ArticleJournal of experimental botany2012
Leaf optical properties reflect variation in photosynthetic metabolism and its sensitivity to temperature.
Article in Journal of experimental botany, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 72 papers, 1 of them a synthesis that pooled it.
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Who cites it
72 citing papers in PubMed, 1 synthesis or guideline pooled it, 314 citations in OpenAlex.
- Quantitative analysis of efficacy and associated factors of calcium intake on bone mineral density in postmenopausal women.Osteoporosis international : a journal established as result of cooperation between the European Foundation for Osteoporosis and the National Osteoporosis Foundation of the USA · 2017Pooled it
- Unraveling plant phenotype to genotype associations with daily hyperspectral traits inPlant phenomics (Washington, D.C.) · 2026Article
- Generalizability and transferability of machine learning models using hyperspectral reflectance data for maize traits.Scientific reports · 2026Article
- Exploring prediction mechanisms for temperature-induced variation in maximum carboxylation rate from spectral reflectance across 450-850 nm in cucumber leaves.Photosynthetica · 2026Article
- Transferable spectral models for high-throughput estimation of winter wheat net photosynthetic rate: a cross-scale approach using leaf and UAV hyperspectral data.Frontiers in plant science · 2026Article
- Disentangling heritability and plasticity effects on Populus fremontii leaf reflectance across a temperature gradient.Oecologia · 2025Article
- High-Throughput Field Phenotyping Using Unmanned Aerial Vehicles (UAVs) for Rapid Estimation of Photosynthetic Traits.Plant phenomics (Washington, D.C.) · 2025Article
- Hyperspectral reflectance integrates key traits for predicting leaf metabolism.The New phytologist · 2025Article
- Exploring the Dependence of Spectral Properties on Canopy Temperature with Ground-Based Sensors: Implications for Synergies Between Remote-Sensing VSWIR and TIR Data.Sensors (Basel, Switzerland) · 2025Article
- From spectrum to yield: advances in crop photosynthesis with hyperspectral imaging.Photosynthetica · 2025Review
- Exploring natural genetic variation in photosynthesis-related traits of barley in the field.Journal of experimental botany · 2024Article
- Current and Near-Term Earth-Observing Environmental Satellites, Their Missions, Characteristics, Instruments, and Applications.Sensors (Basel, Switzerland) · 2024Review
- Hyperspectral imaging and artificial intelligence enhance remote phenotyping of grapevine rootstock influence on whole vine photosynthesis.Frontiers in plant science · 2024Article
- Deep learning-enabled exploration of global spectral features for photosynthetic capacity estimation.Frontiers in plant science · 2024Article
- Remote Sensing Techniques: Hyperspectral Imaging and Data Analysis.Methods in molecular biology (Clifton, N.J.) · 2024Article
- Tools for Measuring Photosynthesis at Different Scales.Methods in molecular biology (Clifton, N.J.) · 2024Article
- Non-Invasive Assessment, Classification, and Prediction of Biophysical Parameters Using Reflectance Hyperspectroscopy.Plants (Basel, Switzerland) · 2023Article
- High-throughput, dynamic, multi-dimensional: an expanding repertoire of plant respiration measurements.Plant physiology · 2023Article
- TSWIFT: Tower Spectrometer on Wheels for Investigating Frequent Timeseries for high-throughput phenotyping of vegetation physiology.Plant methods · 2023Article
- Hyperspectral Remote Sensing for Phenotyping the Physiological Drought Response of Common and Tepary Bean.Plant phenomics (Washington, D.C.) · 2023Article
12 more citing papers are in PubMed but not listed here.
Corrections and comments
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Authors and funding
4 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Researchers from a number of disciplines have long sought the ability to estimate the functional attributes of plant canopies, such as photosynthetic capacity, using remotely sensed data. To date, however, this goal has not been fully realized. In this study, fresh-leaf reflectance spectroscopy (λ=450-2500 nm) and a partial least-squares regression (PLSR) analysis were used to estimate key determinants of photosynthetic capacity-namely the maximum rates of RuBP carboxylation (V(cmax)) and regeneration (J(max))-measured with standard gas exchange techniques on leaves of trembling aspen and eastern cottonwood trees. The trees were grown across an array of glasshouse temperature regimes. The PLSR models yielded accurate and precise estimates of V(cmax) and J(max) within and across species and glasshouse temperatures. These predictions were developed using unique contributions from different spectral regions. Most of the wavelengths selected were correlated with known absorption features related to leaf water content, nitrogen concentration, internal structure, and/or photosynthetic enzymes. In a field application of our PLSR models, spectral reflectance data effectively captured the short-term temperature sensitivities of V(cmax) and J(max) in aspen foliage. These findings highlight a promising strategy for developing remote sensing methods to characterize dynamic, environmentally sensitive aspects of canopy photosynthetic metabolism at broad scales.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.