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Open AccessArticle

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

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Department of Agricultural Sciences, Universidad Católica del Maule, Curicó P.O. Box 684, Chile
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Plant Breeding and Phenomic Center, Faculty of Agricultural Sciences, Universidad de Talca, Talca P.O. Box 747, Chile
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Department of Viticulture and Oenology, Stellenbosch University, Matieland 7602, South Africa
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Centro de Investigación y Transferencia en Riego y Agroclimatología (CITRA), Talca P.O. Box 747, Chile
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Centro Regional Investigación Quilamapu, Instituto de Investigaciones Agropecuarias, Chillán P.O. Box 426, Chile
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Authors to whom correspondence should be addressed.
Sensors 2019, 19(12), 2676; https://doi.org/10.3390/s19122676
Received: 10 April 2019 / Revised: 4 June 2019 / Accepted: 5 June 2019 / Published: 13 June 2019
(This article belongs to the Special Issue Emerging Sensor Technology in Agriculture)
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 (Δ13C) 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 (r2 = 0.52 to 0.68), but not significant in 2012 (r2 = 0.03 to 0.12). Under WS, the average GY, Δ13C, 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. View Full-Text
Keywords: remote sensing; phenotype; phenotyping; phenomics; Triticum aestivum; water deficit; stress; infrared remote sensing; phenotype; phenotyping; phenomics; Triticum aestivum; water deficit; stress; infrared
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Romero-Bravo, S.; Méndez-Espinoza, A.M.; Garriga, M.; Estrada, F.; Escobar, A.; González-Martinez, L.; Poblete-Echeverría, C.; Sepulveda, D.; Matus, I.; Castillo, D.; del Pozo, A.; Lobos, G.A. Thermal Imaging Reliability for Estimating Grain Yield and Carbon Isotope Discrimination in Wheat Genotypes: Importance of the Environmental Conditions. Sensors 2019, 19, 2676.

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