Identification for surrogate drought tolerance in maize inbred lines utilizing high-throughput phenomics approach

Screening for drought tolerance requires precise techniques like phonemics, which is an emerging science aimed at non-destructive methods allowing large-scale screening of genotypes. Large-scale screening complements genomic efforts to identify genes relevant for crop improvement. Thirty maize inbre...

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Bibliographic Details
Published in:PloS one 2021-07, Vol.16 (7), p.e0254318-e0254318
Main Authors: Dar, Zahoor A, Dar, Showket A, Khan, Jameel A, Lone, Ajaz A, Langyan, Sapna, Lone, B. A, Kanth, R. H, Iqbal, Asif, Rane, Jagdish, Wani, Shabir H, Alfarraj, Saleh, Alharbi, Sulaiman Ali, Brestic, Marian, Ansari, Mohammad Javed
Format: Article
Language:English
Subjects:
Agricultural production
Agricultural research
Agriculture
Arid zones
Aspect ratio
Automation
Biology and Life Sciences
Breeding
Callipers
Cereal crops
Convexity
Corn
Crop improvement
Drought
Drought resistance
Droughts
Dryland farming
Ecology and Environmental Sciences
Evaluation
Feature extraction
Food
Gene mapping
Genes
Genotype & phenotype
Genotypes
Ground stations
Image processing
Image segmentation
Inbreeding
Infrared radiation
Management
Mapping
Nondestructive testing
Phonemics
Physical Sciences
Physiology
Plant sciences
Production management
Quantitative trait loci
Research and Analysis Methods
Screening
Sensors
Soil sciences
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Summary:Screening for drought tolerance requires precise techniques like phonemics, which is an emerging science aimed at non-destructive methods allowing large-scale screening of genotypes. Large-scale screening complements genomic efforts to identify genes relevant for crop improvement. Thirty maize inbred lines from various sources (exotic and indigenous) maintained at Dryland Agriculture Research Station were used in the current study. In the automated plant transport and imaging systems (LemnaTec Scanalyzer system for large plants), top and side view images were taken of the VIS (visible) and NIR (near infrared) range of the light spectrum to capture phenes. All images were obtained with a thermal imager. All sensors were used to collect images one day after shifting the pots from the greenhouse for 11 days. Image processing was done using pre-processing, segmentation and flowered by features' extraction. Different surrogate traits such as pixel area, plant aspect ratio, convex hull ratio and calliper length were estimated. A strong association was found between canopy temperature and above ground biomass under stress conditions. Promising lines in different surrogates will be utilized in breeding programmes to develop mapping populations for traits of interest related to drought resilience, in terms of improved tissue water status and mapping of genes/QTLs for drought traits.
ISSN:1932-6203
1932-6203
DOI:10.1371/journal.pone.0254318