Development of procedures to determine the fertilizer requirements of annual pasture legumes grown in cereal cropping systems.

Trials 88ME67, 88SC17, 90ME1 and 90ME2 Location: Merredin To determine the phosphate (P) fertilizer requirements of burr medic on marginally acidic, medium textured soils and yellow serradella on acidic, light textured soils. Trials 89ME52, 89ME55 and 86ME61 Location: Merredin Determine the response of yellow serradella and burr medic to residual phosphate and freshly applied phosphate. Trials 89ME50, 89ME54, 88ME67, 88SC17, 89ME60 Location: Merredin. To measure the influence of different levels of pasture productivity (generated by different levels of P supply) and the different pasture legumes on subsequent wheat crops

Seed phosphorus in wheat and lupins

Trial 90NO119 Seed P in wheat. Location: Greenhills. Design: 2 applied P x 3 seed P x 4 replicates, sowing wheat (cv. Aroona) seed from 89N33 at 70 kg/ha on May 15, 1990. Trial 90NO120 Seed P in wheat. Location: York Design: 2 applied from P x 3 seed P x 4 replicates, 89N33 at 70 kg/ha on May 25, 1990. Trial 90NO117 Seed P in lupins Location: Greenhills. Design: 2 applied P x 3 seed P x 4 replicates, sowing lupins (cv. Gungurru) from 85BA35 at 100 kg/ha on May 15, 1990. Trial 90NO118 Seed P in lupins. Location: York Design: 3 applied P x 3 seed P x 4 replicates, sowing lupins (cv. Gungurru) from 85BA35 at 100 kg/ha on May 25, 1990. Trial 90MD9 Phosphorus placement and seed P. Aim: To measure the effects of phosphate fertilizer placement on the response of lupins to varying seed P levels

Grain-filling rate improves physical grain quality in barley under heat stress conditions during the grain-filling period

Heat stress is a primary constraint to Australia's barley production. In addition to impacting grain yield, it adversely affects physical grain quality (weight and plumpness) and market value. The incidence of heat stress during grain filling is rising with global warming. However, breeding for new superior heat-tolerant genotypes has been challenging due to the narrow window of sensitivity, the unpredictable nature of heat stress, and its frequent co-occurrence with drought stress. Greater scientific knowledge regarding traits and mechanisms associated with heat tolerance would help develop more efficient selection methods. Our objective was to assess 157 barley varieties of contrasting genetic backgrounds for various developmental, agro-morphological, and physiological traits to examine the effects of heat stress on physical grain quality. Delayed sowing (i.e., July and August) increased the likelihood of daytime temperatures above 30°C during grain-filling. Supplementary irrigation of field trials ensured a reduced impact of drought stress. Heat tolerance appeared to be the primary factor determining grain plumpness. A wide variation was observed for heat tolerance, particularly among the Australian varieties. Genotypic variation was also observed for grain weight, plumpness, grain growth components, stay-green and stem water-soluble carbohydrates (WSC) content, and mobilisation under normal and delayed sown conditions. Compared to normal sowing, delayed sowing reduced duration of developmental phases, plant height, leaf size, head length, head weight, grain number, plumpness, grain width and thickness, stem WSC content, green leaf area retention, and harvest index (HI), and increased screenings, grain length, grain-filling rate (GFR), WSC mobilisation efficiency (WSCME), and grain protein content. Overall, genotypes with heavier and plumper grains under high temperatures had higher GFR, longer grain-filling duration, longer green leaf area retention, higher WSCME, taller stature, smaller leaf size, greater HI, higher grain weight/plumpness potentials, and earlier flowering. GFR played a significant role in determining barley grain weight and plumpness under heat-stress conditions. Enhancing GFR may provide a new avenue for improving heat tolerance in barley

The Wow Factor? A Comparative Study of the Development of Student Music Teachers' Talents in Scotland and Australia

For some time there has been debate about differing perspectives on musical gift and musical intelligence. One view is that musical gift is innate: that it is present in certain individuals from birth and that the task of the teacher is to develop the potential which is there. A second view is that musical gift is a complex concept which includes responses from individuals to different environments and communities (Howe and Sloboda, 1997). This then raises the possibility that musical excellence can be taught. We have already explored this idea with practising musicians (Stollery and McPhee, 2002). Our research has now expanded to include music teachers in formation, and, in this paper, we look at the influences in their musical development which have either 'crystallised' or 'paralysed' the musical talent which they possess. Our research has a comparative dimension, being carried out in Scotland and in Australia. We conclude that there are several key influences in the musical development of the individual, including home and community support, school opportunities and teaching styles and that there may be education and culture-specific elements to these influences

Sequence variation and haplotypes of lipoxygenase gene LOX-1 in the Australian barley varieties

Background Lipoxygenases are a family of enzymes which catalyse the hydroperoxidation of polyunsaturated fatty acids with a cis, cis-1,4-pentadiene to form conjugated hydroperoxydienes. Lipoxygenase-1 (LOX-1) in barley worsens the flavour and foam stability of beer. It has become a major selection criteria for malting quality in the last few years. Results Lipoxygenase activity was investigated in 41 Australian barley cultivars and advanced breeding lines released since the 1950s; the cultivars differed markedly, ranging from 22.3 to 46.5 U/g. The structural gene and its promoter of lipoxygenase-1 were sequenced from the barley varieties representing different levels of LOX. Based on the analysis of nucleotide and deduced amino acid sequences, two major haplotypes were identified. Barley varieties with lower LOX were classified into three categories based on their pedigrees and sequence variations in the structural gene: (1) barley varieties derived from Canadian varieties with the pre-harvest sprouting susceptible allele, (2) Skiff and Hindmarsh with unique haplotype in the structural gene, and (3) Gairdner and Onslow with an unknown mechanism. Conclusion Lipoxygenase activity has been reduced in the malting barley cultivars in the last 60 years although it is only recognized as a malting quality trait recently. There are clear haplotypes of the lipoxygenase structual gene. The polymorphisms detected in the structural gene can be used to design molecular markers for selection of low LOX haplotype. Other mechanisms also existed for controlling lipoxygenase activity. The results suggest that it is possible to develop barley varieties with lower LOX by combination of low LOX-1 haplotype and other trans-regulation factors

Bond-graph Input-State-Output Port-Hamiltonian formulation of memristive networks for emulation of Josephson junction circuits

A bond graph Input-State-Output Port-Hamiltonian formulation of memristive networks for Josephson junction circuits in state space is presented. The methodology has applications to the modeling of SQUIDs and other non-linear transducers and enables the formulation of input-output models of complex components embedded in non-linear networks

Crop Updates - 2009 Katanning

This session covers seventeen papers from different authors GM canola – How will it affect the way I farm? Murray Scholz, 2008 Nuffield scholar, Southern NSW Eight years of IWM smashes tyegrass seed banks by 98% over 31 focus paddocks, Peter Newman, Glenn Adam & Trevor Bell, Department of Agriculture and Food The global economic climate and impacts on agriculture, profile on Michael Whitehead Rabobank New York Lessons from five years of cropping systems research, W.K. Anderson, Department of Agriculture and Food Case study of a 17year old agricultural lime trial, C. Gazey, Department of Agriculture and Food, J. Andrew, Precision SoilTech and R. Pearce, ConsultAg Fertilising in a changing price environment, Bill Bowden, Wayne Pluske and Jeremy Lemon, Department of Agriculture and Food Fact or Fiction: Who is telling the truth and how to tell the difference? D.C. Edmeades, agKnowledge Ltd, Hamilton Forecast disease resistance profile for the Western Australian barley crop over the next three years, JJ Russell, Department of Agriculture and Food Malting barley varieties differ in their flowering date and their response to change in sowing date, BH Paynter and JJ Russell, Department of Agriculture and Food Decimating weed seed banks within non-crop phases for the benefit of subsequent crops, Dr Davis Ferris, Department of Agriculture and Food Autumn cleaning yellow serradella pastures with broad spectrum herbicides – a novel weed control strategy that exploits delayed germination, Dr Davis Ferris, Department of Agriculture and Food Emerging weeds in changing farming systems, Dr Abul Hashen, Department of Agriculture and Food More glyphosate-resistant annual ryegrass populations within Western Australia, Dr Abul Hashem and Dr Catherine Borger, Department of Agriculture and Food Reasons to use only the full label herbicide rate, Stephen B. Powels, Qin Yu, Mechelle Owen, Roberto Busi, Sudheesh Manalil, University of Western Australia Flaxleaf fleabane – coming to a property near you! Sally Peltzer, Department of Agriculture and Food Glyphosate – the consequences of cutting rates! Sally Peltzer and David Minkey, Department of Agriculture and Food Benefits of crop rotations/break crops in managing soil moisture, soil health, weeds and disease – an overview, Raj Malik, Department of Agriculture and Foo

SPEAR: The Next Generation GFDL Modeling System for Seasonal to Multidecadal Prediction and Projection

We document the development and simulation characteristics of the next generation modeling system for seasonal to decadal prediction and projection at the Geophysical Fluid Dynamics Laboratory (GFDL). SPEAR (Seamless System for Prediction and EArth System Research) is built from component models recently developed at GFDL—the AM4 atmosphere model, MOM6 ocean code, LM4 land model, and SIS2 sea ice model. The SPEAR models are specifically designed with attributes needed for a prediction model for seasonal to decadal time scales, including the ability to run large ensembles of simulations with available computational resources. For computational speed SPEAR uses a coarse ocean resolution of approximately 1.0° (with tropical refinement). SPEAR can use differing atmospheric horizontal resolutions ranging from 1° to 0.25°. The higher atmospheric resolution facilitates improved simulation of regional climate and extremes. SPEAR is built from the same components as the GFDL CM4 and ESM4 models but with design choices geared toward seasonal to multidecadal physical climate prediction and projection. We document simulation characteristics for the time mean climate, aspects of internal variability, and the response to both idealized and realistic radiative forcing change. We describe in greater detail one focus of the model development process that was motivated by the importance of the Southern Ocean to the global climate system. We present sensitivity tests that document the influence of the Antarctic surface heat budget on Southern Ocean ventilation and deep global ocean circulation. These findings were also useful in the development processes for the GFDL CM4 and ESM4 models

Crop Updates 2001 - Grower Booklet

1. Strategies for leaf disease management in wheat, Jatinderpal Bhathal1, Cameron Weeks2, Kith Jayasena1 and Robert Loughman1, 1Agriculture Western Australia. 2Mingenew-Irwin Group Inc. 2. Burn stubble windrows: to diagnose soil fertility problems, Bill Bowden, Chris Gazey and Ross Brennan, Agriculture Western Australia 3. Rainfall – what happened in 2000 and the prospects for 2001, Ian Foster, Agriculture Western Australia 4. Strategies for leaf disease management in malting barley, K. Jayasena1, Q. Knight2 and R. Loughman1, 1Agriculture Western Australia, 2IAMA Agribusiness 5. Planning your cropping program in season 2001, Dr Ross Kingwell, Agriculture Western Australia and University of Western Australia 6. Rotational crops and varieties for management of root lesion nematodes in Western Australia, S.B. Sharma, S. Kelly and R. Loughman, Crop Improvement Institute, Agriculture Western Australia 7. When and where to grow oats, Glenn McDonald, Agriculture Western Australia 8. Managing Gairdner barley for quality, Kevin Young and Blakely Paynter, Agriculture Western Australia FARMING SYSTEMS, PASTURES AND WEEDS 9.Evaluation of pasture species for phase pasture systems, Keith Devenish, Agriculture Western Australia 10. Competitiveness of wild radish in a wheat – lupin rotation, Abul Hashem, Nerys Wilkins, and Terry Piper, Agriculture Western Australia 11. Can we eradicate barley grass? Sally Peltzer, Agriculture Western Australia 12. Short term pasture phase for weed control, Clinton Revell and Candy Hudson, Agriculture Western Australia 13. Herbicide tolerance of some annual pasture legumes adapted to coarse textured sandy soils, Clinton Revell and Ian Rose, Agriculture Western Australia 14. Integrated weed management: Cadoux, Alexandra Wallace, Agriculture Western Australia LUPINS 15. Inter-row knockdowns for profitable lupins, Paul Blackwell, Agriculture Western Australia and Miles Obst, farmer, Mingenew 16.. Wild radish – the implications for our rotations, Dr David Bowran, Centre for Cropping Systems 17. Lupin variety performance: Are you making the most of it? Bevan J. Buirchell, Senior Plant Breeder, Agriculture Western Australia 18. Anthracnose in lupins – understanding the risk, Moin Salam, Art Diggle, Geoff Thomas, Mark Sweetingham and Bill O’Neill, Agriculture Western Australia OILSEEDS 19. 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 20. Canola – More responses to lime, Chris Gazey and Paul Carmody,Agriculture Western Australia 22. Performance of new canola varieties in AGWEST variety trials in 2000, G. Walton, Crop Improvement Institute, Agriculture Western Australia PULSES 23. The ascochyta management package for 2001, B. MacLeod, Agriculture Western Australia 24. Herbicide tolerance of new field pea varieties and lines, M. Seymour, H. Dhammu, T. Piper, D. Nicholson, M. D\u27Antuono, Agriculture Western Australi

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