The photosynthesis process is determined by the intensity level and spectral quality of the light; therefore, leaves need to adapt to a changing environment. The incident energy absorbed can exceed the sink capability of the photosystems, and, in this context, photoinhibition may occur in both photosystem II (PSII) and photosystem I (PSI). Quantum yield parameters analyses reveal how the energy is managed. These parameters are genotype-dependent, and this genotypic variability is a good opportunity to apply mapping association strategies to identify genomic regions associated with photosynthesis energy partitioning. An experimental and mathematical approach is proposed for the determination of an index which estimates the energy per photon flux for each spectral bandwidth (Δ_λ) of the light incident (QI index). Based on the QI, the spectral quality of the plant growth, environmental lighting, and the actinic light of PAM were quantitatively very similar which allowed an accurate phenotyping strategy of a rice population. A total of 143 genomic single regions associated with at least one trait of chlorophyll fluorescence were identified. Moreover, chromosome 5 gathers most of these regions indicating the importance of this chromosome in the genetic regulation of the photochemistry process. Through a GWAS strategy, 32 genes of rice genome associated with the main parameters of the photochemistry process of photosynthesis in rice were identified. Association between light-harvesting complexes and the potential quantum yield of PSII, as well as the relationship between coding regions for PSI-linked proteins in energy distribution during the photochemical process of photosynthesis is analyzed.

光合作用过程由光的强度水平和光谱质量决定；因此，树叶需要适应不断变化的环境。吸收的入射能量可能超过光系统的吸收能力，在这种情况下，光系统 II (PSII) 和光系统 I (PSI) 都可能发生光抑制。量子产率参数分析揭示了能量是如何管理的。这些参数是基因型依赖性的，这种基因型变异性是应用映射关联策略来识别与光合作用能量分配相关的基因组区域的好机会。提出了一种实验和数学方法来确定一个指数，该指数估计每个光谱带宽的每个光子通量的能量（_Δλ) 的光入射 (QI 指数)。基于 QI，植物生长的光谱质量、环境照明和 PAM 的光化光在数量上非常相似，从而可以对水稻种群进行准确的表型分析。共鉴定出与至少一种叶绿素荧光性状相关的 143 个基因组单个区域。此外，5 号染色体聚集了大部分这些区域，这表明该染色体在光化学过程的遗传调控中的重要性。通过GWAS策略，鉴定了与水稻光合作用光化学过程主要参数相关的32个水稻基因组基因。光捕获复合物与 PSII 的潜在量子产率之间的关联，