Literature DB >> 20234339

Tomato Analyzer: a useful software application to collect accurate and detailed morphological and colorimetric data from two-dimensional objects.

Gustavo R Rodríguez1, Jennifer B Moyseenko, Matthew D Robbins, Nancy Huarachi Morejón, David M Francis, Esther van der Knaap.   

Abstract

Measuring fruit morphology and color traits of vegetable and fruit crops in an objective and reproducible way is important for detailed phenotypic analyses of these traits. Tomato Analyzer (TA) is a software program that measures 37 attributes related to two-dimensional shape in a semi-automatic and reproducible manner. Many of these attributes, such as angles at the distal and proximal ends of the fruit and areas of indentation, are difficult to quantify manually. The attributes are organized in ten categories within the software: Basic Measurement, Fruit Shape Index, Blockiness, Homogeneity, Proximal Fruit End Shape, Distal Fruit End Shape, Asymmetry, Internal Eccentricity, Latitudinal Section and Morphometrics. The last category requires neither prior knowledge nor predetermined notions of the shape attributes, so morphometric analysis offers an unbiased option that may be better adapted to high-throughput analyses than attribute analysis. TA also offers the Color Test application that was designed to collect color measurements from scanned images and allow scanning devices to be calibrated using color standards. TA provides several options to export and analyze shape attribute, morphometric, and color data. The data may be exported to an excel file in batch mode (more than 100 images at one time) or exported as individual images. The user can choose between output that displays the average for each attribute for the objects in each image (including standard deviation), or an output that displays the attribute values for each object on the image. TA has been a valuable and effective tool for indentifying and confirming tomato fruit shape Quantitative Trait Loci (QTL), as well as performing in-depth analyses of the effect of key fruit shape genes on plant morphology. Also, TA can be used to objectively classify fruit into various shape categories. Lastly, fruit shape and color traits in other plant species as well as other plant organs such as leaves and seeds can be evaluated with TA.

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Mesh:

Year:  2010        PMID: 20234339      PMCID: PMC3146067          DOI: 10.3791/1856

Source DB:  PubMed          Journal:  J Vis Exp        ISSN: 1940-087X            Impact factor:   1.355


  9 in total

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3.  Multiple trait analysis of genetic mapping for quantitative trait loci.

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Journal:  Genetics       Date:  1995-07       Impact factor: 4.562

4.  Development of a controlled vocabulary and software application to analyze fruit shape variation in tomato and other plant species.

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Journal:  Plant Physiol       Date:  2006-05       Impact factor: 8.340

5.  Theoretical basis for separation of multiple linked gene effects in mapping quantitative trait loci.

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Journal:  Proc Natl Acad Sci U S A       Date:  1993-12-01       Impact factor: 11.205

6.  Precision mapping of quantitative trait loci.

Authors:  Z B Zeng
Journal:  Genetics       Date:  1994-04       Impact factor: 4.562

7.  Morphological variation in tomato: a comprehensive study of quantitative trait loci controlling fruit shape and development.

Authors:  Marin Talbot Brewer; Jennifer B Moyseenko; Antonio J Monforte; Esther van der Knaap
Journal:  J Exp Bot       Date:  2007-02-05       Impact factor: 6.992

8.  A comparative analysis into the genetic bases of morphology in tomato varieties exhibiting elongated fruit shape.

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Journal:  Theor Appl Genet       Date:  2008-01-09       Impact factor: 5.699

9.  Natural variation in an ABC transporter gene associated with seed size evolution in tomato species.

Authors:  Cintia Hotta Orsi; Steven D Tanksley
Journal:  PLoS Genet       Date:  2009-01-23       Impact factor: 5.917

  9 in total
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5.  The developmental outcomes of P0-mediated ARGONAUTE destabilization in tomato.

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Journal:  Planta       Date:  2012-10-19       Impact factor: 4.116

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8.  Computable visually observed phenotype ontological framework for plants.

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