Can exploiting natural genetic variation in leaf photosynthesis contribute to increasing rice productivity? A simulation analysis

• Published in: Plant, cell and environment Vol. 37; no. 1; pp. 22 - 34
• Main Authors: GU, JUNFEI, YIN, XINYOU, STOMPH, TJEERD‐JAN, STRUIK, PAUL C.
• Format: Journal Article
• Language: English
• Published: Oxford Blackwell 01.01.2014; Wiley Subscription Services, Inc
• Subjects: Biological and medical sciences; Biomass; Biotechnology; canopy photosynthesis; co2 assimilation; Computer Simulation; critical-appraisal; crop model; Crop production; Crop yield; crop yields; Fundamental and applied biological sciences. Psychology; GECROS; Gene mapping; Genetic diversity; Genetic Variation; Genotype; introgression lines; leaves; Light; Models, Biological; Oryza - genetics; Oryza - growth & development; Oryza - physiology; Oryza sativa; Oryza sativa L; Photosynthesis; Photosynthesis - genetics; physiological traits; Plant Leaves - genetics; Plant Leaves - growth & development; Plant Leaves - physiology; plant-growth; Quantitative Trait Loci; Rice; rubisco; Simulation analysis; Productivity; Monocotyledones; Genetic variability; GECROS; Plant ecology; Oryza sativa L; Plant leaf; Natural; Modeling; canopy photosynthesis; Cereal crop; Oryza sativa; crop model; Simulation; Gramineae; Analysis; Angiospermae; Spermatophyta; Cultivated plant; Photosynthesis; Canopy(vegetation); Oryza sativa L

Rice productivity can be limited by available photosynthetic assimilates from leaves. However, the lack of significant correlation between crop yield and leaf photosynthetic rate (A) is noted frequently. Engineering for improved leaf photosynthesis has been argued to yield little increase in crop pr...