The aim of this study was to investigate population structure and genetic trends based on pedigree and performance records of five indigenous African beef cattle breeds (Afrikaner, Boran, Drakensberger, Nguni and Tuli) in South Africa. Pedigree completeness over six generations was higher than 88.5% in the first generation for all breeds, except for the Boran, which was introduced to South Africa only recently. The average generation interval ranged between 6.0 and 6.4 years. The rates of inbreeding per generation varied between 0.18% and 0.52%, while the effective population sizes ranged between 89 and 364. This is sufficient to maintain the genetic diversity within all of these populations. Inbreeding and effective population size for the Boran breed could not be accurately estimated, because it was introduced into South Africa only recently. Estimated breeding values for growth traits and scrotal circumference were also included for analyses to determine genetic trends of the same five breeds. Breeding values were regressed on birth year from 1986 to 2012. Genetic progress has been made in weaning and post weaning weights for all the breeds. This study has confirmed the benefits of having sufficient pedigree and performance data available for genetic evaluations and application in selection for genetic improvement. ______________________________________________________________________________________
The aim of this study was to benchmark the performance of dairy cows in the low-input smallholder system against their counterparts in the high-input system, in South Africa. Data comprised of cow performance records from the national dairy recording scheme. Performance measures included production (305-day yields of milk, fat, and protein), lactation length, somatic cell count (SCC), and reproductive traits, represented by age at first calving (AFC) and calving interval (CI). Least squares means of each trait were compared between the two systems, and lactation curves for production traits and SCC were plotted for each production system. Mean yields of milk, fat, and protein were significantly (P < 0.05) lower in the smallholder (4097 ± 165, 174 ± 5.1, and 141 ± 4.5 respectively) compared to the high-input system (6921 ± 141, 298 ± 4.7, and 245 ± 4.1 respectively). Mean lactation length was significantly (P < 0.05) shorter for the smallholder (308 ± 15.1) than the high-input system (346 ± 12.8). Log-transformed somatic cell count (SCS) was, however, significantly (P < 0.05) higher in the smallholder (2.41 ± 0.01) relative to the high-input system (2.27 ± 0.01). Cows in high-input herds showed typical lactation curves, in contrast to the flat and low peaking curves obtained for the smallholder system. Cows on smallholder herds had their first calving significantly (P < 0.05) older (30 ± 0.5) than those in the high-input system (27 ± 0.5). There was, however, no significant difference (P < 0.05) in CI between the two systems. These results highlight large room for improvement of dairy cow performance in the smallholder system and could assist in decision-making aimed at improving the productivity of the South African dairy industry.
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