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Sewall Green Wright FRS (For) [3] ForHonorary FRSE (December 21, 1889 – March 3, 1988) was an American geneticist known for his influential work on evolutionary theory and also for his work on path analysis.
ASN Award for Distinguished Achievement in the Conceptual Unification of the Biological Sciences, previously known as the Sewall Wright Award, [1] is given annually by the American Society of Naturalists to a "senior-level" and active investigator making fundamental contributions the conceptual unification of the biological sciences.
The shifting balance theory is a theory of evolution proposed in 1932 by Sewall Wright, suggesting that adaptive evolution may proceed most quickly when a population divides into subpopulations with restricted gene flow.
The coefficient of relationship is a measure of the degree of consanguinity (or biological relationship) between two individuals. The term coefficient of relationship was defined by Sewall Wright in 1922, and was derived from his definition of the coefficient of inbreeding of 1921.
May Wright Sewall (née Mary Eliza Wright; May 27, 1844 – July 22, 1920) was an American reformer, who was known for her service to the causes of education, women's rights, and world peace. She was born in Greenfield , Milwaukee County, Wisconsin .
Sewall Wright was the first to attach this significance to random drift and small, newly isolated populations with his shifting balance theory of speciation. [46] Following after Wright, Ernst Mayr created many persuasive models to show that the decline in genetic variation and small population size following the founder effect were critically ...
Its primary founders were Sewall Wright, J. B. S. Haldane and Ronald Fisher, who also laid the foundations for the related discipline of quantitative genetics. Traditionally a highly mathematical discipline, modern population genetics encompasses theoretical, laboratory, and field work.
Path analysis was developed around 1918 by geneticist Sewall Wright, who wrote about it more extensively in the 1920s. [2] [3] It has since been applied to a vast array of complex modeling areas, including biology, [4] psychology, sociology, and econometrics. [5]