ArticlePlant methods2020
Phenotyping analysis of maize stem using micro-computed tomography at the elongation and tasseling stages.
Article in Plant methods, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed, 16 citations in OpenAlex.
- Association analysis of maize stem vascular bundle micro-characteristics with yield components based on micro-CT and identification of related genes.Scientific reports · 2025Article
- Feasibility study on the introduction of Micro-CT technology for the identification ofFrontiers in pharmacology · 2024Article
- Editorial: Women in plant science - linking genome to phenome.Frontiers in plant science · 2024Article
- A robust and efficient automatic method to segment maize FASGA stained stem cross section images to accurately quantify histological profile.Plant methods · 2022Article
- Particle-Based Imaging Tools Revealing Water Flows in Maize Nodal Vascular Plexus.Plants (Basel, Switzerland) · 2022Article
- Darkfield and Fluorescence Macrovision of a Series of Large Images to Assess Anatomical and Chemical Tissue Variability in Whole Cross-Sections of Maize Stems.Frontiers in plant science · 2021Article
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Authors and funding
6 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundMicro-computed tomography (μCT) bring a new opportunity to accurately quantify micro phenotypic traits of maize stem, also provide comparable benchmark to evaluate its dynamic development at the different growth stages. The progressive accumulation of stem biomass brings manifest structure changes of maize stem and vascular bundles, which are closely related with maize varietal characteristics and growth stages. Thus, micro-phenotyping (μPhenotyping) of maize stems is not only valuable to evaluate bio-mechanics and water-transport performance of maize, but also yield growth-based traits for quantitative traits loci (QTL) and functional genes location in molecular breeding.
resultIn this study, maize stems of 20 maize cultivars and two growth stages were imaged using μCT scanning technology. According to the observable differences of maize stems from the elongation and tasseling stages, function zones of maize stem were firstly defined to describe the substance accumulation of maize stems. And then a set of image-based μPhenotyping pipelines were implemented to quantify maize stem and vascular bundles at the two stages. The coefficient of determination (R
conclusionsThe novel descriptors of function zones provide effective phenotypic references to quantify the differences between growth stages; and the detection and identification of vascular bundles based on function zones are more robust to determine the adaptive image analysis pipeline. Developing robust and effective image-based phenotyping method to assess the traits of stem and vascular bundles, is highly relevant for understanding the relationship between maize phenomics and genomics.
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