Black is beautiful

I'd point out that a couple of those, such as the "brewers duck" shown are actually F-2's rather than F-1's. Most duck hybrids are fertile and the F-2's show a range of phenotypic values.

Clint


To expand & clarify what Clint pointed out:

Phenotypic values [/url]are calculated from the genotypic values for each individual for each trait. Each individual's phenotypic value is calculated from its genotypic value with an environmental effect determined by the heritability [/url]
img92.png
. The individual's genotypic value is based on the alleles it inherited at the quantitative trait loci. To calculate genetic values, we use Cockerham's general genetic model :

[/url]
img93.png
img64.png
img94.png
img95.png
(2.8)



The parameters
img96.png
are the additive and dominance effects of QTL
img97.png
. The
img98.png
's are epistatic interactions. The superscripts on the
img98.png
's are for the type of interaction: We distinguish between additive by additive (AA), additive by dominance (AD), dominance by additive (DA) and dominance by dominance (DD) interactions. The
img99.png
and
img100.png
are coded variables denoting the genotype of the QTL. The
img101.png
take on values
img102.png
for QTL genotypes
img103.png
, while the
img104.png
are
img105.png
for heterozygotes and
img106.png
for homozygotes.
This results in a vector of genotypic values, one entry per individual in the simulated data set. The genetic variance [/url]is the sample variance of this vector of genotypic values. Call it
img107.png
. The environmental [/url]variance,
img108.png
is defined by
img109.png
(2.9)


where
img92.png
is the heritability [/url]of the trait. The extra environmental effect is taken from a normal distribution with mean 0 and variance
img108.png
. If the environmental variance is specified, the heritability is ignored and the environmental variance is used directly. For each individual in the data set, a random variable with mean zero and variance
img108.png
is generated and added to the genotypic value. This is the phenotypic value [/url]of that individual.

"....And that, Normie, is what this thread means"

View attachment beer_cheers-cliff-norm.jpg
 
Bob, that's clear as mud to me:0 I guess i should of payed more attenition to biology class than girls biology way back when. Mulitply that equation by Wisconson game laws and you get sucked into a worm hole! But thanks for the attempt to clear it up. My head hurts now, I may have to take a nap. Isn't retirement grand.


Gene
 
I'd point out that a couple of those, such as the "brewers duck" shown are actually F-2's rather than F-1's. Most duck hybrids are fertile and the F-2's show a range of phenotypic values.

Clint


To expand & clarify what Clint pointed out:

Phenotypic values [/url]are calculated from the genotypic values for each individual for each trait. Each individual's phenotypic value is calculated from its genotypic value with an environmental effect determined by the heritability [/url]
img92.png
. The individual's genotypic value is based on the alleles it inherited at the quantitative trait loci. To calculate genetic values, we use Cockerham's general genetic model :

[/url]
img93.png
img64.png
img94.png
img95.png
(2.8)



The parameters
img96.png
are the additive and dominance effects of QTL
img97.png
. The
img98.png
's are epistatic interactions. The superscripts on the
img98.png
's are for the type of interaction: We distinguish between additive by additive (AA), additive by dominance (AD), dominance by additive (DA) and dominance by dominance (DD) interactions. The
img99.png
and
img100.png
are coded variables denoting the genotype of the QTL. The
img101.png
take on values
img102.png
for QTL genotypes
img103.png
, while the
img104.png
are
img105.png
for heterozygotes and
img106.png
for homozygotes.
This results in a vector of genotypic values, one entry per individual in the simulated data set. The genetic variance [/url]is the sample variance of this vector of genotypic values. Call it
img107.png
. The environmental [/url]variance,
img108.png
is defined by
img109.png
(2.9)


where
img92.png
is the heritability [/url]of the trait. The extra environmental effect is taken from a normal distribution with mean 0 and variance
img108.png
. If the environmental variance is specified, the heritability is ignored and the environmental variance is used directly. For each individual in the data set, a random variable with mean zero and variance
img108.png
is generated and added to the genotypic value. This is the phenotypic value [/url]of that individual.

I love it Bob. Thanks for the laugh.

Now lets start the discussion on the utility of Cockerham's General Model in this situation.

Here is a test. How many sentences of this abstract do you understand? Tod and Clint, you are already disqualified.

Modeling and detecting nonallelic (epistatic) effects at multiple quantitative trait loci (QTL) often assume that the study population is in zygotic equilibrium (i.e., genotypic frequencies at different loci are products of corresponding single-locus genotypic frequencies). However, zygotic associations can arise from physical linkages between different loci or from many evolutionary and demographic processes even for unlinked loci. We describe a new model that partitions the two-locus genotypic values in a zygotic disequilibrium population into equilibrium and residual portions. The residual portion is of course due to the presence of zygotic associations. The equilibrium portion has eight components including epistatic effects that can be defined under three commonly used equilibrium models, Cockerham's model, F2-metric, and F(infinity)-metric models. We evaluate our model along with these equilibrium models theoretically and empirically. While all the equilibrium models require zygotic equilibrium, Cockerham's model is the most general, allowing for Hardy-Weinberg disequilibrium and arbitrary gene frequencies at individual loci whereas F2-metric and F(infinity)-metric models require gene frequencies of one-half in a Hardy-Weinberg equilibrium population. In an F2 population with two unlinked loci, Cockerham's model is reduced to the F2-metric model and thus both have a desirable property of orthogonality among the genic effects; the genic effects under the F(infinity)-metric model are not orthogonal but they can be easily translated into those under the F2-metric model through a simple relation. Our model is reduced to these equilibrium models in the absence of zygotic associations. The results from our empirical analysis suggest that the residual genetic variance arising from zygotic associations can be substantial and may be an important source of bias in QTL mapping studies.


Rong-Cai Yang, Genetics. 2004 July; 167(3): 1493–1505.
 
I think it all means that hybrids look different and that second generation hybrids look more different than first generation hybrids.

Sure am glad I'm retired and have the time to look up all this stuff! ;-)
 
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