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dc.creatorBrewer, Marin Talbot
dc.creatorLang, Lixin
dc.creatorFujimura, Kikuo
dc.creatorDujmovic, Nancy
dc.creatorGray, Simon
dc.creatorvan der Knaap, Esther
dc.date.accessioned2011-05-24T16:04:04Z
dc.date.available2011-05-24T16:04:04Z
dc.date.issued2006-05
dc.identifier.citationMarin Talbot Brewer et al, "Development of a Controlled Vocabulary and Software Application to Analyze Fruit Shape Variation in Tomatoand Other Plant Species," Plant Physiology 141, no. 1 (2006), doi:10.1104/pp.106.077867en_US
dc.identifier.issn1532-2548
dc.identifier.urihttp://hdl.handle.net/1811/48797
dc.description.abstractThe domestication and improvement of fruit-bearing crops resulted in a large diversity of fruit form. To facilitate consistent terminology pertaining to shape, a controlled vocabulary focusing specifically on fruit shape traits was developed. Mathematical equations were established for the attributes so that objective, quantitative measurements of fruit shape could be conducted. The controlled vocabulary and equations were integrated into a newly developed software application, Tomato Analyzer, which conducts semiautomatic phenotypic measurements. To demonstrate the utility of Tomato Analyzer in the detection of shape variation, fruit from two F-2 populations of tomato ( Solanum spp.) were analyzed. Principal components analysis was used to identify the traits that best described shape variation within as well as between the two populations. The three principal components were analyzed as traits, and several significant quantitative trait loci (QTL) were identified in both populations. The usefulness and flexibility of the software was further demonstrated by analyzing the distal fruit end angle of fruit at various user-defined settings. Results of the QTL analyses indicated that significance levels of detected QTL were greatly improved by selecting the setting that maximized phenotypic variation in a given population. Tomato Analyzer was also applied to conduct phenotypic analyses of fruit from several other species, demonstrating that many of the algorithms developed for tomato could be readily applied to other plants. The controlled vocabulary, algorithms, and software application presented herein will provide plant scientists with novel tools to consistently, accurately, and efficiently describe two-dimensional fruit shapes.en_US
dc.language.isoen_USen_US
dc.publisherAmerican Society of Plant Biologistsen_US
dc.rightsCopyright American Society of Plant Biologistsen_US
dc.titleDevelopment of a controlled vocabulary and software application to analyze fruit shape variation in tomato and other plant speciesen_US
dc.typeArticleen_US
dc.identifier.doi10.1104/pp.106.077867
dc.identifier.osuauthorvanderknaap.1


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