ArticleFrontiers in plant science2017
Investigation of the Influence of Leaf Thickness on Canopy Reflectance and Physiological Traits in Upland and Pima Cotton Populations.
Article in Frontiers in plant science, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed.
- Unravelling the physiological and anatomical basis of divergent adaptations in cultivated and wild tomatoes.Journal of experimental botany · 2025Article
- Shade tolerance is associated with foliar adaptations, improved radiation use efficiency, and photosynthetic rate in rice.Scientific reports · 2025Article
- Can a Light Detection and Ranging (LiDAR) and Multispectral Sensor Discriminate Canopy Structure Changes Due to Pruning in Olive Growing? A Field Experimentation.Sensors (Basel, Switzerland) · 2024Article
- Response of photosynthesis, population physiological indexes, and yield of cotton in dry areas to the new technology of "dry sowing and wet emergence".Frontiers in plant science · 2024Article
- Proximal Active Optical Sensing Operational Improvement for Research Using the CropCircle ACS-470, Implications for Measurement of Normalized Difference Vegetation Index (NDVI).Sensors (Basel, Switzerland) · 2023Article
- A reinterpretation of the gap fraction of tree crowns from the perspectives of computer graphics and porous media theory.Frontiers in plant science · 2023Article
- Leaf thickness of barley: genetic dissection, candidate genes prediction and its relationship with yield-related traits.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2022Article
- Variations in mitragynine content in the naturally growing Kratom (Frontiers in plant science · 2022Article
Corrections and comments
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Authors and funding
11 authors.
Funding
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Abstract
Many systems for field-based, high-throughput phenotyping (FB-HTP) quantify and characterize the reflected radiation from the crop canopy to derive phenotypes, as well as infer plant function and health status. However, given the technology's nascent status, it remains unknown how biophysical and physiological properties of the plant canopy impact downstream interpretation and application of canopy reflectance data. In that light, we assessed relationships between leaf thickness and several canopy-associated traits, including normalized difference vegetation index (NDVI), which was collected via active reflectance sensors carried on a mobile FB-HTP system, carbon isotope discrimination (CID), and chlorophyll content. To investigate the relationships among traits, two distinct cotton populations, an upland (
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