David Jordan
David Jordan
Professor in Crop Breeding and Genetics, University of Queensland
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Zitiert von
Zitiert von
Whole-genome sequencing reveals untapped genetic potential in Africa’s indigenous cereal crop sorghum
ES Mace, S Tai, EK Gilding, Y Li, PJ Prentis, L Bian, BC Campbell, W Hu, ...
Nature communications 4 (1), 2320, 2013
Sorghum stay-green QTL individually reduce post-flowering drought-induced leaf senescence
K Harris, PK Subudhi, A Borrell, D Jordan, D Rosenow, H Nguyen, P Klein, ...
Journal of experimental botany 58 (2), 327-338, 2007
Drought adaptation of stay-green sorghum is associated with canopy development, leaf anatomy, root growth, and water uptake
AK Borrell, JE Mullet, B George-Jaeggli, EJ van Oosterom, GL Hammer, ...
Journal of experimental botany 65 (21), 6251-6263, 2014
QTL for nodal root angle in sorghum (Sorghum bicolor L. Moench) co-locate with QTL for traits associated with drought adaptation
ES Mace, V Singh, EJ Van Oosterom, GL Hammer, CH Hunt, DR Jordan
Theoretical and Applied Genetics 124, 97-109, 2012
Identification of genomic regions associated with stay green in sorghum by testing RILs in multiple environments
YZ Tao, RG Henzell, DR Jordan, DG Butler, AM Kelly, CL McIntyre
Theoretical and Applied Genetics 100, 1225-1232, 2000
A consensus genetic map of sorghum that integrates multiple component maps and high-throughput Diversity Array Technology (DArT) markers
ES Mace, JF Rami, S Bouchet, PE Klein, RR Klein, A Kilian, P Wenzl, ...
BMC plant biology 9, 1-14, 2009
QTL for root angle and number in a population developed from bread wheats (Triticum aestivum) with contrasting adaptation to water-limited environments
J Christopher, M Christopher, R Jennings, S Jones, S Fletcher, A Borrell, ...
Theoretical and Applied Genetics 126, 1563-1574, 2013
The relationship between the stay‐green trait and grain yield in elite sorghum hybrids grown in a range of environments
DR Jordan, CH Hunt, AW Cruickshank, AK Borrell, RG Henzell
Crop Science 52 (3), 1153-1161, 2012
DArT markers: diversity analyses and mapping in Sorghum bicolor
ES Mace, L Xia, DR Jordan, K Halloran, DK Parh, E Huttner, P Wenzl, ...
BMC genomics 9, 1-11, 2008
Stay‐green alleles individually enhance grain yield in sorghum under drought by modifying canopy development and water uptake patterns
AK Borrell, EJ van Oosterom, JE Mullet, B George‐Jaeggli, DR Jordan, ...
New Phytologist 203 (3), 817-830, 2014
Identification of QTL for sugar-related traits in a sweet × grain sorghum (Sorghum bicolor L. Moench) recombinant inbred population
KB Ritter, DR Jordan, SC Chapman, ID Godwin, ES Mace, ...
Molecular Breeding 22, 367-384, 2008
Morphological and architectural development of root systems in sorghum and maize
V Singh, EJ van Oosterom, DR Jordan, CD Messina, M Cooper, ...
Plant and Soil 333, 287-299, 2010
Exploring and exploiting pan-genomics for crop improvement
Y Tao, X Zhao, E Mace, R Henry, D Jordan
Molecular plant 12 (2), 156-169, 2019
An assessment of the genetic relationship between sweet and grain sorghums, within Sorghum bicolor ssp. bicolor (L.) Moench, using AFLP markers
KB Ritter, CL McIntyre, ID Godwin, DR Jordan, SC Chapman
Euphytica 157, 161-176, 2007
Integrating sorghum whole genome sequence information with a compendium of sorghum QTL studies reveals uneven distribution of QTL and of gene-rich regions with significant …
ES Mace, DR Jordan
Theoretical and Applied Genetics 123 (1), 169-191, 2011
Crop design for specific adaptation in variable dryland production environments
GL Hammer, G McLean, S Chapman, B Zheng, A Doherty, MT Harrison, ...
Crop and Pasture Science 65 (7), 614-626, 2014
Multi-spectral imaging from an unmanned aerial vehicle enables the assessment of seasonal leaf area dynamics of sorghum breeding lines
AB Potgieter, B George-Jaeggli, SC Chapman, K Laws, ...
Frontiers in Plant Science 8, 1532, 2017
A weakly supervised deep learning framework for sorghum head detection and counting
S Ghosal, B Zheng, SC Chapman, AB Potgieter, DR Jordan, X Wang, ...
Plant Phenomics, 2019
Estimation of plant height using a high throughput phenotyping platform based on unmanned aerial vehicle and self-calibration: example for sorghum breeding
P Hu, SC Chapman, X Wang, A Potgieter, T Duan, D Jordan, Y Guo, ...
European Journal of Agronomy 95, 24-32, 2018
Prediction of hybrid performance in grain sorghum using RFLP markers
D Jordan, Y Tao, I Godwin, R Henzell, M Cooper, C McIntyre
Theoretical and Applied Genetics 106, 559-567, 2003
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