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Correlated Response

  • The expected response of a character Y when selection is applied to another character X is known as a related response. The response of character X ie, the character directly selected is equivalent to the mean breeding vai of selected individuals. The consequent change of character Y is therefore given by the regression of the breeding value of Y on the letting value of X.
    The regression is
  • Indirect Selection and Correlated Response | Animal Husbandry & Veterinary Science Optional for UPSCThe response of character X, directly selected is
    R= ihx σAx
    Therefore, the related response of the character Y is
    Indirect Selection and Correlated Response | Animal Husbandry & Veterinary Science Optional for UPSCor by putting σAx = hy  σpv, the correlated response becomes
    Indirect Selection and Correlated Response | Animal Husbandry & Veterinary Science Optional for UPSC
  • Hence, the anticipated outcome of a correlated character can be foreseen when armed with knowledge about the genetic correlation and heritabilities of both characters. Moreover, if the correlated response is observed through experimentation, along with known heritabilities for both characters, the genetic correlation can be approximated. 
  • To estimate the heritability of character Y as the realized heritability derived from the response to selection, a double-selection experiment becomes imperative. This involves selecting character X in one line and character Y in another, allowing for the measurement of both the direct and correlated responses for each character. 
  • Such experiments yield two estimates of the genetic correlation, one from the correlated response of each character. These estimates should align if the theory of correlated responses, as articulated in equation (3) above, accurately encapsulates the observed responses. A consolidated estimate of the genetic correlation can be derived from double selection experiments, eliminating the need for heritability estimates through the following formula, easily deduced from equation (2) above.

Indirect Selection and Correlated Response | Animal Husbandry & Veterinary Science Optional for UPSC

  • Achieving close concordance between observed and predicted correlated responses is not always guaranteed and, in fact, is infrequently encountered, especially when the genetic correlation is low. Additionally, double selection experiments tend to be unreliable in providing consistent estimates of the genetic correlation. Two primary factors contribute to the diminished predictability and the inconsistency of correlated responses. The first factor is the low precision inherent in estimating the genetic parameters.

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What is the term used to describe the expected response of a character Y when selection is applied to another character X?
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Genetic Correlations and Selection Strategies in Breeding Programs

The effectiveness of correlated responses in breeding programs can be compromised due to large sampling errors and the sensitivity of genetic correlations to gene frequency changes. These factors introduce uncertainties in applying the theory of correlated responses in practical breeding scenarios.

Direct vs. Indirect Selection:

Indirect selection involves choosing one trait to enhance the improvement of another. While generally less effective than direct selection, the efficiency ratio (CR/Rx) determines the merit of indirect selection. Indirect selection can outperform direct selection if the secondary trait has higher heritability and a stronger genetic correlation with the desired trait.

Conditions for Indirect Selection:

Indirect selection is applied under specific circumstances, such as when the desired trait is challenging to measure directly with precision or when one trait is measurable in only one sex. A combination of direct and indirect selection is often more valuable in practice.

Genotype and Environmental Interaction:

Genotype and environmental interaction highlight that the best genotype in one environment may not excel in another. Consideration of environmental differences is crucial, especially when making breed improvements. Genetic correlations provide a basis for addressing challenges related to environmental differences in breeding policies.

Environmental Influence on Genetic Correlations:

When measuring the same trait in different environments, it is essential to treat them as distinct characters due to differences in physiological mechanisms and required genes. Understanding heritability and genetic correlations helps address challenges arising from environmental variations.

Question for Indirect Selection and Correlated Response
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What is the main advantage of indirect selection over direct selection in breeding programs?
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Genetic Selection and Environmental Impact on Livestock Traits

Understanding the interplay between genetic factors and environmental conditions is crucial in optimizing livestock traits. The effectiveness of gene selection in different environments depends on the correlation between traits, with low diversity requiring distinct gene sets for optimal performance.

Indirect Selection Dynamics:

Examining the transferability of improvements across environments poses challenges. For example, selecting for growth rate (X) on a high-nutrition plane may not directly enhance growth rate (Y) on a low-nutrition plane. The correlated response, measured as CRAPY, is a critical factor in assessing the success of indirect selection.

Comparing Selection Approaches:

The efficacy of indirect selection hinges on factors like r and by, where its superiority is evident when these factors surpass bX. The adaptability of the population to its destined environment plays a pivotal role. Low adaptability makes selection in the destined environment advantageous.

Experimental Insights:

Fowler and Enaminger's study on swine selection using an index, emphasizing the gain ratio, highlighted the influence of nutrition on growth. Danish Landrace xChesterwhite crossbreeds were divided into fully-fed and restricted lines. Selection for rate of gain in both lines closely aligned with expectations. Genotype-environment interactions were observed, with the more rigorous condition line performing well in both environments.

Mice Selection Experiments:

Experiments by Falconer on mice under unrestricted and restricted diets indicated that selecting on a restricted diet enhanced genetic potential for growth under both regimes. However, the reverse scenario was less effective. While genotype-environment interactions were present, their practical importance was limited.

Concluding Remarks:

Available evidence suggests that adaptation is generally applicable across traits, with only a few exceptions. Genetic differences are more pronounced in favorable environments, underscoring the significance of selecting under conditions resembling those of commercial animals.

Question for Indirect Selection and Correlated Response
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What is a critical factor in assessing the success of indirect selection in livestock traits?
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The document Indirect Selection and Correlated Response | Animal Husbandry & Veterinary Science Optional for UPSC is a part of the UPSC Course Animal Husbandry & Veterinary Science Optional for UPSC.
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FAQs on Indirect Selection and Correlated Response - Animal Husbandry & Veterinary Science Optional for UPSC

1. What is genetic correlation and how does it impact breeding programs?
Genetic correlation refers to the statistical relationship between two or more traits in a population. In breeding programs, it is important because it helps in predicting the response of one trait when another trait is selected for. For example, if there is a positive genetic correlation between milk production and udder conformation in dairy cows, selecting for improved udder conformation will likely result in increased milk production as well.
2. How do selection strategies in breeding programs take genetic correlations into account?
Selection strategies in breeding programs take genetic correlations into account by considering the correlated response. Correlated response refers to the changes observed in one trait as a result of selection for another trait. Breeders use this information to make informed decisions on which traits to select for, based on their genetic correlations. By selecting for traits that have positive genetic correlations, breeders can indirectly improve multiple traits simultaneously.
3. What is the impact of environmental factors on livestock traits in genetic selection?
Environmental factors can have a significant impact on livestock traits in genetic selection. These factors include nutrition, management practices, housing conditions, and disease prevalence. While genetic selection focuses on improving the genetic potential of animals, the expression of these genetic traits can be influenced by the environment. Therefore, it is essential for breeders to consider and control environmental factors to ensure the optimal expression of desired traits.
4. How does indirect selection work in breeding programs?
Indirect selection in breeding programs involves selecting for one trait to improve another trait that is not directly measured. This is possible when there is a genetic correlation between the two traits. For example, if there is a positive genetic correlation between body weight and milk production in dairy cows, selecting for increased body weight can indirectly result in increased milk production. Indirect selection allows breeders to improve multiple traits simultaneously, even if they are not directly selecting for all of them.
5. How does correlated response contribute to the success of breeding programs?
Correlated response plays a crucial role in the success of breeding programs as it allows breeders to achieve genetic improvement in multiple traits simultaneously. By selecting for traits that have positive genetic correlations, breeders can indirectly improve other traits without directly selecting for them. This approach helps in maximizing genetic progress and achieving desired breeding goals more efficiently. Correlated response provides breeders with valuable information to make informed decisions and optimize the genetic potential of livestock populations.
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