A general non-rectangular hyperbola equation for photosynthetic light response curve of rice at various leaf ages

Abstract

Photosynthetic light response (PLR) curves of leaves are usually fitted by non-rectangular hyperbola (NRH) equation, and those fitted NRH parameters may change with leaf aging. The objectives of this study were 1) to reveal the response of NRH parameters of rice leaves, light-saturated net photosynthetic rate ( P nmax ), quantum yield of assimilation ( φ ), dark respiration rate ( R d ) and convexity of the curve ( k ), to leaf age; and 2) to improve the performance of NRH equation in simulating the PLR curves for leaves at various ages. The PLR for rice leaves at ages of 3–53 days were measured, and the general NRH equation was developed by incorporating the relationship between NRH parameters and leaf age into the NRH equation. The results showed that the NRH parameters of P nmax , φ and R d increased rapidly to maximum at approximately 10 days and then declined linearly toward the age of 53 days. However, the value of k was not sensitive to leaf age. The general NRH equation can be used to simulate leaf PLR continuously along with leaf aging.

Light‐limited photosynthesis under energy‐saving film decreases eggplant yield

“…Spot measurements at 25°C leaf temperature and 500 μl/L CO 2 were also performed during Experiment 2 (n > 4) using the clear leaf cuvette under natural light conditions. The light response curve means were fitted using the following equation (Ögren & Evans, 1993;Xu et al, 2019).…”

Crop Management in Controlled Environment Agriculture (CEA) Systems Using Predictive Mathematical Models

“…This assumption for CQY and CUE constant behavior is not consistent with recent literature in which contrasting results on the topic are reported. For instance, in rice, Xu et al (2019) [39] observed a decline in photosynthetic rate, dark respiration and quantum yield according to leaf aging. In the latter study, both parameters rapidly increased to a maximum around 15 days, to linearly decline as a response to plant aging.…”

“…Thus, a constant CUE would indicate that plants always present a constant positive respiration rate and that changes in photosynthetic activity would determine limited variations in growth and respiration, both these scenarios being quite unlikely [36]. Many studies have found that changes in the respiration rate during the plant growth cycle are species/cultivar-specific and maintain similar trends as net photosynthesis [38,39,47]. Furthermore, the situation can be different for the same plant species under different environmental conditions.…”

“…Based on Equations (1)- (12), the three variables A, CQY, and CUE were reduced to the variable α = CUE•A•CQY and β = A•CQY. The developmental stages observed for CQY were then assumed to be valid also for α and β, i.e., under the assumption of functional similarity between the variables involved, as also suggested by other studies [36][37][38][39]. The key temporal parameters, explaining the different development for α and β, were set equal to those observed for CQY.…”

Modeling Light Response of Electron Transport Rate and Its Allocation for Ribulose Biphosphate Carboxylation and Oxygenation

“…By simulating light-response curves of photosynthesis ( A n –I curve), NH model has been widely used to obtain key photosynthetic characteristics (e.g., the maximum net photosynthetic rate, A nmax ; light compensation point when A n = 0, I c ; dark respiration rate, R d ) for various species under different environmental conditions (e.g., Ögren & Evans, 1993 ; Thornley, 1998 ; Ye, 2007 ; Aspinwall et al., 2011 ; dos Santos et al., 2013 ; Mayoral et al., 2015 ; Sun et al., 2015 ; Park et al., 2016 ; Quiroz et al., 2017 ; Yao et al., 2017 ; Xu et al., 2019 ; Yang et al., 2020 ; Ye et al., 2020 ). Significant difference between observed A nmax values and that estimated by NH model for various species has been widely reported (e.g., Chen et al., 2011 ; dos Santos et al., 2013 ; Lobo et al., 2014 ; Ogawa, 2015 ; Sun et al., 2015 ; Quiroz et al., 2017 ; Poirier-Pocovi et al., 2018 ; Ye et al., 2020 ).…”