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| Registros recuperados : 4 | |
| 1. |  | STAFUZZA, N. B.; SILVA, R. M. de O.; PERIPOLLI, E.; BEZERRA, L. A. F.; LOBO, R. B.; MAGNABOSCO, C. de U.; DI CROCE, F.; OSTERSTOCK, J.; MUNARI, D. P.; LOURENCO, D. A. L.; BALDI, F. Genome-wide association study provides insights into genes related with horn development in Nelore beef cattle. PLoS ONE, v. 13, n. 8, e0202978, August 30, 2018.| Biblioteca(s): Embrapa Cerrados. |
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| 2. | | PERIPOLLI, E.; METZGER, J.; LEMOS, M. V. A. de; STAFUZZA, N. B.; KLUSKA, S.; OLIVIERI, B. F.; FEITOSA, F. L. B.; BERTON, M. P.; LOPES, F. B.; MUNARI, D. P.; LOBO, R. B.; MAGNABOSCO, C. de U.; DI CROCE, F.; OSTERSTOCK, J.; DENISE, S.; PEREIRA, A. S. C.; BALDI, F. Autozygosity islands and ROH patterns in Nellore lineages: evidence of selection for functionally important traits. BMC Genomics, v. 19, 680, 2018.| Biblioteca(s): Embrapa Cerrados. |
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| 3. | | 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. Estimates of genetic parameters for growth, reproductive, and carcass traits in Nelore cattle using the single step genomic BLUP procedure. Livestock Science, v. 216, p. 203-209, October 2018.| Biblioteca(s): Embrapa Cerrados. |
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| 4. | | KLUSKA, S.; TONUSSI, R. L.; SILVA, R. M. de O.; OLIVERI, B. F.; FEITOSA, F. L. B.; PERIPOLLI, E.; LEMOS, M. V. A.; BERTON, M. P.; CHIAIA, H. L. J.; PEREIRA, A. S. C.; LOBO, R. B.; BEZERRA, L. A.; MAGNABOSCO, C. de U.; AGUILAR, I.; DI CROCE, F.; OSTERSTOCK, J.; BALDI REY, F. S. Caracterização do desequilíbrio de ligação em uma população de bovinos da raça Nelore. In: SIMPÓSIO BRASILEIRO DE MELHORAMENTO ANIMAL, 12., 2017, Ribeirão Preto, SP. Fenômica e outras ômicas na produção animal: anais... Sertãozinho: Sociedade de Melhoramento Animal/Instituto de Zootecnia, 2017. SBMA 2017. 3 p.| Biblioteca(s): Embrapa Cerrados. |
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| Registros recuperados : 4 | |
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 | Acesso ao texto completo restrito à biblioteca da Embrapa Cerrados. Para informações adicionais entre em contato com cpac.biblioteca@embrapa.br. |
Registro Completo
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Biblioteca(s): |
Embrapa Cerrados. |
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Data corrente: |
12/12/2018 |
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Data da última atualização: |
12/12/2018 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Circulação/Nível: |
A - 2 |
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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. |
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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. |
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Título: |
Estimates of genetic parameters for growth, reproductive, and carcass traits in Nelore cattle using the single step genomic BLUP procedure. |
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Ano de publicação: |
2018 |
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Fonte/Imprenta: |
Livestock Science, v. 216, p. 203-209, October 2018. |
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DOI: |
https://doi.org/10.1016/j.livsci.2018.08.015 |
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Idioma: |
Inglês |
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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 |
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Thesagro: |
Análise Biológica; Bos Indicus; Gado de Corte; Genética Animal; Parâmetro Genético; Seleção Genética; Variação Genética. |
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Categoria do assunto: |
G Melhoramento Genético |
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Marc: |
LEADER 03701naa a2200421 a 4500
001 2101352
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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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