Sammanfattning

Spatial modelling is recognized as an important factor for assessment of breeding values in plant trials. 841 Scots pines were analyzed using version 2.0 of the hglm package. Both random additive genetic effects and spatial effects were included in the model. The covariance structures for the genetic and spatial effects were given by the additive relationship matrix and a conditional autoregressive (CAR) model, respectively. The genetic variance decreased by 24% when the spatial effects were included, which confirms the importance of including spatial effects in plant trials. The possibility to fit CAR models in the hglm package is expected to facilitate spatial modelling in genetic studies including animal breeding applications.

Publicerad i

Titel: Proceedings of the 10th World Congress of Genetics Applied to Livestock Production
Utgivare: WCGALP

Konferens

10th World Congress of Genetics Applied to Livestock Production

SLU författare

• Rönnegård, Lars

  • Institutionen för husdjurens biovetenskaper, Sveriges lantbruksuniversitet
    

• Felleki, Majbritt

  • Institutionen för husdjurens biovetenskaper, Sveriges lantbruksuniversitet
    

• Shen, Xia

  • Institutionen för kliniska vetenskaper, Sveriges lantbruksuniversitet
    

UKÄ forskningsämne

Genetik och förädling


Permanent länk till denna sida (URI)

https://res.slu.se/id/publ/63392