Sheep Updates 2007 - part 1

This session covers six papers from different authors: PLENARY 1. Life beyond the farmgate - the meat perspective, Richard Gunner – Principal:- Richard Gunner’s Fine Meats 2. Do you need to worry about climate change?, Anthony Clark, Centre for Resource and Environmental Studies, Australian National University and Bureau of Rural Sciences. 3. Ruminant nutrition panel session - The impact of nutrition on animal health and welfare, Kevin Bell, School of Veterinary and Biomedical Studies, Murdoch University 4. Ruminant nutrition panel session - Pasture/animal interactions, Hugh Dove, Chief Research Scientist, CSIRO Plant Industry 5. Precision Cattle Breeding for the 21st Century, H.M. Burrow, Cooperative Research Centre for Beef Genetic Technologies 6. Profitable PerenialsTM for Australian Livestock Industries, Kevin Goss, CEO Designate, Future Farm Industries CRC, University of Western Australi

Sheep Updates 2007 - part 5

This session covers six papers from different authors: GENETIC IMPROVEMENT 1. Breech Strike Resistance: Selecting for resistance traits reduces breech strike, Bindi Murray, John Karlsson, Johan Greeff, Department of Agriculture and Food, Western Australia 2. Breeding Merino Sheep for Worm Resistance increases profit in a Mediterranean Environment, John Karlsson and Johan Greeff Department of Agriculture and Food, Western Australia FEEDING 3. Embryo lasses were not increased when Merino ewes that had lost weight were supplemented with lupins, C. Viñoles Gil, B.L. Paganoni, K.M.M. Glover, J.T.B. Milton & G.B. Martin, School of Animal Biology, Faculty of Natural and Agricultural Sciences, University of Western Australia, Crawley, WA 4. Mineral nutrition of sheep grazing dual-purpose wheats, Hugh Dove, CSIRO Plant Industry, Canberra, ACT BEEF PRODUCTIVITY 5. The effect of genetic potential and pre feedlot growth path on beef eating quality, Bill McKiernan and John WilkinsNSW Department of Primary Industries 6. Long-term consequences of growth and nutrition of cattle early in life for beef production, Paul Greenwood and Linda Cafe, Cooperative Research Centre for Beef Genetic Technologies, and NSW Department of Primary Industries Beef Industry Centre of Excellence, University of New England, Armidale NS

Crop Updates 2010 - Farming Systems

This session covers twenty papers from different authors: Pests and Disease 1. Preserving phosphine for use in Grain Storage Industry, Christopher R Newman, Department of Agriculture and Food Farming Systems Research 2. Demonstrating the benefits of grazing canola in Western Australia, Jonathan England, Stephen Gherardi and Mohammad Amjad, Department of Agriculture and Food 3. Buloke barley yield when pasture-cropped across subtropical perennial pastures, David Ferris, Department of Agriculture and Food, Phil Ward and Roger Lawes, CSIRO 4. Is pasture cropping viable in WA? Grower perceptions and EverCrop initiatives to evaluate, David Ferris, Tim Wiley, Perry Dolling, Department of Agriculture and Food, Philip Barrett-Lennard, Evergreen farming 5. Best-bet management for dual-purpose canola, John Kirkegaard, Susan Sprague, Hugh Dove and Walter Kelman, CSIRO, Canberra, Peter Hamblin, Agritech Research, Young, NSW 6. Pasture in cropping systems – with and without sheep, Brad Nutt and Angelo Loi, Department of Agriculture and Food 7. Can technology substitute for a lupin break? Wayne Parker, Department of Agriculture and Food 8. Canola row spacing with and without long term stubble retention on a sandy clay loam at Merredin, Glen Riethmuller, Department of Agriculture and Food 9. Impact of stubble retention on water balance and crop yield, Phil Ward1, Ken Flower2,3, Neil Cordingley2 and Shayne Micin1, 1CSIRO, Wembley, Western Australia, 2Western Australian No-Till Farmers Association, 3University of Western Australia Analysis and Modelling 10. Using POAMA rainfall forecasts for crop management in South-West WA, Senthold Asseng1, Peter McIntosh2,3, Mike Pook2,3, James Risbey2,3, Guomin Wang3, Oscar Alves3, Ian Foster4, Imma Farre4 and Nirav Khimashia1, 1CSIRO Plant Industry, Perth, 2CSIRO Marine and Atmospheric Research, Hobart, 3Centre for Australian Weather and Climate Research (CAWCR), A partnership between the Australian Bureau of Meteorology and CSIRO, Melbourne, 4Department of Agriculture and Food 11. Adaption to changing climates and variability – results of the Agribusiness Changing Climates regional workshop, Anderson W3, Beard D3, Blake J3, Grieve R1, Lang M3, Lemon J3, McTaggart R3, Gray D3, Price M2 and Stephens D3, 1Roderick Grieve Farm Management Consultants, 2Coffey International P/L, 3Department of Agriculture and Food 12. Farmers’ management of seasonal variability and climate change in WA, DA Beard, DM Gray, P Carmody, Department of Agriculture and Food 13. Is there a value in having a frost forecast for wheat in South-West WA? Imma Farre1, Senthold Asseng2, Ian Foster1 and Doug Abrecht3, 1Department of Agriculture and Food, CSIRO, Floreat, 2CSIRO Plant Industry, Perth 3Department of Agriculture and Food, Centre for Cropping Systems 14. Does buying rainfall pay? Greg Kirk, Planfarm Agricultural Consultants 15. Which region in the WA wheatbelt makes best use of rainfall? Peter Rowe, Bankwest Agribusiness 16. POAMA – the Predictive Ocean-Atmosphere Model for Australia, Guomin Wang and Oscar Alves, Centre for Australian Weather and Climate Research (CAWCR), A partnership between the Australian Bureau of Meteorology and CSIRO, Melbourne 17. Exploring the link between water use efficiency and farm profitability, Cameron Weeks, Planfarm and Peter Tozer, PRT Consulting Precision Agriculture 18. A plethora of paddock information is available – how does it stack up? Derk Bakker, Department of Agriculture and Food 18. Variable rate prescription mapping for lime inputs based on electromagnetic surveying and deep soil testing, Frank D’Emden, Quenten Knight and Luke Marquis, Precision Agronomics, Australia 19. Trial design and analysis using precision agriculture and farmer’s equipment, Roger Lawes, CSIRO Sustainable Ecosystems, Centre for Environment and Life Sciences, Floreat 20. Farmer perspectives of precision agriculture in Western Australia: Issues and the way forward, Dr Roger Mandel, Curtin Universit

Neural basis of reward anticipation and its genetic determinants

Dysfunctional reward processing is implicated in various mental disorders, including attention deficit hyperactivity disorder (ADHD) and addictions. Such impairments might involve different components of the reward process, including brain activity during reward anticipation. We examined brain nodes engaged by reward anticipation in 1,544 adolescents and identified a network containing a core striatal node and cortical nodes facilitating outcome prediction and response preparation. Distinct nodes and functional connections were preferentially associated with either adolescent hyperactivity or alcohol consumption, thus conveying specificity of reward processing to clinically relevant behavior. We observed associations between the striatal node, hyperactivity, and the vacuolar protein sorting-associated protein 4A (VPS4A) gene in humans, and the causal role of Vps4 for hyperactivity was validated in Drosophila. Our data provide a neurobehavioral model explaining the heterogeneity of reward-related behaviors and generate a hypothesis accounting for their enduring nature

The Potential for Using the Alkanes and Long-Chain Alcohols of Plant Cuticular Wax to Distinguish the Contribution of Different Plant Species to a Mixed Root Mass

In mixed pastures, plants compete below ground for soil water and nutrients, just as they compete above ground for light. Quantifying below-ground competition is difficult, partly because of the difficulty of measuring the contribution of different plant species to a mixed root mass. For some years, the hydrocarbons (alkanes) of plant cuticular wax have been used to quantify the species composition of the diet of herbivores (see Mayes & Dove, 2000). More recently, the long-chain aliphatic alcohols (LCOH) of plant wax have also proved useful markers (Bugalho et al., 2004). Plant roots also contain cuticular alkanes and these may be used to discriminate between roots coming from different species (Dawson et al., 2000). We report an extension of this concept, using a combination of cuticular alkanes and LCOH to discriminate between root tissues from plant species commonly found in or sown as pastures in southeastern Australia

Dual-purpose cereals: can the relative influences of management and environment on crop recovery and grain yield be dissected?

Growing cereal crops for the dual-purposes (DP) of livestock forage during the early vegetative stages and harvesting grain at maturity has been practised for decades. It follows that scientific experiments using DP crops are nearly as old. A survey of more than 270 DP crop experiments revealed that the average effect of crop defoliation on grain yield (GY) was -7±25% (range -35 to 75%). In light of these results, the first purpose of this review was to assess how alternative crop and grazing management regimes affected forage production and GY. Management techniques in order of decreasing importance likely to maximise grain production include (i) terminating grazing at or before GS 30, (ii) matching crop phenology to environment type, (iii) sowing DP crops 2-4 weeks earlier than corresponding sowing dates of grain-only crops, and (iv) ensuring good crop establishment before commencement of grazing. The second aim was to identify the environmental and biotic mechanisms underpinning crop responses to grazing, and to identify crop traits that would be most conducive to minimising yield penalty. A variety of mechanisms increased GY after grazing. Under favourable conditions, increased GY of grazed crops occurred via reduced lodging, mitigation of foliar disease and rapid leaf area recovery after grazing. Under stressful conditions, increased yields of grazed crops were caused by reduced transpiration and conservation of soil water, delayed phenology (frost avoidance at anthesis), and high ability to retranslocate stem reserves to grain. Yield reductions caused by grazing were associated with (i) frost damage soon after grazing, (ii) poor leaf area development or (iii) delayed maturation, which led to water or temperature stress around anthesis, culminating in increased rates of green area senescence and decreased duration of grain-filling. The third aim was to examine the role of simulation models in dissecting the effects of environment from management on crop physiology. Simulation studies of DP crops have extended the results from experimental studies, confirming that forage production increases with earlier sowing, but have also revealed that chances of liveweight gain increase with earlier sowing. Recent modelling demonstrates that potential for inclusion of DP crops into traditional grain-only systems is high, except where growing-season rainfall is <300mm. Prospective research involving crop defoliation should focus on crop recovery, specifically (i) the effects of defoliation on phenology, (ii) the time-course of leaf area recovery and dry matter partitioning, and/or (iii) development of crop-grazing models, for these three areas will be most conducive to increasing the understanding of crop responses to grazing, thereby leading to better management guidelines

Recovery dynamics of rainfed winter wheat after livestock grazing 1. Growth rates, grain yields, soil water use and water-use efficiency

Detailed information on the growth dynamics, yield responses and soil water use of dual-purpose cereal crops after grazing is often required to devise guidelines for profitable grazing management. To increase the availability of such data, grazing experiments with winter wheat (Triticum aestivum) were conducted near Canberra, Australia. In 2007, cultivar Mackellar was grazed at low-short (LS, 33sheep/ha for 31 days), heavy-short (HS, 67sheep/ha for 31 days) or low-long (LL, 33sheep/ha for 62 days) intensity-durations. In 2008, cultivars Mackellar and Naparoo were grazed at the HS intensity-duration. Aboveground net primary production (ANPP) of ungrazed Mackellar crops averaged 1181g/m2. LS and HS grazing did not affect ANPP in 2007, but LL grazing in 2007 and HS grazing in 2008 treatments reduced ANPP by 20% (which included biomass removed by livestock). Average grain yield (381g/m2) was not significantly affected by grazing. Grazing increased the proportion of water lost through soil evaporation but decreased transpiration, reducing shoot dry matter production per unit evapotranspiration by up to 22%. However, grazing did not affect grain yield per unit evapotranspiration. For rainfed wheat crops grown in temperate environments, greater biomass production occurred with shorter rather than longer grazing durations, irrespective of grazing intensities

Recovery dynamics of rainfed winter wheat after livestock grazing 2. Light interception, radiation-use efficiency and dry-matter partitioning

Grazing of cereal crops reduces canopy light interception and could potentially reduce biomass production and grain yields. Alternatively, defoliation after canopy closure may increase light penetration and enhance radiation-use efficiency (RUE, shoot dry matter produced per unit light intercepted). Changes in dry matter partitioning following grazing may also ameliorate grain yield penalties. Experiments with rainfed winter wheat were conducted near Canberra, Australia, to investigate the effect of different intensity or duration of grazing on two cultivars. Grazing reduced leaf area index (LAI), light interception and growth rates by up to 90% but did not affect overall RUE. Although grazing caused significant reductions in cumulative light interception and total dry matter accumulation, it did not affect grain yields because grazed crops had delayed phenological development, allowing increased partitioning of shoot dry matter to spikes. Grazing reduced stem dry matter accumulation and consequently decreased the amount of stem assimilate available for retranslocation to kernels by up to 75%. However, by delaying crop ontogeny, grazing prolonged green area duration after anthesis and thereby increased the supply of assimilates from current photosynthesis to developing kernels, mitigating potential yield penalties caused by defoliation

Plant wax alkanes and alcohols as herbivore diet composition markers

The n-alkanes in plant cuticular wax have been used as markers for estimating the species composition of herbivore diets, but the long-chain fatty alcohols (LCOH) of plant wax may also be useful. The objective of this research was to assess if LCOH contributed extra information to differentiate plant species, compared with n-alkanes only. We used 3 data sets consisting of n-alkane and LCOH concentrations of plant species occurring in pastures of New South Wales, Australia. We used Principal Component Analysis (PCA) to summarise the data for n-alkane and LCOH concentrations obtained for the species in these data sets. The first 3 principal components explained 86 to 93% and 75 to 99% of the variance in n-alkane and LCOH concentrations, respectively. Orthogonal Procrustes Rotation (OPR) was then used to compare the results of PCA conducted with n-alkane and LCOH data, with a view to establishing whether LCOH provided discriminatory information in addition to that provided by the n-alkanes. Results of OPR indicated that this was so for all 3 data sets, and suggested that the LCOH would be useful additional markers for discriminating between plant species. We tested this by using Discriminant Analysis and cross-validation procedures in 2 data sets to distinguish between defined species groups of C3 grasses, C4 grasses, clovers and Lotus spp. The discrimination between these categories and the proportion of plant species correctly classified into the defined categories was better when using n-alkanes and LCOH together, compared with alkanes alone. Our results indicate that LCOH provided additional information that could be used for distinguishing plant species as part of estimating the species composition of herbivore diets