handout16 - Lecture 16 Quantitative Traits Quantitative...

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1 Lecture 16 Quantitative Traits Quantitative Traits many loci measured traits environmental influence Consequences can’t see the effect of a single gene among the many involved must separate genotypic effect from environmental effect P = m + G + E E = all non- genetic effects G = BV + DOM + EPI BV = sum of all the individual gene effects DOM = sum of all the pair effects EPI = sum of all the across loci interaction
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2 Quantitative traits: Birth weight in cattle Mean ( m ) m = P i n Distribution of records Quantitative traits: Birth weight in cattle m weights freq Population A Population B Statistic describing variation Variance, s 2 s P 2 = phenotypic variance s G 2 = genetic variance s P 2 = (P i - m ) 2 N-1
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3 Statistic describing variation Note: function of squared deviations 1) s 2 > 0 2) the greater the deviations, the greater the variance Statistic describing variation Standard deviation -- square root of variance s P = s P 2 frequency m m - s P m + s P m -2 s P m +2 s P 95.4% Normal Distribution 68.2%
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handout16 - Lecture 16 Quantitative Traits Quantitative...

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