Certain species in the Brassicaceae family exhibit high photosynthesis rates, potentially providing a valuable route toward improving agricultural productivity. However, factors contributing to their high photosynthesis rates are still unknown. We compared Hirschfeldia incana, Brassica nigra, Brassica rapa and Arabidopsis thaliana, grown under two contrasting light intensities. Hirschfeldia incana matched B. nigra and B. rapa in achieving very high photosynthesis rates under high growth-light condition, outperforming A. thaliana. Photosynthesis was relatively more limited by maximum photosynthesis capacity in H. incana and B. rapa and by mesophyll conductance in A. thaliana and B. nigra. Leaf traits such as greater exposed mesophyll specific surface enabled by thicker leaf or high-density small palisade cells contributed to the variation in mesophyll conductance among the species. The species exhibited contrasting leaf construction strategies and acclimation responses to low light intensity. High-light plants distributed Chl deeper in leaf tissue, ensuring even distribution of photosynthesis capacity, unlike low-light plants. Leaf anatomy of H. incana, B. nigra and B. rapa facilitated effective CO diffusion, efficient light use and provided ample volume for their high maximum photosynthetic capacity, indicating that a combination of adaptations is required to increase CO-assimilation rates in plants.
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http://dx.doi.org/10.1111/nph.20136 | DOI Listing |
Mol Breed
January 2025
Maize Research Institute, Guangxi Academy of Agricultural Sciences, Nanning, 530007 Guangxi China.
Unlabelled: Increasing planting density is one of the most important strategies for generating higher maize yields. Moderate leaf rolling decreases mutual shading of leaves and increases the photosynthesis of the population and hence increases the tolerance for high-density planting. Few genes that control leaf rolling in maize have been identified, however, and their applicability for breeding programs remains unclear.
View Article and Find Full Text PDFInorg Chem
January 2025
Henan Key Laboratory of Polyoxometalate Chemistry, College of Chemistry and Molecular Sciences, Henan University, Kaifeng, Henan 475004, China.
Revealing the design and synthesis of precisely tailored crystalline catalysts for achieving efficient photocatalytic conversion of styrene into high-value-added products remains a challenging task. In this work, a highly stable crystalline polyoxovanadate functionalized by the dl-tartaric acid ligand H[VO(HO)(tart)]·HO [, tart = CHO] was successfully synthesized by conventional aqueous solution methods. The photocatalytic performance was evaluated for the photosynthesis of styrene oxide by employing an oxygen source as the oxidant in the visible light (>420 nm) conditions at room temperature with compound as a heterogeneous catalyst.
View Article and Find Full Text PDFGlobal Biogeochem Cycles
January 2025
Heat and drought events are increasing in frequency and intensity, posing significant risks to natural and agricultural ecosystems with uncertain effects on the net ecosystem CO exchange (NEE). The current Vegetation Photosynthesis and Respiration Model (VPRM) was adjusted to include soil moisture impacts on the gross ecosystem exchange (GEE) and respiration ( ) fluxes to assess the temporal variability of NEE over south-western Europe for 2001-2022. Warming temperatures lengthen growing seasons, causing an increase in GEE, which is mostly compensated by a similar increment in .
View Article and Find Full Text PDFFront Plant Sci
December 2024
School of Surveying and Land Information Engineering, Henan Polytechnic University, Jiaozuo, China.
Introduction: In the context of climate variability, rapid and accurate estimation of winter wheat yield is essential for agricultural policymaking and food security. With advancements in remote sensing technology and deep learning, methods utilizing remotely sensed data are increasingly being employed for large-scale crop growth monitoring and yield estimation.
Methods: Solar-induced chlorophyll fluorescence (SIF) is a new remote sensing metric that is closely linked to crop photosynthesis and has been applied to crop growth and drought monitoring.
Plant Cell Environ
January 2025
State Key Laboratory of Herbage Improvement and Grassland Agro-ecosystems, College of Ecology, Lanzhou University, Lanzhou, China.
Functional redundancy is considered a pivotal mechanism for maintaining the adaptability of species by preventing the loss of key functions in response to dehydration. However, we still lack a comprehensive understanding of the redundancy of leaf hydraulic systems along aridity gradients. Here, photosynthesis (A), stomatal conductance (g) and leaf hydraulic conductance (K) during dehydration were measured in 20 woody species from a range of aridity index (AI) conditions and growing in a common garden to quantify stomatal redundancy (SR), the extent of stomatal opening beyond the optimum required for maximum photosynthesis (A), leaf hydraulic redundancy (HR), and the extent of leaf hydraulic conductance (K) beyond the optimum required for maximum g (g).
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