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A Candidate Gene Association Study for Economically Important Traits in Czech Dairy Goat Breeds

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60076658%3A12220%2F21%3A43902926" target="_blank" >RIV/60076658:12220/21:43902926 - isvavai.cz</a>

  • Alternative codes found

    RIV/00027014:_____/21:N0000079 RIV/00027162:_____/21:N0000089

  • Result on the web

    <a href="https://doi.org/10.3390/ani11061796" target="_blank" >https://doi.org/10.3390/ani11061796</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.3390/ani11061796" target="_blank" >10.3390/ani11061796</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    A Candidate Gene Association Study for Economically Important Traits in Czech Dairy Goat Breeds

  • Original language description

    Simple Summary The milk production traits of goats are economically important. In the Czech Republic, goat milk is processed directly on farms and distributed as cheese. Although goat breeding is not a main focus of animal production in the Czech Republic, it is essential for the agricultural sector. A group of 14 SNPs (single-nucleotide polymorphisms) within four candidate genes (ACACA, BTN1A1, LPL, and SCD) were analysed in two Czech dairy goat breeds, White Shorthaired (WSH) goats and Brown Shorthaired (BSH) goats. The SNPs were significantly associated with milk-production traits (daily milk yield, protein, and fat percentage) and somatic cell count. This information may be useful for marker-assisted selection or related techniques to increase the accuracy of selection. Milk production is influenced by many factors, including genetic and environmental factors and their interactions. Animal health, especially udder health, is usually evaluated by the number of somatic cells. The present study described the effect of polymorphisms in the ACACA, BTN1A1, LPL, and SCD genes on the daily milk yield, fat, and protein percentages and somatic cell count. In this study, 590 White Shorthaired (WSH) and Brown Shorthaired (BSH) goats were included. SNP genotyping was performed by PCR-RFLP and multiplex PCR followed by SNaPshot minisequencing analysis. The linear mixed model with repeated measurement was used to identify the genetic associations between the studied genes/SNPs and chosen traits. All selected genes were polymorphic in the tested goat populations and showed significant associations with milk traits. Only BTN1A1 (SNP g.599 A &gt; G) showed a significant association with the somatic cell score. After Bonferroni correction, a significant effect of LPL g.300G &gt; A on daily milk yield and fat percentage, LPL g.185G &gt; T on protein percentage, and LPL G50C, SCD EX3_15G &gt; A, and SCD EX3_68A &gt; G on fat percentage was found. The importance of environmental factors, such as the herd-year effect, month of milking, and lactation order on all milk performance indicators was confirmed.

  • 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

    40101 - Agriculture

Result continuities

  • Project

    <a href="/en/project/QK1910320" target="_blank" >QK1910320: Research of dairy cattle breeding methods with the goal to improve disease resistance using genomic approach, systemic health data collecting and targeted genotyping</a><br>

  • Continuities

    S - Specificky vyzkum na vysokych skolach

Others

  • Publication year

    2021

  • 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

    11

  • Issue of the periodical within the volume

    6

  • Country of publishing house

    CH - SWITZERLAND

  • Number of pages

    15

  • Pages from-to

    1796

  • UT code for WoS article

    000665477900001

  • EID of the result in the Scopus database