A5067962267- Climate change impacts on agriculture
- Agriculture Sustainability and Environmental Impact
- Pasture and Agricultural Systems
- Soil Carbon and Nitrogen Dynamics
- Ruminant Nutrition and Digestive Physiology
- Rice Cultivation and Yield Improvement
- Crop Yield and Soil Fertility
- Neural dynamics and brain function
- Plant responses to water stress
- Plant Water Relations and Carbon Dynamics
- Soil and Water Nutrient Dynamics
- Wheat and Barley Genetics and Pathology
- Bioenergy crop production and management
- Neuroscience and Neural Engineering
- Plant responses to elevated CO2
- EEG and Brain-Computer Interfaces
- Effects of Environmental Stressors on Livestock
- Rangeland Management and Livestock Ecology
- Plant nutrient uptake and metabolism
- Atmospheric and Environmental Gas Dynamics
- Agronomic Practices and Intercropping Systems
- Agricultural Economics and Policy
- Genetics and Plant Breeding
- Neural Networks and Applications
- Plant Stress Responses and Tolerance
University of Tasmania
2016-2025
Brown University
2014-2024
University of Warwick
2023-2024
The University of Melbourne
2023-2024
Natural Environment Research Council
2024
Tasmanian Institute of Agriculture
2014-2024
Tasmanian Land Conservancy
2015-2024
John Brown University
2002-2023
Colorado State University
2022-2023
Launceston General Hospital
2023
Global climate change is predicted to increase temperatures, alter geographical patterns of rainfall and the frequency extreme climatic events. Such changes are likely timing magnitude drought stresses experienced by crops. This study used new developments in classification crop water stress first characterize typology drought-stress European maize crops their associated distributions grain yield, second determine influence breeding traits anthesis-silking synchrony, maturity kernel number...
A natural Bayesian approach for mixture models with an unknown number of components is to take the usual finite model symmetric Dirichlet weights, and put a prior on components—that is, use mixtures (MFM). The most commonly used method inference MFMs reversible jump Markov chain Monte Carlo, but it can be nontrivial design good moves, especially in high-dimensional spaces. Meanwhile, there are samplers process (DPM) that relatively simple easily adapted new applications. It turns out that,...
Extreme weather events threaten food security, yet global assessments of impacts caused by crop waterlogging are rare. Here we first develop a paradigm that distils common stress patterns across environments, genotypes and climate horizons. Second, embed improved process-based understanding into farming systems model to discern changes in under future climates. Third, avenues for adapting cropping contextualised environment. We find yield penalties increase from 3-11% historically 10-20%...
Abstract We introduce the AusTraits database - a compilation of values plant traits for taxa in Australian flora (hereafter AusTraits). synthesises data on 448 across 28,640 from field campaigns, published literature, taxonomic monographs, and individual taxon descriptions. Traits vary scope physiological measures performance (e.g. photosynthetic gas exchange, water-use efficiency) to morphological attributes leaf area, seed mass, height) which link aspects ecological variation. contains...
Phosphorus (P) deficiency is the main hurdle in achieving sustainable crop production ps especially calcareous soils. Using bio-fertilizers like phosphate solubilizing bacteria (PSB) could be a useful approach for P management as they improve availability soil via dissolution, desorption and mineralization reactions. In addition, application of organic amendments with PSB further ameliorate conditions immobilized nutrients calcarious Therefore, we performed pot experiment to study role...
Abstract This review explores the potential of genetically engineering cyanobacteria with aim synthesizing high‐value protein directly from atmospheric nitrogen. The article examines numerous techniques that may enhance synthesis in cyanobacteria, and discusses advantages, barriers, opportunities for this strategy going forward. Genetic manipulation shows promise sustainably raising production via reduced greenhouse gas emissions lower dependence on synthetic fertilizers, but also...
Climatic variability in dryland production environments (E) generates variable yield and crop risks. Optimal combinations of genotype (G) management (M) depend strongly on E thus vary among sites seasons. Traditional improvement seeks broadly adapted genotypes to give best average performance under a standard regime across the entire region, with some subsequent manipulation regionally response local environmental conditions. This process does not search full spectrum potential G × M forming...
Simulation models are extensively used to predict agricultural productivity and greenhouse gas emissions. However, the uncertainties of (reduced) model ensemble simulations have not been assessed systematically for variables affecting food security climate change mitigation, within multi-species contexts. We report an international comparison benchmarking exercise, showing potential multi-model ensembles nitrous oxide (N2 O) emissions wheat, maize, rice temperate grasslands. Using a...
Competing Financial Interests: Dr. Hochberg has a financial interest in Synchron Med, Inc., company developing minimally invasive implantable brain device that could help paralyzed patients achieve direct control of assisted technologies.Dr.
Seizures are classically characterized as the expression of hypersynchronous neural activity, yet true degree synchrony in neuronal spiking (action potentials) during human seizures remains a fundamental question. We quantified temporal precision spike ensembles neocortical neurons people with pharmacologically intractable epilepsy. Two seizure types were analyzed: those by sustained gamma (∼40–60 Hz) local field potential (LFP) oscillations or spike-wave complexes (SWCs; ∼3 Hz). Fine...
Abstract Simulation models represent soil organic carbon (SOC) dynamics in global (C) cycle scenarios to support climate‐change studies. It is imperative increase confidence long‐term predictions of SOC by reducing the uncertainty model estimates. We evaluated simulated from an ensemble 26 process‐based C comparing simulations experimental data seven bare‐fallow (vegetation‐free) plots at six sites: Denmark (two sites), France, Russia, Sweden and United Kingdom. The decay these has been...
Effective dairy farm management requires the regular estimation and prediction of pasture biomass. This study explored suitability high spatio-temporal resolution Sentinel-2 imagery applicability advanced machine learning techniques for estimating aboveground biomass at paddock level in five farms across northern Tasmania, Australia. A sequential neural network model was developed by integrating time-series data, weekly field observations daily climate variables from 2017 to 2018. Linear...
Abstract Models are key tools in our quest to better understand the impacts of soil waterlogging on plant growth and crop production. Here, we reviewed state art modeling approaches compared conceptual design these models with recent experimental findings. We show that many adopt an aeration stress (AS) principle where surplus water reduces air‐filled porosity, implications for root growth. However, subsequent effects AS within each model vary considerably. In some cases, inhibits biomass...
Abstract Climate change will drive increased frequencies of extreme climatic events. Despite this, there is little scholarly information on the extent to which waterlogging caused by rainfall events impact crop physiological behaviour. To improve ability reliably model growth and development under soil stress, we advanced process-basis in farming systems Agricultural Systems Production sIMulator. Our new mathematical description adequately represented stress effects development, biomass...
Climate change (CC) in central China will seasonal patterns of agricultural production through increasingly frequent extreme climatic events (ECEs). Breeding climate-resilient wheat (Triticum aestivum L.) genotypes may mitigate adverse effects ECEs on crop productivity. To reveal traits conducive to long-term yield improvement the target population environments, we created 8,192 virtual with contrasting but realistic ranges phenology, productivity and waterlogging tolerance. Using these...