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M. I. Clarkson

dblp:75/4832 · DBLP profile ↗
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1ranked-venue papers
0as first author
0since 2021 · last 1993
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Applied, interdisciplinary, general and emerging computing · 1

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Interdisciplinary, comprehensive, and emerging computing
1 paper
Bioinformatics and computational biology · 100%

Topics — the 1 heaviest of 2, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Bioinformatics and computational biology › statistical genetics › genetic data simulation
quantitative genetics simulation
0.011993
Computer simulation of selection in a hypothetical crop species · Comput. Appl. Biosci. 1993

Methods — techniques the papers use, named apart from their topics

phenotypic truncation selection modeling · 0.0monte carlo simulation · 0.0
YearPublicationVenuePosition
1993 Computer simulation of selection in a hypothetical crop species
abstract
A computer simulation model demonstrating the effect of directional selection upon a simplified quantitative genetic character, is presented. Complementary homozygous parents were crossed to generate a fully heterozygous F1 population. Phenotypic truncation selection was effected upon the F2 and subsequent generations, and genotypic and phenotypic response to selection, as well as the change in population heterozygosity, was monitored to generation F9. The model simulates selection for alternative breeding regimes, modes of allelic interaction, selection pressure, population size and levels of environmental variation. Three alternative methods for the simulation of the environmental component of phenotypic variance are incorporated, and mechanisms and relative merits of the rival methods are discussed. Data generated by the model conformed closely to theoretical expectation, lending support to the use of the model as a platform for development of more comprehensive simulation models. Potential improvements to the model are discussed.
P. L. Partner, M. L. Smith, W. Spoor, M. I. Clarkson
Comput. Appl. Biosci.4