◽  
Somatic Cell Count ◽  
Selection Index ◽  
Economic Value ◽  
Genetic Selection ◽  
Bulk Tank ◽  
Genetic Regression ◽  
The Impact

Differences in banding scales for milk quality penalties, as determined by bulk tank somatic cell count (SCC), prevent the use of a single economic value for SCC in an overall economic-genetic selection index (Veerkamp et al., 1998) such as, Profitable Lifetime Index or £PLI. But SCC could be used as a predictor of mastitis as genetic correlation estimates between mastitis and SCC are medium to high (review of Mrode and Swanson, 1996). This suggests that, although deriving a direct single economic value (EV) for SCC based on bulk tank SCC is difficult, a single financial value could still be assigned to SCC based on its relationship with mastitis. Here we use a genetic regression method to calculate the EV of SCC (EVSCC) as a predictor of mastitis. However, the dependency of regression coefficients on mastitis incidence (p) could make such EVSCC variable. The main objective of this study was to evaluate the impact of such relationship on EVSCC and genetic selection in dairy cattle using predicted transmitting abilities of SCC (PTASCC).

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