Crop Updates 2002 - Cereals

This session covers thirty one papers from different authors: VARIETIES AND BREEDING 1. Agronomic evaluation of wheat and barley in the central wheatbelt of Western Australia, Peter Burgess1and Gary Fawell2, 1Agritech and 2Farmanco Management 2. Evaluating stress tolerance to terminal drought by Western Australian wheats, Dean Diepeveen and Dr Tim Setter, Department of Agriculture 3. Broadscale wheat variety comparisons featuring Wyalkatchem, Jeff Russell, Department of Agriculture 4. Australian crop accreditation system variety selector, Tony Seymour, Australian Crop Accreditation System 5. Future wheat varieties, Robin Wilson, Iain Barclay,Robyn McLean, Robert Loughman, Jenny Garlinge, Bill Lambe, Neil Venn and Peter Clarke, Department of Agriculture AGRONOMY 6. Beware of wheat variety interactions with row spacing and seed rate, Mohammad Amjad and Wal Anderson, Department of Agriculture 7. Yield and falling numbers of wheat varieties on the South Coast, Mohammad Amjad and Wal Anderson, Department of Agriculture 8. Maximising wheat variety performance through agronomic management, Wal Anderson, Raffaele Del Cima, James Bee, Darshan Sharma, Sheena Lyon, Melaine Kupsch, Mohammad Amjad, Pam Burgess, Veronika Reck, Brenda Shackley, Ray Tugwell, BindiWebb and Steve Penny Jr, Department of Agriculture 9. High impact of soil type and seasonal rainfall on optimum wheat seed rate , Raffaele Del Cima and Wal Anderson Department of Agriculture 10. 101 seasons in one day: Using the ‘WA Wheat’ database to predict wheat yield, James Fisher1, Bill Bowden1, Craig Scanlan1, Senthold Asseng2and Michael Robertson2 1Department of Agriculture, 2CSIRO 11. Economics of improving compact soils, M.A. Hamza1, G. McConnell2and W.K. Anderson1, 1Department of Agriculture, 2Planfarm 12. Reducing the risks in producing durum wheat in Western Australia, Md Shahajahan Miyan and Wal Anderson, Department of Agriculture 13. Taking the Why out of Wyalkatchem – the new widely adopted wheat variety, Steve Penny, Department of Agriculture 14. Influence of nutrition and environmental factors on seed vigour in wheat, Darshan Sharma, Wal Anderson and Daya Patabendige, Department of Agriculture NUTRITION 15. N and K are important for oat yield and quality, Patrick Gethin, Stephen Loss, Tim O’Dea, Ryan Guthrie and Lisa Leaver, CSBP Futurefarm 16. Effects of nitrogen and phosphorus on the grain yield and quality of noodle wheat, Tyrone Henning1, Lionel Martin1and Wal Anderson2 1Muresk Institute of Agriculture, 2Department of Agriculture 17. Assessment of a high input fertiliser regime on the yield and quality of Gairdner barley, Narelle Hill1, Simon Wallwork2and Laurence Carslake2 1Department of Agriculture, 2Wesfarmers Landmark 18. The use of Flexi-N to achieve high yielding, high protein wheat, Darren Hughes1, Lionel Martin1, Wal Anderson2and Stephen Loss3 1Muresk Institute of Agriculture, 2Department of Agriculture, 3CSBP Futurefarm 19. Are liquid phosphorus fertilisers more efficient than solid fertilisers in Western Australia?Stephen Loss, Lisa Leaver, Ryan Guthrie, Patrick Gethin and Tim O’Dea, CSBP Futurefarm 20. Oats respond to phosphorus and potassium, Glenn McDonald, Department of Agriculture PESTS AND DISEASES 21. Cereal disease diagnostics and rust monitoring, Nichole Burges and Dominie Wright, Department of Agriculture 22. Distribution and incidence of aphids and barley yellow dwarf virus in over-summering grasses in the Western Australian wheatbelt, Jenny Hawkes and Roger Jones, Centre for Legumes in Mediterranean Agriculture and Department of Agriculture 23. Spring sprays for powdery mildew control in cereals, Kith Jayasena1, Kazue Tanaka1, Vanessa Johnson1, Robert Loughman1and Josh Jury2 1Department of Agriculture, 2Wesfarmers Landmark 24. Impact of root lesion nematodes on wheat and triticale in Western Australia, Sean Kelly and Shashi Sharma, Department of Agriculture 25. Cropping options for the management of root lesion nematodes in Western Australia, Sean Kelly, Shashi Sharma and Robert Loughman, Department of Agriculture 26. Cereal rust update 2002 – new stem rust on Camm wheat, Robert Loughman1and Robert Park2 1Department of Agriculture, 2University of Sydney 27. Cereal aphids and direct feeding damage to cereals, Phil Michael, Department of Agriculture 28. A decision support system for control of aphids and BYDV in cereal crops, Debbie Thackray, Jenny Hawkes and Roger Jones, Department of Agriculture and Centre for Legumes in Mediterranean Agriculture STORAGE 29. Aeration – opportunity for profit, Christopher Newman, Department of Agriculture CLIMATE 30. Financial impact of frost on the Western Australian grains industry, Garren Knell and Kim Povey, ConsultAg 31. Summary of 2001 weather and seasonal prospects for 2002, David Stephens, Department of Agricultur

Classification of Camellia (Theaceae) Species Using Leaf Architecture Variations and Pattern Recognition Techniques

Leaf characters have been successfully utilized to classify Camellia (Theaceae) species; however, leaf characters combined with supervised pattern recognition techniques have not been previously explored. We present results of using leaf morphological and venation characters of 93 species from five sections of genus Camellia to assess the effectiveness of several supervised pattern recognition techniques for classifications and compare their accuracy. Clustering approach, Learning Vector Quantization neural network (LVQ-ANN), Dynamic Architecture for Artificial Neural Networks (DAN2), and C-support vector machines (SVM) are used to discriminate 93 species from five sections of genus Camellia (11 in sect. Furfuracea, 16 in sect. Paracamellia, 12 in sect. Tuberculata, 34 in sect. Camellia, and 20 in sect. Theopsis). DAN2 and SVM show excellent classification results for genus Camellia with DAN2's accuracy of 97.92% and 91.11% for training and testing data sets respectively. The RBF-SVM results of 97.92% and 97.78% for training and testing offer the best classification accuracy. A hierarchical dendrogram based on leaf architecture data has confirmed the morphological classification of the five sections as previously proposed. The overall results suggest that leaf architecture-based data analysis using supervised pattern recognition techniques, especially DAN2 and SVM discrimination methods, is excellent for identification of Camellia species

Advancing the Use of Passive Sampling in Risk Assessment and Management of Sediments Contaminated with Hydrophobic Organic Chemicals: Results of an International Ex Situ Passive Sampling Interlaboratory Comparison Michiel T. O. Jonker*† , Stephan A. van der He

This work presents the results of an international interlaboratory comparison on ex situ passive sampling in sediments. The main objectives were to map the state of the science in passively sampling sediments, identify sources of variability, provide recommendations and practical guidance for standardized passive sampling, and advance the use of passive sampling in regulatory decision making by increasing confidence in the use of the technique. The study was performed by a consortium of 11 laboratories and included experiments with 14 passive sampling formats on 3 sediments for 25 target chemicals (PAHs and PCBs). The resulting overall interlaboratory variability was large (a factor of ∼10), but standardization of methods halved this variability. The remaining variability was primarily due to factors not related to passive sampling itself, i.e., sediment heterogeneity and analytical chemistry. Excluding the latter source of variability, by performing all analyses in one laboratory, showed that passive sampling results can have a high precision and a very low intermethod variability (Advancing the Use of Passive Sampling in Risk Assessment and Management of Sediments Contaminated with Hydrophobic Organic Chemicals: Results of an International Ex Situ Passive Sampling Interlaboratory Comparison Michiel T. O. Jonker*† , Stephan A. van der HepublishedVersio

Identifying object categories from event-related EEG: Toward decoding of conceptual representations

Contains fulltext : 99404.pdf (publisher's version ) (Open Access)Multivariate pattern analysis is a technique that allows the decoding of conceptual information such as the semantic category of a perceived object from neuroimaging data. Impressive single-trial classification results have been reported in studies that used fMRI. Here, we investigate the possibility to identify conceptual representations from event-related EEG based on the presentation of an object in different modalities: its spoken name, its visual representation and its written name. We used Bayesian logistic regression with a multivariate Laplace prior for classification. Marked differences in classification performance were observed for the tested modalities. Highest accuracies (89% correctly classified trials) were attained when classifying object drawings. In auditory and orthographical modalities, results were lower though still significant for some subjects. The employed classification method allowed for a precise temporal localization of the features that contributed to the performance of the classifier for three modalities. These findings could help to further understand the mechanisms underlying conceptual representations. The study also provides a first step towards the use of concept decoding in the context of real-time brain-computer interface applications.12 p

Latin America’s new regional architecture : a cooperative or segmented regional governance complex?

In Latin America the repercussions of the proliferation and overlapping of regional organizations are discussed widely. This article examines the opposing views on this process. Some authors postulate that an exhaustion of integration in Latin America will end up in segmented regionalism and hemispheric disintegration. Others endorse a variable geometry of integration that facilitates intraregional cooperation and minimizes the risk of veto players and zero-sum politics. The article takes Latin America as a vantage point to analyse the topic of interacting and overlapping regional organizations from a more general perspective. It asks about the conditions under which the proliferation and overlapping of regional organizations might have positive or negative effects (on regional integration and cooperation). Additionally, it advocates broadening the analytical focus and replacing the analytical concepts of regional integration and cooperation with the analytical concept of regional governance. Regional governance more adequately captures and integrates different patterns of regional cooperation and different regional projects that result in overlapping regional organizations. Instead of looking at the proliferation of regional organizations from a perspective of fragmentation, this article contends that the focus should be redirected to analysing how different regional organizations interact. Regional interaction patterns can vary between synergistic, cooperative, conflictive, or segmented regional governance (complexes). In an initial application of this analytical scheme, the article summarizes the changing regional cooperation patterns in South America since 1990. In the conclusions it outlines some preliminary ideas for a future research agenda on regional governance (complexes)