Source:sink imbalance detected with leaf and canopy-level spectroscopy in a field-grown crop
Abstract
Abstract The finely tuned balance between sources and sinks determines plant resource partitioning and regulates growth and development. Understanding and measuring metabolic indicators of source or sink limitation forms a vital part of global efforts to increase crop yield for future food security. We measured metabolic profiles of Cucurbita pepo (zucchini) grown in the field under carbon sink limitation and control conditions. We demonstrate that these profiles can be measured non‐destructively using hyperspectral reflectance at both leaf and canopy scales. Total non‐structural carbohydrates (TNC) increased 82% in sink‐limited plants; leaf mass per unit area (LMA) increased 38% and free amino acids increased 22%. Partial least‐squares regression (PLSR) models link these measured functional traits with reflectance data, enabling high‐throughput estimation of traits comprising the sink limitation response. Leaf‐ and canopy‐scale models for TNC had R 2 values of 0.93 and 0.64 and %RMSE of 13 and 38%, respectively. For LMA, R 2 values were 0.91 and 0.60 and %RMSE 7 and 14%; for free amino acids, R 2 was 0.53 and 0.21 with %RMSE 20 and 26%. Remote sensing can enable accurate, rapid detection of sink limitation in the field at the leaf and canopy scale, greatly expanding our ability tomore »
- Authors:
-
- Brookhaven National Lab. (BNL), Upton, NY (United States)
- Publication Date:
- Research Org.:
- Brookhaven National Laboratory (BNL), Upton, NY (United States)
- Sponsoring Org.:
- USDOE Laboratory Directed Research and Development (LDRD) Program
- OSTI Identifier:
- 1773145
- Alternate Identifier(s):
- OSTI ID: 1779357
- Report Number(s):
- BNL-221213-2021-JAAM
Journal ID: ISSN 0140-7791
- Grant/Contract Number:
- SC0012704; DE‐SC0012704
- Resource Type:
- Accepted Manuscript
- Journal Name:
- Plant, Cell and Environment
- Additional Journal Information:
- Journal Volume: 44; Journal Issue: 8; Journal ID: ISSN 0140-7791
- Publisher:
- Wiley
- Country of Publication:
- United States
- Language:
- English
- Subject:
- 54 ENVIRONMENTAL SCIENCES; Cucurbita pepo; food security; growth; development; remote sensing; metabolic profiles; carbohydrates
Citation Formats
Burnett, Angela C., Serbin, Shawn P., and Rogers, Alistair. Source:sink imbalance detected with leaf and canopy-level spectroscopy in a field-grown crop. United States: N. p., 2021.
Web. doi:10.1111/pce.14056.
Burnett, Angela C., Serbin, Shawn P., & Rogers, Alistair. Source:sink imbalance detected with leaf and canopy-level spectroscopy in a field-grown crop. United States. https://doi.org/10.1111/pce.14056
Burnett, Angela C., Serbin, Shawn P., and Rogers, Alistair. Thu .
"Source:sink imbalance detected with leaf and canopy-level spectroscopy in a field-grown crop". United States. https://doi.org/10.1111/pce.14056. https://www.osti.gov/servlets/purl/1773145.
@article{osti_1773145,
title = {Source:sink imbalance detected with leaf and canopy-level spectroscopy in a field-grown crop},
author = {Burnett, Angela C. and Serbin, Shawn P. and Rogers, Alistair},
abstractNote = {Abstract The finely tuned balance between sources and sinks determines plant resource partitioning and regulates growth and development. Understanding and measuring metabolic indicators of source or sink limitation forms a vital part of global efforts to increase crop yield for future food security. We measured metabolic profiles of Cucurbita pepo (zucchini) grown in the field under carbon sink limitation and control conditions. We demonstrate that these profiles can be measured non‐destructively using hyperspectral reflectance at both leaf and canopy scales. Total non‐structural carbohydrates (TNC) increased 82% in sink‐limited plants; leaf mass per unit area (LMA) increased 38% and free amino acids increased 22%. Partial least‐squares regression (PLSR) models link these measured functional traits with reflectance data, enabling high‐throughput estimation of traits comprising the sink limitation response. Leaf‐ and canopy‐scale models for TNC had R 2 values of 0.93 and 0.64 and %RMSE of 13 and 38%, respectively. For LMA, R 2 values were 0.91 and 0.60 and %RMSE 7 and 14%; for free amino acids, R 2 was 0.53 and 0.21 with %RMSE 20 and 26%. Remote sensing can enable accurate, rapid detection of sink limitation in the field at the leaf and canopy scale, greatly expanding our ability to understand and measure metabolic responses to stress.},
doi = {10.1111/pce.14056},
journal = {Plant, Cell and Environment},
number = 8,
volume = 44,
place = {United States},
year = {Thu Mar 25 00:00:00 EDT 2021},
month = {Thu Mar 25 00:00:00 EDT 2021}
}
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