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2021 Journal Article Genotype specific P-spline response surfaces assist interpretation of regional wheat adaptation to climate changeBustos-Korts, Daniela, Boer, Martin P., Chenu, Karine, Zheng, Bangyou, Chapman, Scott and van Eeuwijk, Fred (2021). Genotype specific P-spline response surfaces assist interpretation of regional wheat adaptation to climate change. In Silico Plants, 3 (2) diab018. doi: 10.1093/insilicoplants/diab018 |
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2021 Journal Article Coupling of machine learning methods to improve estimation of ground coverage from unmanned aerial vehicle (UAV) imagery for high-throughput phenotyping of cropsHu, Pengcheng, Chapman, Scott C. and Zheng, Bangyou (2021). Coupling of machine learning methods to improve estimation of ground coverage from unmanned aerial vehicle (UAV) imagery for high-throughput phenotyping of crops. Functional Plant Biology, 48 (8), 766-779. doi: 10.1071/FP20309 |
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2021 Journal Article Scaling up high-throughput phenotyping for abiotic stress selection in the fieldSmith, Daniel T., Potgieter, Andries B. and Chapman, Scott C. (2021). Scaling up high-throughput phenotyping for abiotic stress selection in the field. Theoretical and Applied Genetics, 134 (6), 1845-1866. doi: 10.1007/s00122-021-03864-5 |
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2021 Journal Article Evolution and application of digital technologies to predict crop type and crop phenology in agriculturePotgieter, A. B., Zhao, Yan, Zarco-Tejada, Pablo J, Chenu, Karine, Zhang, Yifan, Porker, Kenton, Biddulph, Ben, Dang, Yash P., Neale, Tim, Roosta, Fred and Chapman, Scott (2021). Evolution and application of digital technologies to predict crop type and crop phenology in agriculture. In Silico Plants, 3 (1) diab017, 1-23. doi: 10.1093/insilicoplants/diab017 |
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2021 Journal Article An analysis of simulated yield data for pepper shows how genotype × environment interaction in yield can be understood in terms of yield components and their QTLsRodrigues, Paulo C., Heuvelink, Ep, Marcelis, Leo F. M., Chapman, Scott C. and van Eeuwijk, Fred A. (2021). An analysis of simulated yield data for pepper shows how genotype × environment interaction in yield can be understood in terms of yield components and their QTLs. Crop Science, 61 (3), 1826-1842. doi: 10.1002/csc2.20476 |
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2021 Journal Article UAV-Thermal imaging and agglomerative hierarchical clustering techniques to evaluate and rank physiological performance of wheat genotypes on sodic soilDas, Sumanta, Christopher, Jack, Apan, Armando, Roy Choudhury, Malini, Chapman, Scott, Menzies, Neal W. and Dang, Yash P. (2021). UAV-Thermal imaging and agglomerative hierarchical clustering techniques to evaluate and rank physiological performance of wheat genotypes on sodic soil. ISPRS Journal of Photogrammetry and Remote Sensing, 173, 221-237. doi: 10.1016/j.isprsjprs.2021.01.014 |
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2021 Journal Article Limiting transpiration rate in high evaporative demand conditions to improve Australian wheat productivityCollins, Brian, Chapman, Scott, Hammer, Graeme and Chenu, Karine (2021). Limiting transpiration rate in high evaporative demand conditions to improve Australian wheat productivity. in silico Plants, 3 (1) diab006, 1-16. doi: 10.1093/insilicoplants/diab006 |
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2021 Journal Article Integrating crop growth models with remote sensing for predicting biomass yield of sorghumYang, Kai-Wei, Chapman, Scott, Carpenter, Neal, Hammer, Graeme, McLean, Greg, Zheng, Bangyou, Chen, Yuhao, Delp, Edward, Masjedi, Ali, Crawford, Melba, Ebert, David, Habib, Ayman, Thompson, Addie, Weil, Clifford and Tuinstra, Mitchell R (2021). Integrating crop growth models with remote sensing for predicting biomass yield of sorghum. In Silico Plants, 3 (1) diab001, 1-19. doi: 10.1093/insilicoplants/diab001 |
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2021 Conference Publication Domain adaptation for plant organ detection with style transferJames, Chrisbin, Gu, Yanyang, Chapman, Scott, Guo, Wei, David, Etienne, Madec, Simon, Potgieter, Andries and Eriksson, Anders (2021). Domain adaptation for plant organ detection with style transfer. International Conference on Digital Image Computing - Techniques and Applications (DICTA), Online, 29 November - 1 December 2021. Piscataway, NJ United States: Institute of Electrical and Electronics Engineers. doi: 10.1109/DICTA52665.2021.9647293 |
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2021 Journal Article Modelling selection response in plant breeding programs using crop models as mechanistic gene-to-phenotype (CGM-G2P) multi-trait link functionsCooper, M., Powell, O., Voss-Fels, K. P., Messina, C. D., Gho, C., Podlich, D. W., Technow, F., Chapman, S. C., Beveridge, C. A., Ortiz-Barrientos, D. and Hammer, G. L. (2021). Modelling selection response in plant breeding programs using crop models as mechanistic gene-to-phenotype (CGM-G2P) multi-trait link functions. in silico Plants, 3 (1) diaa016, 1-21. doi: 10.1093/insilicoplants/diaa016 |
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2020 Conference Publication UAV-thermal imaging: A robust technology to evaluate in-field crop water stress and yield variation of wheat genotypesDas, Sumanta, Christopher, Jack, Apan, Armando, Roy Choudhury, Malini, Chapman, Scott, Menzies, Neal W. and Dang, Yash P. (2020). UAV-thermal imaging: A robust technology to evaluate in-field crop water stress and yield variation of wheat genotypes. IEEE India Geoscience and Remote Sensing Symposium (InGARSS), Ahmedabad, India, 1-4 December 2020. Piscataway, NJ, United States: IEEE. doi: 10.1109/ingarss48198.2020.9358955 |
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2020 Journal Article Global Wheat Head Detection (GWHD) dataset: a large and diverse dataset of high-resolution rgb-labelled images to develop and benchmark wheat head detection methodsDavid, E., Madec, Shouyang, Sadeghi-Tehran, Pouria, Aasen, Helge, Zheng, B., Liu, Simon, Kirchgessner, Norbert, Ishikawa, Goro, Nagasawa, Koichi, Badhon, Minhajul A., Pozniak, Curtis, de Solan, Benoit, Hund, Andreas, Chapman, Scott C., Baret, Fred, Stavness, Ian and Guo, Wei (2020). Global Wheat Head Detection (GWHD) dataset: a large and diverse dataset of high-resolution rgb-labelled images to develop and benchmark wheat head detection methods. Plant Phenomics, 2020 3521852, 1-12. doi: 10.34133/2020/3521852 |
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2020 Journal Article Breeder friendly phenotypingReynolds, Matthew, Chapman, Scott, Crespo-Herrera, Leonardo, Molero, Gemma, Mondal, Suchismita, Pequeno, Diego N.L., Pinto, Francisco, Pinera-Chavez, Francisco J., Poland, Jesse, Rivera-Amado, Carolina, Saint Pierre, Carolina and Sukumaran, Sivakumar (2020). Breeder friendly phenotyping. Plant Science, 295 110396, 110396. doi: 10.1016/j.plantsci.2019.110396 |
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2020 Conference Publication Understanding crop environments to adapt management practices and assist breedingChenu, K., Ababaei, B., Zheng, B., Chapman, S. and Hammer, G. (2020). Understanding crop environments to adapt management practices and assist breeding. InterDrought, Mexico City, Mexico, 9-13 March 2020. |
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2020 Journal Article Linking genetic maps and simulation to optimize breeding for wheat flowering time in current and future climatesBogard, Matthieu, Biddulph, Ben, Zheng, Bangyou, Hayden, Matthew, Kuchel, Haydn, Mullan, Dan, Allard, Vincent, Gouis, Jacques Le and Chapman, Scott C. (2020). Linking genetic maps and simulation to optimize breeding for wheat flowering time in current and future climates. Crop Science, 60 (2), 678-699. doi: 10.1002/csc2.20113 |
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2020 Journal Article Designing crops for adaptation to the drought and high-temperature risks anticipated in future climatesHammer, Graeme. L., McLean, Greg, van Oosterom, Erik, Chapman, Scott, Zheng, Bangyou, Wu, Alex, Doherty, Alastair and Jordan, David (2020). Designing crops for adaptation to the drought and high-temperature risks anticipated in future climates. Crop Science, 60 (2), 605-621. doi: 10.1002/csc2.20110 |
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2020 Conference Publication APSIM platform for modelling and simulation of agricultural systems: overview, examples and applicationsHammer, G., Chapman, S., Chenu, K. and McLean, G. (2020). APSIM platform for modelling and simulation of agricultural systems: overview, examples and applications. CGIAR Webinar - Platform for Big Data in Agriculture, Virtual, 6 February 2020. |
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2020 Conference Publication Quantifying drought tolerant crop traits using sensing technologies to enhance selection in sorghum breeding trialsPotgieter, A.B., Laws, Kenneth, George-Jaeggli, Barbara, Hunt, Colleen, Reynolds Massey-Reed, Sean, Lamprecht, Marnie, Liedtke, Jana D., Zhao, Yan, Chapman, Scott, Borrell, Andrew K., Mace, Emma S., Hammer, Graeme L. and Jordan, David R. (2020). Quantifying drought tolerant crop traits using sensing technologies to enhance selection in sorghum breeding trials. Interdrought 2020, Mexico City, Mexico, 9-13 March 2020. |
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2020 Conference Publication Integrated high-throughput phenotyping with high resolution multispectral, hyperspectral and 3D point cloud techniques for screening wheat genotypes on sodic soilsChoudhury, Malini Roy, Christopher, Jack, Apan, Armando, Chapman, Scott, Menzies, Neal and Dang, Yash (2020). Integrated high-throughput phenotyping with high resolution multispectral, hyperspectral and 3D point cloud techniques for screening wheat genotypes on sodic soils. Third International Tropical Agriculture Conference (TROPAG 2019), Brisbane, Australia, 11–13 November 2019. Basel, Switzerland: MDPI . doi: 10.3390/proceedings2019036206 |
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2019 Journal Article From QTLs to adaptation landscapes: using genotype-to-phenotype models to characterize G×E over timeBustos-Korts, Daniela, Malosetti, Marcos, Chenu, Karine, Chapman, Scott, Boer, Martin P., Zheng, Bangyou and van Eeuwijk, Fred A. (2019). From QTLs to adaptation landscapes: using genotype-to-phenotype models to characterize G×E over time. Frontiers in Plant Science, 10 1540, 1540. doi: 10.3389/fpls.2019.01540 |
