Crop Updates 2009 - Cereals

This session covers twenty seven papers from different authors: PLENARY 1. Building soil carbon for productivity and implications for carbon accounting, Jeff Baldock, CSIRO Land and Water, Adelaide, SA 2. Fact or Fiction: Who is telling the truth and how to tell the difference, Doug Edmeades, agKnowledge Ltd, Hamilton 3. Four decades of crop sequence trials in Western Australia, Mark Seymour,Department of Agriculture and Food BREAK CROPS 4. 2008 Break Crops survey Report, Paul Carmody,Development Officer, Department of Agriculture and Food 5. Attitudes of Western Australian wheatbelt growers to ‘Break Crops’, Paul Carmody and Ian Pritchard, Development Officers, Department of Agriculture and Food 6. The value of organic nitrogen from lupins, Alan Meldrum, Pulse Australia 7.The area of break crops on farm: What farmers are doing compared to estimates based on maximising profit, Michael Robertson and Roger Lawes,CSIRO Floreat, Rob Sands,FARMANCO Farm Consultants, Peter White,Department of Agriculture and Food, Western Australia, Felicity Byrne and Andrew Bathgate,Farming Systems Analysis CROP SPECIFIC Breeding 8. Identification of WALAB2014 as a potential albus lupin variety for northern agricultural region of Western Australia, Kedar Adhikari, Department of Agriculture and Food 9. Enhancement of black spot resistance in field pea, Kedar Adhikari, Tanveer Khan, Stuart Morgan and Alan Harris, Department of Agriculture and Food 10. Desi chickpea breeding: Evaluation of advanced line, Khan, TN1, Harris, A1, Gaur, P2, Siddique, KHM3, Clarke, H4, Turner, NC4, MacLeod, W1, Morgan, S1 1Department of Agriculture and Food, Western Australia, 2International Crop Research Institute for the Semi Arid Tropics (ICRISAT), 3The University of Western Australia, 4Centre for Legumes in Mediterranean Agriculture 11. Pulse Breeding Australia-Australian Field Pea Improvement Program (AFPIP), Ian Pritchard1, Chris Veitch1, Stuart Morgan1, Alan Harris1 and Tony Leonforte 2 1 Department of Agriculture and Food, Western Australia, 2 Department off Primary Industries, Victoria Disease 12. Interaction between wheat varieties and fungicides to control stripe rust for grain and quality, Kith Jayasena, Geoff Thomas, Rob Loughman, Kazue Tanaka and Bill MacLeod, Department of Agriculture and Food 13. Findings of canola disease survey 2008 and its implications for better disease management in 2009, Ravjit Khangura, WJ MacLeod, P White, P Carmody and M Amjad, Department of Agriculture and Food 14. Combating wheat leaf diseases using genome sequencing and functional genomics, Richard Oliver, Australian Centre for Necrotrophic Fungal Pathogens, Murdoch University 15. Distribution and survival of wheat curl mite (Aceria tosichella), vector of Wheat Streak Mosaic Virus, in the WA grainbelt during 2008, Dusty Severtson, Peter Mangano, John Botha and Brenda Coutts, Department of Agriculture and Food 16. Partial resistance to Stagonspora (Septoria) Partial resistance to Stagonospora (Septoria) nodorum blotch and response to fungicide in a severe epidemic scenario, Manisha Shankar1, Richard Oliver2, Kasia Rybak2and Rob Loughman1 1Department of Agriculture and Food, Western Australia, 2Australian Centre for Necrotrophic Fungal Pathogens, Murdoch University, Western Australia 17. Black pod syndrome in lupins can be reduced by regular insecticide sprays, Peter White and Michael Baker,Department of Agriculture and Food Variety performance 18. Incorporating new herbicide tolerant juncea canola into low rainfall cropping systems in Western Australia, Mohammad Amjad, Department of Agriculture and Food 19. Varietal differences in germ end staining of barley, Andrea Hills,Department of Agriculture and Food 20. Wheat variety performance in the Central Agricultural Region in 2008, Shahajahan Miyan, Department of Agriculture and Food 21. Barley variety identification using DNA fingerprinting, Peter Portmann, Agriconnect, Perth WA Dr Nicole Rice, Southern Cross University, Lismore NSW Prof Robert Henry, Southern Cross University, Lismore NSW 22. Forecast disease resistance profile for the Western Australian barley crop over the next three years, Jeff J. Russell, Department of Agriculture and Food 23. Malting barley varieties differ in their flowering date and their response to changes in sowing date, BH Paynter and Jeff J. Russell,Department of Agriculture and Food 24. Market development for new barley varieties, Linda Price,Barley Australia 25. Response of wheat varieties to sowing time at Mt Barker, Katanning and Newdegate in 2008, Brenda Shackley and Vicki Scanlan,Department of Agriculture and Food 26. Flowering dates of wheat varieties in 2008 at three locations in Western Australia, Darshan Sharma, Brenda Shackley and Christine Zaicou-Kunesch, Department of Agriculture and Food 27. Agronomic responses of new wheat varieties in the norther agricultural region in 2008, Christine Zaicou-Kunesch, Department of Agriculture and Foo

Perceived quality of life among caregivers of children with a childhood-onset dystrophinopathy: a double ABCX model of caregiver stressors and perceived resources

Background: Duchenne and Becker muscular dystrophies, collectively referred to as dystrophinopathies, are recessive X-linked disorders characterized by progressive muscle weakness and ultimately cardiac and respiratory failure. Immediate family members are often primary caregivers of individuals with a dystrophinopathy. Methods: We explored the impact of this role by inviting primary caregivers (n = 209) of males diagnosed with childhood-onset dystrophinopathy who were identified by the Muscular Dystrophy Surveillance, Tracking, and Research Network (MD STARnet) to complete a mailed questionnaire measuring perceived social support and stress, spirituality, and family quality of life (FQoL). Bivariate and multivariate analyses examined associations between study variables using the Double ABCX model as an analytic framework. Results: Higher stressor pile-up was associated with lower perceived social support (r = -0.29, p 0.05). FQoL was positively associated with all support measures (correlations ranged from: 0.25 to 0.58, p-values 0.01-0.001) and negatively associated with perceived stress and control (r = -0.49, p <.001). The association between stressor pile-up and FQoL was completely mediated through global perceived social support, supportive family relationships, and perceived stress and control; supportive non-family relationships did not remain statistically significant after controlling for other mediators. Conclusions: Findings suggest caregiver adaptation to a dystrophinopathy diagnosis can be optimized by increased perceived control, supporting family resources, and creation of a healthy family identity. Our findings will help identify areas for family intervention and guide clinicians in identifying resources that minimize stress and maximize family adaptation.CDC [5U01DD000831, 5U01DD000187, 5U01DD000189, 5U01DD000191, 5U01DD000190]This item from the UA Faculty Publications collection is made available by the University of Arizona with support from the University of Arizona Libraries. If you have questions, please contact us at [email protected]

The social network of cystic fibrosis centre care and shared Pseudomonas aeruginosa strain infection: a cross-sectional analysis

Background Person-to-person transmission is a potential pathway of Pseudomonas aeruginosa acquisition in cystic fibrosis. Reports of cross-infection of shared cystic-fibrosis-specific P aeruginosa strains across large geographical distances are concerning. Therefore, we aimed to assess the extent to which patient movement between cystic fibrosis centres contributes to dissemination

Chlamydia screening in a rural population: access, outcomes and health-care planning

During the first year of a screening programme in Cornwall, a rural area of southwest England, 5024 young people were screened for genital Chlamydia trachomatis infection. We used mapping software to assess the prevalence of genital chlamydial infection and access to genitourinary medicine services among 16-25 year olds. Using this data, we calculated that attendance at genitourinary medicine clinics in Cornwall varies between 20/1000 and 83/1000 in this age group. Similarly, the rate of positive results varies between 2.9 and 27.4%, depending on place of residence and testing site. The highest rates of infection were noted in two areas with poor access to existing genitourinary medicine clinics. This information can be used to better plan sexual health services

Biodiversity and leptospirosis risk: A case of pathogen regulation?

Well balanced ecosystems have an essential role in disease regulation, and consequently their correct functioning is increasingly recognised as imperative for maintaining human health. Disruptions to ecosystems have been found to increase the risk of several diseases, including Hantavirus, Lyme disease, Ross River virus, malaria and Ciguatera fish poisoning. Leptospirosis is a globally important emerging zoonosis, caused by spirochaete bacteria, borne by many mammalian hosts, and also transmitted environmentally. We propose that leptospirosis incidence in humans is also linked to ecosystem disruption, and that reduced biodiversity (the diversity of species within an ecological community) may be associated with increased leptospirosis incidence. To investigate this hypothesis, the relationship between biodiversity levels of island nations and their annual leptospirosis incidence rates (adjusted for GDP per capita) was examined by linear correlation and regression. Supportive, statistically significant negative associations were obtained between leptospirosis incidence and (a) total number of species (r =0.69,

Poor Growth and Pneumonia Seasonality in Infants in the Philippines: Cohort and Time Series Studies

Children with poor nutrition are at increased risk of pneumonia. In many tropical settings seasonal pneumonia epidemics occur during the rainy season, which is often a period of poor nutrition. We have investigated whether seasonal hunger may be a driver of seasonal pneumonia epidemics in children in the tropical setting of the Philippines. In individual level cohort analysis, infant size and growth were both associated with increased pneumonia admissions, consistent with findings from previous studies. A low weight for age z-score in early infancy was associated with an increased risk of pneumonia admission over the following 12 months (RR for infants in the lowest quartile of weight for age z-scores 1.28 [95% CI 1.08 to 1.51]). Poor growth in smaller than average infants was also associated with an increased risk of pneumonia (RR for those in the lowest quartile of growth in early infancy 1.31 [95%CI 1.02 to 1.68]). At a population level, we found that seasonal undernutrition preceded the seasonal increase in pneumonia and respiratory syncytial virus admissions by approximately 10 weeks (pairwise correlation at this lag was -0.41 [95%CI -0.53 to -0.27] for pneumonia admissions, and -0.63 [95%CI -0.72 to -0.51] for respiratory syncytial virus admissions). This lag appears biologically plausible. These results suggest that in addition to being an individual level risk factor for pneumonia, poor nutrition may act as a population level driver of seasonal pneumonia epidemics in the tropics. Further investigation of the seasonal level association, in particular the estimation of the expected lag between seasonal undernutrition and increased pneumonia incidence, is recommended.Stuart Paynter, Robert S. Ware, Marilla G. Lucero, Veronica Tallo, Hanna Nohynek, Eric A. F. Simões, Philip Weinstein, Peter D. Sly, Gail Williams, the ARIVAC Consortiu

Using Mathematical Transmission Modelling to Investigate Drivers of Respiratory Syncytial Virus Seasonality in Children in the Philippines

We used a mathematical transmission model to estimate when ecological drivers of respiratory syncytial virus (RSV) transmissibility would need to act in order to produce the observed seasonality of RSV in the Philippines. We estimated that a seasonal peak in transmissibility would need to occur approximately 51 days prior to the observed peak in RSV cases (range 49 to 67 days). We then compared this estimated seasonal pattern of transmissibility to the seasonal patterns of possible ecological drivers of transmissibility: rainfall, humidity and temperature patterns, nutritional status, and school holidays. The timing of the seasonal patterns of nutritional status and rainfall were both consistent with the estimated seasonal pattern of transmissibility and these are both plausible drivers of the seasonality of RSV in this setting