Cotton Wizard Decision Aid


Launch WebsiteThe Cotton Wizard is a user-friendly, Web-based software application of a cotton variety selection model. The application automates the previously time-consuming task of searching through and analyzing large amounts of agronomic and economic data on cotton varieties. The application is easy to use and has flexibility with respect to the information that can be obtained. The application is interactive, requiring user input to obtain results. Users with some knowledge of statistics will understand the results provided by the application more easily than users without statistical experience.

The Cotton Wizard application is available from the Agricultural and Applied Economics Department, Texas Tech University (MS 2132, Lubbock, TX 79409). The application can be accessed at: Funding was provided by Cotton Incorporated.

The Cotton Wizard software application was designed so the user can follow a series of logical steps to obtain the information necessary to compare and select cotton varieties. The interface consists of a Data Selection pane and five sheets.

  • Sheet 1: Dataset
  • Sheet 2: Prices and Costs
  • Sheet 3: Head-to-Head Results
  • Sheet 4: Graph
  • Sheet 5: Stability Analysis

The Data Selection pane is where the user chooses the data for analysis. The selected data can be viewed on the Dataset sheet. The user enters information on Sheet 2 such as: prices for base qualities of lint and seed; harvest and gin processing costs; and planting seed cost information. Using the cotton performance test data, the Cotton Wizard processes the information input by the user and selects cotton varieties that may be appropriate for the particular situation. The Cotton Wizard then provides agronomic and economic information on these varieties in a head-to-head comparison on Sheet 3. Note that the Cotton Wizard does not choose a particular variety, but provides information that is useful in deciding which variety to plant. The user can generate graphs (Sheet 4) and a stability analysis can be run to compare varietal performance across environments (Sheet 5).


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