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Explore the Trait Search's data browser

Explore the Trait Search's data browser

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Domain

Core Breeding

User Type

Member

Role

Team Member

Table of Contents

The Trait Search browser displays the two key sections: the (A) query parameters and the (B) query results viewer.

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Query Parameters

The (1) Query Parameters section enables users to perform basic and additional queries for traits. The section can expand, allowing users to hide it while viewing search results.

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Variable

Functionality

 

Variable

Functionality

a.

Name

Enables users to input one or more values before initiating a search for specific traits. For optimal results, multiple values should be separated by commas. Additionally, the wildcard symbol (%) may be utilized when the precise variable name is not known (e.g., plant%).

b.

Data Type

Enables users to filter the trait search results by selecting the data type. These data types are categorized as character varying (e.g., type of fertilizer), date (e.g., 2021-05-04), float (e.g., 1.5cm), integer (e.g, 10 seeds), or text.

c.

Additional Search Parameters

Empowers users to efficiently search for specific traits by using predefined conditions or relevant data variables.

d.

Main Buttons

Holds the core functionalities after users identify the trait search parameters — initializing the trait search and removing the user-defined parameters.

 

Additional Search Parameters

Users can expand the Additional Search Parameters subsection to perform additional searches by setting up filter options.

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A. Add Condition button

  • When clicked, it enables users to add a condition that assists users in filtering their trait search results. They can click the button multiple times to add more conditions

B. Conditions panel

  • Displays the filters and conditions dropdown buttons that allow users to select the data variables (e.g., Abbrev, Label) and the logical operators (e.g., greater than, less than or equal to) before refining their search.

A. Add Condition button

  • When clicked, it enables users to add a condition that assists users in filtering their trait search results. They can click the button multiple times to add more conditions

B. Conditions panel

  • Displays the filters and conditions dropdown buttons that allow users to select the data variables (e.g., Abbrev, Label) and the logical operators (e.g., greater than, less than or equal to) before refining their search.

 

Results Viewer

The (2) Results Viewer displays the traits resulting from the users' refined search. Users can filter their results or adjust the viewer later on when they manage their search results.

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Variable

Functionality

 

Variable

Functionality

a.

Page title

Displays the tool name as the page title (e.g., “Traits”) for clear user orientation.

b.

Page Description

Provides a summary of the tool’s core functionality displayed in the active window.

c.

Number of selected items

Displays the number of currently selected traits, serving as a helpful reference to guide users in determining their next appropriate action.

d.

Toolbar

Hosts the essential icons and action buttons, enabling users to efficiently carry out management tasks related to their traits.

e.

View Item Count Summary

Displays the total number of traits currently visible in the browser.

 

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Variable

Functionality

 

Variable

Functionality

f.

Table headers

Provides users with search and filter functions, facilitating efficient access to relevant traits.

g.

Abbrev

Displays a short, but unique code that guides users when looking for a specific trait, usually structured as property_method_scale. An example is FLW_50DAYS_CONT, wherein:

  • FLW is the abbreviation for flowering

  • 50DAYS is the abbreviation for the number of days to 50% flowering

  • CONT is the abbreviation for continuous variable

  • Simply put, FLW_50DAYS_CONT is the trait used to look for days to 50% flowering.

h.

Label

Displays the shortened, simple identification of the trait to prevent confusion with other traits that have almost similar properties.

For example, FLW 50DAYS is the label for Days to 50% Flowering. This is to avoid confusion with another label Date of 50% flowering.

Sometimes, the label, name, and display name can be the same for a few traits.

i.

Name

Displays the given name of the trait, usually based on the Crop Ontology Curation tool.

Sometimes, the label, name, and display name can be the same for a few traits.

j.

Display Name

Displays the name of the trait that is seen in EBS or in other data collection software, often describes what the trait is about.

Sometimes, the label, name, and display name can be the same for a few traits.

k.

Data Type

Categorizes required data values to ensure precise and consistent data collection.. The following data types in EBS are:

  • boolean (e.g., true or false)

  • character varying (e.g., type of fertilizer)

  • date (e.g., 2021-05-04)

  • float (e.g., 1.5cm)

  • integer (e.g., 10 seeds)

  • text (e.g., observation remarks)

l.

Type

Classifies how the trait is being measured during data collection. The most common type is observation.

m.

Usage

Classifies the nature and application of the trait during data collection. The most common type is occurrence. The other is management.

n.

Data Level

Classifies the source of the trait data. For example, when collecting data for FLW_50DAYS_CONT (days to 50% flowering), the data values can be collected from each plot. For PANNO_SEL (number of panicles selected), the values can be collected from either plots or crosses.

o.

Status

States whether the trait is active or usable in EBS or inactive or obsolete.