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”

Current challenges for trait economic values in animal breeding

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00027014%3A_____%2F20%3AN0000203" target="_blank" >RIV/00027014:_____/20:N0000203 - isvavai.cz</a>

  • Result on the web

    <a href="https://www.agriculturejournals.cz/publicFiles/161_2020-CJAS.pdf" target="_blank" >https://www.agriculturejournals.cz/publicFiles/161_2020-CJAS.pdf</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.17221/161/2020-CJAS" target="_blank" >10.17221/161/2020-CJAS</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Current challenges for trait economic values in animal breeding

  • Original language description

    Modern selection approaches are expected to bring about the cumulative and permanent improvement of animal performance and profitability of animal production. Breeding values of traits along with trait economic values (EVs) are utilised for economic selection purposes with many species all over the world. Currently, some challenges related to trait EVs in animal breeding should be considered. First, the selection response based on the higher accuracy of genomic selection may be reduced due to improper weighting of the trait breeding values of selection candidates. A comprehensive approach applied in bioeconomic models allows suitable trait EV calculations. Further challenges comprise the new breeding objectives associated with climate change, environmental mitigation and animal adaptability. The estimation of EVs for traits influencing greenhouse gas (GHG) emissions has been mostly based on including the value of CO2 emission equivalent in the trait EVs, on calculating EVs for feed efficiency traits and on methane yield as a direct trait of GHG emission. Genetic improvement of production, functional, feed efficiency and methane traits through the application of multi-trait selection indices was found to be crucial for mitigation of emissions and farm profitability. Defining the non-market values of traits connected with climate protection could be a useful solution for including these traits in an economic breeding objective. While GHG emissions mostly change the costs per unit of production, animal adaptability in its complexity influences animal performance. Clear definitions of disease, fertility, mortality and other breeding objective traits allow the proper calculation of trait EVs, and an accurate estimation of trait genetic parameters could lead to sufficient economic selection response. This complex approach could be beneficial for more effective utilisation of inputs and overall economic and environmental sustainability of animal production.

  • 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

    2020

  • Confidentiality

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

Data specific for result type

  • Name of the periodical

    Czech Journal of Animal Science

  • ISSN

    1212-1819

  • e-ISSN

  • Volume of the periodical

    65

  • Issue of the periodical within the volume

    12

  • Country of publishing house

    CZ - CZECH REPUBLIC

  • Number of pages

    9

  • Pages from-to

    454-462

  • UT code for WoS article

    000603475600003

  • EID of the result in the Scopus database