Tree breeding values are based on rating a tree seedlots' genetic worth for a specific trait of interest.
Genetic worth is an index that has been developed in British Columbia to assist seed orchard managers with optimizing the potential genetic gain from orchard seed. It is also used to translate changes in the level of genetic improvement in reforestation stock into growth and yield predictions.
Generally, breeding values are predicted for an average site in the seed planning zone. Tree breeding programs are moving into advanced generation selection (forward selection), and many programs incorporate traits with both quantitative and threshold or binomial distributions, such as pest or disease resistance. Consequently, government researchers use data analysis software to analyze complex linear mixed models.
Researchers are developing analytical methods to deal with both backward selection breeding values, based on parental breeding value prediction, and forward selection breeding values, based on within-family or animal model predictions. The methods use best linear prediction or best linear unbiased prediction methodologies.
References
ASReml software is used by forest genetic researchers to analyse large datasets and complex statistical models.
Send your inquiry to a key contact from the forest genetics research program: