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Journal of Heredity Advance Access originally published online on June 30, 2007
Journal of Heredity 2007 98(4):345-350; doi:10.1093/jhered/esm033
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© The American Genetic Association. 2007. All rights reserved. For permissions, please email: journals.permissions@oxfordjournals.org.

Computer Note

SASQuant: A SAS Software Program to Estimate Genetic Effects and Heritabilities of Quantitative Traits in Populations Consisting of 6 Related Generations

Gabriele Gusmini, Todd C. Wehner, and Sandra B. Donaghy

From Syngenta Seeds, Inc., 10290 Greenway Road, Naples, FL 34114 (Gusmini); Department of Horticultural Science, North Carolina State University, Raleigh, NC 27695-7609 (Wehner); and Department of Statistics, North Carolina State University, Raleigh, NC 27695-8203 (Donaghy)

Address correspondence to Todd C. Wehner at the address above, or e-mail: todd_wehner{at}ncsu.edu.

Plant breeders are interested in the analysis of phenotypic data to measure genetic effects and heritability of quantitative traits and predict gain from selection. Measurement of phenotypic values of 6 related generations (parents, F1, F2, and backcrosses) allows for the simultaneous analysis of both Mendelian and quantitative traits. In 1997, Liu et al. released a SAS software based program (SASGENE) for the analysis of inheritance and linkage of qualitative traits. We have developed a new program (SASQuant) that estimates gene effects (Hayman's model), genetic variances, heritability, predicted gain from selection (Wright's and Warner's models), and number of effective factors (Wright's, Mather's, and Lande's models). SASQuant makes use of traditional genetic models and allows for their easy application to complex data sets. SASQuant is freely available and is intended for scientists studying quantitative traits in plant populations.

Corresponding Editor: William Tracy

Received January 25, 2006
Accepted April 19, 2007


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