title: Novel approaches to genetic analysis of fertility traits in New Zealand dairy cattle.
abstract: The fertility of dairy cattle in New Zealand is well below industry targets, and the current New Zealand fertility breeding value (BV) could potentially be improved using additional information and traits. Data from 169 herds were analyzed to determine the benefits of using alternative phenotypic measures in the calculation of the fertility BV. The heritability of calving season day (CSD; calving season day as an integer day of the year) and the probability of an animal calving within 42 d of the planned start of calving (CR42) increased modestly (from 0.0206 to 0.0213 and 0.0087 to 0.0092, respectively) after accounting for the use of intravaginal progesterone-releasing devices for treatment of anestrous cows (anestrum treatment) and induced calvings. Incidence of either anestrum treatment or calving induction as a single binomial trait (AT/IND) had a heritability of 0.0223 and showed moderate genetic correlation with the probability of an animal being mated within 21 d of the planned start of mating (PM21; -0.4473), but much higher with CSD (0.8445). The use of pregnancy diagnosis data allowed fertility information that would otherwise be discarded to be included in analyses; when used to assign a prolonged CSD and a value of 0 for CR42 to animals that failed to calve, it increased the heritabilities of both of these traits (to 0.0278 and 0.0114, respectively). Because CSD was found to be more than twice as heritable as its binary counterpart, it shows potential to replace CR42 as the calving trait used in the fertility BV. Postpartum anestrous interval (PPAI), derived using incomplete premating estrous recording in some herds, had a heritability of 0.0813 and hence has potential as a trait to be included in genetic improvement programs but would require more rigorous recording of estrous during the premating period to be an effective trait. Based on selection index theory, the modifications made to current selection criteria using novel fertility traits increased the accuracy of prediction of fertility merit by more than 12%. Because of the increasing economic importance of fertility traits, and low heritabilities requiring large numbers of recorded daughters to get accurate fertility BV predictions on sires, data recorded on farm will become increasingly important in the genetic improvement of fertility.
authors.affiliation: AbacusBio Limited, Dunedin 9058, New Zealand.
authors.forename: F E
authors.initials: FE
authors.lastname: Bowley
authors.affiliation: AbacusBio Limited, Dunedin 9058, New Zealand.
authors.forename: R E
authors.initials: RE
authors.lastname: Green
authors.affiliation: AbacusBio Limited, Dunedin 9058, New Zealand. Electronic address: pamer@abacusbio.co.nz.
authors.forename: P R
authors.initials: PR
authors.lastname: Amer
authors.affiliation: DairyNZ Limited, Hamilton 3240, New Zealand.
authors.forename: S
authors.initials: S
authors.lastname: Meier
mesh_terms: D000818:Animals; D001947:Breeding / Q000379:methods*; D002417:Cattle / Q000235:genetics / Q000502:physiology*; D003612:Dairying; D005260:Female; D005298:Fertility / Q000235:genetics*; D005820:Genetic Testing; D007315:Insemination, Artificial / Q000706:statistics & numerical data / Q000662:veterinary*; D008957:Models, Genetic; D009520:New Zealand
keywords: dairy cattle; fertility; genetic evaluation; heritability