Genetic architecture of fertility traits in hormonally synchronized and heat detected dairy cows
Abstract
Ovulation synchronization is becoming a popular alternative to estrus detection in the dairy industry. Accurate heat detection (HD) can be challenging and because of this, ovulation synchronization in combination with artificial insemination, known as timed artificial insemination (TAI), has become a management tool for producers. In addition to overcoming reproductive inefficiencies, TAI can be used reduce the interval between calving and conception. Previous research has shown that using TAI affects accuracy of genetic evaluations for fertility traits. Moreover, bulls ranked differently for fertility traits under TAI and HD scenarios, suggesting that selection for fertility traits without differentiating between breeding methods might lead to potential bias within genetic evaluations. The objectives of this study were to estimate genetic correlations between fertility traits measured under TAI and HD in Canadian Holstein cows. Lactanet provided data containing 3 842 breeding protocol descriptions, of which 2 002 were classified as TAI and 1 840 as HD. First parity cows were included in the dataset, excluding heifers due to a low frequency of TAI usage in this category. Calving to first service (CTFS), first service to conception (FSTC), and days open (DO) were the fertility traits considered. The final dataset included 228 744 records from 152 104 cows. The genotype dataset included 6 985 genotyped cows with records for FSTC and DO and 7 220 genotyped cows with records for CTFS. Variance components were estimated using a Bayesian single-step GBLUP multiple-trait animal model adapted from models used by Lactanet in the genetic evaluations for fertility traits. The heritability estimates were slightly different between HD and TAI (FSTC (0.02, 0.03), CTFS (0.02, 0.01), and DO (0.03 and 0.04), with all the posterior standard deviation (PSD) values < 0.003) and were in the range of those in the literature. The additive genetic correlation (± PSD) between HD and TAI were 0.73 ± 0.04, 0.89 ± 0.03 and 0.91 ± 0.01 for FSTC, CTFS and DO, respectively. The genetic correlations less than unity suggest the phenotypic expression of two different traits. In the next step, we will explore the potential different genetic backgrounds between HD and TAI traits by performing genome-wide association studies.
Downloads
Published
Issue
Section
License
Authors who publish with this journal agree to the following terms:
- 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).