Abstract:
Stillbirth is a trait of high economic importance in dairy cattle and is increasingly being 
included in dairy cattle breeding objectives worldwide. In South Africa, however, there 
is limited information on stillbirth that can be used to improve this trait genetically.
Currently, there are no estimated breeding values (EBVs) for any measures of calving 
performance produced under the national genetic evaluation programme. The current 
study was, therefore, conducted to assess the incidence of stillbirth and estimate the 
genetic and environmental influences on maternal effects for stillbirth in South African 
Holstein cattle, to enable estimation of breeding values for the trait. Data used in the 
study comprised 13 143 calving records of 7 723 Holstein cows, from 41 herds,
participating in the National Dairy Animal Recording and Improvement Scheme during 
the period 2014 to 2018. Incidence of stillbirth was determined using the PROC FREQ 
procedure and environmental effects were tested by the General Linear Models (GLM) 
procedure of Statistical Analysis System (SAS 9.4, 2016). Maternal heritability of 
stillbirth was estimated by the Restricted Maximum Likelihood (REML) procedure, 
using the ASReml software (Gilmour et al., 2018). The analyses were carried out using 
a threshold animal model and a repeatability animal model, where the latter
considered stillbirth in different parities as repeated measures of the same trait.
Environmental effects significantly influencing stillbirth (p<0.05) were herd-year season of calving, dam parity and calf sex, and these were included in the model for 
variance component estimation. Estimates of maternal heritability effects from the 
threshold animal model were 0.12±0.04, 0.15±0.08 and 0.14±0.06 for parities 1 to 3, 
respectively. The repeatability animal model gave a heritability estimate of 0.09±0.03 
and a repeatability of 0.18±0.03. The moderate estimates of maternal heritability 
indicate scope for reducing incidence of stillbirth by selectively breeding cows that are
less genetically predisposed to calving dead calves. Stillbirth in different parities should 
not be considered as the same trait, as indicated by the low repeatability estimate.
Results of the current study estimate genetic parameters that are required to compute 
accurate estimated breeding values (EBVs) for stillbirth, which will enable South 
African Holstein farmers to select for reduced stillbirths, thus improving calving 
performance