Crop Updates 2001 - Oilseeds

ABSTRACT This session covers twenty five papers from different authors: FORWARD, Mervyn McDougall, CHAIRMAN, PULSES AND OILSEEDS PARTNERSHIP GROUP PLENARY 1. Implications of the ‘green-bridge’ for viral and fungal disease carry-over between seasons, Debbie Thackray, Agriculture Western Australia and Centre for Legumes in Mediterranean Agriculture 2. Insect pest development in WA via the ‘green-bridge’, Kevin Walden, Agriculture Western Australia VARIETIES 3. Performance of new canola varieties in AGWEST variety trials, G. Walton, Crop Improvement Institute, Agriculture Western Australia 4. New herbicide tolerant varieties in WA, Kevin Morthorpe, Stephen Addenbrooke, Pioneer Hi-Bred Australia P/L 5. IT v’s TT – Head to head, Paul Carmody, Centre for Cropping Systems, Agriculture Western Australia ESTABLISHMENT 6. Effect of stubble, seeding technique and seed size on crop establishment and yield of canola, Rafiul Alam, Glen Riethmuller and Greg Hamilton, Agriculture Western Australia 7. Canola establishment survey 2000, Rafiul Alam, Paul Carmody, Greg Hamilton and Adrian Cox, Agriculture Western Australia 8. Tramline farming for more canola, Paul Blackwell, Agriculture Western Australia NUTRITION 9. Comparing the phosphorus requirement of canola and wheat in WA, M.D.A. Bolland and M.J. Baker, Agriculture Western Australia 10. Will a rainy summer affect nitrogen requirement: Tailoring your fertiliser decisions using the new nitrogen calculator, A.J. Diggle, Agriculture Western Australia 11. Canola – More response to lime, Chris Gazeyand Paul Carmody, Centre for Cropping Systems, Agriculture Western Australia AGRONOMY 12. Hormone manipulation of canola development, Paul Carmody and Graham Walton, Agriculture Western Australia 13. Yield penalties with delayed sewing of canola, Imma Farre, CSIRO Plant Industry, Michael J. Robertson, CSIRO Sustainable Ecosystems, Graham H. Walton, Agriculture Western Australia, Senthold Asseng, CSIRO Plant Industry 14. Dry matter and oil accumulation in developing seeds of canola varieties at different sowing dates, Ping Si1, David Turner1 and David Harris2 , 1Plant Sciences, Faculty of Agriculture, The University of Western Australia, 2Chemistry Centre of Western Australia 13. Simulating oil concentrations in canola – virtually just the beginning, David Turner1 and Imma Farré2, 1Plant Sciences, Faculty of Agriculture, The University of Western Australia, 2CSIRO Plant Industry, Centre for Mediterranean Agricultural Research PESTS AND DISEASES 14. Further evidence that canola crops are resilient to damage by aphids, Françoise Berlandier and Christiaan Valentine, Entomology, Agriculture Western Australia 15. Management of Diamondback moth (DBM) in canola, David Cook, Peter Mangano, David Cousins, Françoise Berlandier, and Darryl Hardie, Crop Improvement Institute,Agriculture Western Australia 16. Effect of time of sowing in conjunction with fungicides on blackleg and yield of canola, Ravjit Khangura and Martin Barbetti, Agriculture Western Australia 17. Further developments in forecasting aphid and virus risk in canola, Debbie Thackray, Jenny Hawkes and Roger Jones, Agriculture Western Australia and Centre for Legumes in Mediterranean Agriculture 18. Efficiency of selected insecticides for the use on Diamondback Moth in canola, Kevin Walden, Agriculture Western Australia 19. Impact® applied ‘in furrow’ controls blackleg in canola, Cameron Weeks and Erin Hasson, Mingenew-Irwin Group Inc. 20. Effect of time of sowing and Impact® on canola yield, Esperance, Dave Eksteen, Agriculture Western Australia 21. Australian Plague Locust Campaign 2000, Kevin Walden, Agriculture Western Australia WEED CONTROL 22. New herbicide options for canola, John Moore and Paul Matson, Agriculture Western Australia HARVESTING 23. Effects of time of swathing and desiccant application on the seed yield and oil content of canola, Carla Thomas and Lionel Martin, Muresk Institute of Agriculture, Curtin University of Technology DECISION SUPPORT AND ADOPTION 24. Using canola monitoring groups to understand factors affecting canola production in Esperance, Dave Eksteen, Agriculture Western Australia 25. Nitrogen and canola, Dave Eksteen, Agriculture Western Australi

Gastrokine-1, an anti-amyloidogenic protein secreted by the stomach, regulates diet-induced obesity

Obesity and its sequelae have a major impact on human health. The stomach contributes to obesity in ways that extend beyond its role in digestion, including through effects on the microbiome. Gastrokine-1 (GKN1) is an anti-amyloidogenic protein abundantly and specifically secreted into the stomach lumen. We examined whether GKN1 plays a role in the development of obesity and regulation of the gut microbiome. Gkn1−/− mice were resistant to diet-induced obesity and hepatic steatosis (high fat diet (HFD) fat mass (g) = 10.4 ± 3.0 (WT) versus 2.9 ± 2.3 (Gkn1−/−) p < 0.005; HFD liver mass (g) = 1.3 ± 0.11 (WT) versus 1.1 ± 0.07 (Gkn1−/−) p < 0.05). Gkn1−/− mice also exhibited increased expression of the lipid-regulating hormone ANGPTL4 in the small bowel. The microbiome of Gkn1−/− mice exhibited reduced populations of microbes implicated in obesity, namely Firmicutes of the class Erysipelotrichia. Altered metabolism consistent with use of fat as an energy source was evident in Gkn1−/− mice during the sleep period. GKN1 may contribute to the effects of the stomach on the microbiome and obesity. Inhibition of GKN1 may be a means to prevent obesity

The Monarch Initiative in 2019: an integrative data and analytic platform connecting phenotypes to genotypes across species.

In biology and biomedicine, relating phenotypic outcomes with genetic variation and environmental factors remains a challenge: patient phenotypes may not match known diseases, candidate variants may be in genes that haven\u27t been characterized, research organisms may not recapitulate human or veterinary diseases, environmental factors affecting disease outcomes are unknown or undocumented, and many resources must be queried to find potentially significant phenotypic associations. The Monarch Initiative (https://monarchinitiative.org) integrates information on genes, variants, genotypes, phenotypes and diseases in a variety of species, and allows powerful ontology-based search. We develop many widely adopted ontologies that together enable sophisticated computational analysis, mechanistic discovery and diagnostics of Mendelian diseases. Our algorithms and tools are widely used to identify animal models of human disease through phenotypic similarity, for differential diagnostics and to facilitate translational research. Launched in 2015, Monarch has grown with regards to data (new organisms, more sources, better modeling); new API and standards; ontologies (new Mondo unified disease ontology, improvements to ontologies such as HPO and uPheno); user interface (a redesigned website); and community development. Monarch data, algorithms and tools are being used and extended by resources such as GA4GH and NCATS Translator, among others, to aid mechanistic discovery and diagnostics

Medical Student Attitudes toward USMLE Step 1 and Health Systems Science–A Multi-Institutional Survey

© 2020 Taylor & Francis Group, LLC. Phenomenon: Because of its importance in residency selection, the United States Medical Licensing Examination Step 1 occupies a critical position in medical education, stimulating national debate about appropriate score use, equitable selection criteria, and the goals of undergraduate medical education. Yet, student perspectives on these issues and their implications for engagement with health systems science-related curricular content are relatively underexplored. Approach: We conducted an online survey of medical students at 19 American allopathic medical schools from March-July, 2019. Survey items were designed to elicit student opinions on the Step 1 examination and the impact of the examination on their engagement with new, non-test curricular content related to health systems science. Findings: A total of 2856 students participated in the survey, representing 23.5% of those invited. While 87% of students agreed that doing well on the Step 1 exam was their top priority, 56% disagreed that studying for Step 1 had a positive impact on engagement in the medical school curriculum. Eighty-two percent of students disagreed that Step 1 scores should be the top item residency programs use to offer interviews. When asked whether Step 1 results should be reported pass/fail with no numeric score, 55% of students agreed, while 33% disagreed. The majority of medical students agreed that health systems science topics were important but disagreed that studying for Step 1 helped learn this content. Students reported being more motivated to study a topic if it was on the exam, part of a course grade, prioritized by residency program directors, or if it would make them a better physician in the future. Insights: These results confirm the primacy of the United States Medical Licensing Examination Step 1 exam in preclinical medical education and demonstrate the need to balance the objectives of medical licensure and residency selection with the goals of the broader medical profession. The survey responses suggest several potential solutions to increase student engagement in health systems science curricula which may be especially important after Step 1 examination results are reported as pass/fail

Optimizing the AKI definition during first postnatal week using Assessment of Worldwide Acute Kidney Injury Epidemiology in Neonates (AWAKEN) cohort.

BACKGROUND: Neonates with serum creatinine (SCr) rise ≥0.3 mg/dL and/or ≥50% SCr rise are more likely to die, even when controlling for confounders. These thresholds have not been tested in newborns. We hypothesized that different gestational age (GA) groups require different SCr thresholds. METHODS: Neonates in Assessment of Worldwide Acute Kidney Epidemiology in Neonates (AWAKEN) with ≥1 SCr on postnatal days 1-2 and ≥1 SCr on postnatal days 3-8 were assessed. We compared the mortality predictability of SCr absolute (≥0.3 mg/dL) vs percent (≥50%) rise. Next, we determine usefulness of combining absolute with percent rise. Finally, we determined the optimal absolute, percent, and maximum SCr thresholds that provide the highest mortality area under curve (AUC) and specificity for different GA groups. RESULTS: The ≥0.3 mg/dL rise outperformed ≥50% SCr rise. Addition of percent rise did not improve mortality predictability. The optimal SCr thresholds to predict AUC and specificity were ≥0.3 and ≥0.6 mg/dL for ≤29 weeks GA, and ≥0.1 and ≥0.3 mg/dL for \u3e29 week GA. The maximum SCr value provides great specificity. CONCLUSION: Unique SCr rise cutoffs for different GA improves outcome prediction. Percent SCr rise does not add value to the neonatal AKI definition

The Monarch Initiative in 2019: an integrative data and analytic platform connecting phenotypes to genotypes across species.

In biology and biomedicine, relating phenotypic outcomes with genetic variation and environmental factors remains a challenge: patient phenotypes may not match known diseases, candidate variants may be in genes that haven't been characterized, research organisms may not recapitulate human or veterinary diseases, environmental factors affecting disease outcomes are unknown or undocumented, and many resources must be queried to find potentially significant phenotypic associations. The Monarch Initiative (https://monarchinitiative.org) integrates information on genes, variants, genotypes, phenotypes and diseases in a variety of species, and allows powerful ontology-based search. We develop many widely adopted ontologies that together enable sophisticated computational analysis, mechanistic discovery and diagnostics of Mendelian diseases. Our algorithms and tools are widely used to identify animal models of human disease through phenotypic similarity, for differential diagnostics and to facilitate translational research. Launched in 2015, Monarch has grown with regards to data (new organisms, more sources, better modeling); new API and standards; ontologies (new Mondo unified disease ontology, improvements to ontologies such as HPO and uPheno); user interface (a redesigned website); and community development. Monarch data, algorithms and tools are being used and extended by resources such as GA4GH and NCATS Translator, among others, to aid mechanistic discovery and diagnostics

The Monarch Initiative in 2019: an integrative data and analytic platform connecting phenotypes to genotypes across species

In biology and biomedicine, relating phenotypic outcomes with genetic variation and environmental factors remains a challenge: patient phenotypes may not match known diseases, candidate variants may be in genes that haven't been characterized, research organisms may not recapitulate human or veterinary diseases, environmental factors affecting disease outcomes are unknown or undocumented, and many resources must be queried to find potentially significant phenotypic associations. The Monarch Initiative (https://monarchinitiative.org) integrates information on genes, variants, genotypes, phenotypes and diseases in a variety of species, and allows powerful ontology-based search. We develop many widely adopted ontologies that together enable sophisticated computational analysis, mechanistic discovery and diagnostics of Mendelian diseases. Our algorithms and tools are widely used to identify animal models of human disease through phenotypic similarity, for differential diagnostics and to facilitate translational research. Launched in 2015, Monarch has grown with regards to data (new organisms, more sources, better modeling); new API and standards; ontologies (new Mondo unified disease ontology, improvements to ontologies such as HPO and uPheno); user interface (a redesigned website); and community development. Monarch data, algorithms and tools are being used and extended by resources such as GA4GH and NCATS Translator, among others, to aid mechanistic discovery and diagnostics

Replenishing Australia’s water future:From stagnation to innovation

This chapter charts Australia’s leading-edge water law and governance reforms. It discusses progress on implementation and the challenges this has posed. Connections are drawn between Australia’s experience and the water law and governance literature. After outlining the book’s chapters, four fundamental questions are analysed and answered, namely how successful is Australia’s approach to designing and implementing water governance? What conditions have enabled or blocked its success, including environment, social, political and legal? How does Australia’s water governance system compare and contrast with different international water governance practices? And what are the broader insights for future water governance practice and theory