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

Gabriele Gusmini | Zendy; Todd C. Wehner | Zendy; S. B. Donaghy | Zendy

Open Access

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

Author(s) -

Gabriele Gusmini,

Todd C. Wehner,

S. B. Donaghy

Publication year - 2007

Publication title -

journal of heredity

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.99

H-Index - 92

eISSN - 1471-8505

pISSN - 0022-1503

DOI - 10.1093/jhered/esm033

Subject(s) - heritability , biology , mendelian inheritance , selection (genetic algorithm) , inheritance (genetic algorithm) , quantitative trait locus , quantitative genetics , wright , linkage (software) , genetic analysis , genetic model , genetics , evolutionary biology , statistics , genetic variation , gene , computer science , machine learning , mathematics , programming language

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, F(1), F(2), 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.

The content you want is available to Zendy users.

Already have an account? Click here to sign in.

Having issues? You can contact us here

Accelerating Research