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Title: Robust phenotyping strategies for evaluation of stem non-structural carbohydrates (NSC) in rice

Abstract

Rice plants ( Oryza sativa) accumulate excess photoassimilates in the form of non-structural carbohydrates (NSCs) in their stems prior to heading that can later be mobilized to supplement photosynthate production during grain-filling. Despite longstanding interest in stem NSC for rice improvement, the dynamics of NSC accumulation, remobilization, and re-accumulation that have genetic potential for optimization have not been systematically investigated. Here we conducted three pilot experiments to lay the groundwork for large-scale diversity studies on rice stem NSC. We assessed the relationship of stem NSC components with 21 agronomic traits in large-scale, tropical yield trials using 33 breeder-nominated lines, established an appropriate experimental design for future genetic studies using a Bayesian framework to sample sub-datasets from highly replicated greenhouse data using 36 genetically diverse genotypes, and used 434 phenotypically divergent rice stem samples to develop two partial least-squares (PLS) models using near-infrared (NIR) spectra for accurate, rapid prediction of rice stem starch, sucrose, and total non-structural carbohydrates. Lastly, we find evidence that stem reserves are most critical for short-duration varieties and suggest that pre-heading stem NSC is worthy of further experimentation for breeding early maturing rice.

Authors:
 [1];  [2];  [3];  [4];  [5];  [1]
  1. Cornell Univ., Ithaca, NY (United States)
  2. National Renewable Energy Lab. (NREL), Golden, CO (United States)
  3. International Center for Tropical Agriculture, Cali (Columbia)
  4. International Rice Research Institute, Laguna (Philippines)
  5. Bayesic Research, Ithaca, NY (United States)
Publication Date:
Research Org.:
National Renewable Energy Lab. (NREL), Golden, CO (United States)
Sponsoring Org.:
USDOE Office of Energy Efficiency and Renewable Energy (EERE)
OSTI Identifier:
1332178
Report Number(s):
NREL/JA-5100-67277
Journal ID: ISSN 0022-0957
Grant/Contract Number:  
AC36-08GO28308
Resource Type:
Accepted Manuscript
Journal Name:
Journal of Experimental Botany
Additional Journal Information:
Journal Volume: 67; Journal Issue: 21; Journal ID: ISSN 0022-0957
Publisher:
Oxford University Press
Country of Publication:
United States
Language:
English
Subject:
59 BASIC BIOLOGICAL SCIENCES; near-infrared spectroscopy; non-structural carbohydrates; Oryza sativa; partial least-squares; replication; yield potential

Citation Formats

Wang, Diane R., Wolfrum, Edward J., Virk, Parminder, Ismail, Abdelbagi, Greenberg, Anthony J., and McCouch, Susan R. Robust phenotyping strategies for evaluation of stem non-structural carbohydrates (NSC) in rice. United States: N. p., 2016. Web. doi:10.1093/jxb/erw375.
Wang, Diane R., Wolfrum, Edward J., Virk, Parminder, Ismail, Abdelbagi, Greenberg, Anthony J., & McCouch, Susan R. Robust phenotyping strategies for evaluation of stem non-structural carbohydrates (NSC) in rice. United States. doi:10.1093/jxb/erw375.
Wang, Diane R., Wolfrum, Edward J., Virk, Parminder, Ismail, Abdelbagi, Greenberg, Anthony J., and McCouch, Susan R. Wed . "Robust phenotyping strategies for evaluation of stem non-structural carbohydrates (NSC) in rice". United States. doi:10.1093/jxb/erw375. https://www.osti.gov/servlets/purl/1332178.
@article{osti_1332178,
title = {Robust phenotyping strategies for evaluation of stem non-structural carbohydrates (NSC) in rice},
author = {Wang, Diane R. and Wolfrum, Edward J. and Virk, Parminder and Ismail, Abdelbagi and Greenberg, Anthony J. and McCouch, Susan R.},
abstractNote = {Rice plants (Oryza sativa) accumulate excess photoassimilates in the form of non-structural carbohydrates (NSCs) in their stems prior to heading that can later be mobilized to supplement photosynthate production during grain-filling. Despite longstanding interest in stem NSC for rice improvement, the dynamics of NSC accumulation, remobilization, and re-accumulation that have genetic potential for optimization have not been systematically investigated. Here we conducted three pilot experiments to lay the groundwork for large-scale diversity studies on rice stem NSC. We assessed the relationship of stem NSC components with 21 agronomic traits in large-scale, tropical yield trials using 33 breeder-nominated lines, established an appropriate experimental design for future genetic studies using a Bayesian framework to sample sub-datasets from highly replicated greenhouse data using 36 genetically diverse genotypes, and used 434 phenotypically divergent rice stem samples to develop two partial least-squares (PLS) models using near-infrared (NIR) spectra for accurate, rapid prediction of rice stem starch, sucrose, and total non-structural carbohydrates. Lastly, we find evidence that stem reserves are most critical for short-duration varieties and suggest that pre-heading stem NSC is worthy of further experimentation for breeding early maturing rice.},
doi = {10.1093/jxb/erw375},
journal = {Journal of Experimental Botany},
number = 21,
volume = 67,
place = {United States},
year = {2016},
month = {10}
}

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