Tomato Analyzer: a useful software application to collect accurate and detailed morphological and colorimetric data...

Area of Science:

• Plant science
• Biotechnology
• Agricultural science

Background:

• Objective and reproducible measurement of fruit morphology and color is crucial for detailed phenotypic analyses.
• Manual quantification of complex fruit shape attributes is challenging and time-consuming.

Purpose of the Study:

• To introduce Tomato Analyzer (TA), a software tool for semi-automatic and reproducible measurement of fruit shape and color traits.
• To highlight TA's capabilities in detailed phenotypic analysis, genetic studies, and objective classification of fruit morphology.

Main Methods:

• TA measures 37 two-dimensional shape attributes across ten categories, including morphometrics for unbiased analysis.
• The software includes a Color Test application for calibrated color measurements from scanned images.
• Data export options include batch processing to Excel files and individual image outputs.

Main Results:

• TA facilitates the identification and confirmation of tomato fruit shape Quantitative Trait Loci (QTL).
• It enables in-depth analysis of gene effects on plant morphology and objective classification of fruit shapes.
• The software's morphometric analysis offers an unbiased option suitable for high-throughput analyses.

Conclusions:

• Tomato Analyzer (TA) is a valuable tool for objective and reproducible fruit trait measurement.
• It supports genetic research, morphological studies, and classification across various plant species and organs.
• TA enhances the efficiency and accuracy of phenotypic data collection and analysis.