Effective number of genes and accuracy of genomic evaluations
In this study we estimated the distribution of genetic variance for production and fertility traits across chromosomes, and used this information to calculate the effective number of genes associated to these traits. The estimated numbers of genes were then used in order to assess and to compare the expected accuracies of genomic evaluation using either GBLUP or BayesB. The regression of the proportion of genetic variance attributed to each autosome on its physical length fitted very well a linear relationship for all traits. The estimated effective number of genes ranged from ~400 (for fat percentage and non-return rate) to ~1000 (for milk yield, interval from calving to first insemination and days open). Our results provide evidence that a large number of genes is involved in the inheritance of milk production and fertility traits in dairy cattle. Expected accuracies of genomic predictions ranged from 0.76 to 0.87 for fertility traits, and from 0.83 to 0.92 for production traits. Expected accuracies of genomic evaluation were higher with BayesB for traits with lower number of QTL, and with GBLUP for larger number of QTL.
- Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.
- Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal.
- Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (See The Effect of Open Access).