K. A. Nephawe

The effect of assisted reproductive technologies on cow productivity under communal and emerging farming systems of South Africa

ABSTRACT The study aimed to determine the effect of assisted reproductive technologies on cow productivity. The study was conducted with organized cattle farmers under communal and emerging farming systems from three provinces, namely; Limpopo, Mpumalanga and KwaZulu-Natal. Cow parameters evaluated were breed type, body frame size, parity, age, body condition score and lactation status. An ovsynch protocol was used during the oestrous synchronization process. All experimental cows were artificially inseminated with frozen-thawed Nguni semen. The study recorded a calving rate of 48%. The dominant cattle breed types were the Bonsmara, Brahman and Nguni. Chi-Square Test of Independence were computed between calving rate and individual factors. The data were further modelled using logistic regression model for SAS, modelling the probability for success. Calving rate was not independent of provinces, districts and body condition score (P < 0.05). Cows in Mpumalanga had more chances to calve than those in Limpopo and KwaZulu-Natal. Nguni cattle breed had more chances to calve down than Brahman (P = 0.815), but less chances than Bonsmara cattle breed (P = 1.630). It is recommended for rural farmers to farm with small framed animals because of their higher chances to calve down compared to other cattle breed.

Pre-Weaning Growth Performance of Piglets at Smallholder Farms in Gauteng Province

The objective of the study was to determine pre-weaning performance of piglets born following artificial insemination (AI) at smallholder farms of Gauteng province. Data from 496 piglets originating from 73 multiparous crossbred sows were used in the study. Litter size, number of piglets born alive, number of piglets weaned, birth and weaning weights were recorded. Data was analysed using the Proc Univariate procedure of SAS. The average litter size was 11.8. The average birth weight and weaning weights were 1.9 and 6.2 kg, respectively. No significant differences were found between male and female piglets for all the growth performance characteristics. Piglets born during winter had a significantly higher (P 0.05). The interaction between sex and season was only confirmed on the total number of weaned piglets (P < 0.01). A highly significant positive correlation was found between litter size and number of piglets born alive (r = 0.86) and total number of piglets weaned (r = 0.50). A highly significant correlation was found between total number of piglets born alive and total number of piglets weaned (r = 0.55). In conclusion, season of birth had the greatest impact on birth and weaning weight, with the highest birth and weaning weights recorded during winter season. However, sex did not affect the pre-weaning performance of piglets.

The future survival of African elephants: Implications for conservation

African elephants (Loxodonta Africana) comprise two subspecies: the savanna elephant (Loxodonta Africana) and forest elephant (Loxodonta Africana cyclotis).1 These animals are found across SubSaharan Africa, inhabiting swamp forests, savannas and desert.2 Savanna elephants live in Eastern and Southern Africa, whereas forest elephants are predominantly found in Central Africa.3,4 Moreover, both savanna and forests elephants can be found in small numbers in Western Africa, although their taxonomic status remains undefined.

Genetic parameters for tick counts across months for different tick species and anatomical locations in South African Nguni cattle.

The objective of the study was to characterise genetic parameters across months for different tick species and anatomical locations in South African Nguni cattle. Tick counts were conducted monthly, over a 2-year period, on 586 Nguni cattle under natural infestation, from four herds located in different provinces of South Africa. The counts were recorded for six species of ticks (Amblyomma hebraeum, Rhipicephalus evertsi evertsi, Rhipicephalus decoleratus and microplus (Boofilids), Rhipicephalus appendiculatus, Rhipicephalus simus and Hyalomma marginatum) attached on eight anatomical locations on the animals and were summed by species and anatomical location. Heritability estimates, phenotypic and genetic correlations were estimated on a monthly basis using mixed linear models, fitting univariate and bivariate sire models. Fixed effects considered were location, sex, year and age as a covariate. Tick counts were higher in the hot months, and A. hebraeum was the most dominant tick species. Heritability estimates for tick count varied by month and trait and ranged from 0 to 0.89. Genetic correlations were mostly positive, and low to high, with some negative correlations with high standard error. Phenotypic correlations were low to moderate. In general, high genetic correlations were observed between whole body count and the anatomical location counts, suggesting that it may not be necessary to conduct whole body counts. Counts from the belly and perineum appeared to be the most suitable surrogate traits for whole body count. These findings provide useful information for developing strategies for the practical implementation of genetic selection, as a supplement to the traditional tick control measures.

24 RELATIONSHIP BETWEEN BOAR SPERM TRAITS AND FERTILITY RATE FOLLOWING ARTIFICIAL INSEMINATION UNDER SMALLHOLDER PRODUCTION SYSTEMS

The prediction of sperm fertility has a great economic importance to the pig breeding industry. The objective of the study was to determine the relationship between boar sperm quality and fertility following artificial insemination (AI) under smallholder production systems. A total of 18 ejaculates were collected from 3 breeding boars using a hand-gloved technique. Aliquots of diluted semen were assessed for sperm motility using a computer aided sperm analysis before AI. Sperm viability was evaluated using Synthetic Binding CD-14 (SYBR-14+)/propidium iodide (PI-), whereas sperm morphology was evaluated using Eosin Nigrosin staining. Fluorescent microscope was used at 100× magnification to count 200 sperm per slide. The semen was extended with Beltsville Thawing Solution and contained 3×109 sperm/dose. A total of 73 multiparous sows were inseminated twice. Fertility was measured by conception rate, farrowing rate, litter size and number of piglets born alive following AI. Sperm quality and fertility data were analysed using one-way ANOVA. Spearmans rank correlation was used to determine the relationship between sperm quality and fertility traits. The mean values for total sperm motility ranged from 93.5 to 96.8%. Progressive and rapid sperm motility differed significantly (P<0.05) among the boars. However, no significant differences were found for sperm velocity traits. The mean values for morphologically normal sperm ranged from 47.8 to 60.9% and live sperm ranged from 71.8 to 77.2%, but did not differ significantly among the boars (P>0.05). Conception rate from different boars varied (P<0.05) from 63.6 to 93.3%. Of all fertility traits studied, conception rate was significantly related to total sperm motility rate (r=0.34, P<0.0029), progressive motility (r=0.29, P<0.0141) and rapid motility (r=0.34, P<0.0032), although relatively low. There was a low positive relationship between morphologically normal sperm and fertility traits (P>0.05). In conclusion, total, progressive, and rapid sperm motility rate were the only sperm traits significantly related to conception rate. Conversely, litter size and number born alive were not correlated with sperm motility, viability, or morphology traits.

Effect of pre-weaning selection on estimates of genetic parameters and breeding values for post-weaning growth rate of beef bulls on test.

Data on South African Angus cattle consisting of 45 259 records on weaning weight (WWT), 4 360 records on average daily gain from on-farm test (ADG-D) and 1 118 from centralized test (ADG-C) were analyzed to evaluate the effect of pre-weaning selection on estimates of genetic parameters and subsequent estimated breeding values (EBV) for post-weaning average daily gain. (Co)variance components and genetic parameters for weaning weight (WWT), ADG-C and ADG-D were estimated by REML procedures fitting three different animal models. Model 1 was a univariate model of WWT, ADG-C or ADG-D and did not account for the effect of pre-weaning selection on post-weaning ADG. Model 2 was a two-trait model of WWT and either ADG-C or ADG-D. Model 3 was a multi-trait animal model including WWT, ADG-C and ADG-D. Estimates of heritability for ADG-C were 0.39 ± 0.080, 0.42 ± 0.060 and 0.44 ± 0.010 from Model 1, 2 and 3 respectively. Corresponding estimates for ADG-D were 0.18 ± 0.020, 0.19 ± 0.020 and 0.21 ± 0.020 respectively. Rank correlations based on EBVs for ADG-C for all bulls were 0.92, 0.83 and 0.94 for Model 1 vs. Model 2, Model 1 vs. Model 3, and Model 2 vs. Model 3, respectively and they indicated a possible re-ranking of bulls when including or excluding a correlated pre-weaning trait. Rank correlations for ADG-D also followed a similar trend. Inclusion of pre-weaning information in genetic analysis for post-weaning average daily gain is necessary to account for selection at weaning.