کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
84587 158892 2011 8 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Use of thermography for high throughput phenotyping of tropical maize adaptation in water stress
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر نرم افزارهای علوم کامپیوتر
پیش نمایش صفحه اول مقاله
Use of thermography for high throughput phenotyping of tropical maize adaptation in water stress
چکیده انگلیسی

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 Tlaltizapán 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.


► Lower canopy temperatures were found in well-watered compared with water-stressed genotypes.
► Temperature differences within genotypes under water stress were detected using thermal images.
► Genotypes which better adapted to drought exhibiting lower temperatures.
► Significant correlation were obtained between canopy temperature with NDVI, SPAD and yield data.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Computers and Electronics in Agriculture - Volume 79, Issue 1, October 2011, Pages 67–74
نویسندگان
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