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Registro Completo |
Biblioteca(s): |
Embrapa Cerrados. |
Data corrente: |
12/12/2018 |
Data da última atualização: |
12/12/2018 |
Tipo da produção científica: |
Artigo em Periódico Indexado |
Autoria: |
KLUSKA, S.; OLIVIERI, B. F.; BONAMY, M.; CHIAIA, H. L. J.; FEITOSA, F. L. B.; BERTON, M. P.; PERIPOLLI, E.; LEMOS, M. V. A.; TONUSSI, R. L.; LOBO, R. B.; MAGNABOSCO, C. de U.; CI CROCE, F.; OSTERSTOCK, J.; PEREIRA, A. S. C.; MUNARI, D. P.; BEZERRA, L. A.; LOPES, F. B.; BALDI, F. |
Afiliação: |
SABRINA KLUSKA; BIANCA FERREIRA OLIVIERI; MARTIN BONAMY; HERMENEGILDO LUCAS JUSTINO; FABIELI LOISE BRAGA FEITOSA; MARIANA PIATTO BERTON; ELISA PERIPOLLI; MARCOS VINICIUS ANTUNES LEMOS; RAFAEL LARA TONUSSI; RAYSILDO BARBOSA LOBO; CLAUDIO DE ULHOA MAGNABOSCO, CPAC; FERNANDO DI CROCE; JASON OSTERSTOCK; ANGELICA SIMONE CRAVO PEREIRA; DANISIO PRADO MUNARI; LUIZ ANTONIO BEZERRA; FERNANDO BRITO LOPES; FERNANDO BALDI. |
Título: |
Estimates of genetic parameters for growth, reproductive, and carcass traits in Nelore cattle using the single step genomic BLUP procedure. |
Ano de publicação: |
2018 |
Fonte/Imprenta: |
Livestock Science, v. 216, p. 203-209, October 2018. |
DOI: |
https://doi.org/10.1016/j.livsci.2018.08.015 |
Idioma: |
Inglês |
Conteúdo: |
Abstract This study was carried out to estimate the heritability and genetic correlations between adjusted weights at 210 (W210) and 450 (W450) days of age, scrotal circumference adjusted at 365 (SC365) and 450 (SC450) days of age, age at first calving (AFC), probability of precocious calving (PPC), stayability (STAY), ribeye area (REA), subcutaneous backfat thickness (BF), and rump fat (RF) traits. The covariance components and genetic parameters for all traits but PPC and STAY were estimated considering a linear animal model, for the remaining traits a threshold animal model was used. The single-step genomic BLUP (ssGBLUP) procedure was used for all traits, and the correlation estimates were obtained by two-traits analysis. The heritability estimated by single-trait analysis were 0.21 ± 0.01, 0.43 ± 0.01, 0.47 ± 0.02, 0.52 ± 0.02, 0.11 ± 0.01, 0.12 (0.07?0.16), 0.37 (0.26?0.38), 0.33 ± 0.02, 0.17 ± 0.01 and 0.33 ± 0.02 for W210, W450, SC365, SC450, AFC, PPC, STAY, REA, BF and RF, respectively. Growth traits (W210 and W450) showed high (0.95) genetic correlation with one another, moderate (0.30 to 0.66) with REA and scrotal circumferences, and low (−0.07 to 0.20) with female reproductive traits (AFC, PPC, and STAY) and fat carcass indicator traits (BF and RF). Female reproductive traits displayed moderate (−0.29 to 0.52) genetic correlations with male reproductive traits, and varied from low to moderate (−0.02 to 0.35) with carcass traits. Additionally, carcass traits exhibited low to moderate (−0.02 to 0.48) genetic correlations with all traits, except for the genetic correlation between BF and RF (0.73). Hence, higher genetic gains by direct selection would be obtained for W450, SC365, SC450, STAY, REA, and RF. Selection to increase growth traits might increase carcass yield and scrotal circumference, and it would not affect carcass fat content, precocity, and cow longevity indicator traits. The results of this study encourage the use of PPC in Nelore cattle since the selection for such trait would improve the productivity and longevity of the cows. The inclusion of carcass quality indicator traits such as BF or RF in selection indices would increase the genetic gain for carcass grade, but it will require further studies to estimate the economic value of these traits. MenosAbstract This study was carried out to estimate the heritability and genetic correlations between adjusted weights at 210 (W210) and 450 (W450) days of age, scrotal circumference adjusted at 365 (SC365) and 450 (SC450) days of age, age at first calving (AFC), probability of precocious calving (PPC), stayability (STAY), ribeye area (REA), subcutaneous backfat thickness (BF), and rump fat (RF) traits. The covariance components and genetic parameters for all traits but PPC and STAY were estimated considering a linear animal model, for the remaining traits a threshold animal model was used. The single-step genomic BLUP (ssGBLUP) procedure was used for all traits, and the correlation estimates were obtained by two-traits analysis. The heritability estimated by single-trait analysis were 0.21 ± 0.01, 0.43 ± 0.01, 0.47 ± 0.02, 0.52 ± 0.02, 0.11 ± 0.01, 0.12 (0.07?0.16), 0.37 (0.26?0.38), 0.33 ± 0.02, 0.17 ± 0.01 and 0.33 ± 0.02 for W210, W450, SC365, SC450, AFC, PPC, STAY, REA, BF and RF, respectively. Growth traits (W210 and W450) showed high (0.95) genetic correlation with one another, moderate (0.30 to 0.66) with REA and scrotal circumferences, and low (−0.07 to 0.20) with female reproductive traits (AFC, PPC, and STAY) and fat carcass indicator traits (BF and RF). Female reproductive traits displayed moderate (−0.29 to 0.52) genetic correlations with male reproductive tra... Mostrar Tudo |
Thesagro: |
Análise Biológica; Bos Indicus; Gado de Corte; Genética Animal; Parâmetro Genético; Seleção Genética; Variação Genética. |
Categoria do assunto: |
G Melhoramento Genético |
Marc: |
LEADER 03701naa a2200421 a 4500 001 2101352 005 2018-12-12 008 2018 bl uuuu u00u1 u #d 024 7 $ahttps://doi.org/10.1016/j.livsci.2018.08.015$2DOI 100 1 $aKLUSKA, S. 245 $aEstimates of genetic parameters for growth, reproductive, and carcass traits in Nelore cattle using the single step genomic BLUP procedure.$h[electronic resource] 260 $c2018 520 $aAbstract This study was carried out to estimate the heritability and genetic correlations between adjusted weights at 210 (W210) and 450 (W450) days of age, scrotal circumference adjusted at 365 (SC365) and 450 (SC450) days of age, age at first calving (AFC), probability of precocious calving (PPC), stayability (STAY), ribeye area (REA), subcutaneous backfat thickness (BF), and rump fat (RF) traits. The covariance components and genetic parameters for all traits but PPC and STAY were estimated considering a linear animal model, for the remaining traits a threshold animal model was used. The single-step genomic BLUP (ssGBLUP) procedure was used for all traits, and the correlation estimates were obtained by two-traits analysis. The heritability estimated by single-trait analysis were 0.21 ± 0.01, 0.43 ± 0.01, 0.47 ± 0.02, 0.52 ± 0.02, 0.11 ± 0.01, 0.12 (0.07?0.16), 0.37 (0.26?0.38), 0.33 ± 0.02, 0.17 ± 0.01 and 0.33 ± 0.02 for W210, W450, SC365, SC450, AFC, PPC, STAY, REA, BF and RF, respectively. Growth traits (W210 and W450) showed high (0.95) genetic correlation with one another, moderate (0.30 to 0.66) with REA and scrotal circumferences, and low (−0.07 to 0.20) with female reproductive traits (AFC, PPC, and STAY) and fat carcass indicator traits (BF and RF). Female reproductive traits displayed moderate (−0.29 to 0.52) genetic correlations with male reproductive traits, and varied from low to moderate (−0.02 to 0.35) with carcass traits. Additionally, carcass traits exhibited low to moderate (−0.02 to 0.48) genetic correlations with all traits, except for the genetic correlation between BF and RF (0.73). Hence, higher genetic gains by direct selection would be obtained for W450, SC365, SC450, STAY, REA, and RF. Selection to increase growth traits might increase carcass yield and scrotal circumference, and it would not affect carcass fat content, precocity, and cow longevity indicator traits. The results of this study encourage the use of PPC in Nelore cattle since the selection for such trait would improve the productivity and longevity of the cows. The inclusion of carcass quality indicator traits such as BF or RF in selection indices would increase the genetic gain for carcass grade, but it will require further studies to estimate the economic value of these traits. 650 $aAnálise Biológica 650 $aBos Indicus 650 $aGado de Corte 650 $aGenética Animal 650 $aParâmetro Genético 650 $aSeleção Genética 650 $aVariação Genética 700 1 $aOLIVIERI, B. F. 700 1 $aBONAMY, M. 700 1 $aCHIAIA, H. L. J. 700 1 $aFEITOSA, F. L. B. 700 1 $aBERTON, M. P. 700 1 $aPERIPOLLI, E. 700 1 $aLEMOS, M. V. A. 700 1 $aTONUSSI, R. L. 700 1 $aLOBO, R. B. 700 1 $aMAGNABOSCO, C. de U. 700 1 $aCI CROCE, F. 700 1 $aOSTERSTOCK, J. 700 1 $aPEREIRA, A. S. C. 700 1 $aMUNARI, D. P. 700 1 $aBEZERRA, L. A. 700 1 $aLOPES, F. B. 700 1 $aBALDI, F. 773 $tLivestock Science$gv. 216, p. 203-209, October 2018.
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2. | | ROSA, J. O.; VARGAS, G.; BERNARDES, P. A.; FIGUEIREDO, E. A. P. de; LEDUR, M. C.; MUNARI, D. P. Avaliação da endogamia de uma população de aves de postura White Leghorn. In: SIMPÓSIO BRASILEIRO DE MELHORAMENTO ANIMAL, 10., 2013, Uberaba. Anais... Belo Horizonte: SBMA, 2013.Tipo: Artigo em Anais de Congresso |
Biblioteca(s): Embrapa Suínos e Aves. |
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3. | | LEONI, G.; BUZANSKAS, M. E.; MARCONDES, C. R.; REGITANO, L. C. de A.; MUNARI, D. P.; BERNARDES, P. A. Imputação utilizando painéis personalizados em bovinos da raça Canchim. In: SIMPÓSIO BRASILEIRO DE MELHORAMENTO ANIMAL, 15., 2023, Jataí. O reinado dos fenótipos: novos desafios. Anais.... Jataí: SBMA, 2023. p. 120-122.Tipo: Artigo em Anais de Congresso |
Biblioteca(s): Embrapa Pecuária Sudeste. |
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6. | | CARVAJAL, A. B.; MARCHESI, J. A. P.; BERNARDES, P. A.; CANTAO, M. E.; PEIXOTO, J. de O.; FIGUEIREDO, E. A. P. de; LEDUR, M. C.; MUNARI, D. P. Estrutura populacional de uma linha paterna de frangos de corte usando análise de registros de pedigree. In: CURSO DE INVERNO DE GENÉTICA, 7., FACAV-UNESP, 2016. Publicado: Ciência & Tecnologia: Fatec-JB, Jaboticabal, v. 8, n. 1, 2016. Número especial 2.Tipo: Artigo em Anais de Congresso |
Biblioteca(s): Embrapa Suínos e Aves. |
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7. | | NASCIMENTO, G. B.; SAVEGNAGO, R. P.; URBINATI, I.; BERNARDES, P. A.; FERRAUDO, A. S.; SCHMIDT, G. S.; LEDUR, M. C.; MUNARI, D. P. The use of artificial neural networks to explore the relationship between breeding values of egg production with other phenotypic measurements in hens of a white leghorn population. In: CONGRESSO BRASILEIRO DE GENÉTICA, 58., 2012, Foz do Iguaçu. Resumos... Foz do Iguaçú: SBG, 2012. p. 38.Tipo: Resumo em Anais de Congresso |
Biblioteca(s): Embrapa Suínos e Aves. |
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8. | | DUARTE, I. N. H.; MAIA, R. de O. G.; MARCIANO, L E. A.; SANTOS, M. S.; BERNARDES, P. A.; BERRY, D.; REGITANO, L. C. de A.; BUZANSKAS, M. E. Contribuição das raças charolês e nelore na acurácia de imputação de animais Canchim. In: CONGRESSO NORDESTINO DE PRODUÇÃO ANIMAL, 13., 2018, João Pessoa, PE. Anais... João Pessoa, PE: SNPA, 2018. João Pessoa de 15 a 17 de novembro de 2018.Tipo: Resumo em Anais de Congresso |
Biblioteca(s): Embrapa Pecuária Sudeste. |
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9. | | MARCIANO, L. E. A.; MAIA, R. de O. G.; SANTOS; DUARTE, I. N. H.; BERNARDES, P. A.; CHUD, T. C. S.; REGITANO, L. C. de A.; BUZANSKAS, M. E. Estratégias de imputação em gado Canchim utilizando população de referência da raça Nelore. In: REUNIÃO ANUAL DA SOCIEDADE BRASILEIRA DE ZOOTECNIA, 55.; CONGRESSO BRASILEIRO DE ZOOTECNIA, 28., 2018, Goiânia. Construindo saberes, formando pessoas e transformando a produção animal: anais eletrônicos. Goiânia: Sociedade Brasileira de Zootecnia, 2018.Tipo: Artigo em Anais de Congresso |
Biblioteca(s): Embrapa Pecuária Sudeste. |
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10. | | BUZANSKAS, M. E.; VENTURA, R. V.; CHUD, T. C. S.; SANTOS, D. J. A.; BERNARDES, P. A.; SILVA, T. B. R.; MUDADU, M. A.; REGITANO, L. C. A.; SILVA, M. V. G. B.; LI, C.; SCHENKEL, F. S.; ALENCAR, M. M.; MUNARI, D. P. Admixture analysis in Brazillian synthetic cattle. In: ADSA ASAS JOINT ANNUAL MEETING, 2015, Orlando. Proceedings... Orlando: ADSA: ASAS, 2015.Tipo: Resumo em Anais de Congresso |
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11. | | BUZANSKAS, M. E.; VENTURA, R. V.; CHUD, T. C. S.; BERNARDES, P. A.; SANTOS, D. J. de A.; REGITANO, L. C. de A.; ALENCAR, M. M. de; MUDADU, M. de A.; ZANELLA, R.; SILVA, M. V. G. B.; LI, C.; SCHENKE, F. S.; MUNARI, D. P. Study on the introgression of beef breeds in canchim cattle using single nucleotide polymorphism markers. Plos one, v. 12, p. 1-16, 2017.Tipo: Artigo em Periódico Indexado | Circulação/Nível: A - 1 |
Biblioteca(s): Embrapa Agricultura Digital; Embrapa Gado de Leite; Embrapa Pecuária Sudeste. |
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