Data

Field-based root phenotype data for bread wheat intro-selection lines - raw and pre-processed data

The University of Queensland
Dr Samir Alahmad (Aggregated by) Dr Samir Alahmad (Aggregated by) Dr Yichen Kang (Aggregated by) Professor Lee Hickey (Aggregated by) Professor Lee Hickey (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:doi10.48610/9c3b35d&rft.title=Field-based root phenotype data for bread wheat intro-selection lines - raw and pre-processed data&rft.identifier=RDM ID: b99ed810-24f0-11ee-88a4-492df7e689be&rft.publisher=The University of Queensland&rft.description=A total of 11 x BC2F4:F5 bread wheat intro-selection lines were generated in each of four genetic backgrounds (i.e. Borlaug100, Kingbird, Mace and Suntop). The intro-selection lines and recurrent parents were subjected to field-based root phenotyping at Gatton Research Farm, Queensland, Australia (27°32'34S; 152°19'59E) in 2021. Lines were evaluated in full-sized plots (1.52m wide x 6m long) and the design for this experiment followed a row-column split-plot design with destructive and non-destructive treatments to enable destructive root coring at flowering (4 reps destructive and 4 reps non-destructive). Field-based root phenotyping was performed using the core-break method. To accommodate logistics for root coring, the entire canopy of the destructive plots was mulched at flowering time. Root phenotyping involved careful removal of intact soil cores, breaking each core into 10cm intervals and visual counting of the number of roots visible on each surface of the break. To account for within-plot variability, four cores were sampled per plot from the two inner and intra rows of the ‘destructive’ plots. The raw root count data is provided along with pre-processed traits (shallowRC, deepRC, midRC, totalRC and D95) including the lower and upper intervals.&rft.creator=Dr Samir Alahmad&rft.creator=Dr Samir Alahmad&rft.creator=Dr Yichen Kang&rft.creator=Professor Lee Hickey&rft.creator=Professor Lee Hickey&rft.date=2023&rft_rights= http://guides.library.uq.edu.au/deposit_your_data/terms_and_conditions&rft_subject=eng&rft_subject=Root phenotyping&rft_subject=Bread wheat&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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l.hickey@uq.edu.au
Queensland Alliance for Agriculture and Food Innovation

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A total of 11 x BC2F4:F5 bread wheat intro-selection lines were generated in each of four genetic backgrounds (i.e. Borlaug100, Kingbird, Mace and Suntop). The intro-selection lines and recurrent parents were subjected to field-based root phenotyping at Gatton Research Farm, Queensland, Australia (27°32'34"S; 152°19'59"E) in 2021. Lines were evaluated in full-sized plots (1.52m wide x 6m long) and the design for this experiment followed a row-column split-plot design with destructive and non-destructive treatments to enable destructive root coring at flowering (4 reps destructive and 4 reps non-destructive). Field-based root phenotyping was performed using the core-break method. To accommodate logistics for root coring, the entire canopy of the destructive plots was mulched at flowering time. Root phenotyping involved careful removal of intact soil cores, breaking each core into 10cm intervals and visual counting of the number of roots visible on each surface of the break. To account for within-plot variability, four cores were sampled per plot from the two inner and intra rows of the ‘destructive’ plots. The raw root count data is provided along with pre-processed traits (shallowRC, deepRC, midRC, totalRC and D95) including the lower and upper intervals.

Issued: 2023

Data time period: 2019 to 2022

Data time period: Data collected from: 2019-01-01T00:00:00Z
Data collected to: 2022-01-01T00:00:00Z

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Subjects
Agricultural, Veterinary and Food Sciences | Bread wheat | Crop and Pasture Improvement (Incl. Selection and Breeding) | Crop and Pasture Production | Root phenotyping | eng |

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local : UQ:289097

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local : UQ:06510ce

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