The infrastructure for cattle data at the Swedish university of agricultural sciences, Gigacow

Sammanfattning

Research in animal breeding and precision livestock farming both require vast volumes of highly heterogeneous data, often beyond the capabilities of the universities’ own research farms. To facilitate access to detailed phenotypes from a network of farms, we established the infrastructure for cattle data at the Swedish University of Agricultural Sciences (SLU Gigacow). A main achievement of SLU Gigacow has been the development and implementation of automated daily collection of records from each participating farm’s herd management system to a centralized server at SLU. SLU Gigacow will monitor around 5,000 cows (including annual replacements) when it is fully operational. Although still under development, SLU Gigacow has already received much attention from various stakeholders, as well as media. In the longterm we expect SLU Gigacow to become a valuable infrastructure for discoveries, as well as a testbed for implementation of new technologies.

Publicerad i

Titel: Proceedings of 12th World Congress on Genetics Applied to Livestock Production (WCGALP) : Technical and species orientated innovations in animal breeding, and contribution of genetics to solving societal challenges
Utgivare: Wageningen Academic Publishers

Konferens

12th World Congress on Genetics Applied to Livestock Production (WCGALP). 2022-07-03, Wageningen, the Netherlands

SLU författare

• Klingström, Tomas

  • Institutionen för husdjurens biovetenskaper, Sveriges lantbruksuniversitet
    

• de Koning, Dirk-Jan

  • Institutionen för husdjurens biovetenskaper, Sveriges lantbruksuniversitet
    

• Ohlsson, Jan Ingemar

  • Institutionen för husdjurens biovetenskaper, Sveriges lantbruksuniversitet
    

Globala målen (SDG)

SDG2 Ingen hunger
SDG9 Hållbar industri, innovationer och infrastruktur
SDG13 Bekämpa klimatförändringarna

UKÄ forskningsämne

Jordbruksvetenskap
Bioinformatik (beräkningsbiologi)
Husdjursvetenskap

Publikationens identifierare

• DOI: https://doi.org/10.3920/978-90-8686-940-4_434
• eISBN: 978-90-8686-940-4

Permanent länk till denna sida (URI)

https://res.slu.se/id/publ/132634