scholarly journals Retrospective study on the incidence of Salmonella isolations in animals in South Africa, 1996 to 2006

2010 ◽  
Vol 81 (1) ◽  
Author(s):  
A. Kidanemariam ◽  
M. Engelbrecht ◽  
J. Picard
Keyword(s):  
South Africa ◽  
Retrospective Study ◽  
Salmonella Enterica ◽  
Animal Species ◽  
Agricultural Research ◽  
Individual Species ◽  
Agricultural Research Council ◽  
Serovar Typhimurium ◽  
Common Serotypes ◽  
Veterinary Institute

A retrospective study that involves the analysis of laboratory diagnostic data collected during the period 1996-2006 was conducted. A total of 3417 Salmonella isolations involving 183 different serotypes was recorded from 1999-2006, inclusive, at the Onderstepoort Veterinary Institute, Agricultural Research Council, South Africa. The most common serotypes were Salmonella enterica subspecies enterica serovar Typhimurium (917 incidents), Salmonella enterica subspecies enterica serovar Dublin (248 incidents), Salmonella enterica subspecies enterica serovar Enteritidis (232 incidents), Salmonella enterica subspecies enterica serovar Muenchen (164 incidents), Salmonella enterica subspecies enterica serovar Heidelberg (118 incidents) and Salmonella enterica subspecies enterica serovar Chester (113 incidents). The number of recorded Salmonella isolations over the period 1996 to 2006 varies considerably from year to year. The peak of 693 isolations was recorded in 1997, and the lowest, 108 incidents, in 2001. Of the total incidents recorded during the period of survey, 2410 (70.5 %) occurred in poultry and other birds, 641 (18.75 %) occurred in cattle, 255 (7.46) in pigs and 111 (3.24 %) in sheep. Despite the large number of serotypes isolated (183), 52% of incidents were due to only 6 serotypes in decreasing order of prevalence : S. Typhimurium, S. Dublin, S. Enteritidis, S. Muenchen, S. Heidelberg and S. Chester. Serovar Typhimurium was the most common serotype and was detected in all animal species sampled, with, 65 % (598) of the incidents occurring in poultry and 20 % (187) occurring in cattle. Of the total of 248 incidents of S. Dublin serotype, 95.6 % (237) of incidents occurred in cattle and of the 232 isolates of S. Enteritidis, 223 (96 %) originated from poultry. Serovar Choleraesuis was identified in 16 isolates from pigs. The following 4 serotypes were each recorded in more than 50 incidents : S. Hadar (102), S. Schwarzengrund (99), S. Mbandaka (94) and S. Sandiego (73). The trends of annual incidence of Salmonella infection in cattle, sheep, pigs, poultry and other birds during the 11-year period and the distribution of the main serotypes in individual species of animals from 1996-2006 are discussed.

scholarly journals Whole-Genome Sequence of Salmonella enterica subsp. enterica Serovar Typhimurium Strain WG49 and Escherichia coli Strain WG5 Used in South Africa for Phage Detection in Water Samples

2018 ◽  
Vol 6 (26) ◽  
Author(s):  
L. Bothma ◽  
D. Gonzalez-Ibeas ◽  
C. Mienie ◽  
C. C. Bezuidenhout ◽  
R. Adeleke
Keyword(s):  
Escherichia Coli ◽  
South Africa ◽  
Genome Sequence ◽  
Water Samples ◽  
Salmonella Enterica ◽  
Coli Strain ◽  
Whole Genome Sequence ◽  
Whole Genome ◽  
Content Type ◽  
Serovar Typhimurium

Salmonella enterica subsp. enterica serovar Typhimurium WG49 is widely used for enumeration of F-specific RNA (F-RNA) coliphages in water.

scholarly journals The Structure of the sunflower plant breeders’ rights landscape in South Africa

2020 ◽  
Vol 116 (9/10) ◽  
Author(s):  
Charity R. Nhemachena ◽  
Binganidzo Muchara
Keyword(s):  
South Africa ◽  
South African ◽  
Agricultural Research ◽  
Weather Conditions ◽  
The South ◽  
Data Set ◽  
Agricultural Research Council ◽  
Adverse Weather ◽  
Private And Public ◽  
Plant Breeders Rights

Varietal innovations and protection of plant breeders’ rights (PBRs) contribute to the development of any crop’s ability to produce higher yields relatively consistently. Producing yields under adverse weather conditions and the overall characteristic of drought tolerance, make the sunflower an attractive crop for producers in dryland production regions. The main objective of this study was to give an overview of the structure of the South African sunflower breeding programme, focusing on the construction of PBRs and the leading players in sunflower breeding and seed production in South Africa. We compiled a detailed database of sunflower varietal innovations in South Africa from 1979 to 2019 using various sources such as the South African Grain Laboratory, the Department of Agriculture’s Plant Variety Journals and the Crop Estimation Committee. This data set was then analysed using descriptive statistics and trend analysis to determine the main trends in ownership of PBRs and sunflower varieties. We looked at the inclusion of new sunflower varieties on the national variety list for sunflower varietal improvements in South Africa over this period. A total of 76 PBR sunflower varietal applications were lodged for the period – an average of 1.9 applications per year. The principal applicants for varietal inclusions on the national variety list were Pannar with 102 varieties (23.8%), Pioneer seeds with 51 varieties (11%), Saffola seed with 42 varieties (9.8%) and Agricultural Research Council with 10 varieties (2.3%). In order for breeders to benefit from their investment in research and avoid exploitation of their work, they need to be protected and receive returns on their investments. Innovation can be stimulated by proper collaboration between the private and public sectors, aided by broader variety sector legislation that encourages all players to invest.

scholarly journals An assessment of climate-smart agriculture (CSA) practices skills amongst extension practitioners in South Africa

2021 ◽  
Vol 49 (2) ◽  
pp. 70-83
Author(s):  
Maka ◽  
Ngotho ◽  
Sue Walker ◽  
Ngcamphalala ◽  
Maboa
Keyword(s):  
Climate Change ◽  
South Africa ◽  
Agricultural Research ◽  
Training Programme ◽  
Theoretical Understanding ◽  
South African Council ◽  
Survey Tool ◽  
Agricultural Research Council ◽  
Correct Definition ◽  
Smart Agriculture

One of the roles of extension services is to link farmers to the developers of technological solutions (research outputs). Extension officers act as facilitators and assist farmers in their decision-making and technology adaptation. With the changing climate threatening production resources, extension officers need to encourage farmers to adopt various climate-smart agriculture (CSA) practices. The paper seeks to reflect on a study by the Agricultural Research Council (ARC) to assess their skills and knowledge about climate change and CSA. The study aimed to conduct a skills audit on CSA and related concepts. Through a stratified sampling method, all extension practitioners (EPs) registered with South African Council for Natural Scientific Professions (SACNASP) were included in the survey. The survey, administered through a user-friendly tool (online google forms), was developed to investigate: familiarity with, and current skills in climate-smart agriculture and collect biographic information, field of responsibility (e.g. cropping, livestock and mixed farming). Both quantitative and qualitative data was sourced through the survey tool to draw generalized conclusion and perceptions of how best to improve the capabilities of EPs on CSA. The results of the survey showed that EPs had a theoretical understanding of climate change and CSA. Generally, EPs across all positions, education levels, age categories and experience could identify the correct definition and cause of climate change, despite the fact that the majority had not received any CSA training. On the contrary, the majority of respondents had little understanding of how best to apply the CSA approach in practice, to assist farmers curb the effects of climate change. A CSA training programme was developed to establish a strong theoretical base, together with an understanding of the challenges presented by climate change and climate variability to sustainable agriculture in South Africa.

Salmonella entericaserotypes and antibiotic susceptibility in New Zealand, 2002–2007

2009 ◽  
Vol 138 (3) ◽  
pp. 322-329 ◽  
Author(s):  
E. I. BROUGHTON ◽  
H. M. HEFFERNAN ◽  
C. L. COLES
Keyword(s):  
New Zealand ◽  
Salmonella Enterica ◽  
Antibiotic Susceptibility ◽  
Serovar Typhimurium ◽  
Common Serotypes ◽  
Almost All ◽  
Changes Over Time ◽  
Over Time

SUMMARYWe analysed the serotypes and antibiotic susceptibility of 1560 human and 1505 non-humanSalmonellaisolated in New Zealand (NZ) between 2002 and 2007. The most common serotypes in humans wereSalmonella entericaserovar Typhimurium,S. Enteritidis,S. Brandenburg andS. Infantis. Over the 6-year period human cases due toS. Agona andS. Enteritidis increased and cases due toS. Typhimurium decreased. The most common serotypes from non-human sources wereS. Typhimurium,S. Brandenberg,S. Hindmarsh andS. Infantis, and there were no significant changes over time. More isolates were non-susceptible to streptomycin than to any other antibiotic. Almost all isolates were susceptible to ciprofloxacin and gentamicin. There were significant trends of increasing non-susceptibility to streptomycin and sulfonamides in isolates from human and non-human sources, while ampicillin, tetracycline and multidrug non-susceptibility also increased in human isolates. Despite these increases, rates of antibiotic non-susceptibility inSalmonellain NZ are still lower than in many international settings.

scholarly journals SASRAD: An hourly-timestep solar radiation database for South Africa

2009 ◽  
Vol 20 (1) ◽  
pp. 25-34 ◽  
Author(s):  
Daniel Ciolkosz
Keyword(s):  
South Africa ◽  
Solar Radiation ◽  
South African ◽  
Agricultural Research ◽  
Data Sets ◽  
Correction Algorithm ◽  
The South ◽  
Data Set ◽  
Agricultural Research Council ◽  
Range Correction

A methodology is presented for the correction and filling of solar radiation data at sites within South Africa, with the aim of creating a continuous, hourly-timestep dataset for multiple locations. Data from twenty sites, collected by the Agricultural Research Council, are analysed with regard to the amount of data requiring offset or multiplier adjustment, as well as the amount of bad data. A range correction algorithm is implemented based on the 90th percentile (10% exceedance) hourly irradiance, as a function of site latitude and elevation. The resulting, corrected data set is given the title: South African Solar Radiation Database (SASRAD). Comparisons are made with two other solar radiation datasets, the South African Atlas of Agrohydrology and Climatology, and a limited set of older historical data from the South African Weather Service (SAWS). Results indicate that the SASRAD dataset matches well with other datasets, with major discrepancies apparently due to problems with the other data sets, rather than the SASRAD data. The Coefficient of Multiple Determination (R2) between the Atlas and SASRAD for monthly radiation is 0.927, and the mean error between three of the SASRAD sites and the corresponding SAWS data is 1.1 MJ m-2 d-1. The fraction of data requiring correction varied from 11% to 100%, depending on the site. The range correction algorithm was successful at correcting data that had been subject to incorrect calibration, and did not remove annual trends in mean radiation levels.

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