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An integrated model for predicting maximum net photosynthetic rate of cocksfoot (Dactylis glomerata) leaves in silvopastoral systems
Authors:PL Peri  DJ Moot  DL McNeil
Institution:(1) Soil, Plant and Ecological Sciences Division, Lincoln University, Canterbury, New Zealand;(2) Universidad Nacional de la Patagonia Austral-INTA, cc 332, (, CP 9400 Río Gallegos, Santa Cruz, Argentina
Abstract:Net light-saturated photosynthetic rate (Amax) of field grown cocksfoot (Dactylis glomerata L.) leaves in a radiata pine (Pinus radiata D. Don) silvopastoral system (Canterbury, New Zealand) was measured at different times under severe shade (85–95 μmol m–2 s–1 photosynthetic photon flux density, PPFD) and in full sunlight (1900 μmol m–2 s–1 PPFD). The aim was to integrate individual functions for Amax against air temperature (2 to 37 oC), water status, expressed as pre-dawn leaf water potential (ψlp) (-0.01 to −1.6 MPa), herbage nitrogen (N) (1.5 to 5.9%), regrowth duration (20 to 60 days) and time under shade (1 to 180 min) into a multiplicative model. The highest Amax value obtained was 27.4 μmol CO2 m–2 s–1 in non-limiting conditions with full sunlight. This value was defined as standardised dimensionless Amaxs = 1 for comparison of factor effects. The canopy temperature of the cocksfoot sward was up to 7.4 oC cooler than air temperature for plants under shade. Therefore, canopy temperature was used to predict Amax. The only interaction was between time under severe shade (5% of the open PPFD) and water stress (ψlp = −0.4 to −1.3 MPa) and this was included in the model. Validation of this model indicated 78% of the variation in Amax could be accounted for using these five factors by the addition of the interaction function. This model could be used to assist the prediction of pasture growth in silvopastoral systems through incorporation into a canopy photosynthesis model. This revised version was published online in June 2006 with corrections to the Cover Date.
Keywords:Moisture stress  Modelling  Non-stomatal limitation  Stomatal conductance
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