Type
Date
Corporate author
Editor
Illustrator
Producer
Photographer
Contributor
Writer
Translator
Journal Title
Journal ISSN
Volume Title
Access Rights
APA citation
Robles-Zazueta, C. A., Molero, G., Pinto, F., Foulkes, M. J., Reynolds, M., & Murchie, E. H. (2021). Field-based remote sensing models predict radiation use efficiency in wheat. Journal of Experimental Botany, 72(10), 3756–3773. https://doi.org/10.1093/jxb/erab115
ISO citation
Abstract
Description
Wheat yields are stagnating or declining in many regions, requiring efforts to improve the light conversion efficiency, known as radiation use efficiency (RUE). RUE is a key trait in plant physiology because it links light capture and primary metabolism with biomass accumulation and yield, but its measurement is time consuming and this has limited its use in fundamental research and large-scale physiological breeding. In this study, high-throughput plant phenotyping (HTPP) approaches were used among a population of field-grown wheat with variation in RUE and photosynthetic traits to build predictive models of RUE, biomass, and intercepted photosynthetically active radiation (IPAR). Three approaches were used: best combination of sensors; canopy vegetation indices; and partial least squares regression. The use of remote sensing models predicted RUE with up to 70% accuracy compared with ground truth data. Water indices and canopy greenness indices [normalized difference vegetation index (NDVI), enhanced vegetation index (EVI)] are the better option to predict RUE, biomass, and IPAR, and indices related to gas exchange, non-photochemical quenching [photochemical reflectance index (PRI)] and senescence [structural-insensitive pigment index (SIPI)] are better predictors for these traits at the vegetative and grain-filling stages, respectively. These models will be instrumental to explain canopy processes, improve crop growth and yield modelling, and potentially be used to predict RUE in different crops or ecosystems.
Keywords
Citation
Copyright
CIMMYT manages Intellectual Assets as International Public Goods. The user is free to download, print, store and share this work. In case you want to translate or create any other derivative work and share or distribute such translation/derivative work, please contact CIMMYT-Knowledge-Center@cgiar.org indicating the work you want to use and the kind of use you intend; CIMMYT will contact you with the suitable license for that purpose
Journal
Journal of Experimental Botany
Journal volume
72
Journal issue
10
Article number
Place of Publication
Oxford (United Kingdom)
Publisher
Oxford University Press