Optimized Leaf Morphology and Delayed Senescence Boost Rice Yield via Enhanced Leaf and Canopy Photosynthesis
Abstract
Four Modern hybrid and four japonica rice varieties differing in biomass, yield, and daily biomass production rate during the grain-filling period (DBP GF ) were used to reveal the eco-physiological photosynthetic characteristics of high-yield and high-efficiency rice. Varietal differences were analyzed in leaf and canopy photosynthetic parameters, associated leaf morphological and anatomical traits (e.g., stomatal density, vein density, mesophyll cell arrangement), as well as differences in canopy light interception and leaf area index, and their effects on yield and biomass accumulation. Hybrid rice with yield higher than 10.5 t/hm 2 and DBP GF higher than 200 kg/(hm 2 ·d), and japonica rice with yield higher than 9.0 t/hm 2 and DBP GF higher than 200 kg/(hm 2 ·d) were classified as high-yield and high-efficiency varieties; the other varieties were considered general varieties. According to this standard, two hybrid and two japonica varieties were categorized as high-yield and high-efficiency types, while the remaining two hybrid and two japonica varieties were classified as general types. Results indicated that high-yield and high-efficiency varieties generally have higher leaf and canopy photosynthesis, superior leaf stomatal, vascular, and mesophyll structures that facilitate CO 2 diffusion and hydraulic transport, higher canopy light transmittance, and slower leaf area attenuation. Rice yield and biomass were positively correlated with photosynthetic parameters and closely linked to associated photosynthetic traits. Efficient rice production attributed to coordinated improvements in leaf structure, canopy architecture, and delayed leaf area attenuation. This study provides important theoretical guidance for breeding high-efficiency rice varieties.
Fields of Study & Subjects
Rice Cultivation and Yield Improvement
Plant responses to water stress
Remote Sensing in Agriculture
Publication details
- Journal / source
- Rice Science
- Publisher
- Elsevier BV
- Volume
- 33
- Issue
- 2
- Pages
- 245–259
- Publication date
- 14 January 2026
- Language
- EN