fab,,,,but what is the line gravitating to?,,,,
would is the soloution to inbreeding depreshion??,,,,,,,,,,,,[just high Ne numbers?]
would is the soloution to inbreeding depreshion??,,,,,,,,,,,,[just high Ne numbers?]
Bombadil360. Here is my brief explanation of Ne.
Effective breeding population is one of the most basic parameters of population genetics. The idealised Ne is by definition infinitely large and diverse and fully represents all the potential genetic expressions in the population.
The actual calculation is fairly simple arithmetic and goes as follows:
Ne = 4 * (# of Males) * (# of Females) / (# of Males) + (# of Females)
For example a grower selects 1 male and 500 females for breeding. The effective breeding population is; (4) * (1) * (500) / (500+1) = 4. The effective breeding population can never be larger than the number of males selected for breeding. Another example 50 males 10 females Ne becomes 2000/60 or 33.33.
I read the article by DJ Short regarding his breeding of the famous Blueberry wherein he states that he only uses one male for his breeding selections. That might help explain why Blueberry is so resistant to breeding improvement. To quote, "Second, I select only one male from any single breeding project. Again, this simplifies things and avoids mistakes enormously. That male is generally selected at about the third week in the flowering cycle, unless it is a clone from another project".
By and large most cannabis breeders tend to ignore matters like effective breeding population when making their selections for males.
To expand on the basic concept of Ne one must consider how Ne effects the F statistic (Coefficient of Inbreeding).
So let's assume an NE of say 4. The decline in heterozygosity or rate of inbreeding at from the first generation would be: F1 = (1) / (2 * Ne) or 1 / (2 * 4) = .125.
With each subsequent generation the decline in heterozygosity is cumulative. Take generation F6
F6 = 1 - (1 - F1) ^ 6 = 1 - (1 - .125) ^ 6 = .551
By the 6th generation 55% of the genetic diversity will have been lost in the line. By the 12th generation 1 - (.87.5) ^ 12 = 80 % of the genetic diversity will have been eliminated.
The larger the Ne the lower the rate is the actual loss of diversity through inbreeding.
imo,,,he aquired the intersexed traits because he only used 50 plants a time to select from,,i think he must have picked up some recessive intersexed traits,,dont ya think doc?
Inbreeding depression is the result of the compounding effect of negative recessive alleles as opposed as the mere act of inbreeding a line. A lot of the poly hybrid bunk lines out there today suffer from out crossing depression also known as unstable heterosis. In both of these instances the intermediate phenotype has a low level of relative fitness with the fittest plants being at the extreme ends of the population curve.
Yeah from the Thai sides... although this may or may not have been a recessive trait when selected.
Inbreeding depression is the result of the compounding effect of negative recessive alleles as opposed as the mere act of inbreeding a line. A lot of the poly hybrid bunk lines out there today suffer from out crossing depression also known as unstable heterosis. In both of these instances the intermediate phenotype has a low level of relative fitness with the fittest plants being at the extreme ends of the population curve.
A realistic goal might be to have an effective Ne of say between 32 and 64 at F2. Less than perfect indeed, but it will at least afford the opportunity to determine the intermediate phenotype, calculate the dominant and recessive ratios and get some idea if it is worth continuing on with the line.
Most of the genetic drift happened ages ago when the Dutch comercialised the cannabis seed business. None of that can be undone.
It is almost impossible to avoid genetic drift unless the Ne or effective breeding population is around 7000 plants. It is a numbers game with respect to preserving alleles in a population and creating a true breeding line. Once a line has been genetically bottlenecked there isn't much one can do to replace the lost diversity.
Pollinating a select clone with a select male plant really doesn't do much to enhance the diversity.
Another term for genetic drift is sampling error and the smaller the effective Ne the higher the probability of that happening, simply as a random event. Its been a long time since I studied quantitative genetics, but the math and probabilities get pretty daunting when the population is very small.
i thought Clarke said x2000 was enough to hit good figures,,,
How did you get the 2000 plants number?
According to the article you refer to the number of plants needed to preserve '99%' of genetic diversity is directly dependend on the number of alleles and locii. What are these numbers for cannabis? Crossa talks about maize...
How do you exercise gamete control (which is one premise of Crossa's work) in a population of 2000+?
There's is ircc a revised version of Crossa's work (from 1998?) which addresses some shortcomings of the 1993 article.
Edit: Attached Crossa 1993
Cuzin Dave said:So let's assume an NE of say 4. The decline in heterozygosity or rate of inbreeding at from the first generation would be: F1 = (1) / (2 * Ne) or 1 / (2 * 4) = .125.
With each subsequent generation the decline in heterozygosity is cumulative. Take generation F6
F6 = 1 - (1 - F1) ^ 6 = 1 - (1 - .125) ^ 6 = .551
By the 6th generation 55% of the genetic diversity will have been lost in the line. By the 12th generation 1 - (.87.5) ^ 12 = 80 % of the genetic diversity will have been eliminated.
How did you get the 2000 plants number?
According to the article you refer to the number of plants needed to preserve '99%' of genetic diversity is directly dependend on the number of alleles and locii. What are these numbers for cannabis? Crossa talks about maize...
How do you exercise gamete control (which is one premise of Crossa's work) in a population of 2000+?
There's is ircc a revised version of Crossa's work (from 1998?) which addresses some shortcomings of the 1993 article.
Edit: Attached Crossa 1993, Wang et al. 2004 (Statistical Genetics and Simulation Models in Genetic Resource Conservation and Regeneration)