Genetic Testing Large Animals Flashcards
Why do we do genetic testing
- health
- conformation/ apperance
- inheritance
- breeding value
- ancestry
- production
- inbreeding
Application of genetic testing
how we interpret genetic test results and what we do with them
- medical tx
- culling
- marketing
- rearing/ maintenance
- breeding
Who does gene testing
- breed associations
- internationa/ national associations
- genotyping companies
- AI companies
- Academic institutions
Uses of genetic testing
- depends on acceptance by general public and for industry adoption and use of it
- can be used by individual or by a group
- can be used to educate the public vs to educate a user
genetic test pricing
high density= higher number of markers= higher price= higher accuracy
- realistically the accuracy is fairly close and for the 5% difference in accuracy most consumers will go with lower density and lower price
DNA sample options
- hair
- blood
- tissue
- nasal swab
- semen
genetic merit
what is the genetic value of the animal; objective score of that animals value
- estimate for this evolved from looking at phenotype and pedigree
- now look at phenotype genotype and pedigree this allows you to estimate values of traits not exhibited (ex milk production in bulls)
parent average
genetic average of each parent’s genetic value; assumes offspring inherit exactly 1/2 of parents genetic merit for all traits and that parents are 100% correctly IDed
estimation of genetic merit
- genotypic value
- breeding value
- progeny difference= transmitting ability
- producing ability
genotypic value
value of an individuals genes on their own performatnce
breeding value
value of an individuals genes on their progeny’s performance
progeny difference= transmitting ability
expectation of what progeny inherits from their parents
producing ability
performance potential of an individual for a repeated trait (Ie milk production in a dairy cow)
progeny testing vs genomic prediction
investment progeny testing= time and cost or raising animal and progeny until performance evaluated
investment genomic prediction= genomic research, industry infrastructure, producer buy in
genomics- has better accuracy of genetic merit and trait selection, lets you evaluate merit of young stock, validate parentage, check for cacciers for genetic conditions
genomic prediction
- need a reference population so take all of these cows who’s phenotypes for things like milk production have been recorded and genotype them
- get prediction equations associations between SNP and phenotypes (what marker indicates what phenotype) and look at how that gives genetic merit
- once you have reference pop must still keep sequencing because populations change
Rate of genetic change equation
Expected genetic progress per year= { (square root of genetic variance) (selection differential ie intensity) (square root of accuracy)}/ generational interval