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Analysis of conditional genetic effects and variance components in developmental genetics.
Author(s) -
Jianguo Zhu
Publication year - 1995
Publication title -
genetics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.792
H-Index - 246
eISSN - 1943-2631
pISSN - 0016-6731
DOI - 10.1093/genetics/141.4.1633
Subject(s) - biology , conditional variance , genetics , variance components , statistics , genetic variation , genetic model , variance (accounting) , epistasis , evolutionary biology , mathematics , econometrics , gene , volatility (finance) , accounting , business , autoregressive conditional heteroskedasticity
A genetic model with additive-dominance effects and genotype x environment interactions is presented for quantitative traits with time-dependent measures. The genetic model for phenotypic means at time t conditional on phenotypic means measured at previous time (t-1) is defined. Statistical methods are proposed for analyzing conditional genetic effects and conditional genetic variance components. Conditional variances can be estimated by minimum norm quadratic unbiased estimation (MINQUE) method. An adjusted unbiased prediction (AUP) procedure is suggested for predicting conditional genetic effects. A worked example from cotton fruiting data is given for comparison of unconditional and conditional genetic variances and additive effects.

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