Literature DB >> 32480542

Micron-scale phenotyping quantification and three-dimensional microstructure reconstruction of vascular bundles within maize stalks based on micro-CT scanning.

Jianjun Du1, Ying Zhang1, Xinyu Guo1, Liming Ma1, Meng Shao1, Xiaodi Pan1, Chunjiang Zhao1.   

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.

Entities:  

Year:  2016        PMID: 32480542     DOI: 10.1071/FP16117

Source DB:  PubMed          Journal:  Funct Plant Biol        ISSN: 1445-4416            Impact factor:   3.101


  9 in total

1.  Phenotyping Complex Plant Structures with a Large Format Industrial Scale High-Resolution X-Ray Tomography Instrument.

Authors:  Keith E Duncan; Christopher N Topp
Journal:  Methods Mol Biol       Date:  2022

2.  Particle-Based Imaging Tools Revealing Water Flows in Maize Nodal Vascular Plexus.

Authors:  Ulyana S Zubairova; Aleksandra Yu Kravtsova; Alexander V Romashchenko; Anastasiia A Pushkareva; Alexey V Doroshkov
Journal:  Plants (Basel)       Date:  2022-06-08

3.  High-Throughput Phenotyping Accelerates the Dissection of the Phenotypic Variation and Genetic Architecture of Shank Vascular Bundles in Maize (Zea mays L.).

Authors:  Shangjing Guo; Guoliang Zhou; Jinglu Wang; Xianju Lu; Huan Zhao; Minggang Zhang; Xinyu Guo; Ying Zhang
Journal:  Plants (Basel)       Date:  2022-05-18

4.  Dissecting the phenotypic components and genetic architecture of maize stem vascular bundles using high-throughput phenotypic analysis.

Authors:  Ying Zhang; Jinglu Wang; Jianjun Du; Yanxin Zhao; Xianju Lu; Weiliang Wen; Shenghao Gu; Jiangchuan Fan; Chuanyu Wang; Sheng Wu; Yongjian Wang; Shengjin Liao; Chunjiang Zhao; Xinyu Guo
Journal:  Plant Biotechnol J       Date:  2020-07-19       Impact factor: 9.803

5.  Responses of Maize Internode to Water Deficit Are Different at the Biochemical and Histological Levels.

Authors:  Fadi El Hage; Laetitia Virlouvet; Paul-Louis Lopez-Marnet; Yves Griveau; Marie-Pierre Jacquemot; Sylvie Coursol; Valérie Méchin; Matthieu Reymond
Journal:  Front Plant Sci       Date:  2021-02-26       Impact factor: 5.753

6.  A deep learning-integrated micro-CT image analysis pipeline for quantifying rice lodging resistance-related traits.

Authors:  Di Wu; Dan Wu; Hui Feng; Lingfeng Duan; Guoxing Dai; Xiao Liu; Kang Wang; Peng Yang; Guoxing Chen; Alan P Gay; John H Doonan; Zhiyou Niu; Lizhong Xiong; Wanneng Yang
Journal:  Plant Commun       Date:  2021-01-29

7.  High throughput phenotyping of cross-sectional morphology to assess stalk lodging resistance.

Authors:  Yusuf A Oduntan; Christopher J Stubbs; Daniel J Robertson
Journal:  Plant Methods       Date:  2022-01-04       Impact factor: 4.993

8.  Characteristics and candidate genes associated with excellent stalk strength in maize (Zea mays L.).

Authors:  Xiaqing Wang; Yining Chen; Xuan Sun; Jinghuan Li; Ruyang Zhang; Yanyan Jiao; Ronghuan Wang; Wei Song; Jiuran Zhao
Journal:  Front Plant Sci       Date:  2022-07-28       Impact factor: 6.627

9.  Stalk architecture, cell wall composition, and QTL underlying high stalk flexibility for improved lodging resistance in maize.

Authors:  Xiaqing Wang; Zi Shi; Ruyang Zhang; Xuan Sun; Jidong Wang; Shuai Wang; Ying Zhang; Yanxin Zhao; Aiguo Su; Chunhui Li; Ronghuan Wang; Yunxia Zhang; Shuaishuai Wang; Yuandong Wang; Wei Song; Jiuran Zhao
Journal:  BMC Plant Biol       Date:  2020-11-11       Impact factor: 4.215

  9 in total

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