An enhanced method to infer gas exchange function in peach trees having different canopy shapes based on canopy quantum flux absorption assessment

Functionality of training systems different in size, shape and geometry are primarily a function of their ability to intercept and distribute light effectively within the canopy. In peach, methodologies for a rapid and reliable assessment of such features are still lacking. In this study we propose a systemic approach that as unique data entry requires diurnal ground monitoring of the light-shadow windows of a tree canopy. Case studies for canopy shapes were a pyramid (triangle, Delayed Vase), a parallelogram (lozenge, Palmette) and a Y (Tatura trellis) chosen within a 3-year-old peach orchard. Canopy geometrical and structural parameters calculated from above and below canopy radiation readings taken at full canopy development include Silhouette (S) as sunlit canopy area projected orthogonal to the sunbeam, leaf layer index (LLI), canopy leaf projection coefficient computed orthogonal to sunbeam direction (K-J), instantaneous canopy photon influx (Q(CA)), instantaneous canopy intercepted photon flux in the 300-1100 nm waveband (Q(C)) and canopy photon influx capture efficiency (epsilon(QCA -> QC)). Whole-tree gas exchange was also continuously monitored for a week on each canopy shape to gain a direct measurement of canopy net assimilation rate (A(C)) and canopy transpiration rate (E-C). A positive Q(C) vs. A(C) correlation was shown by any canopy type, with r=0.93, 0.97 and 0.92 for triangle, lozenge and Y, respectively. By contrast, while Q(C) and E-C were weakly correlated in triangle and lozenge, a close positive correlation (r=0.87) was found between these two variables in Y. The Tatura trees also showed, regardless of timing of the day, the highest E-C/A(C), hence better water use efficiency. This study validates the hypothesis that a systemic assessment of canopy quantum flux absorption (Q(C)) leads to reliable prediction of actual net canopy photosynthetic rates paving the way to: (a) easier and faster evaluation of efficiency of canopy systems differing in size and shape and (b) simplification in whole-canopy photosynthetic models.