genotypic

(redirected from genotypic variance)
Also found in: Thesaurus, Medical.
Related to genotypic variance: Quantitative genetics, genotypic value

gen·o·type

 (jĕn′ə-tīp′, jē′nə-)
n.
1. The genetic makeup, as distinguished from the physical appearance, of an organism or a group of organisms.
2. The combination of alleles located on homologous chromosomes that determines a specific characteristic or trait.
3. A specific combination of alleles at one or more loci on a chromosome.

[Greek genos, race; see genə- in Indo-European roots + Latin typus, type; see type.]

gen′o·typ′ic (-tĭp′ĭk), gen′o·typ′i·cal adj.
gen′o·typ′i·cal·ly adv.
ThesaurusAntonymsRelated WordsSynonymsLegend:
Adj.1.genotypic - of or relating to or constituting a genotype; "genotypical pattern"
Mentioned in ?
References in periodicals archive ?
Francis and Kannenberg's (1978) coefficient of variability (CVi) and genotypic variance (Eq.
There was a greater participation of genotypic variance among progenies in the individual phenotypic variance for fruit weight (FW) and pulp yield (PY) (Table 1) as well as soluble solids (SSC) and ascorbic acid (AAC) contents (Table 2), suggesting it is possible to select progenies with high yield and that produce better-quality fruit.
Among the most important genetic parameters for the selection of plants is the variance component, especially the genotypic variance (Cruz & Carneiro, 2003).
The genotypic variance (VG or sg2) is the variance due to the genotypes existing in the population and was calculated by the following formula:
i) Set arbitrary initial values for fixed effects (a), random genotype effects (g), genotypic variance component ([[sigma].
Genetic variation was evaluated in our experiment by obtaining estimates of genotypic variance components using the restricted maximum likelihood option of the SAS procedure VARCOMP (SAS 1999).
g](0) is the genotypic variance in the initial population and [h.
Genotypic variance is a parameter which represents the magnitude of heritable effects and genetic variation.
For all random regression models described above, 12 genotypic variance and covariance (G) matrices were tested: variance component (VC), compound symmetry (CS), unstructured (UN), first--order autoregressive (AIR[1]), first --order heterogeneous autoregressive (ARH[1]), heterogeneous compound symmetry (CSH), toeplitz (TOEP), first--order auto regressive moving average (ARMANI]), first--order and dependence (ANTE[1]), unstructured correlation (UNR), banded main diagonal (UN[1]), and Huynh-Feldt (H-F).