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Ch. 25 - Quantitative Genetics and Multifactorial Traits
Chapter 24, Problem 15

In a herd of dairy cows the narrow-sense heritability for milk protein content is 0.76, and for milk butterfat it is 0.82. The correlation coefficient between milk protein content and butterfat is 0.91. If the farmer selects for cows producing more butterfat in their milk, what will be the most likely effect on milk protein content in the next generation?

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1
Understand the concept of narrow-sense heritability (h^2), which is the proportion of phenotypic variance that can be attributed to additive genetic variance. Here, h^2 for milk protein content is 0.76 and for butterfat is 0.82.
Recognize that the correlation coefficient (r) between milk protein content and butterfat is 0.91, indicating a strong positive genetic correlation between these two traits.
When selecting for a trait with a high heritability, such as butterfat (h^2 = 0.82), the response to selection is expected to be significant, meaning that selecting cows with higher butterfat will likely result in offspring with higher butterfat content.
Due to the strong positive genetic correlation (r = 0.91) between butterfat and milk protein content, selecting for increased butterfat is likely to also increase milk protein content in the next generation.
Conclude that the most likely effect of selecting for cows producing more butterfat will be an increase in milk protein content in the next generation, due to the high heritability and strong positive genetic correlation.

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Key Concepts

Here are the essential concepts you must grasp in order to answer the question correctly.

Narrow-Sense Heritability

Narrow-sense heritability (h²) quantifies the proportion of phenotypic variance in a trait that can be attributed to additive genetic variance. It is crucial for predicting the response to selection, as it indicates how much of the trait can be passed on to the next generation. In this case, the heritability values for milk protein (0.76) and butterfat (0.82) suggest that both traits are significantly influenced by genetics.
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Calculating Heritability

Genetic Correlation

Genetic correlation measures the degree to which two traits share a common genetic basis. A high correlation coefficient (0.91) between milk protein content and butterfat indicates that selection for one trait may affect the other. Understanding this relationship is essential for predicting the outcomes of selective breeding, as improving butterfat may inadvertently influence protein content.
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Descriptive Genetics

Response to Selection

Response to selection refers to the change in the mean phenotype of a trait in a population following selective breeding. It is influenced by heritability and the strength of selection. In this scenario, selecting for higher butterfat content will likely lead to a change in milk protein content due to the high genetic correlation, potentially increasing or decreasing protein levels depending on the underlying genetic architecture.
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Related Practice
Textbook Question

The mean and variance of plant height of two highly inbred strains (P₁ and P₂) and their progeny (F₁ and F₂) are shown here.

   Strain     Mean (cm)     Variance  _
     P₁           34.2                 4.2
     P₂           55.3                 3.8
     F₁           44.2                 5.6
     F₂           46.3               10.3

Calculate the broad-sense heritability (H²) of plant height in this species.

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Textbook Question

A hypothetical study investigated the vitamin A content and the cholesterol content of eggs from a large population of chickens. The following variances (V) were calculated.

Calculate the narrow-sense heritability (h²) for both traits. <>

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Textbook Question

A hypothetical study investigated the vitamin A content and the cholesterol content of eggs from a large population of chickens. The following variances (V) were calculated.

Which trait, if either, is likely to respond to selection? <>

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Textbook Question

In an assessment of learning in Drosophila, flies were trained to avoid certain olfactory cues. In one population, a mean of 8.5 trials was required. A subgroup of this parental population that was trained most quickly (mean=6.0) was interbred, and their progeny were examined. These flies demonstrated a mean training value of 7.5. Calculate realized heritability for olfactory learning in Drosophila.

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Textbook Question

Suppose you want to develop a population of Drosophila that would rapidly learn to avoid certain substances the flies could detect by smell. Based on the heritability estimate you obtained in Problem 16, do you think it would be worth doing this by artificial selection? Why or why not?

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Textbook Question

In a population of tomato plants, mean fruit weight is 60 g and h² is 0.3. Predict the mean weight of the progeny if tomato plants whose fruit averaged 80 g were selected from the original population and interbred.

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