Micron-scale phenotyping quantification and three-dimensional microstructure reconstruction of vascular bundles within maize stalks based on micro-CT scanning
Jianjun Du A , Ying Zhang A , Xinyu Guo A , Liming Ma A , Meng Shao A , Xiaodi Pan A and Chunjiang Zhao A BA Beijing Key Lab of Digital Plant, Beijing Research Centre for Information Technology in Agriculture, Beijing Academy of Agriculture and Forestry Sciences, No. 11 Shuguang Huayuan Middle Road, Haidian District, Beijing, China.
B Corresponding author. Email: zhaocj@nercita.org.cn
Functional Plant Biology 44(1) 10-22 https://doi.org/10.1071/FP16117
Submitted: 30 March 2016 Accepted: 18 June 2016 Published: 5 August 2016
Abstract
Vascular bundles within maize (Zea mays L.) stalks play a key role in the mechanical support of plant architecture as well as in water and nutrient transportation. Convenient and accurate phenotyping of vascular bundles may help phenotypic identification of germplasm resources for breeding. Based on practical sample preparation procedures for maize stalks, we acquired serials of cross-sectional images using a micro-computed tomography (CT) imaging device. An image processing pipeline dedicated to the phenotyping of vascular bundles was also developed to automatically segment and validate vascular bundles from the cross-sectional images of maize stalks, from which phenotypic traits of vascular bundles, i.e. number, area, and spatial distribution, were calculated. More profound quantification of spatial distribution was given as area ratio of vascular bundles, which described the distribution of vascular bundles associated with the centroid of maize stalks. In addition, three-dimensional visualisation was performed to reveal the spatial configuration and distribution of vascular bundles. The proposed method significantly improves computation accuracy for the phenotypic traits of vascular bundles compared with previous methods, and is expected to be useful for illustrating relationships between phenotypic traits of vascular bundles and their function.
Additional keywords: image segmentation, maize stalk, phenotypic traits.
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