You depicted accuracy as h2 in the formula of R however in the visualization of you are plotting Y as accuracy against heritability h2. Is this h2 and accuracy have common notation or they are same.
Dear Sofi, this is a great question. In the plot you're referring to the x axis represent the plot heritability while in the y axis we have the accuracy shown as the correlation between the true and estimated breeding value (this plot is only possible because in simulation we know the true breeding value). In the QG theory when the response to selection is derived (R), under the simplest scenario of a single record per entry the h2 and accuracy2 are the same. This changes when multiple record are obtained 9as usual is), and then the accuracy is not directly obtained from the h2, instead the accuracy (r) is a function of the h2, the repeatability (correlation between reps), and the number of observations. I hope this helps.
Great video👌🏻
You depicted accuracy as h2 in the formula of R however in the visualization of you are plotting Y as accuracy against heritability h2. Is this h2 and accuracy have common notation or they are same.
Dear Sofi, this is a great question. In the plot you're referring to the x axis represent the plot heritability while in the y axis we have the accuracy shown as the correlation between the true and estimated breeding value (this plot is only possible because in simulation we know the true breeding value). In the QG theory when the response to selection is derived (R), under the simplest scenario of a single record per entry the h2 and accuracy2 are the same. This changes when multiple record are obtained 9as usual is), and then the accuracy is not directly obtained from the h2, instead the accuracy (r) is a function of the h2, the repeatability (correlation between reps), and the number of observations. I hope this helps.