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4.2.8 Variance components of a quantitative trait
ОглавлениеThe genetics of a quantitative trait centers on the study of its variation. As D.S. Falconer stated, it is in terms of variation that the primary genetic questions are formulated. Further, the researcher is interested in partitioning variance into its components that are attributed to different causes or sources. The genetic properties of a population are determined by the relative magnitudes of the components of variance. In addition, by knowing the components of variance, one may estimate the relative importance of the various determinants of phenotype.
K. Mather expressed the phenotypic value of quantitative traits in this commonly used expression:
Individuals differ in phenotypic value. When the phenotypes of a quantitative trait are measured, the observed value represents the phenotypic value of the individual. The phenotypic value is variable because it depends on genetic differences among individuals, as well as environmental factors and the interaction between genotypes and the environment (called G × E interaction). A third factor (GE) is therefore added to the previous conceptual equation so that the total variance of a quantitative trait may be mathematically expressed as follows:
where VP = total phenotypic variance of the segregating population; VG = genetic variance; VE = environmental variance; and VGE = variance associated with the genetic and environmental interaction.
The genetic component of variance may be further partitioned into three components as follows:
where VA = additive variance (variance from additive gene effects); VD, = dominance variance (variance from dominance gene action); and VI = interaction (variance from interaction between genes). Additive genetic variance (or simply additive variance) is the variance of breeding values and is the primary cause of resemblance between relatives. Hence VA is the primary determinant of the observable genetic properties of the population, and of the response to the population to selection. Further, VA is the only component that the researcher can most readily estimate from observations made on the population. Consequently, it is common to partition genetic variance into two – additive versus all other kinds of variance. This ratio, VA/VP, gives what is called the heritability of a trait, an estimate that is of practical importance in plant breeding.
The total phenotypic variance may then be rewritten as follows:
To estimate these variance components, the researcher uses carefully designed experiments and analytical methods. To obtain environmental variance, individuals from the same genotype or replicates are used.
An inbred line (essentially homozygous) consists of individuals with the same genotype. An F1 generation from a cross of two inbred lines will be heterozygous but genetically uniform. The variance from the parents and the F1 may be used as a measure of environmental variance (VE). K. Mather provided procedures for obtaining genotypic variance from F2 and backcross data. In sum, variances from additive, dominant, and environmental effects may be obtained as follows:
(where VP1 and VP2 are variances for the parents in a cross; VF1 is the variance of the resulting hybrid; F2 is the variance of the F2 population; A and D are additive and dominant effects, respectively; E is the environmental effect; VB1 and VB2 are backcross variances). This represents the most basic procedure for obtaining components of genetic variance since it omits the variances due to epistasis, which are common with quantitative traits. More rigorous biometric procedures are needed to consider the effects of interlocular interaction.
It should be pointed out that additive variance and dominance variance are statistical abstractions rather than genetical estimates of these effects. Consequently, the concept of additive variance does not connote perfect additivity of dominance or epistasis. To exclude the presence of dominance or epistasis, all the genotypic variance must be additive.