Literature DB >> 25850677

Assessing potato tuber diel growth by means of X-ray computed tomography.

Eduardo Pérez-Torres1, Norbert Kirchgessner1, Johannes Pfeifer1, Achim Walter1.   

Abstract

The formation and development of belowground organs is difficult to study. X-ray computed tomography (CT) provides the possibility to analyse and interpret subtle volumetric changes of belowground organs such as tubers, storage roots and nodules. Here, we report on the establishment of a method based on a voxel dimension of 240 μm and precision (standard deviation) of 30 μL that allows interpreting growth differences among potato tubers happening within 3 h. Plants were not stressed by the application of X-ray radiation, which was shown both by morphological comparison with control plants and by analysis of lipid peroxidation as a measure of oxidative stress. Diel (24 h) tuber growth fluctuations of three potato genotypes were monitored in soil-filled pots of 10 L. In contrast to the results from previous reports, most tubers grew at similar rates during day and night. Tuber growth was not related to the developmental stage of plants and tubers. Pronounced differences were observed between average growth rates in different tubers within a plant. These results are discussed in the context of restrictions of past methods to study tuber growth and in the context of their potential for the characterization of the formation and development of other belowground plant organs.
© 2015 John Wiley & Sons Ltd.

Entities:  

Keywords:  Solanum tuberosum L.; diel cycle; potato; tuber growth; tuber volume

Mesh:

Year:  2015        PMID: 25850677     DOI: 10.1111/pce.12548

Source DB:  PubMed          Journal:  Plant Cell Environ        ISSN: 0140-7791            Impact factor:   7.228


  5 in total

1.  Non-destructive measurement of soybean leaf thickness via X-ray computed tomography allows the study of diel leaf growth rhythms in the third dimension.

Authors:  Johannes Pfeifer; Michael Mielewczik; Michael Friedli; Norbert Kirchgessner; Achim Walter
Journal:  J Plant Res       Date:  2017-08-02       Impact factor: 2.629

2.  X-ray driven peanut trait estimation: computer vision aided agri-system transformation.

Authors:  Martha Domhoefer; Debarati Chakraborty; Eva Hufnagel; Joelle Claußen; Norbert Wörlein; Marijn Voorhaar; Krithika Anbazhagan; Sunita Choudhary; Janila Pasupuleti; Rekha Baddam; Jana Kholova; Stefan Gerth
Journal:  Plant Methods       Date:  2022-06-06       Impact factor: 5.827

3.  Keeping time in the dark: Potato diel and circadian rhythmic gene expression reveals tissue-specific circadian clocks.

Authors:  Genevieve M Hoopes; Daniel Zarka; Ann Feke; Kaitlyn Acheson; John P Hamilton; David Douches; C Robin Buell; Eva M Farré
Journal:  Plant Direct       Date:  2022-07-12

Review 4.  Physical Methods for Seed Invigoration: Advantages and Challenges in Seed Technology.

Authors:  Susana de Sousa Araújo; Stefania Paparella; Daniele Dondi; Antonio Bentivoglio; Daniela Carbonera; Alma Balestrazzi
Journal:  Front Plant Sci       Date:  2016-05-12       Impact factor: 5.753

5.  Comprehensive 3D phenotyping reveals continuous morphological variation across genetically diverse sorghum inflorescences.

Authors:  Mao Li; Mon-Ray Shao; Dan Zeng; Tao Ju; Elizabeth A Kellogg; Christopher N Topp
Journal:  New Phytol       Date:  2020-04-16       Impact factor: 10.151

  5 in total

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