Crop Updates 2000 Cereals - part 3

This session covers eighteen papers from different authors: BARLEY AND OAT AGRONOMY 1. Unicorn barley must meet malting specifications to be a viable option, Roslyn Jettnerand Blakely Paynter, Agriculture Western Australia 2. Optimum oat seed rates, Glenn McDonald, Agriculture Western Australia 3. Production and Quality of export Oaten Hay (1998 and 1989), Pierre Fievez, Pierre Fievez and Associates FROST 4. Climatology of Frost in Southern Western Australia, Ian Foster, Agriculture Western Australia 5. Flowering calculator, David Tennant, Agriculture Western Australia 6. Some options for managing the risk of frost damage, Wal Anderson, Agriculture Western Australia PASTURE 7. TIMERITE® Control of redlegged earth mite in south western Australia with a spring spray to pastures, James Ridsdill-Smith and Celia Pavri, CSIRO Entomology, University of Western Australia 8. The pattern of seed softening in subterranean clover in relation to presicted false break risk, Ross Chapman and Senthold Asseng, CSIRO Plant Industry, Centre for Mediterranean Agricultural Research 9. Charano serradella – a viable option for 1:1 cropping, Steve Carr and Brad Nutt IAMA Agri-Services Western Australia and Centre for Legumes in Mediterranean Agriculture, University of Western Australia 10. Alfalfa mosaic virus in alternative annual pasture and forage legumes, Lindrea Latham and Roger Jones, Crop Improvement Institute, Agriculture Western Australia and Centre for Legumes in Mediterranean Agriculture, University of Western Australia 11. Pasture mixture performs better than single-species-based pasture – 1999, Anyou Liu, Clinton Revell and David Ferris, Centre for Cropping Systems, Agriculture Western Australia 12. Better pasture management improves performance of following crops – 1999, Anyou Liu, Clinton Revell and David Ferris, Centre for Cropping Systems, Agriculture Western Australia 13. Lucerne Benefits Crop Production, Roy Latta1, Lisa-Jane Blacklow2, Chris Matthews1 1Agriculture Western Australia 2University of Western Australia 14. Does size count? Determining optimum release number of red apion for biocontrol of doublegee, Tim Woodburn and Paul Yeoh, CSIRO Entomology/CRC Weed Management Systems, Perth 15. Herbicide tolerance of some new cultivars of annual pasture legumes, Clinton Revell and Ian Rose, Centre for Cropping Systems, Agriculture Western Australia 16. Lucerne – crop rotations in the Esperance region, Anita Lyons, Roy Latta and Chris Matthews,Agriculture Western Australia PRECISION AGRICULTURE 17. Assessing the results of on-farm experiments using yield monitors, Simon Cook and Matthew Adams, CSIRO Land and Water 18. Achiever: A GIS based achievable yield and fertiliser recommendation system for precision agriculture, Robert J. Corner, Matthew L. Adams, Precision Agriculture Research Group CSIRO Land and Wate

Predicting religion

This article examines arguments and research that claims that much current practice and theory of RE is not critical. A review of aspects of RE including; Ofsted reports, recent research, analysis of text books, exam papers and pedagogies is used to assess the claim that current RE teaching does not support a critical engagement with religion. Throughout the article the teaching of Islam in RE is used to illustrate and discuss these points. It finds that criticality in some areas of RE is absent or limited but that in key areas criticality is evident if not always deeply embedded. It considers the possible contribution of questions taken from sociology, especially around the notion of engagement and prediction that would embed a critical approach to the study of religion in RE

An update to the HIV-TRePS system: The development of new computational models that do not require a genotype to predict HIV treatment outcomes

Objectives: The optimal individualized selection of antiretroviral drugs in resource-limited settings is challenging because of the limited availability of drugs and genotyping. Here we describe the development of the latest computational models to predict the response to combination antiretroviral therapy without a genotype, for potential use in such settings. Methods: Random forest models were trained to predict the probability of a virological response to therapy (<50 copies HIV RNA/mL) following virological failure using the following data from 22 567 treatment-change episodes including 1090 from southern Africa: baseline viral load and CD4 cell count, treatment history, drugs in the new regimen, time to follow-up and follow-up viral load. The models were assessed during cross-validation and with an independent global test set of 1000 cases including 100 from southern Africa. The models' accuracy [area under the receiver-operating characteristic curve (AUC)] was evaluated and compared with genotyping using rules-based interpretation systems for those cases with genotypes available. Results: The models achieved AUCs of 0.79-0.84 (mean 0.82) during cross-validation, 0.80 with the global test set and 0.78 with the southern African subset. The AUCs were significantly lower (0.56-0.57) for genotyping. Conclusions: The models predicted virological response to HIV therapy without a genotype as accurately as previous models that included a genotype. They were accurate for cases from southern Africa and significantly more accurate than genotyping. These models will be accessible via the online treatment support tool HIV-TRePS and have the potential to help optimize antiretroviral therapy in resource-limited settings where genotyping is not generally available. © The Author 2013. Published by Oxford University Press on behalf of the British Society for Antimicrobial Chemotherapy. All rights reserved