scholarly journals Metagenomic Sequencing of Wastewater from a South African Research Farm

2018 ◽  
Vol 7 (16) ◽  
Author(s):  
Briallen Lobb ◽  
Anthony A. Adegoke ◽  
Kesen Ma ◽  
Andrew C. Doxey ◽  
Olayinka A. Aiyegoro
Keyword(s):  
South Africa ◽  
South African ◽  
Research Council ◽  
Agricultural Research ◽  
Animal Production ◽  
Wastewater Effluent ◽  
Metagenomic Sequencing ◽  
Content Type ◽  
Agricultural Research Council ◽  
Livestock Health

We sequenced wastewater effluent from the Agricultural Research Council–Animal Production in South Africa that conducts studies on livestock health and farm ecology. Thauera, Oscillibacter, and Pseudomonas were the most abundant genera within the community.

scholarly journals Identification of Novel Sources of Resistance to Sclerotinia Basal Stalk Rot in South African Sunflower Germplasm

2017 ◽  
Vol 18 (2) ◽  
pp. 87-90 ◽  
Author(s):  
Gerald J. Seiler ◽  
Christopher G. Misar ◽  
Thomas J. Gulya ◽  
William R. Underwood ◽  
Bradley C. Flett ◽  
...  
Keyword(s):  
South African ◽  
Research Council ◽  
Agricultural Research ◽  
Disease Incidence ◽  
Field Trials ◽  
Sources Of Resistance ◽  
Breeding Programs ◽  
Stalk Rot ◽  
Agricultural Research Council ◽  
Moderately Resistant

Sclerotinia basal stalk rot (BSR) is a serious fungal disease that reduces yield of global sunflower (Helianthus annuus L.) production. Because limited chemical and biological controls of BSR are available and the present-day hybrids lack sufficient resistance, identification of new sources of resistance is needed to manage the disease in the future. A total of 59 cultivated oilseed sunflower accessions from the Agricultural Research Council, Grain Crops Institute, Potchefstroom, South Africa sunflower collection were evaluated for resistance to BSR in artificially inoculated field trials. Nine accessions from the South African sunflower collection were identified with a disease incidence less than or equal to the moderately resistant sunflower oilseed hybrid. These lines can be used in breeding programs to introgress the genes for resistance to Sclerotinia BSR into other adapted lines, providing a more efficient, durable, and environmentally friendly host plant resistance.

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.

THE RATE OF RETURN ON EXPENDITURES OF THE SOUTH AFRICAN AGRICULTURAL RESEARCH COUNCIL (ARC)

Agrekon ◽  
1998 ◽  
Vol 37 (4) ◽  
pp. 612-622 ◽  
Author(s):  
C. Thirtle ◽  
R. F. Townsend ◽  
J. Amadi ◽  
A. Lusigi ◽  
J. van Zyl
Keyword(s):  
South African ◽  
Research Council ◽  
Agricultural Research ◽  
Rate Of Return ◽  
The South ◽  
Agricultural Research Council

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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