The role of assisted reproduction technologies in improving cattle production under communal and emerging farming systems in Limpopo, Mpumalanga and KwaZulu-Natal, South Africa

The aim of the study was to determine the effect of assisted reproductive technologies (ARTs) in improving cattle production with the purpose of providing policy directives for the successful implementation of the ART project among communal and emerging livestock systems. The study was conducted under communal and emerging cattle farming systems in Limpopo, Mpumalanga and KwaZulu-Natal provinces. The selected districts in Limpopo were Vhembe, Capricorn, Mopani and Waterberg, in Mpumalanga were Gert Sibande and Ehlanzeni while in KwaZulu-Natal the selected districts were Zululand and Harry Gwala. A total of 282 cows were selected for the study, 38 percent in Limpopo, 32 percent in Mpumalanga and 30 percent in KwaZuluNatal. The cow parameters evaluated were breed type, parity, age, body condition score, frame size and lactation status. An ovsynch protocol which allows for fixed-time artificial insemination (FTAI) was used during the oestrous synchronisation process. A heat mount detector (Karma®) was used to detect oestrous synchronisation response. The dominant cattle breed types were the Bonsmara, Brahman and Nguni. All experimental cows that responded positively to oestrous synchronisation protocol and were inseminated with semen from a Nguni bull. Chi-Square Test of Independence were computed to determine the association among factors. Data was further modelled using the logistic regression model of SAS, establishing the probability of success. Districts, breed type, parity, age, and lactation status did not significantly influence (P > 0.05) conception rate following oestrous synchronisation and timed artificial insemination. However, conception rate was not independent (P 0.05). However, calving rate was not independent of provinces, districts and body condition score (P < 0.05). Calving rate in Mpumalanga (58 percent) and KwaZulu-Natal (54 percent) was significantly higher (P < 0.05) than that recorded in Limpopo Province (36 percent). Calving rate of Gert Sibande (61 percent) and Ehlanzeni (50 percent) districts in Mpumalanga and Zululand (50 percent) and Harry Gwala (61 percent) in KwaZulu-Natal was significantly higher (P < 0.05) than that of the Capricorn (32 percent), Mopani (23 percent and Waterberg (30 percent) in Limpopo Province with the exception of Vhembe (44 percent). Cows with body condition score of ≤ 2.5 (60 percent) had a significantly higher (P < 0.05) calving rate than those with a body condition score of 3 (43 percent). Cows in Mpumalanga had more chances to calve than those in Limpopo and KwaZulu-Natal with odds ratio of 0.076 and 0.537, respectively. Additionally, quantitative data was collected through in-depth interviews using a semi-structured questionnaire. Data collected was managed and coded into themes using the Nvivo Version 11 software programme. Themes and issues that emerged were analysed and interpreted using critical social thinking and systems thinking. The results of the study revealed many factors that could compromise the implementation and adoption of ARTs in the study areas. The general feeling amongst cattle farmers interviewed was that government should address these challenges. A shortage of bulls was the main cause of the low cattle reproduction rate. The Nguni breed type cattle was perceived as the ideal cattle breed for rural areas by respondents. Oestrous synchronisation and artificial insemination can be applied under communal and emerging farming systems with success. From the study results, breeding with small framed animals such as the Nguni type breed under communal and emerging farming systems makes a lot of sense because the breed is known for its low feed maintenance requirement. Furthermore, cattle stakeholders should co-operate and work together to address many of the constraints facing cattle productivity and the implementation and adoption of ARTs in rural areas

Evaluation of breeding practices and morphological characterization of donkeys in Blouberg Local Municipality, Limpopo province: Implication for the design of community-based breeding programme.

Identification of livestock farmers' breeding practices and morphological characterization of livestock are the important first steps to the successful implementation of any breeding programme. Community-based breeding programme (CBBP) has gained attention as a promising method for the genetic improvement of livestock but lacks information on donkey breeding. The study was conducted to identify donkey farmers' breeding practices and donkey morphological characterization in three purposely selected villages (Thorne, Archibalt and Genau) located in Blouberg Local Municipality, Limpopo province of South Africa. Questionnaire survey method was used to collect the data from twenty-one donkey farmers while body weight and seventeen morphological traits were measured for the morphological characterization from seventy-four donkeys. Descriptive statistics and index values were computed to describe donkey breeding practices. Chi-square statistics were used to compare categorical variables among villages. General Linear Model procedure was used to compare morphological characteristics of donkeys among villages. The results revealed that there was no statistical different (P>0.05) observed on socio-economic characteristics of donkey farmers except on education level (P0.05) among villages. The most common trait preferences of donkey farmers among the surveyed villages were body size and growth rate in breeding males while in breeding females were body size, twining ability and mothering ability. The results indicated that in all the eighteen measured traits only four showed a significant difference (P<0.05) among the villages and some were significantly correlated with body weight (P<0.05). The results of this study will serves as basis for the development and implementation of CBBPs for donkey farmers at Blouberg Local Municipality of South Africa

Raw data for socio-economic characteristics of donkey farmers.

It is an Excel file with all the variables explained fully in column M of the sheet. (XLSX)</p

Chuck coal donkey.

Chuck coal donkey.</p

Ranks and indices for trait preference in male donkeys.

Ranks and indices for trait preference in male donkeys.</p

SAS Programming for data analysis of morphological characterization of donkeys.

It is an SAS file with all the syntax used for statistical analysis. (SAS)</p

Raw data for breeding practices.

It is an Excel file with variables fully explained in column I of the sheet. (XLSX)</p

Light brown donkey.

Light brown donkey.</p

The consent form used in the survey.

The documented consent form was developed to be signed by each donkey farmer before commence data collection. (PDF)</p

Selection criterion used by donkey farmers.

Selection criterion used by donkey farmers.</p