JSM 2005 - Toronto

Abstract #303678

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Legend: = Applied Session, = Theme Session, = Presenter
Activity Number: 330
Type: Contributed
Date/Time: Tuesday, August 9, 2005 : 2:00 PM to 3:50 PM
Sponsor: Section on Statistical Computing
Abstract - #303678
Title: Honeycomb Designs and Analysis Software
Author(s): Andy Mauromoustakos*+ and Kevin Thompson and Vasilia Fasoula and D. P. Batzios and Dimitris Roupakias
Companies: University of Arkansas and University of Arkansas and University of Georgia and Cotton and Industrial Plants Institute and Aristotle University of Thessaloniki
Address: 101 AGRX Agri Stat Lab, Fayetteville, AR, 72701, United States
Keywords: Honeycomb Designs ; Honey ; JMP ; SAS
Abstract:

Honeycomb designs (Fasoula and Fasoula 1995) are a set systematic hexagonal pattern designs with the same plant-to-plant spacing. They were developed to better address effective plant selection among and within genetic entries. These designs accomplish their goal by incorporating spatial field variability and environmental diversity. Honey was a QBASIC program developed to help plant breeders adopt, select, and analyze the data from such designs (Batzios and Roupakias 1997). This paper discusses two new programs: a JMP script and a SAS macro developed for advancing this technology, making its implementation easier and more visual. Examples with screen captures from the new programs will illustrate how one can use the freely available code by the authors for implementing this work with these two statistical packages.

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Revised March 2005