Introductory statistical genetics for plant breeding 2

Published on April 27, 2016   62 min

Other Talks in the Series: Statistical Genetics

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0:04
An overview of topics that we will be dealing with, we continue in deeper view on what genotype to phenotype models are, and then we get to examples of these genotype to phenotype models. We will talk about QTL mapping, QTL mapping strategies as an example of how to use genotype to phenotype models. We will look at an analysis of genotype-environment interaction via a model that is called Finlay Wilkinson model, Finlay Wilkinson regression. And then we will finish with an example of what we call multi environment trial QTL mapping in which we use rather a advanced statistical model to find out which g10 QTLs are driving our phenotypic variation.
0:45
Okay, let's start with our next section, in a sense this is the most important section, I think, of the talk. I'm going to talk in more detail about a number of classes of genotype to phenotype models.
0:58
So on this slide, at the bottom, we see a model formula in which the genotypic main effect is covered in red and the other terms refer, let's say, to the response that we can observe for a particular plot in an environment j or trial j or a genotype i. And then at each of these trials, we also have a randomized complete block design, so we have an extra term called bk(j) in which, let's say, there is a block that is nested within a trial. So if we take the whole of this formula, we have an interceptor Mu, we have the environmental main effect, let's say, a trial intercept, we have an effect for the block inside the trial, we have genetic effect, and we have a final error term. And for breeding purposes, it's specially this genetic main effect which is important. Now in this case, on purpose, I did not include a specific term for the genotype-environment interaction, so idea is here that we have a number of trials that will allow us to make selection out of a number of genotypes. And we focus, in this case, on the average effect across those different trials. The formula is also stated in words, you can read at yourself. Phenotype = Environment + Block within Environment + Genotype + Error. And so typically, if breeders perform a set of trials, there after selecting the genotype with the best underlying genetic effect, this is also called the breeding value in many contexts.
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Introductory statistical genetics for plant breeding 2

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