Genotype-by-environment interactions for feed efficiency traits in Nellore cattle based on bi-trait reaction norm models
Abstract Background Selecting animals for feed efficiency directly impacts the profitability of the beef cattle industry, which contributes to minimizing the environmental footprint of beef production. Genetic and environmental factors influence animal feed efficiency, leading to phenotypic variabil...
| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | deu |
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BMC
2023-12-01
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| Series: | Genetics Selection Evolution |
| Online Access: | https://doi.org/10.1186/s12711-023-00867-2 |
| _version_ | 1797388570858618880 |
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| author | João B. Silva Neto Lucio F. M. Mota Sabrina T. Amorim Elisa Peripolli Luiz F. Brito Claudio U. Magnabosco Fernando Baldi |
| author_facet | João B. Silva Neto Lucio F. M. Mota Sabrina T. Amorim Elisa Peripolli Luiz F. Brito Claudio U. Magnabosco Fernando Baldi |
| author_sort | João B. Silva Neto |
| collection | DOAJ |
| description | Abstract Background Selecting animals for feed efficiency directly impacts the profitability of the beef cattle industry, which contributes to minimizing the environmental footprint of beef production. Genetic and environmental factors influence animal feed efficiency, leading to phenotypic variability when exposed to different environmental conditions (i.e., temperature and nutritional level). Thus, our aim was to assess potential genotype-by-environment (G × E) interactions for dry matter intake (DMI) and residual feed intake (RFI) in Nellore cattle (Bos taurus indicus) based on bi-trait reaction norm models (RN) and evaluate the genetic association between RFI and DMI across different environmental gradient (EG) levels. For this, we used phenotypic information on 12,958 animals (young bulls and heifers) for DMI and RFI recorded during 158 feed efficiency trials. Results The heritability estimates for DMI and RFI across EG ranged from 0.26 to 0.54 and from 0.07 to 0.41, respectively. The average genetic correlations (± standard deviation) across EG for DMI and RFI were 0.83 ± 0.19 and 0.81 ± 0.21, respectively, with the lowest genetic correlation estimates observed between extreme EG levels (low vs. high) i.e. 0.22 for RFI and 0.26 for DMI, indicating the presence of G × E interactions. The genetic correlation between RFI and DMI across EG levels decreased as the EG became more favorable and ranged from 0.79 (lowest EG) to 0.52 (highest EG). Based on the estimated breeding values from extreme EG levels (low vs. high), we observed a moderate Spearman correlation of 0.61 (RFI) and 0.55 (DMI) and a selection coincidence of 53.3% and 40.0% for RFI and DMI, respectively. Conclusions Our results show evidence of G × E interactions on feed efficiency traits in Nellore cattle, especially in feeding trials with an average daily gain (ADG) that is far from the expected of 1 kg/day, thus increasing reranking of animals. |
| first_indexed | 2024-03-08T22:42:44Z |
| format | Article |
| id | doaj.art-de175c4963d545159a017ea07322892c |
| institution | Directory Open Access Journal |
| issn | 1297-9686 |
| language | deu |
| last_indexed | 2024-03-08T22:42:44Z |
| publishDate | 2023-12-01 |
| publisher | BMC |
| record_format | Article |
| series | Genetics Selection Evolution |
| spelling | doaj.art-de175c4963d545159a017ea07322892c2023-12-17T12:04:22ZdeuBMCGenetics Selection Evolution1297-96862023-12-0155111210.1186/s12711-023-00867-2Genotype-by-environment interactions for feed efficiency traits in Nellore cattle based on bi-trait reaction norm modelsJoão B. Silva Neto0Lucio F. M. Mota1Sabrina T. Amorim2Elisa Peripolli3Luiz F. Brito4Claudio U. Magnabosco5Fernando Baldi6Department of Animal Science, School of Agricultural and Veterinarian Sciences (FCAV), São Paulo State University (UNESP)Department of Animal Science, School of Agricultural and Veterinarian Sciences (FCAV), São Paulo State University (UNESP)School of Animal Sciences, Virginia Polytechnic Institute and State UniversitySchool of Veterinary Medicine and Animal Science, University of São PauloDepartment of Animal Sciences, Purdue UniversityEmbrapa Rice and BeansDepartment of Animal Science, School of Agricultural and Veterinarian Sciences (FCAV), São Paulo State University (UNESP)Abstract Background Selecting animals for feed efficiency directly impacts the profitability of the beef cattle industry, which contributes to minimizing the environmental footprint of beef production. Genetic and environmental factors influence animal feed efficiency, leading to phenotypic variability when exposed to different environmental conditions (i.e., temperature and nutritional level). Thus, our aim was to assess potential genotype-by-environment (G × E) interactions for dry matter intake (DMI) and residual feed intake (RFI) in Nellore cattle (Bos taurus indicus) based on bi-trait reaction norm models (RN) and evaluate the genetic association between RFI and DMI across different environmental gradient (EG) levels. For this, we used phenotypic information on 12,958 animals (young bulls and heifers) for DMI and RFI recorded during 158 feed efficiency trials. Results The heritability estimates for DMI and RFI across EG ranged from 0.26 to 0.54 and from 0.07 to 0.41, respectively. The average genetic correlations (± standard deviation) across EG for DMI and RFI were 0.83 ± 0.19 and 0.81 ± 0.21, respectively, with the lowest genetic correlation estimates observed between extreme EG levels (low vs. high) i.e. 0.22 for RFI and 0.26 for DMI, indicating the presence of G × E interactions. The genetic correlation between RFI and DMI across EG levels decreased as the EG became more favorable and ranged from 0.79 (lowest EG) to 0.52 (highest EG). Based on the estimated breeding values from extreme EG levels (low vs. high), we observed a moderate Spearman correlation of 0.61 (RFI) and 0.55 (DMI) and a selection coincidence of 53.3% and 40.0% for RFI and DMI, respectively. Conclusions Our results show evidence of G × E interactions on feed efficiency traits in Nellore cattle, especially in feeding trials with an average daily gain (ADG) that is far from the expected of 1 kg/day, thus increasing reranking of animals.https://doi.org/10.1186/s12711-023-00867-2 |
| spellingShingle | João B. Silva Neto Lucio F. M. Mota Sabrina T. Amorim Elisa Peripolli Luiz F. Brito Claudio U. Magnabosco Fernando Baldi Genotype-by-environment interactions for feed efficiency traits in Nellore cattle based on bi-trait reaction norm models Genetics Selection Evolution |
| title | Genotype-by-environment interactions for feed efficiency traits in Nellore cattle based on bi-trait reaction norm models |
| title_full | Genotype-by-environment interactions for feed efficiency traits in Nellore cattle based on bi-trait reaction norm models |
| title_fullStr | Genotype-by-environment interactions for feed efficiency traits in Nellore cattle based on bi-trait reaction norm models |
| title_full_unstemmed | Genotype-by-environment interactions for feed efficiency traits in Nellore cattle based on bi-trait reaction norm models |
| title_short | Genotype-by-environment interactions for feed efficiency traits in Nellore cattle based on bi-trait reaction norm models |
| title_sort | genotype by environment interactions for feed efficiency traits in nellore cattle based on bi trait reaction norm models |
| url | https://doi.org/10.1186/s12711-023-00867-2 |
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