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2020

Journal Article

Multi-environment analysis of sorghum breeding trials using additive and dominance genomic relationships

Hunt, Colleen H., Hayes, Ben J., van Eeuwijk, Fred A., Mace, Emma S. and Jordan, David R. (2020). Multi-environment analysis of sorghum breeding trials using additive and dominance genomic relationships. Theoretical and Applied Genetics, 133 (3), 1009-1018. doi: 10.1007/s00122-019-03526-7

Multi-environment analysis of sorghum breeding trials using additive and dominance genomic relationships

2019

Journal Article

Crop genomics goes beyond a single reference genome

Tao, Yongfu, Jordan, David R. and Mace, Emma S. (2019). Crop genomics goes beyond a single reference genome. Trends in Plant Science, 24 (12), 1072-1074. doi: 10.1016/j.tplants.2019.10.001

Crop genomics goes beyond a single reference genome

2019

Journal Article

Genomic prediction of grain yield and drought-adaptation capacity in sorghum is enhanced by multi-trait analysis

Velazco, Julio G., Jordan, David R., Mace, Emma S., Hunt, Colleen H., Malosetti, Marcos and van Eeuwijk, Fred A. (2019). Genomic prediction of grain yield and drought-adaptation capacity in sorghum is enhanced by multi-trait analysis. Frontiers in Plant Science, 10 997, 997. doi: 10.3389/fpls.2019.00997

Genomic prediction of grain yield and drought-adaptation capacity in sorghum is enhanced by multi-trait analysis

2019

Journal Article

Combining pedigree and genomic information to improve prediction quality: an example in sorghum

Velazco, Julio G., Malosetti, Marcos, Hunt, Colleen H., Mace, Emma S., Jordan, David R. and van Eeuwijk, Fred A. (2019). Combining pedigree and genomic information to improve prediction quality: an example in sorghum. Theoretical and Applied Genetics, 132 (7), 2055-2067. doi: 10.1007/s00122-019-03337-w

Combining pedigree and genomic information to improve prediction quality: an example in sorghum

2019

Journal Article

A weakly supervised deep learning framework for sorghum head detection and counting

Ghosal, Sambuddha, Zheng, Bangyou, Chapman, Scott C., Potgieter, Andries B., Jordan, David R., Wang, Xuemin, Singh, Asheesh K., Singh, Arti, Hirafuji, Masayuki, Ninomiya, Seishi, Ganapathysubramanian, Baskar, Sarkar, Soumik and Guo, Wei (2019). A weakly supervised deep learning framework for sorghum head detection and counting. Plant Phenomics, 2019 1525874, 1525874-14. doi: 10.34133/2019/1525874

A weakly supervised deep learning framework for sorghum head detection and counting

2019

Journal Article

A domestication history of dynamic adaptation and genomic deterioration in Sorghum

Smith, Oliver, Nicholson, William V., Kistler, Logan, Mace, Emma, Clapham, Alan, Rose, Pamela, Stevens, Chris, Ware, Roselyn, Samavedam, Siva, Barker, Guy, Jordan, David, Fuller, Dorian Q. and Allaby, Robin G. (2019). A domestication history of dynamic adaptation and genomic deterioration in Sorghum. Nature Plants, 5 (4), 369-379. doi: 10.1038/s41477-019-0397-9

A domestication history of dynamic adaptation and genomic deterioration in Sorghum

2019

Journal Article

Exploring and exploiting pan-genomics for crop improvement

Tao, Yongfu, Zhao, Xianrong, Mace, Emma, Henry, Robert and Jordan, David (2019). Exploring and exploiting pan-genomics for crop improvement. Molecular Plant, 12 (2), 156-169. doi: 10.1016/j.molp.2018.12.016

Exploring and exploiting pan-genomics for crop improvement

2018

Journal Article

Aerial imagery analysis – quantifying appearance and number of sorghum heads for applications in breeding and agronomy

Guo, Wei, Zheng, Bangyou, Potgieter, Andries B., Diot, Julien, Watanabe, Kakeru, Noshita, Koji, Jordan, David R., Wang, Xuemin, Watson, James, Ninomiya, Seishi and Chapman, Scott C. (2018). Aerial imagery analysis – quantifying appearance and number of sorghum heads for applications in breeding and agronomy. Frontiers in Plant Science, 9 1544, 1544. doi: 10.3389/fpls.2018.01544

Aerial imagery analysis – quantifying appearance and number of sorghum heads for applications in breeding and agronomy

2018

Journal Article

The Sorghum QTL Atlas: a powerful tool for trait dissection, comparative genomics and crop improvement

Mace, Emma, Innes, David, Hunt, Colleen, Wang, Xuemin, Tao, Yongfu, Baxter, Jared, Hassall, Michael, Hathorn, Adrian and Jordan, David (2018). The Sorghum QTL Atlas: a powerful tool for trait dissection, comparative genomics and crop improvement. Theoretical and Applied Genetics, 132 (3), 751-766. doi: 10.1007/s00122-018-3212-5

The Sorghum QTL Atlas: a powerful tool for trait dissection, comparative genomics and crop improvement

2018

Journal Article

Estimation of plant height using a high throughput phenotyping platform based on unmanned aerial vehicle and self-calibration: Example for sorghum breeding

Hu, Pengcheng, Chapman, Scott C., Wang, Xuemin, Potgieter, Andries, Duan, Tao, Jordan, David, Guo, Yan and Zheng, Bangyou (2018). Estimation of plant height using a high throughput phenotyping platform based on unmanned aerial vehicle and self-calibration: Example for sorghum breeding. European Journal of Agronomy, 95, 24-32. doi: 10.1016/j.eja.2018.02.004

Estimation of plant height using a high throughput phenotyping platform based on unmanned aerial vehicle and self-calibration: Example for sorghum breeding

2018

Journal Article

Novel grain weight loci revealed in a cross between cultivated and wild sorghum

Tao, Yongfu, Mace, Emma, George-Jaeggli, Barbara, Hunt, Colleen, Cruickshank, Alan, Henzell, Robert and Jordan, David (2018). Novel grain weight loci revealed in a cross between cultivated and wild sorghum. The Plant Genome, 11 (2) 170089, 170089. doi: 10.3835/plantgenome2017.10.0089

Novel grain weight loci revealed in a cross between cultivated and wild sorghum

2018

Journal Article

Development of genomic prediction in sorghum

Hunt, Colleen H., van Eeuwijk, Fred A., Mace, Emma S., Hayes, Ben J. and Jordan, David R. (2018). Development of genomic prediction in sorghum. Crop Science, 58 (2), 690-700. doi: 10.2135/cropsci2017.08.0469

Development of genomic prediction in sorghum

2018

Journal Article

Integrating modelling and phenotyping approaches to identify and screen complex traits : transpiration efficiency in cereals

Chenu, K., van Oosterom, E. J., McLean, G., Deifel, K. S., Fletcher, A., Geetika, G., Tirfessa, A., Mace, E. S., Jordan, D. R., Sulman, R. and Hammer, G. L. (2018). Integrating modelling and phenotyping approaches to identify and screen complex traits : transpiration efficiency in cereals. Journal of Experimental Botany, 69 (13), 3181-3194. doi: 10.1093/jxb/ery059

Integrating modelling and phenotyping approaches to identify and screen complex traits : transpiration efficiency in cereals

2018

Journal Article

Characterization of Linkage Disequilibrium and Population Structure in a Mungbean Diversity Panel

Noble, Thomas J., Tao, Yongfu, Mace, Emma S., Williams, Brett, Jordan, David R., Douglas, Colin A. and Mundree, Sagadevan G. (2018). Characterization of Linkage Disequilibrium and Population Structure in a Mungbean Diversity Panel. Frontiers in Plant Science, 8 2102, 1-9. doi: 10.3389/fpls.2017.02102

Characterization of Linkage Disequilibrium and Population Structure in a Mungbean Diversity Panel

2017

Journal Article

Investigating successive Australian barley breeding populations for stable resistance to leaf rust

Ziems, L. A., Franckowiak, J. D., Platz, G. J., Mace, E. S., Park, R. F., Singh, D., Jordan, D. R. and Hickey, L. T. (2017). Investigating successive Australian barley breeding populations for stable resistance to leaf rust. Theoretical and Applied Genetics, 130 (11), 2463-2477. doi: 10.1007/s00122-017-2970-9

Investigating successive Australian barley breeding populations for stable resistance to leaf rust

2017

Journal Article

The vegetative nitrogen response of sorghum lines containing different alleles for nitrate reductase and glutamate synthase

Diatloff, Eugene, Mace, Emma S., Jordan, David R., Filleur, Sophie, Tai, Shuaishuai, Schmidt, Susanne and Godwin, Ian D. (2017). The vegetative nitrogen response of sorghum lines containing different alleles for nitrate reductase and glutamate synthase. Molecular Breeding, 37 (11) 138. doi: 10.1007/s11032-017-0738-1

The vegetative nitrogen response of sorghum lines containing different alleles for nitrate reductase and glutamate synthase

2017

Journal Article

VERNALIZATION1 modulates root system architecture in wheat and barley

Voss-Fels, Kai P., Robinson, Hannah, Mudge, Stephen R., Richard, Cecile, Newman, Saul, Wittkop, Benjamin, Stahl, Andreas, Friedt, Wolfgang, Frisch, Matthias, Gabur, Iulian, Miller-Cooper, Anika, Campbell, Bradley C., Kelly, Alison, Fox, Glen, Christopher, Jack, Christopher, Mandy, Chenu, Karine, Franckowiak, Jerome, Mace, Emma S., Borrell, Andrew K., Eagles, Howard, Jordan, David R., Botella, Jose R., Hammer, Graeme, Godwin, Ian D., Trevaskis, Ben, Snowdon, Rod J. and Hickey, Lee T. (2017). VERNALIZATION1 modulates root system architecture in wheat and barley. Molecular Plant, 11 (1), 226-229. doi: 10.1016/j.molp.2017.10.005

VERNALIZATION1 modulates root system architecture in wheat and barley

2017

Journal Article

Multi-spectral imaging from an unmanned aerial vehicle enables the assessment of seasonal leaf area dynamics of sorghum breeding lines

Potgieter, Andries B., George-Jaeggli, Barbara, Chapman, Scott C., Laws, Kenneth, Cadavid, Luz A. Suarez, Wixted, Jemima, Watson, James, Eldridge, Mark, Jordan, David R. and Hammer, Graeme L. (2017). Multi-spectral imaging from an unmanned aerial vehicle enables the assessment of seasonal leaf area dynamics of sorghum breeding lines. Frontiers in Plant Science, 8 1532. doi: 10.3389/fpls.2017.01532

Multi-spectral imaging from an unmanned aerial vehicle enables the assessment of seasonal leaf area dynamics of sorghum breeding lines

2017

Journal Article

Post-anthesis nitrate uptake is critical to yield and grain protein content in Sorghum bicolor

Worland, Belinda, Robinson, Nicole, Jordan, David, Schmidt, Susanne and Godwin, Ian (2017). Post-anthesis nitrate uptake is critical to yield and grain protein content in Sorghum bicolor. Journal of Plant Physiology, 216, 118-124. doi: 10.1016/j.jplph.2017.05.026

Post-anthesis nitrate uptake is critical to yield and grain protein content in Sorghum bicolor

2017

Journal Article

Whole-genome analysis of candidate genes associated with seed size and weight in Sorghum bicolor reveals signatures of artificial selection and insights into parallel domestication in cereal crops

Tao, Yongfu, Mace, Emma S., Tai, Shuaishuai, Cruickshank, Alan, Campbell, Bradley C., Zhao, Xianrong, Van Oosterom, Erik J., Godwin, Ian D., Botella, Jose R. and Jordan, David R. (2017). Whole-genome analysis of candidate genes associated with seed size and weight in Sorghum bicolor reveals signatures of artificial selection and insights into parallel domestication in cereal crops. Frontiers in Plant Science, 8 1237, 1237.1-1237.14. doi: 10.3389/fp/s.2017.01237

Whole-genome analysis of candidate genes associated with seed size and weight in Sorghum bicolor reveals signatures of artificial selection and insights into parallel domestication in cereal crops