flirone pro thermal camera  (FLIR Systems)

Journal: Frontiers in Plant Science

Article Title: Selection strategies to introgress water deficit tolerance derived from Solanum galapagense accession LA1141 into cultivated tomato

doi: 10.3389/fpls.2022.947538

Figure Lengend Snippet: Boxplots comparing water-deficit stress response of the Solanum galapagense accession LA1141 donor parent ( N = 9) to the S. lycopersicum OH8245 recurrent parent ( N = 9). The traits measured were (A) turgor ratings ranging from 1 to 5 (5 = turgid, 4 = soft to the touch, 3 = beginning to wilt, 2 = wilted with complete loss of turgor, and 1 = dead) consistent with previous . (B) Canopy temperature estimated using a handheld infrared thermometer (IRT) (Zhuhai JiDa Huapu Instrument Co., Hong Kong), and (C) from images captured with the FLIRONE GEN3 iOS thermal camera (FLIR Systems Wilsonville, OR, United States). Physiological measurements were taken with the LI-600 Porometer/ Fluorometer (LI-COR Biosciences, Lincoln, NE, United States) and included (D) stomatal conductance (g sw mol m –2 s –1 ) , (E) vapor pressure deficit (VPD kPa), and (F) light-adapted chlorophyll fluorescence (PhiPS2 1-Fs/FMAX). Values are reported at the time point where they reach their maximums. Different letters indicate statistically significant differences among groups (Tukey’s Honest Significant Difference, p < 0.05).

Article Snippet: Image-based whole plant canopy temperature was estimated using a FLIRONE GEN3 iOS thermal camera (FLIR Systems Wilsonville, OR, United States) and calibrated relative to water baths at a known temperature ( ).

Techniques: Fluorescence

Journal: Frontiers in Plant Science

Article Title: Selection strategies to introgress water deficit tolerance derived from Solanum galapagense accession LA1141 into cultivated tomato

doi: 10.3389/fpls.2022.947538

Figure Lengend Snippet: Estimating canopy temperature (°C) using images and an infrared thermometer (IRT) as a measure of plant water deficit stress. (A) Original images of LA1141 (top), OH8245 (middle), and inbred backcross line SG18-237 (bottom). The original image of the plant canopy was captured with the FLIRONE GEN3 iOS thermal camera (FLIR Systems Wilsonville, OR) and temperature (°C) was measured using a handheld IRT (Zhuhai JiDa Huapu Instrument Co., Hong Kong) simultaneously. (B) Plots of the temperature data extracted from thermal images using the function “plotTherm” in the R package Thermimage . (C) Histogram-based thresholding using “MEAN” in the JAVA-based distribution of ImageJ “Fiji” . Images were analyzed in a workflow that entailed extracting radiometric data using the “readflirJPG” function in the R package Thermimage . Raw files with pixel values corresponding to the plant canopy surface temperature were then imported into the open-source software ImageJ for image processing and analysis. A collection of ImageJ functions and macros called “ThermImageJ” was used to import the temperature data extracted from the thermal images, isolate regions of interest (ROI), and estimate temperature. The image calibration bar was added to each individual image in panel C using the ImageJ macro “ThermImageJ” .

Article Snippet: Image-based whole plant canopy temperature was estimated using a FLIRONE GEN3 iOS thermal camera (FLIR Systems Wilsonville, OR, United States) and calibrated relative to water baths at a known temperature ( ).

Techniques: Software

Journal: Frontiers in Plant Science

Article Title: Selection strategies to introgress water deficit tolerance derived from Solanum galapagense accession LA1141 into cultivated tomato

doi: 10.3389/fpls.2022.947538

Figure Lengend Snippet: Boxplots comparing group performance of groups corresponding to selection strategies under water deficit. Traits were measured as best linear unbiased predictors (BLUPs) and include (A) plant turgor ratings, (B) canopy temperature, (C) stomatal conductance (g sw ), and (D) vapor pressure deficit (VPD). Selection strategy groups were based on GEBVs (GS, N = 8), LA1141 × OH8245 BC 2 S 3 canopy temperature, and turgor BLUPs (Pheno, N = 9), a combination of the two (GS + Pheno, N = 3), and randomly advanced lines (Random, N = 10). Each IBL was replicated three times within the selection strategy. Turgor ratings ranged from 1 to 5 (5 = turgid, 4 = soft to the touch, 3 = beginning to wilt, 2 = wilted with complete loss of turgor, and 1 = dead) as described previously . Canopy temperature was estimated using the FLIRONE GEN3 iOS thermal camera (FLIR Systems Wilsonville, OR, United States). Physiological measurements were measured with the LI-600 Porometer/Fluorometer (LI-COR Biosciences, Lincoln, NE, United States) and included stomatal conductance (g sw mol m –2 s –1 ) and vapor pressure deficit (VPD kPa). Values are reported at the time point where they reach their maximums. Different letters indicate statistically significant differences among groups (Tukey’s honestly significant difference, p < 0.05).

Article Snippet: Image-based whole plant canopy temperature was estimated using a FLIRONE GEN3 iOS thermal camera (FLIR Systems Wilsonville, OR, United States) and calibrated relative to water baths at a known temperature ( ).

Techniques: Selection