Estimating photosynthetic electron transport via chlorophyll fluorometry without Photosystem II light saturation

Estimates of thylakoid electron transport rates (J_e) from chlorophyll fluorometry are often used in combination with leaf gas exchange measurements to provide detailed information about photosynthetic activity of leaves in situ. Estimating J_e requires accurate determination of the quantum efficiency of Photosystem II (Φ_P), which in turn requires momentary light saturation of the Photosystem II light harvesting complex to induce the maximum fluorescence signal (F_M′). In practice, full saturation is often difficult to achieve, especially when incident photosynthetic photon flux density (Q) is high and energy is effectively dissipated by non-photochemical quenching. In the present work, a method for estimating the true F_M′ under high Q was developed, using multiple light pulses of varying intensity (Q′). The form of the expected relationship between the apparent F_M′ and Q′ was derived from theoretical considerations. This allowed the true F_M′ at infinite Q′ to be estimated from linear regression. Using a commercially available leaf gas exchange/ chlorophyll fluorescence measurement system, J_e was compared to gross photosynthetic CO₂ assimilation (A_G) under conditions where the relationship between J_e and A_G was expected to be linear. Both in C₄ leaves (Zea mays) in ambient air and also in C₃ leaves (Gossypium hirsutum) under non-photorespiratory conditions the apparent ratio between J_e and A_G declined at high Q when Φ_P was calculated from F_M′ measured simply using the highest available saturating pulse intensity. When F_M′ was determined using the multiple pulse / linear regression technique, the expected relationship between J_e and A_G at high Q was restored, indicating that the Φ_P estimate was improved. This method of determining F_M′ should prove useful for verifying when saturating pulse intensities are sufficient, and for accurately determining Φ_P when they are not. This revised version was published online in June 2006 with corrections to the Cover Date.