Data

Response curves of leaf photosynthesis to intercellular CO2 concentration and irradiance

The University of Queensland
Dr Alex Wu (Aggregated by) Dr Alex Wu (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/edaaa83&rft.title=Response curves of leaf photosynthesis to intercellular CO2 concentration and irradiance&rft.identifier=RDM ID: 1b4e213b-bb45-45fb-9bc5-796e54a58711&rft.publisher=The University of Queensland&rft.description=This dataset contains response curves of leaf photosynthesis to intercellular CO2 concentration (ACi curves) and irradiance (AI curves) measured on ten C4 crop genotypes. Gas-exchange measurements were conducted using LI6400/6800 portable photosynthesis systems under controlled leaf chamber conditions to quantify leaf photosynthetic responses across a range of CO2 concentrations and irradiance.The dataset is structured for Bayesian fitting using a C4 biochemical photosynthesis model (https://github.com/Xia-Jin55/Bayesian-C4-photosynthesis) for estimating photosynthetic coefficients (epsilon, Jmax, Vcmax, Vpmax and Rd).&rft.creator=Dr Alex Wu&rft.creator=Dr Alex Wu&rft.date=2026&rft_rights= http://guides.library.uq.edu.au/deposit_your_data/terms_and_conditions&rft_subject=eng&rft_subject=Crop and pasture biochemistry and physiology&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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[email protected]
Queensland Alliance for Agriculture and Food Innovation

Full description

This dataset contains response curves of leaf photosynthesis to intercellular CO2 concentration (ACi curves) and irradiance (AI curves) measured on ten C4 crop genotypes. Gas-exchange measurements were conducted using LI6400/6800 portable photosynthesis systems under controlled leaf chamber conditions to quantify leaf photosynthetic responses across a range of CO2 concentrations and irradiance.The dataset is structured for Bayesian fitting using a C4 biochemical photosynthesis model (https://github.com/Xia-Jin55/Bayesian-C4-photosynthesis) for estimating photosynthetic coefficients (epsilon, Jmax, Vcmax, Vpmax and Rd).

Issued: 06 01 2026

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Subjects
Agricultural, Veterinary and Food Sciences | Crop and Pasture Biochemistry and Physiology | Crop and Pasture Production | eng |

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Identifiers
ACN 633 798 857