Program and sample data for SASHAYDIALL: A SAS Program for Hayman’s Diallel Analysis

SASHAYDIALL is a code written in SAS to perform diallel analysis according to the method of Hayman (1954). The SASHAYDIALL program was written in SAS/IML and runs in SAS version 9.0 or higher. The SASHAYDIALL program requires an input ‘csv’ format data file that has replication, parent 1, parent 2, and the trait of interest for a single site experiment. For data obtained from multiple environments, the user should include a variable for the locations. The locations or environments should be numbered sequentially in the ‘csv’ file. The file with data to be analyzed can be saved in any directory on the computer. The user is only required to specify the location and name of the data file to be analyzed in the SASHAYDIALL program. The program automatically detects the number of parents and presence or absence of reciprocals in the diallel cross data set. Before analysis can proceed, the user is required to provide responses in two input windows: one window for variable information and the other to indicate whether the data to be analyzed is from single or multiple environments. The SASHAYDIALL program will then ran ANOVA for the diallel table, create variances and covariances, calculate second degree statistics, test adequacy of the additive-dominance model, and estimate various genetic parameters including heritability. The program also plots a Wr–Vr graph and is not computationally intensive. More details can be found in a paper in Crop Science 58:1605–1615: https://dx.doi.org/10.2135/cropsci2018.01.0047.

Data and Resources

Additional Info

Field Value
Author Makumbi, Dan, Alvarado, Gregorio, Crossa, Jose, Burgueño, Juan
Maintainer CIMMYT Research Data & Software Repository Network
Last Updated January 20, 2025, 15:20 (UTC)
Created January 20, 2025, 15:20 (UTC)
contributor Dreher, Kate
creator Makumbi, Dan
date 2018-05-05T00:00:00
harvest_object_id bce34f0e-67f9-40ec-937c-f9ff669b0c45
harvest_source_id a58b0729-e941-4389-816d-5823f01c0d28
harvest_source_title CIMMYT Research Data
identifier https://hdl.handle.net/11529/10548045
language English
metadata_modified 2024-10-26T07:00:03
set_spec cimmytswdvn