article

Use of thermography for high throughput phenotyping of tropical maize adaptation in water stress

Authors:

Giuseppe Romano,

Wolfram Spreer,

Jose Luis Araus,

Joachim MüllerAuthors Info & Claims

Computers and Electronics in Agriculture, Volume 79, Issue 1

Pages 67 - 74

https://doi.org/10.1016/j.compag.2011.08.011

Published: 01 October 2011 Publication History

Abstract

In this study the suitability of thermal imaging for phenotyping was investigated as part of a breeding experiment carried out by the International Maize and Wheat Improvement Centre (CIMMYT) at Tlaltizapan experimental station in Mexico. Different subtropical maize genotypes with two replications were screened with respect to their tolerance to water stress. Thermal images of the canopy of 92 different maize genotypes were acquired on two different days in the time interval between anthesis and blister stages (grain filling 1), whereby each picture contained five plots of different genotypes and canopy temperatures calculated for each plot. Significantly, lower canopy temperatures were found in well-watered genotypes compared with water-stressed genotypes. Furthermore significant differences (p<0.001) between genotypes under water stress were detected using thermal images. A close correlation (p<0.01-0.001) between canopy temperature or modified Crop water stress index with NDVI and SPAD values was obtained. It may be concluded that genotypes better adapted to drought conditions exhibited lower temperatures. Thermography is a potentially promising method to accelerate the screening process and thereby enhance phenotyping for drought adaptation in maize.

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Cited By

Adhitama Putra Hernanda RLee HCho JKim GCho BKim M(2024)Current trends in the use of thermal imagery in assessing plant stressesComputers and Electronics in Agriculture10.1016/j.compag.2024.109227224:COnline publication date: 1-Sep-2024
https://dl.acm.org/doi/10.1016/j.compag.2024.109227
Bai GGe YHussain WBaenziger PGraef G(2016)A multi-sensor system for high throughput field phenotyping in soybean and wheat breedingComputers and Electronics in Agriculture10.1016/j.compag.2016.08.021128:C(181-192)Online publication date: 1-Oct-2016
https://dl.acm.org/doi/10.1016/j.compag.2016.08.021
Ge YBai GStoerger VSchnable J(2016)Temporal dynamics of maize plant growth, water use, and leaf water content using automated high throughput RGB and hyperspectral imagingComputers and Electronics in Agriculture10.1016/j.compag.2016.07.028127:C(625-632)Online publication date: 1-Sep-2016
https://dl.acm.org/doi/10.1016/j.compag.2016.07.028

Use of thermography for high throughput phenotyping of tropical maize adaptation in water stress
1. Applied computing
  1. Physical sciences and engineering

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Published In

cover image Computers and Electronics in Agriculture

Computers and Electronics in Agriculture Volume 79, Issue 1

October, 2011

103 pages

ISSN:0168-1699

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Copyright © Elsevier B.V. © 2011.

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Elsevier Science Publishers B. V.

Netherlands

Publication History

Published: 01 October 2011

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Cited By

Adhitama Putra Hernanda RLee HCho JKim GCho BKim M(2024)Current trends in the use of thermal imagery in assessing plant stressesComputers and Electronics in Agriculture10.1016/j.compag.2024.109227224:COnline publication date: 1-Sep-2024
https://dl.acm.org/doi/10.1016/j.compag.2024.109227
Bai GGe YHussain WBaenziger PGraef G(2016)A multi-sensor system for high throughput field phenotyping in soybean and wheat breedingComputers and Electronics in Agriculture10.1016/j.compag.2016.08.021128:C(181-192)Online publication date: 1-Oct-2016
https://dl.acm.org/doi/10.1016/j.compag.2016.08.021
Ge YBai GStoerger VSchnable J(2016)Temporal dynamics of maize plant growth, water use, and leaf water content using automated high throughput RGB and hyperspectral imagingComputers and Electronics in Agriculture10.1016/j.compag.2016.07.028127:C(625-632)Online publication date: 1-Sep-2016
https://dl.acm.org/doi/10.1016/j.compag.2016.07.028

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