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

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

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 Associations between bovine lactoferrin gene polymorphism and somatic cell count in milk

2012 ◽  
Vol 51 (No. 1) ◽  
pp. 14-20 ◽  
Author(s):  
K. Wojdak-Maksymiec ◽  
M. Kmiec ◽  
J. Ziemak
Keyword(s):  
Gene Polymorphism ◽  
Somatic Cell ◽  
Cell Count ◽  
Somatic Cell Count ◽  
Bovine Lactoferrin ◽  
Logarithmic Scale ◽  
Black And White ◽  
Holstein Friesian ◽  
Pcr Rflp ◽  
Lactoferrin Gene

The study included 124 Polish Black-and-White dairy cows of various share of the Holstein-Friesian (HF) breed. Lactoferrin (LTF) gene polymorphism was obtained with PCR-RFLP method using EcoRI enzyme. Two alleles of LTF, A and B, were found in the studied population. Their frequencies were 67.74% and 32.56%, respectively. The alleles controlled the occurrence of three genotypes: AA, BB and AB, of frequencies equal to 37.90%, 2.42% and 59.68%, respectively. It was established that statistically significant associations exist between the somatic cell count (SCC) and LTF genotype, lactation month and parity as well as the HF gene share. No significant association was found between somatic cell count and season. The highest somatic cell count (transformed to a logarithmic scale) was found in milk of the AB genotype, whereas the lowest one was found in cows of the AA genotype.

scholarly journals Associations between microsatellite polymorphism within the macrophage expressed lysozyme (mLys) gene and milk Indices Properties in Polish Black-and-White Cows

2005 ◽  
Vol 53 (2) ◽  
pp. 99-106
Author(s):  
Małgorzata Walczak-Wójciak ◽  
Janusz Klupczyński ◽  
Jan Miciński ◽  
Martin Hošek
Keyword(s):  
Gene Polymorphism ◽  
Somatic Cell ◽  
Cell Count ◽  
Somatic Cell Count ◽  
Production Capacity ◽  
Bacterial Count ◽  
Mineral Elements ◽  
Technological Properties ◽  
Black And White ◽  
Pathogenic Factors

The experiment was performed in the years 1998–2000 on two farms located near to Vistula Lowlands. The experimental materials were comprised of 52 daughters of bull Paran, among which 21 possessed the mLys-mic 7 allele and 31 – the mLys-mic 3 allele. The serum and whey bacteriolytic activity of the lysozyme, concentrations of selected mineral elements, technological properties of milk at successive the first lactation stages (30, 100, 150 and 200 days), somatic cell count and bacterial count were investigated in this study. The results obtained indicate that Lys-mic polymorphism has low suitability as a marker for milk production capacity in cows. The lysozyme gene, treated as a mastitis resistance factor, showed no effects on somatic cell count and bacterial count. Further investigations, conducted not only during the first lactation, but also during the next lactation in a herd threatened by a variety of pathogenic factors, would be carried to validate this Lys-mic gene polymorphism on mastitis resistance.

scholarly journals DRB3 Gene Polymorphism and Somatic Cell Count in Milk of Jersey Cows

2010 ◽  
Vol 9 (9) ◽  
pp. 1295-1300 ◽  
Author(s):  
Katarzyna Wojdak-Mak ◽  
M. Kmiec ◽  
Inga Kowalewska ◽  
M. Warlinski
Keyword(s):  
Gene Polymorphism ◽  
Somatic Cell ◽  
Cell Count ◽  
Somatic Cell Count ◽  
Jersey Cows

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.

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