224-16 Smoothing As a Method for Data Analysis In Cotton within-Plant Boll Mapping.

Poster Number 806

See more from this Division: C02 Crop Physiology and Metabolism
See more from this Session: General Crop Physiology & Metabolism: II
Tuesday, October 18, 2011
Henry Gonzalez Convention Center, Hall C
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Glen Ritchie, Texas Tech / Texas Agrilife Research Station, Lubbock, TX, Jared Whitaker, University of Georgia, Statesboro, GA and Guy Collins, Crop and Soil Sciences, University of Georgia, Tifton, GA
One of the challenges associated with within-plant cotton plant mapping is the node-to-node variation within plants. Some of this variation is due to factors of interest, but this variation often results in increased variation within the sample. We tested the use of a between-node smoothing factor to decrease node-to-node variability in plant mapping. Smoothing decreased the within-sample variance, and in some cases increased the number of nodes at which significant treatment differences were observed. The total number of plants required to obtain a sample was decreased as well, making it possible to potentially plant map more samples in a season without increasing the time commitment.
See more from this Division: C02 Crop Physiology and Metabolism
See more from this Session: General Crop Physiology & Metabolism: II