105 research outputs found

    Crop updates 2006 - Farming Systems

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    This session covers nineteen papers from different authors: SOIL AND NUTRIENT MANAGEMENT 1. Invetigatingfertilitigating fertilier inve$tment, Wayne Pluske, Nutrient Management Systems 2. KASM, the potassium in Agricultural System Model,Bill Bowden and Craig Scanlan, DAWA Northam and UWA, School of Earth and Geographical Sciences 3. Long term productivity and economic benefits of subsurface acidity management from surface and subsurface liming, Stephen Davies, Chris Gazey and Peter Tozer, Department of Agriculture 4. Furrow and ridges to prevent waterlogging, Dr Derk Bakker, Department of Agriculture 5. Nitrous oxide emissions from a cropped soil in Western Australia, Louise Barton1, David Gatter2, Renee Buck1, Daniel Murphy1, Christoph Hinz1and Bill Porter2 1School of Earth and Geographical Sciences, The University of Western Australia, 2Department of Agriculture GROWER DECISIONS 6. Managing the unmanageable, Bill Bowden Department of Agriculture 7. Review of climate model summaries reported in Department of Agriculture’s Season Outlook, Meredith Fairbanks, Department of Agriculture 8. Mapping the frost risk in Western Australia, Nicolyn Short and Ian Foster, Department of Agriculture 9. .35 kg/ha.day and other myths, James Fisher, Doug Abrecht and Mario D’Antuono, Department of Agriculture 10. Gaining with growers – Lessons from a successful alliance of WA Grower Groups, Tracey M. Gianatti, Grower Group Alliance 11. WA Agribusiness Trial Network Roundup – 2005, Paul Carmody, Local Farmer Group Network, UWA 12. Drivers of no-till adoption, Frank D’Emdenabc, Rick Llewellynabdand Michael Burtonb,aCRC Australian Weed Management; bSchool of Agricultural and Resource Economics, UWA. cDepartment of Agriculture, dCSIRO Sustainable Ecosystems, Adelaide PRODUCTION SYSTEMS, PRECISION AGRICULTURE AND SUSTAINABILITY 13. Maintaining wheat and lupin yields using phase pastures and shielded sprayers to manage increasing herbicide resistance, Caroline Peek, Nadine Eva, Chris Carter and Megan Abrahams, Department of Agriculture 14. Analaysis of a wheat-pasture rotation in the 330mm annual rainfall zone using the STEP model, Andrew Blake and Caroline Peek, Department of Agriculture 15. Response to winter drought by wheat on shallow soil with low seeding rate and wide row spacing, Paul Blackwell1, Sylvain Pottier2and Bill Bowden1 1 Department of Agriculture; 2Esitpa (France) 16. How much yield variation do you need to justify zoning inputs? Michael Robertson and Greg Lyle, CSIRO Floreat, Bill Bowden, Department of Agriculture; Lisa Brennan, CSIRO Brisbane 17. Automatic guidance and wheat row position: On-row versus between-row seeding at various rates of banded P fertilisers, Tony J. Vyn1, Simon Teakle2, Peter Norris3and Paul Blackwell4,1Purdue University, USA; 2Landmark; 3Agronomy for Profit; 4 Department of Agriculture 18. Assessing the sustainability of high production systems (Avon Agricultural Systems Project), Jeff Russell and James Fisher, Department of Agriculture, Roy Murray-Prior and Deb Pritchard, Muresk Institute; Mike Collins, ex WANTFA, 19. The application of precision agriculture techniques to assess the effectiveness of raised beds on saline land in WA, Derk Bakker, Greg Hamilton, Rob Hetherington, Andrew Van Burgel and Cliff Spann, Department of Agricultur

    Localization of type 1 diabetes susceptibility to the MHC class I genes HLA-B and HLA-A

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    The major histocompatibility complex (MHC) on chromosome 6 is associated with susceptibility to more common diseases than any other region of the human genome, including almost all disorders classified as autoimmune. In type 1 diabetes the major genetic susceptibility determinants have been mapped to the MHC class II genes HLA-DQB1 and HLA-DRB1 (refs 1-3), but these genes cannot completely explain the association between type 1 diabetes and the MHC region. Owing to the region's extreme gene density, the multiplicity of disease-associated alleles, strong associations between alleles, limited genotyping capability, and inadequate statistical approaches and sample sizes, which, and how many, loci within the MHC determine susceptibility remains unclear. Here, in several large type 1 diabetes data sets, we analyse a combined total of 1,729 polymorphisms, and apply statistical methods - recursive partitioning and regression - to pinpoint disease susceptibility to the MHC class I genes HLA-B and HLA-A (risk ratios >1.5; Pcombined = 2.01 × 10-19 and 2.35 × 10-13, respectively) in addition to the established associations of the MHC class II genes. Other loci with smaller and/or rarer effects might also be involved, but to find these, future searches must take into account both the HLA class II and class I genes and use even larger samples. Taken together with previous studies, we conclude that MHC-class-I-mediated events, principally involving HLA-B*39, contribute to the aetiology of type 1 diabetes. ©2007 Nature Publishing Group

    Ten-year mortality, disease progression, and treatment-related side effects in men with localised prostate cancer from the ProtecT randomised controlled trial according to treatment received

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    Background The ProtecT trial reported intention-to-treat analysis of men with localised prostate cancer randomly allocated to active monitoring (AM), radical prostatectomy, and external beam radiotherapy. Objective To report outcomes according to treatment received in men in randomised and treatment choice cohorts. Design, setting, and participants This study focuses on secondary care. Men with clinically localised prostate cancer at one of nine UK centres were invited to participate in the treatment trial comparing AM, radical prostatectomy, and radiotherapy. Intervention Two cohorts included 1643 men who agreed to be randomised and 997 who declined randomisation and chose treatment. Outcome measurements and statistical analysis Analysis was carried out to assess mortality, metastasis and progression and health-related quality of life impacts on urinary, bowel, and sexual function using patient-reported outcome measures. Analysis was based on comparisons between groups defined by treatment received for both randomised and treatment choice cohorts in turn, with pooled estimates of intervention effect obtained using meta-analysis. Differences were estimated with adjustment for known prognostic factors using propensity scores. Results and limitations According to treatment received, more men receiving AM died of PCa (AM 1.85%, surgery 0.67%, radiotherapy 0.73%), whilst this difference remained consistent with chance in the randomised cohort (p = 0.08); stronger evidence was found in the exploratory analyses (randomised plus choice cohort) when AM was compared with the combined radical treatment group (p = 0.003). There was also strong evidence that metastasis (AM 5.6%, surgery 2.4%, radiotherapy 2.7%) and disease progression (AM 20.35%, surgery 5.87%, radiotherapy 6.62%) were more common in the AM group. Compared with AM, there were higher risks of sexual dysfunction (95% at 6 mo) and urinary incontinence (55% at 6 mo) after surgery, and of sexual dysfunction (88% at 6 mo) and bowel dysfunction (5% at 6 mo) after radiotherapy. The key limitations are the potential for bias when comparing groups defined by treatment received and changes in the protocol for AM during the lengthy follow-up required in trials of screen-detected PCa. Conclusions Analyses according to treatment received showed increased rates of disease-related events and lower rates of patient-reported harms in men managed by AM compared with men managed by radical treatment, and stronger evidence of greater PCa mortality in the AM group. Patient summary More than 95 out of every 100 men with low or intermediate risk localised prostate cancer do not die of prostate cancer within 10 yr, irrespective of whether treatment is by means of monitoring, surgery, or radiotherapy. Side effects on sexual and bladder function are better after active monitoring, but the risks of spreading of prostate cancer are more common

    Finishing the euchromatic sequence of the human genome

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    The sequence of the human genome encodes the genetic instructions for human physiology, as well as rich information about human evolution. In 2001, the International Human Genome Sequencing Consortium reported a draft sequence of the euchromatic portion of the human genome. Since then, the international collaboration has worked to convert this draft into a genome sequence with high accuracy and nearly complete coverage. Here, we report the result of this finishing process. The current genome sequence (Build 35) contains 2.85 billion nucleotides interrupted by only 341 gaps. It covers ∼99% of the euchromatic genome and is accurate to an error rate of ∼1 event per 100,000 bases. Many of the remaining euchromatic gaps are associated with segmental duplications and will require focused work with new methods. The near-complete sequence, the first for a vertebrate, greatly improves the precision of biological analyses of the human genome including studies of gene number, birth and death. Notably, the human enome seems to encode only 20,000-25,000 protein-coding genes. The genome sequence reported here should serve as a firm foundation for biomedical research in the decades ahead

    Achieving the "triple aim" for inborn errors of metabolism: a review of challenges to outcomes research and presentation of a new practice-based evidence framework

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    Across all areas of health care, decision makers are in pursuit of what Berwick and colleagues have called the “triple aim”: improving patient experiences with care, improving health outcomes, and managing health system impacts. This is challenging in a rare disease context, as exemplified by inborn errors of metabolism. There is a need for evaluative outcomes research to support effective and appropriate care for inborn errors of metabolism. We suggest that such research should consider interventions at both the level of the health system (e.g., early detection through newborn screening, programs to provide access to treatments) and the level of individual patient care (e.g., orphan drugs, medical foods). We have developed a practice- based evidence framework to guide outcomes research for inborn errors of metabolism. Focusing on outcomes across the triple aim, this framework integrates three priority themes: tailoring care in the context of clinical heterogeneity; a shift from “urgent care” to “opportunity for improvement”; and the need to evaluate the comparative effectiveness of emerging and established therapies. Guided by the framework, a new Canadian research network has been established to generate knowledge that will inform the design and delivery of health services for patients with inborn errors of metabolism and other rare diseases.This work was supported by a CIHR Emerging Team Grant (“Emerging team in rare diseases: acheiving the ‘triple aim’ for inborn errors of metabolism,” B.K. Potter, P. Chakraborty, and colleagues, 2012– 2017, grant no. TR3–119195). Current investigators and collaborators in the Canadian Inherited Metabolic Diseases Research Network are: B.K. Potter, P. Chakraborty, J. Kronick, D. Coyle, K. Wilson, M. Brownell, R. Casey, A. Chan, S. Dyack, L. Dodds, A. Feigenbaum, D. Fell, M. Geraghty, C. Greenberg, S. Grosse, A. Guttmann, A. Khan, J. Little, B. Maranda, J. MacKenzie, A. Mhanni, F. Miller, G. Mitchell, J. Mitchell, M. Nakhla, M. Potter, C. Prasad, K. Siriwardena, K.N. Speechley, S. Stocker, L. Turner, H. Vallance, and B.J. Wilson. Members of our external advisory board are D. Bidulka, T. Caulfield, J.T.R. Clarke, C. Doiron, K. El Emam, J. Evans, A. Kemper, W. McCormack, and A. Stephenson Julian. J. Little is supported by a Canada Research Chair in Human Genome Epidemiology. K. Wilson is supported by a Canada Research Chair in Public Health Policy
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