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Localization of genes

Piotr Szulc — 2015

Mathematica Applicanda

Development of genetics in recent years has led to a situation in which we are able to look at the DNA chains with high precision and collect vast amounts of information. In addition, it turned out that the relationships between genes and traits are more complex than previously thought. These two things caused the need for close collaboration between geneticists and mathematicians whose task is to develop special methods, coping with specific and difficult genetic problems. The article includes...

Localizing influential genes with modified versions of Bayesian Information Criterion

Małgorzata BogdanPiotr Szulc — 2012

Mathematica Applicanda

Regions of the genome that influence quantitative traits are called quantitative trait loci (QTLs) and can be located using statistical methods. For this aim scientists use genetic markers, whose genotypes are known, and look for the associations between these genotypes and trait values. The common method which can be used in this problem is a linear regression. There are many model selection criteria for the choice of predictors in a linear regression. However, in the context of QTL mapping, where...

The comparison of three models applied to the analysis of a three-factor trial on hybrid maize (Zea maysL.) cultivars

The aim of this paper is to present the comparison of three models applied to the analysis of a one-year study of protein yield for two types of hybrid maize cultivars under different forms of nitrogen fertilizer and doses of magnesium. The field trial was conducted in 2010 at the Agricultural Experimental Station in Swadzim (Poland). The results obtained were analyzed in terms of three randomization-derived models of observations. Consideration was given to three mixed systems, which are combinations...

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