Characterization of a collection of local varieties of tomato (Solanum lycopersicum L.) using conventional descriptors and the high-throughput phenomics tool Tomato Analyzer

Figàs, María R.; Prohens, Jaime; Raigón, María Dolores; Fernández-de-Córdova, Pascual; Fita, Ana; Soler, Salvador

doi:10.1007/s10722-014-0142-1

Cited by 49 publications

(84 citation statements)

References 36 publications

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“…This results suggests that these accessions possess valuable diversity for fruit shape, size, and color and were in agreement with the pepper fruit shape investigation of Tripodi and Greco (2018), except for non-significant differences of eccentricity and proximal eccentricity. The coefficient of variation for fruit asymmetry, fruit shape index, and proximal/distal end were highly variable and non-significant, as demonstrated in eggplant (Hurtado et al, 2013;Hurtado et al, 014), tomato (Rodrı´guez et al, 2013;Figa`s et al, 2015) and pepper (Tripodi and Greco, 2018). Significant differences among accessions were found to be higher across different varietal types but were least or nonsignificant within each varietal type.…”

Section: Discussionmentioning

confidence: 94%

Application of high-throughput phenotyping tool Tomato Analyzer to characterize Balkan Capsicum fruit diversity

Nankar

Tringovska

Grozeva

et al. 2020

Scientia Horticulturae

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For years, the main emphasis of industrial pepper production has been the creation of large-fruited high-yielding varieties. This has led to the exploitation of pepper (Capsicum annuum L.) varieties with a significantly narrow genetic background. The Balkan region has a range of valuable local landraces that are noticeably decreasing in prevalence and may be lost. In this study, we utilized Tomato Analyzer (TA) to characterize the intra-and intervarietal type fruit diversity using 50 different fruit shape, size, and color descriptors of a Balkan pepper collection. The collection comprised of 168 diverse accessions and collected from 62 locations and 31 districts in six different Balkan countries. Fruit shape was the main trait used for visual accession grouping into 5 different varietal groupings of elongated, round, conical, bell, and pumpkin shape, respectively. Beyond visual grouping, hierarchical cluster analysis grouped the evaluated accessions into eight distinct clusters based on fruit shape, size, surface, and color. In total, 47 TA descriptors were identified to contribute to the total variation, with first two components explaining 54% of variation, and 90% of variation contained in 12 components. Among TA descriptors, fruit size and proximal/distal fruit end shape contributed to component 1 variation whereas fruit perimeter, area and color contributed to component 2. We hope that this research will assist pepper breeding and genetic resources communities to better understand Balkan pepper fruit diversity and develop pepper varieties with desirable fruit traits. Quantification of fruit diversity could be crucial for further investigation into the genetic determinants of fruit shape and size by a genome-wide association study.

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Section: Discussionmentioning

confidence: 94%

Application of high-throughput phenotyping tool Tomato Analyzer to characterize Balkan Capsicum fruit diversity

Nankar

Tringovska

Grozeva

et al. 2020

Scientia Horticulturae

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“…The morphological characterization has to be improved in order to avoid a time-consuming process and reduce the chance of errors in trait measurements (Kumar et al 2015). Several studies showed the limitations of standard morphological characterizations, especially to describe fruit shape in scarlet and gboma eggplants complexes (Plazas et al 2014;Kaushik et al;, in tomato (Figàs et al 2015) and in papaya (Marmolejo et al 2017). Mainly, dissection of phenotypic polymorphisms has been limited due to the establishment of categorical scales that do not allow distinguishing specimens with differences that are not visible in a recognized category.…”

Section: Constraints Of Conventional Morphological Characterization Imentioning

confidence: 99%

“…Similarly, morphological characterizations have also been used to evaluate ecotypes in water deficit conditions and their productive potential, which allowed identifying promising ecotypes that were introduced in improvement programs (Maquia et al 2013). However, previous studies in several crops showed the limitations of solely using a standard morphological characterization, specially to describe fruit shape in scarlet and gboma eggplants complexes (Plazas et al 2014;Kaushik et al 2016), in tomato (Figàs et al 2015) and in papaya (Marmolejo et al 2017). Thus, morphological characterization sometimes becomes a time-consuming process that increases the chance of generating errors in trait measurements (Kumar et al 2015).…”

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confidence: 99%

Morphometric and colourimetric tools to dissect morphological diversity: an application in sweet potato [Ipomoea batatas (L.) Lam.]

Rosero

Granda

Perez

et al. 2019

Genet Resour Crop Evol

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The genetic diversity of sweet potato [Ipomoea batatas (L.) Lam.] and its wild relatives has been collected and conserved in germplasm collections worldwide and explored employing several tools. The characterization of crops diversity through morphological tools produce useful information. However, the use of conventional morphological descriptions exhibits limitations due to the use of subjective and categorical parameters that affect phenotypic description and diversity estimation. In order to increase the efficiency to discriminate different phenotypes not detected by conventional morphological descriptors, new phenomic approaches were used. Seventy sweet potato accessions collected in the northern coast of Colombia were characterized by forty-nine parameters from conventional sweet potato descriptors and data obtained by RGB imaging and colourimetry. Field descriptions, RGB imagingcolourimetry and both databases integrated were analysed using Gower's general similarity coefficient

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“…For the latter, the approach was further helpful in finding those fruit parameters that are mainly involved in the variation of weight. In tomato and eggplant, TA has been used for characterization and discrimination of local varieties in combination with conventional methods [119,120], thus demonstrating itself to be a powerful tool for studying the diversity of germplasm, for the typification and classification of local varieties, and for the selection and breeding of novel cultivars.…”

Section: Rgb and Lidar For Morphology And Canopy Assessmentmentioning

confidence: 99%

Sensing Technologies for Precision Phenotyping in Vegetable Crops: Current Status and Future Challenges

Tripodi¹,

Massa²,

Venezia³

et al. 2018

Agronomy

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Abstract:Increasing the ability to investigate plant functions and structure through non-invasive methods with high accuracy has become a major target in plant breeding and precision agriculture. Emerging approaches in plant phenotyping play a key role in unraveling quantitative traits responsible for growth, production, quality, and resistance to various stresses. Beyond fully automatic phenotyping systems, several promising technologies can help accurately characterize a wide range of plant traits at affordable costs and with high-throughput. In this review, we revisit the principles of proximal and remote sensing, describing the application of non-invasive devices for precision phenotyping applied to the protected horticulture. Potentiality and constraints of big data management and integration with "omics" disciplines will also be discussed.

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Characterization of a collection of local varieties of tomato (Solanum lycopersicum L.) using conventional descriptors and the high-throughput phenomics tool Tomato Analyzer

Cited by 49 publications

References 36 publications

Application of high-throughput phenotyping tool Tomato Analyzer to characterize Balkan Capsicum fruit diversity

Application of high-throughput phenotyping tool Tomato Analyzer to characterize Balkan Capsicum fruit diversity

Morphometric and colourimetric tools to dissect morphological diversity: an application in sweet potato [Ipomoea batatas (L.) Lam.]

Sensing Technologies for Precision Phenotyping in Vegetable Crops: Current Status and Future Challenges

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