Accounting for expected linkage in biometric analysis of quantitative traits
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MIKHAILOV, Mihail. Accounting for expected linkage in biometric analysis of quantitative traits. In: Russian Journal of Genetics, 2015, vol. 51, nr. 8, pp. 818-826. ISSN 1022-7954. DOI: https://doi.org/10.1134/S1022795415060113
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Russian Journal of Genetics
Volumul 51, Numărul 8 / 2015 / ISSN 1022-7954 /ISSNe 1608-3369

Accounting for expected linkage in biometric analysis of quantitative traits

DOI:https://doi.org/10.1134/S1022795415060113

Pag. 818-826

Mikhailov Mihail
 
Institute of Genetics, Physiology and Plant Protection of the Moldovan Academy of Sciences
 
 
Disponibil în IBN: 19 aprilie 2023


Rezumat

 The problem of accounting for a genetic estimation of expected linkage in the disposition of random loci was solved for the additive-dominant model. The Comstock–Robinson estimations for the sum of squares of dominant effects, the sum of squares of additive effects, and the average degree of dominance were modified. Also, the Wright’s estimation for the number of loci controlling the variation of a quantitative trait was modified and its application sphere was extended. Formulas that should eliminate linkage, on average, were derived for these estimations. Nonbiased estimations were applied to the analysis of maize data. Our result showed that the most likely cause of heterosis is dominance rather than overdominance and that the main part of the heterotic effect is provided by dozens of genes.

Cuvinte-cheie
article, biometry, dominant inheritance, gene frequency, gene locus, genetic linkage, genetic recombination, genotype, haploidy, Heterosis, heterozygote, homozygote, Hybrid, Maize, mathematical model, multifactorial inheritance, nonhuman, plant gene, plant genetics, population productivity