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Registro Completo |
Biblioteca(s): |
Embrapa Pecuária Sul. |
Data corrente: |
24/07/2019 |
Data da última atualização: |
01/10/2019 |
Tipo da produção científica: |
Artigo em Periódico Indexado |
Autoria: |
CAMPOS, G. S.; REIMANN, F. A.; SCHIMDT, P. I.; CARDOSO, L. L.; SOLLERO, B. P.; BRACCINI, J.; YOKOO, M. J. I.; BOLIGON, A. A.; CARDOSO, F. F. |
Afiliação: |
G. S. Campos, UFPEL; F. A. Reimann, UFPEL; P. I. Schimdt, UFPEL; L. L. Cardoso; BRUNA PENA SOLLERO, CPPSUL; J. Braccini, UFRGS; MARCOS JUN ITI YOKOO, CPPSUL; A. A. Boligon, UFPEL; FERNANDO FLORES CARDOSO, CPPSUL. |
Título: |
Threshold and linear models for genetic evaluation of visual scores in Hereford and Braford cattle. |
Ano de publicação: |
2019 |
Fonte/Imprenta: |
Animal Production Science, v. 59, n. 4, p. 619-627, 2019. |
DOI: |
doi.org/10.1071/AN17436 |
Idioma: |
Inglês |
Conteúdo: |
Data from 127 539 Hereford and Braford cattle were used to compare estimates of genetic parameters for navel, conformation, precocity, muscling and size visual scores at yearling, using linear and threshold animal models. In a second step, these models were cross-validated using a multinomial logistic regression in order to quantify the association between phenotype and genetic merit for each trait. For navel score, higher heritability was obtained with the threshold model (0.42 ± 0.02) in relation to the linear model (0.22 ± 0.02). However, similar heritability was estimated in both models for conformation, precocity, muscling and size, with values of 0.18 ± 0.01, 0.19 ± 0.01, 0.19 ± 0.01 and 0.26 ± 0.01, respectively, using linear model, and of 0.19 ± 0.01, 0.19 ± 0.01, 0.20 ± 0.01, and 0.29 ± 0.01, respectively, using threshold model. For navel score, Spearman correlations between sires? breeding values predicted using linear and threshold models ranged from 0.60 (1% of the best sires are selected) to 0.96 (all sires are selected). For conformation, precocity, muscling and size scores, low changes in sires? rank are expected using these models (Spearman correlations >0.86), regardless of the proportion of sires selected. Except for navel with the linear model, the direction of the associations between phenotype and genetic merit were in accordance with its expectation, as there were increases in the phenotype per unit of change in the breeding value. Thus, the threshold model would be recommended to perform genetic evaluation of navel score in this population. However, linear and threshold models showed similar predictive ability for conformation, precocity, muscling and size scores. MenosData from 127 539 Hereford and Braford cattle were used to compare estimates of genetic parameters for navel, conformation, precocity, muscling and size visual scores at yearling, using linear and threshold animal models. In a second step, these models were cross-validated using a multinomial logistic regression in order to quantify the association between phenotype and genetic merit for each trait. For navel score, higher heritability was obtained with the threshold model (0.42 ± 0.02) in relation to the linear model (0.22 ± 0.02). However, similar heritability was estimated in both models for conformation, precocity, muscling and size, with values of 0.18 ± 0.01, 0.19 ± 0.01, 0.19 ± 0.01 and 0.26 ± 0.01, respectively, using linear model, and of 0.19 ± 0.01, 0.19 ± 0.01, 0.20 ± 0.01, and 0.29 ± 0.01, respectively, using threshold model. For navel score, Spearman correlations between sires? breeding values predicted using linear and threshold models ranged from 0.60 (1% of the best sires are selected) to 0.96 (all sires are selected). For conformation, precocity, muscling and size scores, low changes in sires? rank are expected using these models (Spearman correlations >0.86), regardless of the proportion of sires selected. Except for navel with the linear model, the direction of the associations between phenotype and genetic merit were in accordance with its expectation, as there were increases in the phenotype per unit of change in the breeding value. Thus, the thres... Mostrar Tudo |
Palavras-Chave: |
Inferência bayesiana. |
Thesagro: |
Criação; Gado de Corte; Melhoramento Genético Animal. |
Categoria do assunto: |
-- |
Marc: |
LEADER 02568naa a2200277 a 4500 001 2110830 005 2019-10-01 008 2019 bl uuuu u00u1 u #d 024 7 $adoi.org/10.1071/AN17436$2DOI 100 1 $aCAMPOS, G. S. 245 $aThreshold and linear models for genetic evaluation of visual scores in Hereford and Braford cattle.$h[electronic resource] 260 $c2019 520 $aData from 127 539 Hereford and Braford cattle were used to compare estimates of genetic parameters for navel, conformation, precocity, muscling and size visual scores at yearling, using linear and threshold animal models. In a second step, these models were cross-validated using a multinomial logistic regression in order to quantify the association between phenotype and genetic merit for each trait. For navel score, higher heritability was obtained with the threshold model (0.42 ± 0.02) in relation to the linear model (0.22 ± 0.02). However, similar heritability was estimated in both models for conformation, precocity, muscling and size, with values of 0.18 ± 0.01, 0.19 ± 0.01, 0.19 ± 0.01 and 0.26 ± 0.01, respectively, using linear model, and of 0.19 ± 0.01, 0.19 ± 0.01, 0.20 ± 0.01, and 0.29 ± 0.01, respectively, using threshold model. For navel score, Spearman correlations between sires? breeding values predicted using linear and threshold models ranged from 0.60 (1% of the best sires are selected) to 0.96 (all sires are selected). For conformation, precocity, muscling and size scores, low changes in sires? rank are expected using these models (Spearman correlations >0.86), regardless of the proportion of sires selected. Except for navel with the linear model, the direction of the associations between phenotype and genetic merit were in accordance with its expectation, as there were increases in the phenotype per unit of change in the breeding value. Thus, the threshold model would be recommended to perform genetic evaluation of navel score in this population. However, linear and threshold models showed similar predictive ability for conformation, precocity, muscling and size scores. 650 $aCriação 650 $aGado de Corte 650 $aMelhoramento Genético Animal 653 $aInferência bayesiana 700 1 $aREIMANN, F. A. 700 1 $aSCHIMDT, P. I. 700 1 $aCARDOSO, L. L. 700 1 $aSOLLERO, B. P. 700 1 $aBRACCINI, J. 700 1 $aYOKOO, M. J. I. 700 1 $aBOLIGON, A. A. 700 1 $aCARDOSO, F. F. 773 $tAnimal Production Science$gv. 59, n. 4, p. 619-627, 2019.
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Registros recuperados : 10 | |
1. | | CESCONETO, R. J.; JOOST, S.; MCMANUS, C. M.; PAIVA, S. R.; COBUCI, J. A.; BRACCINI, J. Landscape genomic approach to detect selection signatures in locally adapted Brazilian swine genetic groups. Ecology and Evolution, November, v. 7, n. 22), p p.9544-9556 , 2017.Tipo: Artigo em Periódico Indexado | Circulação/Nível: A - 2 |
Biblioteca(s): Embrapa Recursos Genéticos e Biotecnologia. |
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2. | | SANTOS, H. P. dos; REIS, E. M.; BRACCINI, J. C.; SANDINI, I. Características agronômicas e controle de doenças radiculares da cevada, em sistema plantio direto em rotação com outras culturas. Pesquisa Agropecuária Brasileira, Brasília, DF, v. 30, n. 11, p. 1297-1303, nov. 1995. Título em inglês: Agronomic characteristics and control of barley root disease, under no-tillage, in rotation with other crops.Biblioteca(s): Embrapa Unidades Centrais. |
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5. | | PICCOLI, M. L.; BRITO, L. F.; BRACCINI, J.; BRITO, F. V.; CARDOSO, F. F.; COBUCI, J. A.; SARGOLZAEI, M.; SCHENKEL, F. S. A comprehensive comparison between single- and two-step GBLUP methods in a simulated beef cattle population. Canadian Journal of Animal Science, v. 98, n. 3, p. 565-575, Sept. 2018.Tipo: Artigo em Periódico Indexado | Circulação/Nível: B - 1 |
Biblioteca(s): Embrapa Pecuária Sul. |
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6. | | CAMPOS, G. S.; REIMANN, F. A.; SCHIMDT, P. I.; CARDOSO, L. L.; SOLLERO, B. P.; BRACCINI, J.; YOKOO, M. J. I.; BOLIGON, A. A.; CARDOSO, F. F. Threshold and linear models for genetic evaluation of visual scores in Hereford and Braford cattle. Animal Production Science, v. 59, n. 4, p. 619-627, 2019.Tipo: Artigo em Periódico Indexado | Circulação/Nível: A - 2 |
Biblioteca(s): Embrapa Pecuária Sul. |
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7. | | CAMPOS, G. S.; SOLLERO, B. P.; REIMANN, F. A.; JUNQUEIRA, V. S.; CARDOSO, L. L.; YOKOO, M. J. I.; BOLIGON, A. A.; BRACCINI, J.; CARDOSO, F. F. Tag-SNP selection using Bayesian genomewide association study for growth traits in Hereford and Braford cattle. Journal of Animal Breeding and Genetics, v. 137, n. 5, p. 449-467, Sept. 2020.Tipo: Artigo em Periódico Indexado | Circulação/Nível: A - 1 |
Biblioteca(s): Embrapa Pecuária Sul. |
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8. | | CAMPOS, G. S.; REIMANN, F. A.; JUNQUEIRA, V. S.; BRACCINI, J.; CARDOSO, L. L.; YOKOO, M. J. I.; SOLLERO, B. P.; GULIAS GOMES, C. C.; BOLIGON, A. A.; CAETANO, A. R.; CARDOSO, F. F. Tag-SNP selection using Bayesian genome-wide association study for growth and adaptation traits in Hereford and Braford cattle. In: WORLD CONGRESS ON GENETICS APPLIED TO LIVESTOCK PRODUCTION, 11., 2018, Auckland, New Zealand. Proceedings... Massey University, 2018.Tipo: Artigo em Anais de Congresso |
Biblioteca(s): Embrapa Recursos Genéticos e Biotecnologia. |
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9. | | CAMPOS, G. S.; REIMANN, F. A.; JUNQUEIRA, V. S.; BRACCINI, J.; CARDOSO, L. L.; YOKOO, M. J. I.; SOLLERO, B. P.; GULIAS GOMES, C. C.; BOLIGON, A. A.; CAETANO, A. R.; CARDOSO, F. F. Tag-SNP selection using Bayesian genome-wide association study for growth and adaptation traits in Hereford and Braford cattle. In: WORLD CONGRESS ON GENETICS APPLIED TO LIVESTOCK PRODUCTION, 11., 2018, Auckland, New Zealand. Proceedings... Massey University, 2018. Digital Archive.Tipo: Artigo em Anais de Congresso |
Biblioteca(s): Embrapa Pecuária Sul. |
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10. | | ANDRADE, B. O.; DRÖSE, W.; AGUIAR, C. A. de; AIRES, E. T.; ALVARES, D. J.; BARBIERI, R. L.; CARVALHO, C. J. B. de; BARTZ, M.; BECKER, F. G.; BENCKE, G. A.; BENEDUZI, A.; SILVA, J. B.; BLOCHTEIN, B.; BOLDRINI, I. I.; BOLL, P. K.; BORDIN, J.; SILVEIRA, R. M. B. da; MARTINS, M. B.; BOSENBECKER, C.; BRACCINI, J.; BRAUN, B.; BRITO, R.; BROWN, G. G.; BÜNEKER, H. M.; BUZATTO, C. R.; CAVALLERI, A.; CECHIN, S. Z.; COLOMBO, P.; CONSTANTINO, R.; COSTA, C. F. da; DALZOCHIO, M. S.; OLIVEIRA, M. G. de; DIAS, R. A.; SANTOS, L. A. dos; DUARTE, A. da F.; DUARTE, J. L. P.; DURIGON, J.; SILVA, M. E. da; FERREIRA, P. P. A.; FERREIRA, T.; FERRER, J.; FERRO, V. G.; FONTANA, C. S.; FREIRE, M. D.; FREITAS, T. R. O.; GALIANO, D.; GARCIA, M.; SANTOS, T. G. dos; GOMES, L. R. P.; GONZATTI, F.; GOTTSCHALK, M. S.; GRACIOLLI, G.; GRANADA, C. E.; GRINGS, M.; GUIMARÃES, P. S.; HEYDRICH, I.; IOP, S.; JARENKOW, J. A.; JUNGBLUTH, P.; KÄFFER, M. I.; KAMINSKI, L. A.; KENNE, D. C.; KIRST, F. D.; KROLOW, T. K.; KRÜGER, R. F.; KUBIAK, B. B.; LEAL-ZANCHET, A. M.; LOEBMANN, D.; LUCAS, D. B.; LUCAS, E. M.; LUZA, A. L.; MACHADO, I. F.; MADALOZZO, B.; MAESTRI, R.; MALABARBA, L. R.; MANEYRO, R.; MARINHO, M. A. T.; MARQUES, R.; MARTA, K. da S.; MARTINS, D. da S.; MARTINS, G. da S.; MARTINS, T. R.; MELLO, A. S. de; MELLO, R. L.; MENDONÇA JUNIOR, M. de S.; MORAIS, A. B. B. de; MOREIRA, F. F. F.; MOREIRA, L. F. B.; MOURA, L. de A.; NERVO, M. H.; OTT, R.; PALUDO, P.; PASSAGLIA, L. M. P.; PÉRICO, E.; PETZHOLD, E. S.; PIRES, M. M.; POPPE, J. L.; QUINTELA, F. M.; RAGUSE-QUADROS, M.; PEREIRA, M. J. R.; RENNER, S.; RIBEIRO, F. B.; RIBEIRO, J. R. I.; RODRIGUES, E. N. L.; RODRIGUES, P. E. S.; ROMANOWSKI, H. P.; RUSCHEL, T. P.; SACCOL, S. da S. A.; SAVARIS, M.; SILVEIRA, F. S.; SCHMITZ, H. J.; SIEGLOCH, A. E.; SIEWERT, R. R.; SILVA FILHO, P. J. S. da; SOARES, A. G.; SOMAVILLA, A.; SPEROTTO, P.; SPIES, M. R.; TIRELLI, F. P.; TOZETTI, A. M.; VERRASTRO, L.; ELY, C. V.; SILVA, Â. Z. da; ZANK, C.; ZEFA, E.; OVERBECK, G. E. 12,500+ and counting: biodiversity of the Brazilian Pampa Frontiers of Biogeography, v. 15, n. 2, e59288, 2023. 1948-6596Tipo: Artigo em Periódico Indexado | Circulação/Nível: B - 2 |
Biblioteca(s): Embrapa Clima Temperado; Embrapa Florestas. |
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