scholarly journals 298 Can phenomics contribute to improved livelihood and food security in South Africa?

2020 ◽  
Vol 98 (Supplement_4) ◽  
pp. 29-29
Author(s):  
Carina Visser ◽  
Allan De Freitas ◽  
Este Van Marle Koster ◽  
Herman Myburgh

Abstract In South Africa, there are almost 14 million cattle, which constitute 1.6 million dairy and 12.5 million beef cattle. Of the latter, approximately 53% are kept in commercial systems and the remaining 47% in informal systems. Phenotypic and pedigree recording of livestock faces constraints in terms of the extensive nature of the farming systems and the large informal livestock sector consisting of communal and small-holder farmers, which is characterized by a general lack of resources such as financial, infrastructural and extension support. Animal recording thus remains a challenge in both the commercial and informal agricultural sectors. This review will evaluate the use of precision phenotyping in the beef and dairy cattle industries of South Africa, and highlight the challenges, limitations and possible impact of the technology. Measuring objective, relevant phenotypes, such as activity level, temperature, and weight of an individual animal over time, could assist in detecting sickness before it exacerbates to the point of death. Weight measurement would be especially useful in the developing sector, where infrastructure is not available and could provide insight into the nutritional needs of the livestock, timing of the mating period, the possibility of disease or internal and external parasites. Measuring vital parameters and using them to predict various future occurrences would empower emerging farmers to optimize productivity by providing critical information to the farmer at any given time. Phenomics will provide new and emerging farmers the opportunity to participate in the agriculture economy, which will have a lasting effect of upliftment and empowerment and also contribute to the country’s agriculture output and its gross domestic product. Farmers will benefit from the use of automated technologies in terms of improved animal welfare and economic sustainability in resource-poor areas.

2017 ◽  
Vol 9 (5) ◽  
pp. 133
Author(s):  
Tadesse Yohannes ◽  
Kahiu Ngugi ◽  
Emmanuel Ariga ◽  
Monday Ahonsi ◽  
Nasser Yao ◽  
...  

Sorghum (Sorghum bicolour (L.) Moench), the most important cereal crop in Eritrea, is grown in more than 210,000 ha annually but its productivity is hampered by many factors including: farmer perception, lack of appropriate varieties, undeveloped seed systems, drought stress and Striga infestation. This study was aimed at understanding the sorghum smallholder livelihoods, farming systems, Striga incidence and infestation levels, and types of varieties grown in Striga infested sorghum growing areas. A semi structured questionnaire and focused group discussions were used to gather information from a total of 136 randomly selected farmers from three Striga endemic sub-regions of Eritrea namely, Hamelmalo, Goluj, and Tesseney. The results indicated that the most important cereal crops in the study area were sorghum, pear millet, ground nut and sesame. The most important constraint to sorghum production was identified as drought stress followed by Striga infestation. The majority of the respondents (81.6%) reported that their sorghum was affected by Striga and the level of infestation varied from mild (10%) to severe (70% and above). Small-holder farmers also indicated that high grain yield, drought tolerance/resistance and Striga resistance were their most important criteria when selecting sorghum varieties. Up to 31 different landraces were listed as the most popular in the study area. The dominant source of seed for cultivation was the local varieties retained by farmers from previous harvests. The information documented from this study may be used in future as a basis for a participatory farmer-oriented sorghum breeding program.


2021 ◽  
Vol 8 (1) ◽  
Author(s):  
Davina L. Saccaggi ◽  
Melanie Arendse ◽  
John R. U. Wilson ◽  
John S. Terblanche

AbstractBiosecurity interception records are crucial data underlying efforts to predict and manage pest and pathogen introductions. Here we present a dataset containing information on imported plant products inspected by the South African Department of Agriculture’s laboratories between 1994 and 2019 and the contaminant organisms found on them. Samples were received from border inspectors as either propagation material (e.g. plants) or material for immediate use (e.g. fruit). Material for immediate use was further divided into two sample categories, depending on if contaminants were seen/suspected by the border official or not: intervention or audit samples. The final dataset consists of 25,279 records, of which 30% tested positive (i.e. had at least one contaminant) and 13% had multiple contaminants. Of the 13,731 recorded contaminants, fungi (41%), mites (37%) and insects (19%) were most common. This dataset provides insight into the suite of taxa transported along the plant import pathway and provides an important resource for analyses of contaminant organisms in international trade, which can inform strategies for risk assessment, pathway management and biosecurity protocols.


2021 ◽  
pp. 008124632110201
Author(s):  
Zamafiso Nombulelo Sibande ◽  
Rizwana Roomaney

Fatigue is a common, secondary symptom of endometriosis that has not been qualitatively explored. We conducted individual, face-to-face interviews with 25 women in South Africa about their experiences of endometriosis-related fatigue. Participants were recruited at a public hospital in Cape Town and through several South African endometriosis organizations. Interviews were conducted in English and Afrikaans and ranged from 30 min to 1 hr 16 min in duration. All interviews were audio recorded and transcribed. Interviews were analyzed using thematic analysis. We found that both the experience of fatigue and fatigue-management strategies were highly personalized. Participants reported using a variety of cognitive strategies, such as planning, pacing, and pushing through their fatigue to reduce the levels of fatigue. Participants also employed physical strategies such as rest, dietary changes, using supplements, and exercise. We found that while participants often tried fatigue-management strategies suggested to them by others, they struggled to maintain these strategies even when they were successful. There are currently no interventions aimed at reducing endometriosis-related fatigue. The findings of this study provide insight into the management of fatigue in women with endometriosis and may be used to develop a psychosocial intervention for fatigue among women with the disease.


Author(s):  
Marianna Fenzi ◽  
Paul Rogé ◽  
Angel Cruz-Estrada ◽  
John Tuxill ◽  
Devra Jarvis

AbstractLocal seed systems remain the fundamental source of seeds for many crops in developing countries. Climate resilience for small holder farmers continues to depend largely on locally available seeds of traditional crop varieties. High rainfall events can have as significant an impact on crop production as increased temperatures and drought. This article analyzes the dynamics of maize diversity over 3 years in a farming community of Yucatán state, Mexico, where elevated levels of precipitation forced farmers in 2012 to reduce maize diversity in their plots. We study how farmers maintained their agroecosystem resilience through seed networks, examining the drivers influencing maize diversity and seed provisioning in the year preceding and following the 2012 climatic disturbance (2011–2013). We found that, under these challenging circumstances, farmers focused their efforts on their most reliable landraces, disregarding hybrids. We show that farmers were able to recover and restore the diversity usually cultivated in the community in the year following the critical climate event. The maize dynamic assessed in this study demonstrates the importance of community level conservation of crop diversity. Understanding farmer management strategies of agrobiodiversity, especially during a challenging climatic period, is necessary to promote a more tailored response to climate change in traditional farming systems.


2010 ◽  
Vol 50 (4) ◽  
pp. 246 ◽  
Author(s):  
R. G. Chataway ◽  
R. G. Walker ◽  
M. N. Callow

Farmlets, each of 20 cows, were established to field test five milk production systems and provide a learning platform for farmers and researchers in a subtropical environment. The systems were developed through desktop modelling and industry consultation in response to the need for substantial increases in farm milk production following deregulation of the industry. Four of the systems were based on grazing and the continued use of existing farmland resource bases, whereas the fifth comprised a feedlot and associated forage base developed as a greenfield site. The field evaluation was conducted over 4 years under more adverse environmental conditions than anticipated with below average rainfall and restrictions on irrigation. For the grazed systems, mean annual milk yield per cow ranged from 6330 kg/year (1.9 cows/ha) for a herd based on rain-grown tropical pastures to 7617 kg/year (3.0 cows/ha) where animals were based on temperate and tropical irrigated forages. For the feedlot herd, production of 9460 kg/cow.year (4.3 cows/ha of forage base) was achieved. For all herds, the level of production achieved required annual inputs of concentrates of ~3 t DM/animal and purchased conserved fodder from 0.3 to 1.5 t DM/animal. This level of supplementary feeding made a major contribution to total farm nutrient inputs, contributing 50% or more of the nitrogen, phosphorus and potassium entering the farming system, and presents challenges to the management of manure and urine that results from the higher stocking rates enabled. Mean annual milk production for the five systems ranged from 88 to 105% of that predicted by the desktop modelling. This level of agreement for the grazed systems was achieved with minimal overall change in predicted feed inputs; however, the feedlot system required a substantial increase in inputs over those predicted. Reproductive performance for all systems was poorer than anticipated, particularly over the summer mating period. We conclude that the desktop model, developed as a rapid response to assist farmers modify their current farming systems, provided a reasonable prediction of inputs required and milk production. Further model development would need to consider more closely climate variability, the limitations summer temperatures place on reproductive success and the feed requirements of feedlot herds.


PLoS ONE ◽  
2017 ◽  
Vol 12 (3) ◽  
pp. e0174554 ◽  
Author(s):  
Lourens H. Swanepoel ◽  
Corrie M. Swanepoel ◽  
Peter R. Brown ◽  
Seth J. Eiseb ◽  
Steven M. Goodman ◽  
...  

Sign in / Sign up

Export Citation Format

Share Document