View source: R/calcNeSexRatio.R
| calcNeSexRatio | R Documentation |
Part of the Genetic Value Analysis
calcNeSexRatio(ped)
ped |
Pedigree data.frame with |
The sex-ratio effective size, Ne = 4 * nMale * nFemale /
(nMale + nFemale), is the effective population size implied by an unequal
breeding sex ratio, where nMale and nFemale are the numbers of
current living breeders that are known male and known female. It quantifies
the diversity lost when many of one sex are bred to few of the other (as in a
harem colony): it equals the census count when the sexes are balanced and
falls toward four times the rarer sex as the ratio skews.
The breeders are the current living breeders of ped (living animals
that appear as a sire or dam, excluding auto-generated unknown parents),
independent of which animals are selected as probands – a different
population than the analysis-set founder statistics (calcFE,
calcFG, calcGeneDiversity). Only animals with a
known sex ("M" or "F") are counted; unknown and hermaphrodite
breeders are excluded. When either sex is absent among the living breeders
(nMale == 0 or nFemale == 0, including no living breeders at
all), the result is 0: a single breeding sex contributes no diversity
from sex balance.
Like all effective-size estimators this idealizes a Wright-Fisher population (constant size, discrete generations, random union of gametes within each sex); a managed colony departs from those assumptions, so read the result as a sex-ratio index rather than a literal head count.
The sex-ratio effective size, a single non-negative number; 0
when either breeding sex is absent among the living breeders.
Crow, J. F. and Kimura, M. (1970) An Introduction to Population Genetics Theory. Harper and Row, New York.
calcGeneDiversity
Other genetic value analysis:
calcA(),
calcFE(),
calcFEFG(),
calcFG(),
calcFGSE(),
calcGU(),
calcGUSE(),
calcGeneDiversity(),
calcNeVariance(),
calcRetention()
ped <- data.frame(
id = c("s1", "d1", "d2", "k1", "k2"),
sire = c(NA, NA, NA, "s1", "s1"),
dam = c(NA, NA, NA, "d1", "d2"),
sex = c("M", "F", "F", "M", "F"),
exit = c(NA, NA, NA, NA, NA),
stringsAsFactors = FALSE
)
calcNeSexRatio(ped) # 4 * 1 * 2 / (1 + 2) = 2.666667
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.