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Thermal Imaging Reliability for Estimating Grain Yield and Carbon Isotope Discrimination in Wheat Genotypes: Importance of the Environmental Conditions

Canopy temperature (Tc) by thermal imaging is a useful tool to study plant water status and estimate other crop traits. This work seeks to estimate grain yield (GY) and carbon discrimination (Δ(13)C) from stress degree day (SDD = Tc − air temperature, Ta), considering the effect of a number of envir...

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Detalles Bibliográficos
Autores principales: Romero-Bravo, Sebastián, Méndez-Espinoza, Ana María, Garriga, Miguel, Estrada, Félix, Escobar, Alejandro, González-Martinez, Luis, Poblete-Echeverría, Carlos, Sepulveda, Daniel, Matus, Ivan, Castillo, Dalma, del Pozo, Alejandro, Lobos, Gustavo A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6630921/
https://www.ncbi.nlm.nih.gov/pubmed/31200543
http://dx.doi.org/10.3390/s19122676
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author Romero-Bravo, Sebastián
Méndez-Espinoza, Ana María
Garriga, Miguel
Estrada, Félix
Escobar, Alejandro
González-Martinez, Luis
Poblete-Echeverría, Carlos
Sepulveda, Daniel
Matus, Ivan
Castillo, Dalma
del Pozo, Alejandro
Lobos, Gustavo A.
author_facet Romero-Bravo, Sebastián
Méndez-Espinoza, Ana María
Garriga, Miguel
Estrada, Félix
Escobar, Alejandro
González-Martinez, Luis
Poblete-Echeverría, Carlos
Sepulveda, Daniel
Matus, Ivan
Castillo, Dalma
del Pozo, Alejandro
Lobos, Gustavo A.
author_sort Romero-Bravo, Sebastián
collection PubMed
description Canopy temperature (Tc) by thermal imaging is a useful tool to study plant water status and estimate other crop traits. This work seeks to estimate grain yield (GY) and carbon discrimination (Δ(13)C) from stress degree day (SDD = Tc − air temperature, Ta), considering the effect of a number of environmental variables such as the averages of the maximum vapor pressure deficit (VPDmax) and the ambient temperature (Tmax), and the soil water content (SWC). For this, a set of 384 and a subset of 16 genotypes of spring bread wheat were evaluated in two Mediterranean-climate sites under water stress (WS) and full irrigation (FI) conditions, in 2011 and 2012, and 2014 and 2015, respectively. The relationship between the GY of the 384 wheat genotypes and SDD was negative and highly significant in 2011 (r(2) = 0.52 to 0.68), but not significant in 2012 (r(2) = 0.03 to 0.12). Under WS, the average GY, Δ(13)C, and SDD of wheat genotypes growing in ten environments were more associated with changes in VPDmax and Tmax than with the SWC. Therefore, the amount of water available to the plant is not enough information to assume that a particular genotype is experiencing a stress condition.
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spelling pubmed-66309212019-08-19 Thermal Imaging Reliability for Estimating Grain Yield and Carbon Isotope Discrimination in Wheat Genotypes: Importance of the Environmental Conditions Romero-Bravo, Sebastián Méndez-Espinoza, Ana María Garriga, Miguel Estrada, Félix Escobar, Alejandro González-Martinez, Luis Poblete-Echeverría, Carlos Sepulveda, Daniel Matus, Ivan Castillo, Dalma del Pozo, Alejandro Lobos, Gustavo A. Sensors (Basel) Article Canopy temperature (Tc) by thermal imaging is a useful tool to study plant water status and estimate other crop traits. This work seeks to estimate grain yield (GY) and carbon discrimination (Δ(13)C) from stress degree day (SDD = Tc − air temperature, Ta), considering the effect of a number of environmental variables such as the averages of the maximum vapor pressure deficit (VPDmax) and the ambient temperature (Tmax), and the soil water content (SWC). For this, a set of 384 and a subset of 16 genotypes of spring bread wheat were evaluated in two Mediterranean-climate sites under water stress (WS) and full irrigation (FI) conditions, in 2011 and 2012, and 2014 and 2015, respectively. The relationship between the GY of the 384 wheat genotypes and SDD was negative and highly significant in 2011 (r(2) = 0.52 to 0.68), but not significant in 2012 (r(2) = 0.03 to 0.12). Under WS, the average GY, Δ(13)C, and SDD of wheat genotypes growing in ten environments were more associated with changes in VPDmax and Tmax than with the SWC. Therefore, the amount of water available to the plant is not enough information to assume that a particular genotype is experiencing a stress condition. MDPI 2019-06-13 /pmc/articles/PMC6630921/ /pubmed/31200543 http://dx.doi.org/10.3390/s19122676 Text en © 2019 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Romero-Bravo, Sebastián
Méndez-Espinoza, Ana María
Garriga, Miguel
Estrada, Félix
Escobar, Alejandro
González-Martinez, Luis
Poblete-Echeverría, Carlos
Sepulveda, Daniel
Matus, Ivan
Castillo, Dalma
del Pozo, Alejandro
Lobos, Gustavo A.
Thermal Imaging Reliability for Estimating Grain Yield and Carbon Isotope Discrimination in Wheat Genotypes: Importance of the Environmental Conditions
title Thermal Imaging Reliability for Estimating Grain Yield and Carbon Isotope Discrimination in Wheat Genotypes: Importance of the Environmental Conditions
title_full Thermal Imaging Reliability for Estimating Grain Yield and Carbon Isotope Discrimination in Wheat Genotypes: Importance of the Environmental Conditions
title_fullStr Thermal Imaging Reliability for Estimating Grain Yield and Carbon Isotope Discrimination in Wheat Genotypes: Importance of the Environmental Conditions
title_full_unstemmed Thermal Imaging Reliability for Estimating Grain Yield and Carbon Isotope Discrimination in Wheat Genotypes: Importance of the Environmental Conditions
title_short Thermal Imaging Reliability for Estimating Grain Yield and Carbon Isotope Discrimination in Wheat Genotypes: Importance of the Environmental Conditions
title_sort thermal imaging reliability for estimating grain yield and carbon isotope discrimination in wheat genotypes: importance of the environmental conditions
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6630921/
https://www.ncbi.nlm.nih.gov/pubmed/31200543
http://dx.doi.org/10.3390/s19122676
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