2000
DOI: 10.1590/s1415-47572000000400030
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Components of variation of polygenic systems with digenic epistasis

Abstract: In this paper an extension of the biometric model of Mather and Jinks for the analysis of variation with digenic epistasis is presented. Epistatic effects can contribute favorably to the determination of the genotypic values of selected individuals or families and of superior hybrids. Selection will be inefficient, however, if there is a large number of interacting genes because the epistatic components of the between-family and within-family genotypic variances are very high compared to the portion attributab… Show more

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Cited by 14 publications
(12 citation statements)
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“…A part of such negative variances can be due to the non-allelic interactions, which introduce some uncertainty into the estimates of variances in segregating populations (Mather & Jinks, 1974). If the number of interacting genes is relatively high, the differences between epistatic genetic values of the individuals account for almost the entire genotypic variance, causing low estimates of heritability and biased estimates of the additive and dominance components (Viana, 2000). The magnitude of the additive × additive components should be assessed towards developing superior pure lines (Viana, 2000), but a more accurate evaluation of the epistatic components of variation requires the analysis of specific crosses built for this purpose (Khattak et al, 2001).…”
Section: Discussionmentioning
confidence: 99%
“…A part of such negative variances can be due to the non-allelic interactions, which introduce some uncertainty into the estimates of variances in segregating populations (Mather & Jinks, 1974). If the number of interacting genes is relatively high, the differences between epistatic genetic values of the individuals account for almost the entire genotypic variance, causing low estimates of heritability and biased estimates of the additive and dominance components (Viana, 2000). The magnitude of the additive × additive components should be assessed towards developing superior pure lines (Viana, 2000), but a more accurate evaluation of the epistatic components of variation requires the analysis of specific crosses built for this purpose (Khattak et al, 2001).…”
Section: Discussionmentioning
confidence: 99%
“…Genetics quantitative is largely influenced by the additive theory (Wagner et al, 1998). Epistatic effects are not involved in genetic studies for the theoretical complexity of the statistical studies by introducing the epistatic component (Viana, 2000). Until recently, empirical work on this fundamental issue has been limited partly because of the absence of reliable quantitative genetic approaches for quantifying epistasis (Whitlock et al, 1995;Fenster et al, 1997).…”
Section: Complexity Of Model and Lack Of Methods Of Investigationmentioning
confidence: 99%
“…In contrast, epistasis is common in gene systems that determine quantitative traits, it is also a major problem in studies of these traits because it complicates the interpretation of genetic experiments and makes predictions difficult (Viana, 2000). The importance of epistasis is not well understood, and its contribution to quantitative variation was once considered to be small (Crow, 1987).…”
Section: Introductionmentioning
confidence: 99%
“…Because of the complexity of theoretical genetics studies on epistasis, there is a lack of information about the contribution of the epistatic components of genotypic variance when predicting gains from selection. The estimation of epistatic components of genotypic variance is unusual in genetic studies because the limitation of the methodology, as in the case of the triple test cross, the high number of generations to be produced and assessed (Viana, 2000), and mainly because only one type of progeny, Half-Sib, Full-Sib or inbred families, is commonly included in the experiments (Viana, 2005). If there is no epistasis, generally it is satisfactory to assess the selection efficiency and to predict gain based on the broad-sense heritability.…”
Section: Introductionmentioning
confidence: 99%