Genetic parameters and expected responses to selection for components of feed efficiency in a Duroc pig line
Abstract Background Improving feed efficiency ( $${\text{FE}}$$ FE ) is a key factor for any pig breeding company. Although this can be achieved by selection on an index of multi-trait best linear unbiased prediction of breeding values with optimal economic weights, considering deviations of feed in...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | deu |
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BMC
2017-12-01
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| Series: | Genetics Selection Evolution |
| Online Access: | http://link.springer.com/article/10.1186/s12711-017-0362-x |
| _version_ | 1819039292131901440 |
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| author | Juan P. Sánchez Mohamed Ragab Raquel Quintanilla Max F. Rothschild Miriam Piles |
| author_facet | Juan P. Sánchez Mohamed Ragab Raquel Quintanilla Max F. Rothschild Miriam Piles |
| author_sort | Juan P. Sánchez |
| collection | DOAJ |
| description | Abstract Background Improving feed efficiency ( $${\text{FE}}$$ FE ) is a key factor for any pig breeding company. Although this can be achieved by selection on an index of multi-trait best linear unbiased prediction of breeding values with optimal economic weights, considering deviations of feed intake from actual needs ( $${\text{RFI}}$$ RFI ) should be of value for further research on biological aspects of $${\text{FE}}$$ FE . Here, we present a random regression model that extends the classical definition of $${\text{RFI}}$$ RFI by including animal-specific needs in the model. Using this model, we explore the genetic determinism of several $${\text{FE}}$$ FE components: use of feed for growth ( $${\text{WG}}$$ WG ), use of feed for backfat deposition ( $${\text{FG}}$$ FG ), use of feed for maintenance ( $${\text{MW}}$$ MW ), and unspecific efficiency in the use of feed ( $${\text{RFI}}$$ RFI ). Expected response to alternative selection indexes involving different components is also studied. Results Based on goodness-of-fit to the available feed intake ( $${\text{FI}}$$ FI ) data, the model that assumes individual (genetic and permanent) variation in the use of feed for maintenance, $${\text{WG}}$$ WG and $${\text{FG}}$$ FG showed the best performance. Joint individual variation in feed allocation to maintenance, growth and backfat deposition comprised 37% of the individual variation of $${\text{FI}}$$ FI . The estimated heritabilities of $${\text{RFI}}$$ RFI using the model that accounts for animal-specific needs and the traditional $${\text{RFI}}$$ RFI model were 0.12 and 0.18, respectively. The estimated heritabilities for the regression coefficients were 0.44, 0.39 and 0.55 for $${\text{MW}}$$ MW , $${\text{WG}}$$ WG and $${\text{FG}}$$ FG , respectively. Estimates of genetic correlations of $${\text{RFI}}$$ RFI were positive with amount of feed used for $${\text{WG}}$$ WG and $${\text{FG}}$$ FG but negative for $${\text{MW}}$$ MW . Expected response in overall efficiency, reducing $${\text{FI}}$$ FI without altering performance, was 2.5% higher when the model assumed animal-specific needs than when the traditional definition of $${\text{RFI}}$$ RFI was considered. Conclusions Expected response in overall efficiency, by reducing $${\text{FI}}$$ FI without altering performance, is slightly better with a model that assumes animal-specific needs instead of batch-specific needs to correct $${\text{FI}}$$ FI . The relatively small difference between the traditional $${\text{RFI}}$$ RFI model and our model is due to random intercepts (unspecific use of feed) accounting for the majority of variability in $${\text{FI}}$$ FI . Overall, a model that accounts for animal-specific needs for $${\text{MW}}$$ MW , $${\text{WG}}$$ WG and $${\text{FG}}$$ FG is statistically superior and allows for the possibility to act differentially on $${\text{FE}}$$ FE components. |
| first_indexed | 2024-12-21T08:50:53Z |
| format | Article |
| id | doaj.art-8b0fc98410624b5dbd0ad8824e84a784 |
| institution | Directory Open Access Journal |
| issn | 1297-9686 |
| language | deu |
| last_indexed | 2024-12-21T08:50:53Z |
| publishDate | 2017-12-01 |
| publisher | BMC |
| record_format | Article |
| series | Genetics Selection Evolution |
| spelling | doaj.art-8b0fc98410624b5dbd0ad8824e84a7842022-12-21T19:09:40ZdeuBMCGenetics Selection Evolution1297-96862017-12-0149111310.1186/s12711-017-0362-xGenetic parameters and expected responses to selection for components of feed efficiency in a Duroc pig lineJuan P. Sánchez0Mohamed Ragab1Raquel Quintanilla2Max F. Rothschild3Miriam Piles4Genetica i Millora Animal, IRTA, Torre MarimonGenetica i Millora Animal, IRTA, Torre MarimonGenetica i Millora Animal, IRTA, Torre MarimonDepartment of Animal Science, Iowa State UniversityGenetica i Millora Animal, IRTA, Torre MarimonAbstract Background Improving feed efficiency ( $${\text{FE}}$$ FE ) is a key factor for any pig breeding company. Although this can be achieved by selection on an index of multi-trait best linear unbiased prediction of breeding values with optimal economic weights, considering deviations of feed intake from actual needs ( $${\text{RFI}}$$ RFI ) should be of value for further research on biological aspects of $${\text{FE}}$$ FE . Here, we present a random regression model that extends the classical definition of $${\text{RFI}}$$ RFI by including animal-specific needs in the model. Using this model, we explore the genetic determinism of several $${\text{FE}}$$ FE components: use of feed for growth ( $${\text{WG}}$$ WG ), use of feed for backfat deposition ( $${\text{FG}}$$ FG ), use of feed for maintenance ( $${\text{MW}}$$ MW ), and unspecific efficiency in the use of feed ( $${\text{RFI}}$$ RFI ). Expected response to alternative selection indexes involving different components is also studied. Results Based on goodness-of-fit to the available feed intake ( $${\text{FI}}$$ FI ) data, the model that assumes individual (genetic and permanent) variation in the use of feed for maintenance, $${\text{WG}}$$ WG and $${\text{FG}}$$ FG showed the best performance. Joint individual variation in feed allocation to maintenance, growth and backfat deposition comprised 37% of the individual variation of $${\text{FI}}$$ FI . The estimated heritabilities of $${\text{RFI}}$$ RFI using the model that accounts for animal-specific needs and the traditional $${\text{RFI}}$$ RFI model were 0.12 and 0.18, respectively. The estimated heritabilities for the regression coefficients were 0.44, 0.39 and 0.55 for $${\text{MW}}$$ MW , $${\text{WG}}$$ WG and $${\text{FG}}$$ FG , respectively. Estimates of genetic correlations of $${\text{RFI}}$$ RFI were positive with amount of feed used for $${\text{WG}}$$ WG and $${\text{FG}}$$ FG but negative for $${\text{MW}}$$ MW . Expected response in overall efficiency, reducing $${\text{FI}}$$ FI without altering performance, was 2.5% higher when the model assumed animal-specific needs than when the traditional definition of $${\text{RFI}}$$ RFI was considered. Conclusions Expected response in overall efficiency, by reducing $${\text{FI}}$$ FI without altering performance, is slightly better with a model that assumes animal-specific needs instead of batch-specific needs to correct $${\text{FI}}$$ FI . The relatively small difference between the traditional $${\text{RFI}}$$ RFI model and our model is due to random intercepts (unspecific use of feed) accounting for the majority of variability in $${\text{FI}}$$ FI . Overall, a model that accounts for animal-specific needs for $${\text{MW}}$$ MW , $${\text{WG}}$$ WG and $${\text{FG}}$$ FG is statistically superior and allows for the possibility to act differentially on $${\text{FE}}$$ FE components.http://link.springer.com/article/10.1186/s12711-017-0362-x |
| spellingShingle | Juan P. Sánchez Mohamed Ragab Raquel Quintanilla Max F. Rothschild Miriam Piles Genetic parameters and expected responses to selection for components of feed efficiency in a Duroc pig line Genetics Selection Evolution |
| title | Genetic parameters and expected responses to selection for components of feed efficiency in a Duroc pig line |
| title_full | Genetic parameters and expected responses to selection for components of feed efficiency in a Duroc pig line |
| title_fullStr | Genetic parameters and expected responses to selection for components of feed efficiency in a Duroc pig line |
| title_full_unstemmed | Genetic parameters and expected responses to selection for components of feed efficiency in a Duroc pig line |
| title_short | Genetic parameters and expected responses to selection for components of feed efficiency in a Duroc pig line |
| title_sort | genetic parameters and expected responses to selection for components of feed efficiency in a duroc pig line |
| url | http://link.springer.com/article/10.1186/s12711-017-0362-x |
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