Using parent-offspring regression (determine the slope of a linear regression line on a scatter plot) to estimate the heritability of height from our combined class data.

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-Using phenotypic correlation between related individuals (calculate the robs using the covariance) to help a farmer determine how to improve the wool yield in his sheep and the milk production in his cows. -Using parent-offspring regression (determine the slope of a linear regression line on a scatter plot) to estimate the heritability of height from our combined class data. 1)Download the sample data 2)Download sample data(measurements of the quantitative traits: ″wool yield″ and ″milk production″) and the parent-offspring class datasheet (Links to an external site.). 3)Calculate the h2 value (be sure to use the correct method for calculating depending on the dataset). -For each method, discuss what your results mean & write your answers on a datasheet. 1)Is the observed phenotypic variance due to the additive effects of genetics? 2)Since this is narrow sense heritability, can you make any claims about the amount of variance due to environmental factors? Why or why not? 3)What advice might you give the farmer to help him increase his yield? 4)Explain how you would know which method to use for calculating narrow sense heritability.

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