SASQuant

SASQuant performs quantitative genetic analysis to estimate gene effects, genetic variances, heritability, predicted selection gains, and numbers of effective factors in plant breeding populations.

Key Features:

• Gene effect estimation: Estimates gene effects using Hayman's model.
• Genetic variance analysis: Calculates genetic variances to quantify genetic contributions to trait variation.
• Heritability estimation: Estimates heritability to determine the proportion of phenotypic variation attributable to genetic factors.
• Predicted gain from selection: Predicts selection response using Wright's and Warner's models.
• Effective factor analysis: Estimates the number of effective factors using Wright's, Mather's, and Lande's models.
• Multi-generation analysis: Analyzes phenotypic data across parents, F1, F2, and backcross generations.
• Mendelian and quantitative trait analysis: Supports simultaneous analysis of Mendelian and quantitative traits.

Scientific Applications:

• Plant breeding genetic analysis: Quantifies genetic effects and heritability across parents, F1, F2, and backcrosses to inform selection strategies.
• Study of inheritance patterns: Dissects contributions of genes and numbers of effective factors to understand complex and Mendelian inheritance.

Methodology:

Computations include gene-effect estimation via Hayman's model; calculation of genetic variances and heritability; prediction of selection gains using Wright's and Warner's models; and estimation of effective factor numbers using Wright's, Mather's, and Lande's models.