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. 2021 Jul 27;16(7):e0254318.
doi: 10.1371/journal.pone.0254318. eCollection 2021.

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

Affiliations

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

Zahoor A Dar et al. PLoS One. .

Retraction in

Abstract

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.

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Conflict of interest statement

The authors have declared that no competing interests exist.

Figures

Fig 1
Fig 1. LemnaTec plant phenomics facility at NIASM, Baramati.
Fig 2
Fig 2
Aspect ratio in control (a) and water stressed pots (b).
Fig 3
Fig 3
Bi-angular convex-hull area ratio in control (a) and water stressed pots (b).
Fig 4
Fig 4
Illustration of genetic regulation of plant aspect ratio in control (a) and stressed pots (b), and genetic regulation of bi-convex hull ratio in control (c) and stressed pots (d).
Fig 5
Fig 5. Top ranking aspect ratio lines in control and stressed pots.
Fig 6
Fig 6. Top ranking bi-convex hull ratio lines in control and stressed pots.
Fig 7
Fig 7
Relationship between surrogates and biomass in control (a) and stressed plants (b).
Fig 8
Fig 8. Relationship between canopy temperature and biomass in control plants.
Fig 9
Fig 9. Relationship between canopy temperature and biomass in stressed plants.

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