Data

Mungbean wheat farming systems dataset

The University of Queensland
Dr Millicent Smith (Aggregated by) Dr Millicent Smith (Aggregated by) Miss Shanice Van Haeften (Aggregated by) Miss Shanice Van Haeften (Aggregated by) Miss Shanice Van Haeften (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:doi10.48610/cee8b66&rft.title=Mungbean wheat farming systems dataset&rft.identifier=RDM ID: a8c4926a-fd18-4e24-81d5-5b32d67234a8&rft.publisher=The University of Queensland&rft.description=This dataset comprises phenotypic and genomic measurements from a crop rotation study evaluating genetically diverse mungbean (Vigna radiata) genotypes and their legacy effects on subsequent wheat (Triticum aestivum) performance. The experiment was conducted in Queensland, Australia in 2024 to assess the potential for breeding pulse crops to enhance rotational benefits in cereal-based farming systems. The dataset includes measurements from 309 mungbean accessions in a mini-core diversity panel (biomass, NDRE and yield) and corresponding wheat performance data (yield, NDRE and grain protein) collected from a single wheat cultivar grown in the same plot locations following mungbean harvest. Molecular marker information for all mungbean genotypes is provided to enable haplotype mapping of genomic regions associated with both direct crop performance and rotational legacy traits. All phenotypic data include spatial experimental design variables (row, column, replicate)&rft.creator=Dr Millicent Smith&rft.creator=Dr Millicent Smith&rft.creator=Miss Shanice Van Haeften&rft.creator=Miss Shanice Van Haeften&rft.creator=Miss Shanice Van Haeften&rft.creator=Professor Lee Hickey&rft.creator=Professor Lee Hickey&rft.date=2025&rft_rights= http://guides.library.uq.edu.au/deposit_your_data/terms_and_conditions&rft_subject=eng&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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Queensland Alliance for Agriculture and Food Innovation

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This dataset comprises phenotypic and genomic measurements from a crop rotation study evaluating genetically diverse mungbean (Vigna radiata) genotypes and their legacy effects on subsequent wheat (Triticum aestivum) performance. The experiment was conducted in Queensland, Australia in 2024 to assess the potential for breeding pulse crops to enhance rotational benefits in cereal-based farming systems. The dataset includes measurements from 309 mungbean accessions in a mini-core diversity panel (biomass, NDRE and yield) and corresponding wheat performance data (yield, NDRE and grain protein) collected from a single wheat cultivar grown in the same plot locations following mungbean harvest. Molecular marker information for all mungbean genotypes is provided to enable haplotype mapping of genomic regions associated with both direct crop performance and rotational legacy traits. All phenotypic data include spatial experimental design variables (row, column, replicate)

Issued: 04 11 2025

Data time period: 2024 to 31 12 2024

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Agricultural, Veterinary and Food Sciences | Crop and Pasture Improvement (Incl. Selection and Breeding) | Crop and Pasture Production | eng |

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local : UQ:289097

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