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5. | | LIMA, J. R. F. de; ALMEIDA, G. V. B. de; PEREIRA, A. F. C.; ARAÚJO JÚNIOR, J. N. de. Análise do mercado de manga produzida no Vale do São Francisco: cenário atual e perspectivas para o curto prazo. In: CONGRESSO DA SOCIEDADE BRASILEIRA DE ECONOMIA, ADMINISTRAÇÃO E SOCIOLOGIA RURAL DO REGIONAL NORDESTE, 13., 2018, Juazeiro, BA. Novas dinâmicas de desenvolvimento do Semiárido: anais. Juazeiro: UNIVASF: SOBER-NE, 2018. Biblioteca(s): Embrapa Semiárido. |
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6. | | ARAÚJO JÚNIOR, J. N. de; JUSTO, W. R.; LIMA, J. R. F. de; FERREIRA, M. de O.; ARAUJO, J. L. P.; PEREIRA, A. F. C. Analysis on the Technical Efficiency of Northeast Municipal Expenditure with Basic Education: A DEA Approach and Malmquist's Index International Journal of Finance and Accounting, v. 8, n. 1, p. 23-35, 2019. Biblioteca(s): Embrapa Semiárido. |
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9. | | ARAÚJO JÚNIOR, J. N. de; LIMA, J. R. F. de; ARAUJO, J. L. P.; LOPES, P. R. C. Diversificação da fruticultura irrigada no Semiárido: perspectivas de mercado para a maçã. In: CONGRESSO DA SOCIEDADE BRASILEIRA DE ECONOMIA, ADMINISTRAÇÃO E SOCIOLOGIA RURAL, 53., 2015, João Pessoa. Agropecuária, meio ambiente e desenvolvimento: anais. João Pessoal: Sober, 2015. Biblioteca(s): Embrapa Semiárido. |
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10. | | ARAÚJO JÚNIOR, J. N. de; JUSTO, W. R.; LIMA, J. R. F. de; FERREIRA, M. de O.; ARAUJO, J. L. P.; PEREIRA, A. F. C. Intertemporal analysis on the technical efficiency of Northeast municipal expenditure with basic education: a DEA approach and Malmquist's index. International Journal of Finance and Accounting, v. 8, n. 1, p. 23-35, 2019. Biblioteca(s): Embrapa Semiárido. |
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Registro Completo
Biblioteca(s): |
Embrapa Gado de Leite. |
Data corrente: |
09/05/2023 |
Data da última atualização: |
22/08/2023 |
Tipo da produção científica: |
Artigo em Periódico Indexado |
Circulação/Nível: |
A - 2 |
Autoria: |
OLIVEIRA, C. S.; SILVA, M. V. G. B.; QUINTAO, C. C. R.; OTTO, P. I.; ALONSO, R. V.; FERES, L. F.; PANETTO, J. C. do C.; MACHADO, M. A.; CAMARGO, L. S. de A. |
Afiliação: |
CLARA SLADE OLIVEIRA, CNPGL; MARCOS VINICIUS GUALBERTO B SILVA, CNPGL; CAROLINA CAPOBIANGO ROMANO QUINTAO, CNPGL; PAMELA ITAJARA OTTO, Universidade Federal de Santa Maria; RODRIGO VITORIO ALONSO, Nelore Myo Genetica Bovina; LUIZ FERNANDO FERES, Universidade Jose do Rosario Vellano-UNIFENAS; JOAO CLAUDIO DO CARMO PANETTO, CNPGL; MARCO ANTONIO MACHADO, CNPGL; LUIZ SERGIO DE ALMEIDA CAMARGO, CNPGL. |
Título: |
Imputation accuracy for genomic selection using embryo biopsy samples in Gir. |
Ano de publicação: |
2023 |
Fonte/Imprenta: |
Reproductive Biology, v. 23, 100765, 2023. |
DOI: |
https://doi.org/10.1016/j.repbio.2023.100765 |
Idioma: |
Inglês |
Conteúdo: |
The aim of this study was to establish a platform for genomic selection of in vitro-fertilized (IVF) Gir embryos. Multiple displacement amplification (MDA)-based embryo biopsy samples were genotyped, and genomic estimated breeding values (GEBV) for milk yield (305MY) were calculated. The concordance of GEBV and accuracy between embryo biopsies and the respective liveborn were assessed. Imputation was performed using two panels (Z-Chip and Bovine HD, Illumina) based on a database of 73,110 lactating cow's database and pedigree files from 147,131 animals. Biopsied embryos had similar pregnancy rates (39% vs 40%), pregnancy loss rates (18% vs 20%), and pregnancy length compared to Control embryos. After genotyping, low call rate means were detected for biopsy samples compared to the respective calf samples (0.80 vs 0.98). Imputation presented 0.83 (Z-Chip) and 0.96 (HD) accuracy (CORRanim). Embryo GEBV accuracy levels were higher in BovineHD imputation (0.82) than Z-Chip imputation (0.55) or no imputation (0.62), and the correlation between embryo/calf pairs' accuracy was 0.85 for BovineHD imputation, 0.11 for Z-Chip imputation, and 0.02 for no imputation. GEVB estimates correlation between embryo/calf pairs was 0.87 for BovineHD imputation, 0.80 for Z-Chip imputation, and 0.41 before imputation. The call rate of embryo samples did not affect the correlation between embryo/calf pairs for accuracy and GEBV before and after BovineHD imputation. Embryos obtained on the same farm presented GEBV 305MY differences of up to 800 kg, emphasizing the expected impact of embryo genomic selection for the Gir breed. MenosThe aim of this study was to establish a platform for genomic selection of in vitro-fertilized (IVF) Gir embryos. Multiple displacement amplification (MDA)-based embryo biopsy samples were genotyped, and genomic estimated breeding values (GEBV) for milk yield (305MY) were calculated. The concordance of GEBV and accuracy between embryo biopsies and the respective liveborn were assessed. Imputation was performed using two panels (Z-Chip and Bovine HD, Illumina) based on a database of 73,110 lactating cow's database and pedigree files from 147,131 animals. Biopsied embryos had similar pregnancy rates (39% vs 40%), pregnancy loss rates (18% vs 20%), and pregnancy length compared to Control embryos. After genotyping, low call rate means were detected for biopsy samples compared to the respective calf samples (0.80 vs 0.98). Imputation presented 0.83 (Z-Chip) and 0.96 (HD) accuracy (CORRanim). Embryo GEBV accuracy levels were higher in BovineHD imputation (0.82) than Z-Chip imputation (0.55) or no imputation (0.62), and the correlation between embryo/calf pairs' accuracy was 0.85 for BovineHD imputation, 0.11 for Z-Chip imputation, and 0.02 for no imputation. GEVB estimates correlation between embryo/calf pairs was 0.87 for BovineHD imputation, 0.80 for Z-Chip imputation, and 0.41 before imputation. The call rate of embryo samples did not affect the correlation between embryo/calf pairs for accuracy and GEBV before and after BovineHD imputation. Embryos obtained on the same farm p... Mostrar Tudo |
Palavras-Chave: |
Genotipagem. |
Thesagro: |
Biopsia; Bovino; Embrião Animal; Gado Gir. |
Categoria do assunto: |
L Ciência Animal e Produtos de Origem Animal |
Marc: |
LEADER 02453naa a2200289 a 4500 001 2153627 005 2023-08-22 008 2023 bl uuuu u00u1 u #d 024 7 $ahttps://doi.org/10.1016/j.repbio.2023.100765$2DOI 100 1 $aOLIVEIRA, C. S. 245 $aImputation accuracy for genomic selection using embryo biopsy samples in Gir.$h[electronic resource] 260 $c2023 520 $aThe aim of this study was to establish a platform for genomic selection of in vitro-fertilized (IVF) Gir embryos. Multiple displacement amplification (MDA)-based embryo biopsy samples were genotyped, and genomic estimated breeding values (GEBV) for milk yield (305MY) were calculated. The concordance of GEBV and accuracy between embryo biopsies and the respective liveborn were assessed. Imputation was performed using two panels (Z-Chip and Bovine HD, Illumina) based on a database of 73,110 lactating cow's database and pedigree files from 147,131 animals. Biopsied embryos had similar pregnancy rates (39% vs 40%), pregnancy loss rates (18% vs 20%), and pregnancy length compared to Control embryos. After genotyping, low call rate means were detected for biopsy samples compared to the respective calf samples (0.80 vs 0.98). Imputation presented 0.83 (Z-Chip) and 0.96 (HD) accuracy (CORRanim). Embryo GEBV accuracy levels were higher in BovineHD imputation (0.82) than Z-Chip imputation (0.55) or no imputation (0.62), and the correlation between embryo/calf pairs' accuracy was 0.85 for BovineHD imputation, 0.11 for Z-Chip imputation, and 0.02 for no imputation. GEVB estimates correlation between embryo/calf pairs was 0.87 for BovineHD imputation, 0.80 for Z-Chip imputation, and 0.41 before imputation. The call rate of embryo samples did not affect the correlation between embryo/calf pairs for accuracy and GEBV before and after BovineHD imputation. Embryos obtained on the same farm presented GEBV 305MY differences of up to 800 kg, emphasizing the expected impact of embryo genomic selection for the Gir breed. 650 $aBiopsia 650 $aBovino 650 $aEmbrião Animal 650 $aGado Gir 653 $aGenotipagem 700 1 $aSILVA, M. V. G. B. 700 1 $aQUINTAO, C. C. R. 700 1 $aOTTO, P. I. 700 1 $aALONSO, R. V. 700 1 $aFERES, L. F. 700 1 $aPANETTO, J. C. do C. 700 1 $aMACHADO, M. A. 700 1 $aCAMARGO, L. S. de A. 773 $tReproductive Biology$gv. 23, 100765, 2023.
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