Garry J. O’Leary

Modelling nitrogen translocation to grain under elevated carbon dioxide in wheat

Thabo Thayalakumaran, Kirsten M. Barlow, Faith Githui, Cassandra Kiely Walker et autres

Rising atmospheric CO2 concentration tends to increase grain yields and decreases grain N concentration in cereal crops, reducing nutritional content. The robustness of APSIM-Wheat, DSSAT-Nwheat and OLEARY-CONNOR models were tested for their performance in predicting grain N yield and grain N concentration …

au, de (code pays fourni par la source)

Dataset for multi-model comparison and ensemble simulations of canola growth and yield across global sites

Di He, Jing Wang, Julianne M. Lilley, Brendan Christy et autres

This paper describes the dataset that was used to test the reliability of eight crop models in simulating growth and yield of canola in response to sowing dates, nitrogen inputs and climate variability across five countries. The dataset includes four spring cultivars …

au (code pays fourni par la source)

Pathways to identify and reduce uncertainties in agricultural climate impact assessments

Bin Wang, Jonas Jägermeyr, Garry J. O’Leary, Daniel Wallach et autres

au, us, de, cn (code pays fourni par la source)

Statistical sampling of missing environmental variables improves biophysical genomic prediction in wheat

Abdulqader Jighly, Thabo Thayalakumaran, Surya Kant, Joe Panozzo et autres

au, us (code pays fourni par la source)

Accumulative Heat Stress in Ruminants at the Regional Scale under Changing Environmental Conditions

Jean-Philippe Aurambout, Kurt K. Benke, Garry J. O’Leary

Environmental heat stress is implicated in various animal health issues in ruminants, including reproduction rates, mortality rates, and animal physical quality. During extremely hot weather, there is often no overnight equilibration of animal temperature with its cooling effect, and the accumulated heat …

au (code pays fourni par la source)

Identification of agro-phenological traits of lentil that optimise temperature and water limited flowering time and seed yield

Abeya Temesgen Tefera, Garry J. O’Leary, S. Appa Rao, Arun S. K. Shunmugam et autres

This study aimed to identify the optimal flowering times to maximise yield of lentil in current growing regions and areas of potential expansion of this crop in Australia. We used the validated APSIM-lentil model and identified critical reproductive periods matching minimum risk …

au (code pays fourni par la source)

An Explanatory Model of Red Lentil Seed Coat Colour to Manage Degradation in Quality during Storage

Bhawana Bhattarai, James G. Nuttall, Cassandra Kiely Walker, Ashley J. Wallace et autres

This study presents an explanatory biophysical model developed and validated to simulate seed coat colour traits including CIE L*, a*, and b* changes over time for stored lentil cultivars PBA Hallmark, PBA Hurricane, PBA Bolt, and PBA Jumbo2 under diverse storage conditions. …

au (code pays fourni par la source)

Intercropping—Towards an Understanding of the Productivity and Profitability of Dryland Crop Mixtures in Southern Australia

Kerry J. Stott, Ashley J. Wallace, Uttam Khanal, Brendan Christy et autres

Intercropping using mixtures of dryland crop species for grain or seed production was investigated in southern Australia across a range of rainfall zones over three years. The objective was to understand the productivity and profitability of intercropping in extensive, high-input grain cropping …

au (code pays fourni par la source)

Statistical sampling of missing environmental variables improves biophysical genomic prediction

Abdulqader Jighly, Thabo Thayalakumaran, Surya Kant, Joe Panozzo et autres

Since the invention of whole genome prediction (WGP) more than two decades ago, breeding programs have established extensive reference populations that are cultivated under diverse environmental conditions. The introduction of the CGM-WGP model, which integrates crop growth models (CGM) with WGP, has …

au, us (code pays fourni par la source)

Water use dynamics of dryland wheat grown under elevated CO2 with supplemental nitrogen

Shihab Uddin, Shahnaj Parvin, Roger D. Armstrong, Glenn J. Fitzgerald et autres

Context Elevated atmospheric CO2 (e[CO2]) and nitrogen (N) fertilisation stimulate biomass and yield of crops. However, their interactions depend on crop growth stages and may affect water use dynamics. Aims and methods This study investigated the interactive effects of two N rates, …

au (code pays fourni par la source)

AgMIP-Wheat multi-model simulations on climate change impact and adaptation for global wheat

Bing Liu, Pierre Martre, Frank A. Ewert, Heidi A. Webber et autres

The climate change impact and adaptation simulations from the Agricultural Model Intercomparison and Improvement Project (AgMIP) for wheat provide a unique dataset of multi-model ensemble simulations for 60 representative global locations covering all global wheat mega environments. The multi-model ensemble reported here …

cn, fr, de, jp, au, us, in, pk, se, at, it, dk, gb, co, be, es, fi, nl (code pays fourni par la source)

Integrating biophysical crop growth models and whole genome prediction for their mutual benefit: a case study in wheat phenology

Abdulqader Jighly, Anna Weeks, Brendan Christy, Garry J. O’Leary et autres

Running crop growth models (CGM) coupled with whole genome prediction (WGP) as a CGM-WGP model introduces environmental information to WGP and genomic relatedness information to the genotype-specific parameters modelled through CGMs. Previous studies have primarily used CGM-WGP to infer prediction accuracy without …

au, us (code pays fourni par la source)