Data

In Silico Sorghum GxExM Dataset For Prediction Algorithm Comparisons

The University of Queensland
Dr Owen Powell (Aggregated by) Dr Owen Powell (Aggregated by) Mr Greg McLean (Aggregated by) Mr Greg McLean (Aggregated by) Professor Graeme Hammer (Aggregated by)
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ctx_ver=Z39.88-2004&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Adc&rfr_id=info%3Asid%2FANDS&rft_id=info:doi10.6084/m9.figshare.23789685.v2&rft.title=In Silico Sorghum GxExM Dataset For Prediction Algorithm Comparisons&rft.identifier=10.6084/m9.figshare.23789685.v2&rft.publisher=The University of Queensland&rft.description=Simulated Multi-Environment Trial Dataset with Genomic & Trait Phenotype Data&rft.creator=Dr Owen Powell&rft.creator=Dr Owen Powell&rft.creator=Mr Greg McLean&rft.creator=Mr Greg McLean&rft.creator=Professor Graeme Hammer&rft.creator=Professor Graeme Hammer&rft.creator=Professor Mark Cooper&rft.creator=Professor Mark Cooper&rft.date=2023&rft_rights= https://guides.library.uq.edu.au/deposit-your-data/license-reuse-data-agreement&rft_subject=eng&rft_subject=Plant physiology&rft_subject=Plant biology&rft_subject=BIOLOGICAL SCIENCES&rft_subject=GENETICS&rft_subject=BIOLOGICAL SCIENCES&rft_subject=Biological Mathematics&rft_subject=MATHEMATICAL SCIENCES&rft_subject=APPLIED MATHEMATICS&rft_subject=Statistical and quantitative genetics&rft_subject=Bioinformatics and computational biology&rft_subject=Crop and pasture improvement (incl. selection and breeding)&rft_subject=Crop and pasture production&rft_subject=AGRICULTURAL, VETERINARY AND FOOD SCIENCES&rft.type=dataset&rft.language=English Access the data
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Simulated Multi-Environment Trial Dataset with Genomic & Trait Phenotype Data

Issued: 27 07 2023

Data time period: 07 2022 to 27 07 2023

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Subjects
Agricultural, Veterinary and Food Sciences | Applied Mathematics | Biological Sciences | Biological Sciences | Bioinformatics and Computational Biology | Biological Mathematics | Crop and Pasture Improvement (Incl. Selection and Breeding) | Crop and Pasture Production | Genetics | Mathematical Sciences | Plant Biology | Plant Physiology | Statistical and Quantitative Genetics | eng |

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Identifiers
ACN 633 798 857