Enteric Methane Emission Estimates for the Zimbabwean Sanga Cattle Breeds of Tuli and Mashona

The effectiveness of methane mitigation in ruminant livestock production systems depends on the accuracy of estimating methane emission factors and providing accurate emission inventories. Following the Paris Climate agreement, it is recommended that countries adopt the Tier-2 approach for estimating enteric methane emissions from ruminants instead of the Tier-1 approach currently used by most countries. This study sought to provide base line enteric methane emission estimates for the Tuli and Mashona Sanga cattle breeds in Zimbabwe using the IPCC Tier-2 model. Using animal characterization data collected from 412 cattle from Grasslands Research Institute and 406 cattle from Makoholi Research Institute, net energy requirements were estimated. From this and the estimate for digestibility, gross energy intake and dry matter intake were estimated. Gross energy intakes and the estimated methane conversion factor were used to estimate enteric methane emissions. Mean emission factors for Tuli were 45.1, 56, 28.5, 28.4, 20.6kg CH4/head/year for cows, bulls, heifers, steers and calves respectively. For Mashona, they were 47.8, 51.9, 29, 29.1 and 20.7kgCH4/head/year for cows, bulls, heifers, steers and calves respectively. Generally, estimated Tier-2 emission factors were significantly different from the IPCC Tier-1 default emission factors. This study concluded that enteric methane emission factors estimated using the IPCC Tier-2 model offer insights into the controversial use of the default IPCC Tier-1 emission factors.

Prevalence of babesiosis in Sanga cattle in the Ohangwena region of Namibia

Three hundred and ninety two (n = 392) blood samples from randomly selected cattle were subjected to the indirect fluorescent antibody (IFA) test to test for antibodies against Babesia spp. The proportions of males (49%) and females (51%) included in the study did not differ significantly. Cattle that were ³5 years constituted 63% of the sampled animals, while cattle that were 0-2 years old were in the minority (14%). Babesia bigemina had the highest prevalence (36.5%), while mixed infections had the least prevalence (13.2%). Based on age, cattle that were 3-4 years old had the highest prevalence of both B. bovis (23.9%) and B. bigemina (44.6 %). Cattle in the 0-2 year age category had the lowest prevalence of both B. bovis (12.3%) and B. bigemina (29.8 %). The 3- 4 years old age category also had the highest prevalence (18.5 %) of mixed infections, while the 0-2-years old had the lowest (8.8%). Overall, B. bigemina had the highest prevalence; however the level of the prevalence of babesiosis in the study area was not at the point where the region could be considered endemically stable.There was no significant association between infection and age, gender and place.

Pedigree analysis of the Afrikaner cattle breed

SummaryThe reduction of genetic variability in beef cattle has been extensively researched on a global scale. However, the genetic variability and inbreeding of indigenous cattle breeds of Southern Africa, referred to as Sanga cattle, has been less well characterized. Breeds of Sanga cattle include Afrikaner, Drakensberger and Nguni breeds. In recent years, the number of Afrikaner cattle and herds has decreased. Our objective was to determine the mean level of inbreeding (F), effective population size (Ne) and generation intervals of Afrikaner cattle using their recorded pedigree. A total of 244 718 records extending from 1940 until 2011 were analysed. The average inbreeding coefficient was 1.83 percent and the effective population size was 167.54. The average generation interval was calculated as 6.6 ± 3.9 years. Pedigree analysis on the Afrikaner cattle population yielded levels of inbreeding that appear to be both acceptable and manageable. By implication, the largeNeresults in a low rate of change inF. Current results study can be utilized by farmers and the breeders’ society to conserve the Afrikaner and utilize the breed to its full potential in the era of climate change.