Letteratura scientifica selezionata sul tema "Wheat South Australia Quality Testing"
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Articoli di riviste sul tema "Wheat South Australia Quality Testing"
1
Vernin, Jean, Abdelkrim Agabi, Eric Aristidi, Max Azouit, Merieme Chadid, Eric Fossat, Tatiana Sadibekova, Hervé Trinquet e Aziz Ziad. "Site testing at Dome C: history and present status". Proceedings of the International Astronomical Union 2, n. 14 (agosto 2006): 693–94. http://dx.doi.org/10.1017/s1743921307012288.
Testo completoAbstract (sommario):
The idea of starting an astronomical site testing in Antarctica began during a congress organized by French Académie des Sciences, in 1992, and entitled ‘Recherches polaires-Une Stratégie pour l'an 2000’. At this time, one of us (Vernin 1994) gave a proposal for an astronomical site testing in Antarctica. This proposal was rapidly followed by a meeting between Al Harper (from ‘Center for Astrophysical Research in Antarctica’, Chicago), Peter Gillingham (from the Anglo Australian Observatory, Australia) and Jean Vernin (from Nice University) at Lake Geneva, Wisconsin, in 1993. It was decided to investigate what was the astronomical quality of South Pole station, each institute bringing its own participation: CARA, the South Pole infrastructure, University of New South Wales, a PhD student and Nice University its expertise and instruments.
2
Archer, MJ, e L. O'Brien. "A comparative study of the quality status of Condor Wheat grown in Northern Victoria and Southern New South Wales". Australian Journal of Agricultural Research 38, n. 3 (1987): 465. http://dx.doi.org/10.1071/ar9870465.
Testo completoAbstract (sommario):
Australian Wheat Board quality advisers had formed the opinion that Condor wheat (Trificum aestivum L.) grown in north-west Victoria possessed weaker dough properties than that grown in southern New South Wales, even at similar grain protein contents. Samples of commercially grown Condor wheat from north-west Victoria and southern New South Wales were collected by Australian Wheat Board field officers to objectively investigate this observation. Testing of these samples indicated Condor grown in north-west Victoria to have significantly weaker dough properties than that grown in southern New South Wales. Doughs were less tolerant to mixing in the farinograph and had reduced extensograph maximum resistance, even when there was no difference in protein content between the samples from the two regions. The reduced dough strength in the Victorian samples was associated with lower nitrogen: sulfur ratios and residue protein content and fewer rheologically important disuifide groups per 50 g of flour. These differences were presumed to have resulted from some aspect of the environment during plant growth and development.
3
Tirimacco, Rosy, Briony Glastonbury, Caroline O. Laurence, Tanya K. Bubner, Mark D. Shephard e Justin J. Beilby. "Development of an accreditation program for Point of Care Testing (PoCT) in general practice". Australian Health Review 35, n. 2 (2011): 230. http://dx.doi.org/10.1071/ah09792.
Testo completoAbstract (sommario):
Objectives. To describe the development and evaluation of an accreditation program for Point of Care Testing (PoCT) in general practice, which was part of the PoCT in general practice (GP) Trial conducted in 2005–07 and funded by the Australian Government. Setting and participants. Thirty general practices based in urban, rural and remote locations across South Australia, New South Wales and Victoria, which were in the intervention arm of the PoCT Trial were part of the accreditation program. A PoCT accreditation working party was established to develop an appropriate accreditation program for PoCT in GP. A multidisciplinary accreditation team was formed consisting of a medical scientist, a general practitioner or practice manager, and a trial team representative. Methodology and sequence of events. To enable practices to prepare for accreditation a checklist was developed describing details of the accreditation visit. A guide for surveyors was also developed to assist with accreditation visits. Descriptive analysis of the results of the accreditation process was undertaken. Outcomes. Evaluation of the accreditation model found that both the surveyors and practice staff found the process straightforward and clear. All practices (i.e. 100%) achieved second-round accreditation. Discussion and lessons learned. The accreditation process highlighted the importance of ongoing education and support for practices performing PoCT. What is known about the topic? Currently there is no rebate for Point of Care testing in Australia. Before the Australian Government can consider a rebate it has to be shown that PoCT is safe for patient care. Implementation of a quality framework and an accreditation model for PoCT is vital to ensure that clinical care is not compromised by use of this technology. What does this paper add? This paper provides a model for PoCT accreditation that meets requirements of both the GP and scientific community. It reports on the first government-funded PoCT in general practice trial and illustrates what needs to be considered if the Government decides to fund PoCT in general practice. What are the implications for practitioners? Description of a PoCT accreditation process highlights to practitioners what is entailed in following the interim standards for PoCT currently available. This study is an important piece of work as it shows that PoCT in general practice can be performed safely within a quality framework that meets scientific accreditation requirements.
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Sissons, Mike, Ben Ovenden, Dante Adorada e Andrew Milgate. "Durum wheat quality in high-input irrigation systems in south-eastern Australia". Crop and Pasture Science 65, n. 5 (2014): 411. http://dx.doi.org/10.1071/cp13431.
Testo completoAbstract (sommario):
To extend the production base of durum wheat in Australia, field trials were conducted on seven registered durum varieties across four seasons and six sites in locations where irrigation was supplied during crop growth. The purpose was to determine if the quality of the grain produced met the requirements for good milling and pasta-making quality and to understand the genotype, environment and their interaction in affecting yield and technological quality of the grain and derived pasta. High grain yields and grain protein were obtained, producing large grain weights, low screenings and low percentage of hard vitreous kernels. Yellow colour of semolina and pasta was reduced marginally but dough and other pasta technological characteristics were similar to typical dryland durum production, with some exceptions. Varieties were identified with potential for production under irrigation.
5
Anwar, M. R., D. Rodriguez, D. L. Liu, S. Power e G. J. O'Leary. "Quality and potential utility of ENSO-based forecasts of spring rainfall and wheat yield in south-eastern Australia". Australian Journal of Agricultural Research 59, n. 2 (2008): 112. http://dx.doi.org/10.1071/ar07061.
Testo completoAbstract (sommario):
Reliable seasonal climate forecasts are needed to aid tactical crop management decisions in south-eastern Australia (SEA). In this study we assessed the quality of two existing forecasting systems, i.e. the five phases of the Southern Oscillation Index (SOI) and a three phase Pacific Ocean sea-surface temperatures (SSTs), to predict spring rainfall (i.e. rainfall from 1 September to 31 November), and simulated wheat yield. The quality of the forecasts was evaluated by analysing four attributes of their performance: their reliability, the relative degree of shift and dispersion of the distributions, and measure of forecast consistency or skill. Available data included 117 years of spring rainfall and 104 years of grain yield simulated using the Agricultural Production Systems Simulator (APSIM) model, from four locations in SEA. Average values of spring rainfall were 102–174 mm with a coefficient of variation (CV) of 47%. Average simulated wheat yields were highest (5609 kg/ha) in Albury (New South Wales) and lowest (1668 kg/ha) in Birchip (Victoria). The average CV for simulated grain yields was 36%. Griffith (NSW) had the highest yield variability (CV = 50%). Some of this year-to-year variation was related to the El Niño Southern Oscillation (ENSO). Spring rainfall and simulated wheat yields showed a clear association with the SOI and SST phases at the end of July. Important variations in shift and dispersion in spring rainfall and simulated wheat yields were observed across the studied locations. The forecasts showed good reliability, indicating that both forecasting systems could be used with confidence to forecast spring rainfall or wheat yield as early as the end of July. The consistency of the forecast of spring rainfall and simulated wheat yield was 60–83%. We concluded that adequate forecasts of spring rainfall and grain yield could be produced at the end of July, using both the SOI and SST phase systems. These results are discussed in relation to the potential benefit of making tactical top-dress applications of nitrogen fertilisers during early August.
6
EGLEZOS, SOFRONI. "Microbiological Quality of Wheat Grain and Flour from Two Mills in Queensland, Australia". Journal of Food Protection 73, n. 8 (1 agosto 2010): 1533–36. http://dx.doi.org/10.4315/0362-028x-73.8.1533.
Testo completoAbstract (sommario):
A baseline investigation of the microbiological quality of wheat grain and flour from two mills in Queensland, Australia, was undertaken in order to assess the capacity of these two mills to meet microbiological criteria specified by a customer for raw, non–heat-treated flour. This baseline testing was performed over the 2006 to 2007 wheat season. Three hundred fifty flour samples were monitored for yeast, mold, and Bacillus cereus, 300 for Escherichia coli, 150 for Salmonella, and 100 for aerobic plate count. Fifty grain samples were analyzed for yeast, mold, E. coli, Salmonella, and B. cereus. There was a single isolation of Salmonella Give in unscreened wheat. The yeast, mold, E. coli, and B. cereus prevalences were 56, 40, 2.0, and 4.0% for grain and 71, 17, 0.7, and <0.3% for flour, respectively. Of the positive samples, the means were 3.7, 2.7, 0.6, and 2.1 for grain, and 3.0, 2.8, and 0.8 log CFU/g for flour. The mean of the aerobic plate count was 4.2 log CFU/g with a 95th percentile count of 4.6 log CFU/g. A microbiological quality baseline of wheat grain and flour from these two Queensland mills has been determined. These data in a specific sense assist the two mills to assess their capacity to meet microbiological criteria, and in a general sense provide at least a limited snapshot of Queensland wheat and flour quality for risk assessments being carried out to evaluate the safety of plant and plant products.
7
Wrigley, CW. "Developing better strategies to improve grain quality for wheat". Australian Journal of Agricultural Research 45, n. 1 (1994): 1. http://dx.doi.org/10.1071/ar9940001.
Testo completoAbstract (sommario):
There are opportunities to improve the quality and-market value of wheat grain at all stages of production, storage and transport. An essential pre-requisite is a thorough knowledge of market requirements, both for the coming crop season and well into the future in the case of breeding programs and research planning. Elucidation of the molecular basis of grain quality is an important part of the overall strategy of quality improvement. The outcome expected from such studies will be the identification of key chemical components that can serve as markers for specific aspects of grain quality. The provision of screening tests for these marker compounds then permits intelligent quality testing at harvest, planning of genotype and environment to maximize quality, and selection of suitable genotypes at an early stage of breeding. This review describes the state of our present knowledge of grain quality at the molecular/chemical level (with particular references to dough quality for wheat), and it indicates how this knowledge can be put to practical use in better suiting wheat grain for processing requirements both in Australia and overseas.
8
Choct, M., R. J. Hughes e G. Annison. "Apparent metabolisable energy and chemical composition of Australian wheat in relation to environmental factors". Australian Journal of Agricultural Research 50, n. 4 (1999): 447. http://dx.doi.org/10.1071/a98155.
Testo completoAbstract (sommario):
A total of 81 wheats collected from New South Wales, Victoria, South Australia, Queensland, and Western Australia over 3 harvests were assayed for apparent metabolisable energy (AME) in broiler chickens. The non-starch polysaccharides (soluble and insoluble) and their individual sugar components, starch, and protein were also determined. The nutritive quality of wheat varied significantly (P < 0.01), especially at time of harvest, with approximately 40% having an average AME value <13 MJ/kg dry matter. The low-AME wheats usually caused copious quantities of watery and sticky droppings. The occurrence of low-AME wheats was associated more with climatic conditions during growth than with geographical region.
9
Williams, R. M., L. O'Brien, H. A. Eagles, V. A. Solah e V. Jayasena. "The influences of genotype, environment, and genotype×environment interaction on wheat quality". Australian Journal of Agricultural Research 59, n. 2 (2008): 95. http://dx.doi.org/10.1071/ar07185.
Testo completoAbstract (sommario):
Knowledge of the relative contributions of genotype (G), environment (E), and genotype and environment interaction (G × E) effects on wheat (Triticum aestivum L.) quality leads to more effective selection in breeding programs and segregation of more uniform parcels of grain better suited to the needs of customers. Their effects on wheat quality were reviewed using papers obtained from 4 major international databases. The literature is dominated by research from North America, with lesser contributions from Europe, Australia, and the rest of the world. Use of analysis of variance to partition sources of variation due to G, E, and G × E was the most common approach but, more recently, residual maximum likelihood methods that can accommodate large, but unbalanced, datasets have been used. In North America and Europe, the relative contributions of G, E, and G × E varied across studies, but traits associated with protein content were more influenced by E and G × E than those associated with protein quality, dough rheology and starch characteristics, where G effects were more important. Variation in the relative contributions of G, E, and G × E was highly dependent on the G and E sampled. The Australian studies were characterised by a relative lack of G × E, with G and E rankings being similar across the country for the protein quality, dough rheology, and starch quality traits examined in detail. This suggests that, in Australia, more efficient testing of potential cultivars will be possible for these traits, especially when the underlying variation at the gene level is known, and that efficiencies in the design and conduct of trial systems and quality evaluations could be achieved by testing samples from targetted environments without affecting genetic gain and overall crop quality.
10
McMullen, K. G., e J. M. Virgona. "Dry matter production and grain yield from grazed wheat in southern New South Wales". Animal Production Science 49, n. 10 (2009): 769. http://dx.doi.org/10.1071/an09055.
Testo completoAbstract (sommario):
In southern New South Wales, Australia, grazing wheat during the vegetative and early reproductive growth stages (typically during winter) can provide a valuable contribution of high quality feed during a period of low pasture growth. This paper reports results from a series of experiments investigating the agronomic management of grazed wheats in southern NSW. The effect of sowing date and grazing on dry matter production and subsequent grain yield of a range of wheat cultivars was measured in five experiments in 2004 and 2005. In all experiments, results were compared with ungrazed spring wheat (cv. Diamondbird). Grain yield of the best winter cultivar was either the same or significantly greater than the spring cultivar in each of the five experiments. Within the winter wheat cultivars, there was significant variation in grain yield, protein content and screenings, depending on site and year with the cultivar Marombi out-yielding all others. Interestingly, this cultivar usually had the least dry matter post-grazing but the greatest dry matter by anthesis of the winter wheats. Generally, if sowing of the winter wheat was delayed, then the effects on yield were small or non-existent. The results are discussed with respect to the benefits of incorporating grazing cereals into cropping programs in the medium rainfall zone of southern Australia.
Tesi sul tema "Wheat South Australia Quality Testing"
1
Moussavi-Nik, Mohsen. "Seed quality and crop establishment in wheat". Title page, contents and abstract only, 1997. http://web4.library.adelaide.edu.au/theses/09PH/09phm933.pdf.
Testo completoAbstract (sommario):
Bibliography: leaves 247-268. A series of laboratory, greenhouse and field experiments were conducted to investigate aspects of seed quality in a range of bread wheat genotypes important in South Australia as well as a durum cultivar, Yallaroi. It was concluded that sound healthy seed does vary in quality and this affects seedling vigour, crop establishment and grain yield. Seed source can affect genotype performance in evaluation trials. There is genetic variability for embryo size, coleoptile length, nutrient efficiency and nutrient loading in to the seed which can be exploited by breeders. Agronomically, seed quality can be improved by managing seed crops to aid accumulation of mineral nutrients in the seed and then selecting, by grading, only large seed for sowing.
2
Tonkin, Rebecca Elizabeth. "The influence of seeding density and environmental factors on grain quality of main stems and tillers of wheat in South Australia (with special reference to prime hard quality wheat) : a thesis submitted for the degree of Doctor of Philosophy, School of Earth and Environmental Sciences, University of Adelaide /". Title page, table of contents and abstract only, 2004. http://web4.library.adelaide.edu.au/theses/09PH/09pht6654.pdf.
Testo completoAbstract (sommario):
Thesis (Ph.D.)--University of Adelaide, School of Earth and Environmental Sciences, Discipline of Soil and Land Systems, 2004."November 2004" Includes bibliographical references (leaves 182-189). Also available online.
3
Tonkin, Rebecca. "The influence of seeding density and environmental factors on grain quality of main stems and tillers of wheat in South Australia". 2004. http://hdl.handle.net/2440/37928.
Testo completoAbstract (sommario):
Prime Hard wheat, a high protein hard wheat classification of the Australian Wheat Board, has traditionally been grown in Queensland and the northern areas of New South Wales. Recently there have been moves to extend this area into the more southern regions of the wheat belt, to expand production of this grain and for greater reliability of supply. The emphasis of this thesis is on the opportunities and constraints to Prime Hard wheat production in South Australia. The environmental factors affecting wheat crops in South Australia are different to those in the traditional Prime Hard producing areas, with heat and moisture stress likely to be the most important climatic influences. Management practices such as the recent trends towards higher seeding densities could also be important (influencing main stem and tiller ratios). An experiment using controlled temperature and moisture conditions showed that main stems and tillers differed in their responses to post-anthesis heat and drought. A field experiment with moisture stress as the only treatment also showed differences in harvest parameters and grain quality between main stems and tillers. Grain produced from field plots at different plant densities showed significant differences in a number of quality measurements, the most important being 1000-grain weight and flour colour. Less screenings and higher 1000-grain weights were obtained from plots with higher seeding rates. However, flour from plots with higher seeding rates had slightly more yellow colour. When main stems and tillers from these plots were tested separately, using small-scale equipment, grain weight and flour colour also differed between main stems and tillers. Main stems produced larger grains than tillers, as expected, and tillers produced grains with yellower flour. The smaller grain size and yellower flour of the tillers is attributed to the higher degree of stress likely to be experienced by tillers, as they have later anthesis dates and are more likely to experience moisture, and/or heat stress at a critical stage of grain filling. Plants with more tillers, such as those grown in a low-density crop, have a later average anthesis date than an equivalent crop of higher seeding density, with more main stems. Therefore it is likely that increasing seeding density will give a shorter crop ripening period and a more uniform seed quality. However, care must be taken not to exceed the optimum plant population density. In conclusion, the experiments showed that tillers are more sensitive to conditions of moisture or heat stress than main stems, and that they make a measurable contribution to the quality of a wheat crop. Increasing the crop density decreased the proportion of tillers present, leading to a more uniform crop and less screenings at harvest. Increased competition in high-density crops may result in slightly more yellow flour, but dough and loaf quality were not affected.Thesis (Ph.D.)--School of Earth and Environmental Sciences, 2004.
Capitoli di libri sul tema "Wheat South Australia Quality Testing"
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Cato, Larisa, e Daniel Mullan. "Wheat quality: Wheat breeding and quality testing in Australia". In Breadmaking, 221–59. Elsevier, 2020. http://dx.doi.org/10.1016/b978-0-08-102519-2.00008-6.
Testo completoAtti di convegni sul tema "Wheat South Australia Quality Testing"
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Zhang, Hui, Jianfeng Yao, Xiang Li e Kai Zhao. "Maximising the Value of Multi-Sensor Streamer Data via MAZ Processing". In International Petroleum Technology Conference. IPTC, 2021. http://dx.doi.org/10.2523/iptc-21435-ms.
Testo completoAbstract (sommario):
Abstract The North West Shelf of Australia contains a late Paleozoic to Cenozoic sedimentary succession, which attains a thickness of over 10 km and is dominated by Triassic to Lower Cretaceous sediments. The deeper plays exist at multiple stratigraphic levels including oil-prone Jurassic sediments and faulted gas-prone Triassic sediments. The area has been proven difficult as far as seismic imaging is concerned, particularly over the Madeline trend. The presence of a hard, rugose water bottom, strong reflectors beneath the water bottom, and shallow Tertiary carbonates make the Dampier Sub-basin vulnerable to multiple contamination, amplitude distortion, lower signal-to-noise ratio (S/N) and unreliable AVO response. Poor seismic quality in the data has been a significant barrier to reducing exploration risk. In the 1990s, East Dampier (1992, blue polygon in Figure 1) and Keast (1997, yellow polygon in Figure 1) seismic data were acquired in East-West and North-South directions respectively, in an effort to better understand the impact from the shallow complex overburden. To address these challenges, the Demeter survey was acquired in 2003 (black polygon in Figure 1) with a denser acquisition grid. The overall seismic quality was improved, but the results still contained a significant level of residual multiples. Later, the Fortuna survey, the most comprehensive multi-sensor seismic survey on the North West Shelf of Australia to date, was acquired in 2014 with the aim to provide better subsurface imaging (pink polygon in Figure 1) from different acquisition perspectives. The data was processed with advanced processing technology, including shallow water demultiple, deghosting and high definition tilted orthorhombic velocity model building (Birdus et al., 2017). However, the final results were still suffering from a number of challenges, specifically: 1) strong residual multiple in near offsets, 2) low S/N ratio, particularly at reservoir level, and 3) inconsistency from near to far stack resulting in unreliable AVO. In this paper, the Dixon area (green polygon), considered as the most challenging area in the Dampier Sub-basin, was chosen as the testing area for our work. By integrating high-end imaging technology, for example dual-sensor deghosting, multi-survey surface related multiple elimination (MAZ-SRME), and multi-azimuth processing (MAZ stack), we will illustrate how we have overcome many of these imaging challenges.