All

What are you looking for?

All
Projects
Results
Organizations

Quick search

  • Projects supported by TA ČR
  • Excellent projects
  • Projects with the highest public support
  • Current projects

Smart search

  • That is how I find a specific +word
  • That is how I leave the -word out of the results
  • “That is how I can find the whole phrase”

Selecting an appropriate statistical model for estimating genetic parameters: A case study of pig maternal breeds in Czechia

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00027014%3A_____%2F24%3A10005958" target="_blank" >RIV/00027014:_____/24:10005958 - isvavai.cz</a>

  • Alternative codes found

    RIV/60460709:41210/24:98756

  • Result on the web

    <a href="https://www.webofscience.com/wos/woscc/full-record/WOS:001218533400001" target="_blank" >https://www.webofscience.com/wos/woscc/full-record/WOS:001218533400001</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1016/j.livsci.2024.105457" target="_blank" >10.1016/j.livsci.2024.105457</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Selecting an appropriate statistical model for estimating genetic parameters: A case study of pig maternal breeds in Czechia

  • Original language description

    A three-trait statistical model was designed for backfat thickness (BFT) and loin eye muscle depth (LMD) with accompanying variable average daily gain (ADG). Data from 82,507 Czech Large White and 37,556 Czech Landrace pigs were collected during on-farm performance testing from 2013 to 2022. Several animal models were tested with different combinations of effects and complexity. Model performance was evaluated by the linear regression (LR) method and predictivity. In Czech Large White, the preferred model comprised fixed effects of sex, birth year, herd, and ultrasound device, as well as random effects of herd-year-season (HYS), litter, and animal. In Czech Landrace, HYS was treated as fixed instead. The inclusion of maternal effects was not supported due to questionable impact on the main statistics. The selected model yielded mean absolute bias of 0.11 and 0.19, mean determination of 0.39 and 0.21, mean population accuracy of 0.36 and 0.31, and mean predictivity of 0.13 and 0.08 in Large White and Landrace, respectively. Heritability estimates were overall lower than those reported by other authors: 0.23, 0.10, and 0.10 in Large White and 0.26, 0.10, and 0.09 in Landrace for ADG, BFT, and LMD, respectively. Genetic correlations, on the other hand, reached relatively high values: 0.61, 0.61, and 0.66 in Large White and 0.71, 0.92, and 0.70 in Landrace for ADG-BFT, ADG-LMD, and BFT-LMD, respectively.

  • 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/QK1910217" target="_blank" >QK1910217: Creation of a reference population and development of methods for estimating genomic breeding values of pig traits included into the Czech National Breeding Program.</a><br>

  • Continuities

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Others

  • Publication year

    2024

  • Confidentiality

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

Data specific for result type

  • Name of the periodical

    Livestock Science

  • ISSN

    1871-1413

  • e-ISSN

  • Volume of the periodical

    283

  • Issue of the periodical within the volume

    May

  • Country of publishing house

    NL - THE KINGDOM OF THE NETHERLANDS

  • Number of pages

    9

  • Pages from-to

    105457

  • UT code for WoS article

    001218533400001

  • EID of the result in the Scopus database

    2-s2.0-85189156615