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Garry J O'Leary

Showing results (1-10 of 14) with videos related to

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Frontiers in Plant Science|November 10, 2022
Identification of agro-physiological traits of lentil that reduce risks of droughtAbeya Temesgen Tefera, Garry J O'Leary, Thabo Thayalakumaran, et al.
Global Change Biology|April 3, 2020
A reduced-tillering trait shows small but important yield gains in dryland wheat productionAlireza Houshmandfar, Noboru Ota, Garry J O'Leary, et al.
Global Change Biology|April 23, 2020
Early vigour in wheat: Could it lead to more severe terminal drought stress under elevated atmospheric [CO<sub>2</sub> ] and semi-arid conditions?Maryse Bourgault, Heidi A Webber, Karine Chenu, et al.
Nature Food|July 15, 2024
Pathways to identify and reduce uncertainties in agricultural climate impact assessmentsBin Wang, Jonas Jägermeyr, Garry J O'Leary, et al.
Nature Food|May 2, 2023
Sources of uncertainty for wheat yield projections under future climate are site-specificBin Wang, Puyu Feng, De Li Liu, et al.
Global Change Biology|December 9, 2014
Response of wheat growth, grain yield and water use to elevated CO<sub>2</sub> under a Free-Air CO<sub>2</sub> Enrichment (FACE) experiment and modelling in a semi-arid environmentGarry J O'Leary, Brendan Christy, James Nuttall, et al.
Global Change Biology|December 29, 2017
Australian wheat production expected to decrease by the late 21st centuryBin Wang, De L Liu, Garry J O'Leary, et al.
TAG. Theoretical and Applied Genetics. Theoretische Und Angewandte Genetik|April 18, 2024
Statistical sampling of missing environmental variables improves biophysical genomic prediction in wheatAbdulqader Jighly, Thabo Thayalakumaran, Surya Kant, et al.
Journal of Experimental Botany|October 7, 2022
Using genomic prediction with crop growth models enables the prediction of associated traits in wheatAbdulqader Jighly, Thabo Thayalakumaran, Garry J O'Leary, et al.
Journal of Experimental Botany|May 13, 2023
Integrating biophysical crop growth models and whole genome prediction for their mutual benefit: a case study in wheat phenologyAbdulqader Jighly, Anna Weeks, Brendan Christy, et al.
Pageof 2

Showing results (1-10 of 14) with videos related to

Sort By:
Pageof 2
Frontiers in Plant Science|November 10, 2022
Identification of agro-physiological traits of lentil that reduce risks of droughtAbeya Temesgen Tefera, Garry J O'Leary, Thabo Thayalakumaran, et al.
Global Change Biology|April 3, 2020
A reduced-tillering trait shows small but important yield gains in dryland wheat productionAlireza Houshmandfar, Noboru Ota, Garry J O'Leary, et al.
Global Change Biology|April 23, 2020
Early vigour in wheat: Could it lead to more severe terminal drought stress under elevated atmospheric [CO<sub>2</sub> ] and semi-arid conditions?Maryse Bourgault, Heidi A Webber, Karine Chenu, et al.
Nature Food|July 15, 2024
Pathways to identify and reduce uncertainties in agricultural climate impact assessmentsBin Wang, Jonas Jägermeyr, Garry J O'Leary, et al.
Nature Food|May 2, 2023
Sources of uncertainty for wheat yield projections under future climate are site-specificBin Wang, Puyu Feng, De Li Liu, et al.
Global Change Biology|December 9, 2014
Response of wheat growth, grain yield and water use to elevated CO<sub>2</sub> under a Free-Air CO<sub>2</sub> Enrichment (FACE) experiment and modelling in a semi-arid environmentGarry J O'Leary, Brendan Christy, James Nuttall, et al.
Global Change Biology|December 29, 2017
Australian wheat production expected to decrease by the late 21st centuryBin Wang, De L Liu, Garry J O'Leary, et al.
TAG. Theoretical and Applied Genetics. Theoretische Und Angewandte Genetik|April 18, 2024
Statistical sampling of missing environmental variables improves biophysical genomic prediction in wheatAbdulqader Jighly, Thabo Thayalakumaran, Surya Kant, et al.
Journal of Experimental Botany|October 7, 2022
Using genomic prediction with crop growth models enables the prediction of associated traits in wheatAbdulqader Jighly, Thabo Thayalakumaran, Garry J O'Leary, et al.
Journal of Experimental Botany|May 13, 2023
Integrating biophysical crop growth models and whole genome prediction for their mutual benefit: a case study in wheat phenologyAbdulqader Jighly, Anna Weeks, Brendan Christy, et al.
Pageof 2