An improved approach for measuring the impact of multiple CO2 conductances on the apparent photorespiratory CO2 compensation point through slope-intercept regression.
Biochemical models of leaf photosynthesis, which are essential for understanding the impact of photosynthesis to changing environments, depend on accurate parameterizations. One such parameter, the photorespiratory CO2 compensation point can be measured from the intersection of several CO2 response curves measured under sub-saturating illumination. However, determining the actual intersection while accounting for experimental noise can be challenging. Additionally, leaf photosynthesis model outcomes are sensitive to the diffusion paths of CO2 released from the mitochondria. This diffusion path of CO2 includes both chloroplastic as well as cell wall resistances to CO2 , which are not readily measurable. Both the difficulties of determining the photorespiratory CO2 compensation point and the impact of multiple intercellular resistances to CO2 can be addressed through application of slope-intercept regression. This technical report summarizes an improved framework for implementing slope-intercept regression to evaluate measurements of the photorespiratory CO2 compensation point. This approach extends past work to include the cases of both Rubisco and Ribulose-1,5-bisphosphate (RuBP)-limited photosynthesis. This report further presents two interactive graphical applications and a spreadsheet-based tool to allow users to apply slope-intercept theory to their data.
Global Change and Photosynthesis Research Unit, USDA/ARS, Urbana, IL, 61801, USA.|Carl R. Woese Institute for Genomic Biology, University of Illinois, Urbana, IL, 61801, USA.
Berkley J
BJ
Walker
Department of Mathematics, University of Illinois, Urbana, IL, 61801, USA.
Dane C
DC
Skabelund
Research School of Biology, The Australian National University, Canberra, ACT, 2601, Australia.
Florian A
FA
Busch
Global Change and Photosynthesis Research Unit, USDA/ARS, Urbana, IL, 61801, USA.|Carl R. Woese Institute for Genomic Biology, University of Illinois, Urbana, IL, 61801, USA.|Department of Plant Biology, University of Illinois, Urbana, IL, 61801, USA.
Donald R
DR
Ort
D002245:Carbon Dioxide / Q000378:metabolism*; D003627:Data Interpretation, Statistical; D008954:Models, Biological; D010788:Photosynthesis / Q000502:physiology*; D018515:Plant Leaves / Q000378:metabolism / Q000502:physiology; D018521:Plant Physiological Phenomena; D010944:Plants / Q000378:metabolism; D012984:Software
D002245:Carbon Dioxide
FvCB photosynthesis model; mesophyll conductance; photosynthesis