Genetic evaluation of oocyte and embryo production in dairy Gir cattle using repeatability and random regression models
ABSTRACT The objective of this work is to estimate genetic parameters and breeding values to improve embryo and oocyte production, using repeatability and random regression models (RRM) for Gir dairy cattle. We used 11,398 records of ovum pick-up from 1,747 dairy Gir donors and evaluated sixteen dif...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
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Sociedade Brasileira de Zootecnia
2022-11-01
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| Series: | Revista Brasileira de Zootecnia |
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| Online Access: | http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1516-35982022000100407&lng=en&tlng=en |
| _version_ | 1811179588576870400 |
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| author | Giovani Luis Feltes Renata Negri Fernanda Santos Silva Raidan Luiz Fernando Rodrigues Feres Virgínia Mara Pereira Ribeiro Jaime Araújo Cobuci |
| author_facet | Giovani Luis Feltes Renata Negri Fernanda Santos Silva Raidan Luiz Fernando Rodrigues Feres Virgínia Mara Pereira Ribeiro Jaime Araújo Cobuci |
| author_sort | Giovani Luis Feltes |
| collection | DOAJ |
| description | ABSTRACT The objective of this work is to estimate genetic parameters and breeding values to improve embryo and oocyte production, using repeatability and random regression models (RRM) for Gir dairy cattle. We used 11,398 records of ovum pick-up from 1,747 dairy Gir donors and evaluated sixteen different models: the traditional repeatability model and fifteen RRM, each of which considered a different combination of Legendre polynomial regressors to describe the additive genetic and permanent environment effects. The 4G1P model (four regressors for the genetic effect and one regressor for the permanent environment effect) is the most suitable model to analyze the number of viable and total oocytes, while the 3G1P is the best model to analyze the number of cleaved and viable embryos, according to the values of the Akaike information criterion (AIC) and the Bayesian information criterion (BIC). The heritability estimated with the RRM was higher than that estimated with the repeatability model. The high repeatability reported for oocyte and embryo count traits indicates that donors, which had high oocyte and embryo counts in the first ovum pick-up, should maintain this result in the next ovum pick-up. Genetic correlations between adjacent ages were high and positive, while genetic correlations between extreme ages were weak. We observed a reranking of the top sires and females (heifers and cows) over the period evaluated. The reliability of the estimated breeding values by RRM showed changes across age, and the expected genetic gains by RRM are larger. This shows that RRM is most suitable alternative for the evaluation and selection of oocyte and embryo count traits. |
| first_indexed | 2024-04-11T06:37:47Z |
| format | Article |
| id | doaj.art-15b869184ef6434eb45d3f7bc067ac96 |
| institution | Directory Open Access Journal |
| issn | 1806-9290 |
| language | English |
| last_indexed | 2024-04-11T06:37:47Z |
| publishDate | 2022-11-01 |
| publisher | Sociedade Brasileira de Zootecnia |
| record_format | Article |
| series | Revista Brasileira de Zootecnia |
| spelling | doaj.art-15b869184ef6434eb45d3f7bc067ac962022-12-22T04:39:38ZengSociedade Brasileira de ZootecniaRevista Brasileira de Zootecnia1806-92902022-11-015110.37496/rbz5120220017Genetic evaluation of oocyte and embryo production in dairy Gir cattle using repeatability and random regression modelsGiovani Luis Felteshttps://orcid.org/0000-0002-5748-5649Renata Negrihttps://orcid.org/0000-0002-6216-7135Fernanda Santos Silva Raidanhttps://orcid.org/0000-0002-1919-295XLuiz Fernando Rodrigues Fereshttps://orcid.org/0000-0001-7566-2859Virgínia Mara Pereira Ribeirohttps://orcid.org/0000-0002-9013-9131Jaime Araújo Cobucihttps://orcid.org/0000-0002-1414-4967ABSTRACT The objective of this work is to estimate genetic parameters and breeding values to improve embryo and oocyte production, using repeatability and random regression models (RRM) for Gir dairy cattle. We used 11,398 records of ovum pick-up from 1,747 dairy Gir donors and evaluated sixteen different models: the traditional repeatability model and fifteen RRM, each of which considered a different combination of Legendre polynomial regressors to describe the additive genetic and permanent environment effects. The 4G1P model (four regressors for the genetic effect and one regressor for the permanent environment effect) is the most suitable model to analyze the number of viable and total oocytes, while the 3G1P is the best model to analyze the number of cleaved and viable embryos, according to the values of the Akaike information criterion (AIC) and the Bayesian information criterion (BIC). The heritability estimated with the RRM was higher than that estimated with the repeatability model. The high repeatability reported for oocyte and embryo count traits indicates that donors, which had high oocyte and embryo counts in the first ovum pick-up, should maintain this result in the next ovum pick-up. Genetic correlations between adjacent ages were high and positive, while genetic correlations between extreme ages were weak. We observed a reranking of the top sires and females (heifers and cows) over the period evaluated. The reliability of the estimated breeding values by RRM showed changes across age, and the expected genetic gains by RRM are larger. This shows that RRM is most suitable alternative for the evaluation and selection of oocyte and embryo count traits.http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1516-35982022000100407&lng=en&tlng=enanimal breedingBos indicusdairy cattlein vitro fertilizationovum pick-up |
| spellingShingle | Giovani Luis Feltes Renata Negri Fernanda Santos Silva Raidan Luiz Fernando Rodrigues Feres Virgínia Mara Pereira Ribeiro Jaime Araújo Cobuci Genetic evaluation of oocyte and embryo production in dairy Gir cattle using repeatability and random regression models Revista Brasileira de Zootecnia animal breeding Bos indicus dairy cattle in vitro fertilization ovum pick-up |
| title | Genetic evaluation of oocyte and embryo production in dairy Gir cattle using repeatability and random regression models |
| title_full | Genetic evaluation of oocyte and embryo production in dairy Gir cattle using repeatability and random regression models |
| title_fullStr | Genetic evaluation of oocyte and embryo production in dairy Gir cattle using repeatability and random regression models |
| title_full_unstemmed | Genetic evaluation of oocyte and embryo production in dairy Gir cattle using repeatability and random regression models |
| title_short | Genetic evaluation of oocyte and embryo production in dairy Gir cattle using repeatability and random regression models |
| title_sort | genetic evaluation of oocyte and embryo production in dairy gir cattle using repeatability and random regression models |
| topic | animal breeding Bos indicus dairy cattle in vitro fertilization ovum pick-up |
| url | http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1516-35982022000100407&lng=en&tlng=en |
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