Tuesday, 8 November 2005
11

A Jsl Script for the Layout and Analysis of the Honeycomb Selection Designs.

Vasilia A. Fasoula1, D. P. Batzios2, D. Roupakias3, Kevin C. Thompson4, and Andy Mauromoustakos4. (1) University of Georgia, Center for Applied Genetic Technologies, 111 Riverbend Road, Athens, GA 30602-6810, (2) National Agricultural Research Institute, Cotton and Industrial Plants Institute, Sindos 57400, Sindos, Greece, (3) Aristotle University of Thessaloniki, Dept. of Genetics & Plant Breeding, Thessaloniki, Greece, (4) Univ of Arkansas, Agri Stat Lab, AGRX 105, Fayetteville, AR 72701

The primary objective of plant breeders is to identify and select superior genotypes from among and within a broad array of genetic entries. Honeycomb designs are a set of systematic designs capable of handling a large number of genetic entries and a large number of replications. The designs sample effectively for environmental diversity by means of large number of moving replicates. These designs were developed to carry out efficient selection among genetic entries through the partition of crop yield into three genetic components and efficient selection of the best plants within the selected entries by means of the moving-ring single-plant selection. Single-plant selection in honeycomb trials starts from the very early generations of the plant breeding program, which speeds up the process of cultivar improvement and development. The first program developed for the analysis of the honeycomb trials was a QBASIC program. This paper will discuss the development of a JSL (JSL is the scripting language of JMP) script for implementing the selection and analysis of the designs, providing a powerful visual interface and user-friendly tools. Two examples of previously published data on honeycomb trials will be provided in order to show a step by step guidance on how the JLS script and the analytics of JMP can be used to select the appropriate honeycomb design, record the data and proceed with the analysis among the genetic entries. In addition, the user can explore the field layout to visualize the designs and the data recorded.

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