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Types of Selection01:46

Types of Selection

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Natural selection influences the frequencies of particular alleles and phenotypes within populations in several different ways. Primarily, natural selection can be directional, stabilizing, or disruptive. Directional selection favors one extreme trait and shifts the population towards that phenotype while selecting against individuals displaying alternate traits. Stabilizing selection favors an intermediate trait with a narrow range of variation. Deviation from the optimal phenotype towards an...
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The principle of natural selection posits that organisms better adapted to their environment are more likely to survive and reproduce. This principle is closely intertwined with mating preferences, a key aspect of sexual selection, which evolutionary psychologists believe is driven by instincts to propagate one's genes. Such instincts significantly influence mating behaviors and preferences between genders.
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Natural selection is an evolutionary process in which individuals with survival-promoting traits reproduce at higher rates. These favorable traits become more common within a population or species. Naturally selected traits initially arise via random genetic mutations. In order for selection to occur, there must be variation within a population, the trait controlling the variation must be heritable, and there must be an evolutionary advantage for variation in the trait.
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When the fitness of a trait is influenced by how common it is (i.e., its frequency) relative to different traits within a population, this is referred to as frequency-dependent selection. Frequency-dependent selection may occur between species or within a single species. This type of selection can either be positive—with more common phenotypes having higher fitness—or negative, with rarer phenotypes conferring increased fitness.
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The accurate values of population parameters such as population proportion, population mean, and population standard deviation (or variance) are usually unknown. These are fixed values that can only be estimated from the data collected from the samples. The estimates of each of these parameters are sample proportion, the sample mean, and sample standard deviation (or variance). To obtain the values of these sample statistics, data are required that have particular distribution and central...
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In general, the sign test serves as a nonparametric method to test hypotheses about the median of a single population when the data does not follow a known distribution. This simplicity makes it particularly useful for small sample sizes or when the assumptions of parametric tests cannot be met. The process begins with identifying a null hypothesis, typically stating that the population median equals a specific value. The alternative hypothesis could be that the median is either not equal to,...
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Selection index theory for populations under directional and stabilizing selection.

Robin Wellmann1

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Summary

A new optimum selection index maximizes breed profit by incorporating stabilizing selection, moving traits toward optima, and reducing variance. This index considers breeding values, QTL, and kinship for improved genetic gain and inbreeding management.

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Area of Science:

  • Animal breeding and genetics
  • Quantitative genetics
  • Livestock production

Background:

  • Traditional selection index theory is limited to directional selection, failing to optimize traits with intermediate optima.
  • Maximizing breed profit requires considering both directional and stabilizing selection for traits like conformation and product quality.

Purpose of the Study:

  • To develop an extended selection index theory that accommodates both directional and stabilizing selection.
  • To create an optimum selection index that maximizes breed profit across various selection scenarios.

Main Methods:

  • The study extends traditional selection index theory to include stabilizing selection.
  • The optimum selection index is formulated to account for breeding values, squared breeding values, and genetic markers (QTL).

Main Results:

  • The optimum selection index drives trait means toward optima and decreases phenotypic variance under stabilizing selection.
  • The index incorporates breeding values, squared breeding values, QTL allele content and heterozygosity, inbreeding coefficient, and kinship.

Conclusions:

  • The optimum selection index promotes fixation of major QTL alleles as trait means approach optima, increasing breed profit.
  • Kinship weighting balances genetic gain from outcrossing with gains from reduced variance under stabilizing selection.
  • Combining ability emerges as a key parameter for mate allocation to optimize offspring phenotypes.