A method for partitioning trends in genetic mean and variance to understand breeding practices
Abstract Background In breeding programmes, the observed genetic change is a sum of the contributions of different selection paths represented by groups of individuals. Quantifying these sources of genetic change is essential for identifying the key breeding actions and optimizing breeding programme...
Main Authors: | Thiago P. Oliveira, Jana Obšteter, Ivan Pocrnic, Nicolas Heslot, Gregor Gorjanc |
---|---|
Format: | Article |
Language: | deu |
Published: |
BMC
2023-06-01
|
Series: | Genetics Selection Evolution |
Online Access: | https://doi.org/10.1186/s12711-023-00804-3 |
Similar Items
-
Assessment of long-term trends in genetic mean and variance after the introduction of genomic selection in layers: a simulation study
by: Ivan Pocrnic, et al.
Published: (2023-05-01) -
AlphaPart—R implementation of the method for partitioning genetic trends
by: Jana Obšteter, et al.
Published: (2021-03-01) -
Investigating the benefits and perils of importing genetic material in small cattle breeding programs via simulation
by: J. Obšteter, et al.
Published: (2023-08-01) -
Genomic Selection for Any Dairy Breeding Program via Optimized Investment in Phenotyping and Genotyping
by: Jana Obšteter, et al.
Published: (2021-02-01) -
SIMplyBee: an R package to simulate honeybee populations and breeding programs
by: Jana Obšteter, et al.
Published: (2023-05-01)