Quantum yield for sun-induced chlorophyll fluorescence (ΦF) captures rice plant dynamics under interplant competition

Abstract

Planting density and leaf angle are important factors related to rice growth and yield through interplant competition. Despite the necessity of understanding the dynamics of interplant competition according to planting density and leaf angle, detailed physiological changes throughout the growth cycle remain less clear due to the requirement for field surveys that are labor-intensive and time-consuming. Sun-induced chlorophyll fluorescence and its physiological quantum yield (Φ_F) have shown its capability for plant physiological investigations and can provide new opportunities for improved monitoring of crop physiological dynamics. However, it is uncertain whether Φ_F can quantify the impact of agronomic differences on the vegetative and reproductive growth of crops. In this study, we aim to explore whether Φ_F can quantify physiological dynamics in rice of different leaf angle distributions under varying planting density levels. We conducted an experiment of four different planting densities ($11.2\times {10}^4$, $15.2\times {10}^4$,$18.2\times {10}^4$, $24.2\times {10}^4$ hills/ha) with two cultivars of different leaf angle distributions (i.e., erectophile and semi-erectophile leaf angle distribution) in a rice paddy. We measured Φ_F and collected agronomic data to monitor plant physiological and structural changes. Φ_F quantified the downregulation of photosynthetic activity at higher planting density plots during the vegetative growth period (a significant correlation between Φ_F and rate of LAI increase, R² = 0.62, p-value<0.05) and indicated differences in grain yield, which was dominantly driven by the limited carbon sink (a significant correlation between Φ_F and yield, R² = 0.44, p-value<0.1). Particularly, Φ_F showed different patterns of the planting density impact on yield between the two cultivars confirming the effect of leaf angle distribution on the interplant competition or the light. Our findings showed that Φ_F not only captures the difference in vegetative growth but also in reproductive growth and grain yield. This study demonstrated the importance of Φ_F for physiological investigations in agroecosystems and the potential for estimating crop productivity during the grain-filling stage as well as for improved crop yield estimation.