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CSN1S1 and LALBA Polymorphisms and Other Factors Influencing Yield, Composition, Somatic Cell Score, and Technological Properties of Cow's Milk

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00027014%3A_____%2F23%3A10005832" target="_blank" >RIV/00027014:_____/23:10005832 - isvavai.cz</a>

  • Alternative codes found

    RIV/60076658:12220/23:43907035 RIV/26722861:_____/23:N0000017

  • Result on the web

    <a href="https://www.mdpi.com/2076-2615/13/13/2079" target="_blank" >https://www.mdpi.com/2076-2615/13/13/2079</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.3390/ani13132079" target="_blank" >10.3390/ani13132079</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    CSN1S1 and LALBA Polymorphisms and Other Factors Influencing Yield, Composition, Somatic Cell Score, and Technological Properties of Cow's Milk

  • Original language description

    Simple Summary Animal breeding is one of the most profitable human activities. The ultimate goal is to join genetically high performance and good health. In the last decades, the study of genetic control of important traits on the molecular level has been launched. In the study of milk performance, major genes, namely those for milk proteins, are the focus of much research. Here, we studied the polymorphisms of CSN1S1 and LALBA genes and their associations with milk performance and quality. Also, other non-genetic effects were evaluated. The polymorphisms influenced milk, fat, and protein yield percentages in the second lactation but their effects in the first lactation were not significant. The technological properties of milk were not influenced. The effect of the farm was significant in most cases. Breed influenced milk performance but did not influence technological properties. Changes in lactose content reflect the health of the udder. We evaluated the influence of CSN1S1 and LALBA polymorphisms on cow&apos;s milk yield and quality. The analysis was done on Czech Simmental and Holstein cows. Non-genetic factors were included as well. CSN1S1 did not influence the milk performance in the first lactation. In the second lactation, cows with the BB genotype had significantly higher milk, protein, and fat yields than BC. The differences between LALBA genotypes were non-significant in the first lactation, while in the second lactation, the fat percentage was significantly higher in BB than in AB. The farm significantly influenced milk, protein, and fat yields in both the first and second lactations and fat percentage in the first lactation. The effect of CSN1S1 and LALBA genotypes on the milk technological quality was non-significant. Breed did not influence any of the evaluated technological traits and SCS. The ethanol test was not influenced by farm, season, lactation phase, protein percentage, breed, or non-fat solids percentage.

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database

  • CEP classification

  • OECD FORD branch

    40203 - Husbandry

Result continuities

  • Project

    <a href="/en/project/QK21010326" target="_blank" >QK21010326: The possibilities to influence an inhibitory substances content in milk as an effective tool to improve animal health for food quality and safety</a><br>

  • Continuities

    I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Others

  • Publication year

    2023

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Name of the periodical

    Animals

  • ISSN

    2076-2615

  • e-ISSN

  • Volume of the periodical

    13

  • Issue of the periodical within the volume

    13

  • Country of publishing house

    CH - SWITZERLAND

  • Number of pages

    12

  • Pages from-to

    2079

  • UT code for WoS article

    001030990100001

  • EID of the result in the Scopus database

    2-s2.0-85164723724