| |
|
|
 | Acesso ao texto completo restrito à biblioteca da Embrapa Gado de Leite. Para informações adicionais entre em contato com cnpgl.biblioteca@embrapa.br. |
|
Registro Completo |
|
Biblioteca(s): |
Embrapa Gado de Leite. |
|
Data corrente: |
23/02/2023 |
|
Data da última atualização: |
06/09/2023 |
|
Tipo da produção científica: |
Artigo em Periódico Indexado |
|
Autoria: |
CARRARA, E. R.; PEIXOTO, M. G. C. D.; SILVA, A. A. da; BRUNELI, F. A. T.; VENTURA, H. T.; ZADRA, L. E. F.; JOSAHKIAN, L. A.; VERONEZE, R.; LOPES, P. S. |
|
Afiliação: |
EULA REGINA CARRARA, Universidade Federal de Viçosa; MARIA GABRIELA CAMPOLINA D PEIXOTO, CNPGL; ALESSANDRA ALVES DA SILVA, Universidade Estadual Paulista; FRANK ANGELO TOMITA BRUNELI, CNPGL; HENRIQUE TORRES VENTURA, Associação Brasileira dos Criadores de Zebu; LENIRA EL FARO ZADRA, Centro Brasileiro de Melhoramento Genético do Guzerá; LUIZ ANTÔNIO JOSAHKIAN, Associação Brasileira dos Criadores de Zebu; RENATA VERONEZE, Universidade Federal de Viçosa; PAULO SÁVIO LOPES, Universidade Federal de Viçosa. |
|
Título: |
Genomic prediction in Brazilian Guzerá cattle: application of a single-step approach to productive and reproductive traits. |
|
Ano de publicação: |
2023 |
|
Fonte/Imprenta: |
Tropical Animal Health and Production, v. 55, article 48, 2023. |
|
DOI: |
https://doi.org/10.1007/s11250-023-03484-9 |
|
Idioma: |
Inglês |
|
Conteúdo: |
This study aimed to investigate the feasibility of genomic prediction for productive and reproductive traits in Guzerá cattle using single-step genomic best linear unbiased prediction (ssGBLUP). Evaluations included the 305-day cumulative yields (frst lactation, in kg) of milk, lactose, protein, fat, and total solids; adjusted body weight (kg) at the ages of 450, 365, and 210 days; and age at frst calving (in days), from a database containing 197,283 measurements from Guzerá males and females born between 1954 and 2018. The pedigree included 433,823 animals spanning up to 14 overlapping generations. A total of 1618 animals were genotyped. The analyses were performed using ssGBLUP and traditional BLUP methods. Predictive ability and bias were accessed using cross-validation: predictive ability was similar between the methods and ranged from 0.27 to 0.47 for the genomic-based model and from 0.30 to 0.45 for the pedigree-based model; the bias was also similar between the methods, ranging from 0.88 to 1.35 in the genomic-based model and from 0.96 to 1.41 in the pedigree-based model. The individual accuracies of breeding values were evidently increased in the genomic evaluation, with values ranging from 0.41 to 0.56 in the genomic-based model and from 0.26 to 0.54 in the pedigree-based model. Even based on a small number of genotyped animals and a small database for some traits, the results suggest that ssGBLUP is feasible and may be applied to national genetic evaluation of the breed to increase the accuracy of breeding values without greatly impacting predictive ability and bias. MenosThis study aimed to investigate the feasibility of genomic prediction for productive and reproductive traits in Guzerá cattle using single-step genomic best linear unbiased prediction (ssGBLUP). Evaluations included the 305-day cumulative yields (frst lactation, in kg) of milk, lactose, protein, fat, and total solids; adjusted body weight (kg) at the ages of 450, 365, and 210 days; and age at frst calving (in days), from a database containing 197,283 measurements from Guzerá males and females born between 1954 and 2018. The pedigree included 433,823 animals spanning up to 14 overlapping generations. A total of 1618 animals were genotyped. The analyses were performed using ssGBLUP and traditional BLUP methods. Predictive ability and bias were accessed using cross-validation: predictive ability was similar between the methods and ranged from 0.27 to 0.47 for the genomic-based model and from 0.30 to 0.45 for the pedigree-based model; the bias was also similar between the methods, ranging from 0.88 to 1.35 in the genomic-based model and from 0.96 to 1.41 in the pedigree-based model. The individual accuracies of breeding values were evidently increased in the genomic evaluation, with values ranging from 0.41 to 0.56 in the genomic-based model and from 0.26 to 0.54 in the pedigree-based model. Even based on a small number of genotyped animals and a small database for some traits, the results suggest that ssGBLUP is feasible and may be applied to national genetic evaluation of the ... Mostrar Tudo |
|
Palavras-Chave: |
Predição genômica. |
|
Thesagro: |
Bovino; Gado Guzerá; Raça; Reprodução Animal. |
|
Categoria do assunto: |
L Ciência Animal e Produtos de Origem Animal |
|
Marc: |
LEADER 02508naa a2200289 a 4500
001 2151876
005 2023-09-06
008 2023 bl uuuu u00u1 u #d
024 7 $ahttps://doi.org/10.1007/s11250-023-03484-9$2DOI
100 1 $aCARRARA, E. R.
245 $aGenomic prediction in Brazilian Guzerá cattle$bapplication of a single-step approach to productive and reproductive traits.$h[electronic resource]
260 $c2023
520 $aThis study aimed to investigate the feasibility of genomic prediction for productive and reproductive traits in Guzerá cattle using single-step genomic best linear unbiased prediction (ssGBLUP). Evaluations included the 305-day cumulative yields (frst lactation, in kg) of milk, lactose, protein, fat, and total solids; adjusted body weight (kg) at the ages of 450, 365, and 210 days; and age at frst calving (in days), from a database containing 197,283 measurements from Guzerá males and females born between 1954 and 2018. The pedigree included 433,823 animals spanning up to 14 overlapping generations. A total of 1618 animals were genotyped. The analyses were performed using ssGBLUP and traditional BLUP methods. Predictive ability and bias were accessed using cross-validation: predictive ability was similar between the methods and ranged from 0.27 to 0.47 for the genomic-based model and from 0.30 to 0.45 for the pedigree-based model; the bias was also similar between the methods, ranging from 0.88 to 1.35 in the genomic-based model and from 0.96 to 1.41 in the pedigree-based model. The individual accuracies of breeding values were evidently increased in the genomic evaluation, with values ranging from 0.41 to 0.56 in the genomic-based model and from 0.26 to 0.54 in the pedigree-based model. Even based on a small number of genotyped animals and a small database for some traits, the results suggest that ssGBLUP is feasible and may be applied to national genetic evaluation of the breed to increase the accuracy of breeding values without greatly impacting predictive ability and bias.
650 $aBovino
650 $aGado Guzerá
650 $aRaça
650 $aReprodução Animal
653 $aPredição genômica
700 1 $aPEIXOTO, M. G. C. D.
700 1 $aSILVA, A. A. da
700 1 $aBRUNELI, F. A. T.
700 1 $aVENTURA, H. T.
700 1 $aZADRA, L. E. F.
700 1 $aJOSAHKIAN, L. A.
700 1 $aVERONEZE, R.
700 1 $aLOPES, P. S.
773 $tTropical Animal Health and Production$gv. 55, article 48, 2023.
Download
Esconder MarcMostrar Marc Completo |
|
Registro original: |
Embrapa Gado de Leite (CNPGL) |
|
|
Biblioteca |
ID |
Origem |
Tipo/Formato |
Classificação |
Cutter |
Registro |
Volume |
Status |
URL |
Voltar
|
|
|
Registro Completo
|
Biblioteca(s): |
Embrapa Pecuária Sudeste. |
|
Data corrente: |
24/11/2016 |
|
Data da última atualização: |
24/11/2016 |
|
Tipo da produção científica: |
Resumo em Anais de Congresso |
|
Autoria: |
CESAR, A. S. M.; REGITANO, L. C. de A.; LANNA, D. P. D.; POLETI, M. D.; KOLTES, J. E.; REECY, J. M.; FRITZ-WATERS, E.; KRAMER, L.; GARRICK, D.; MUDADU, M. de A.; TULLIO, R. R.; COUTINHO, L. L. |
|
Afiliação: |
Aline Silva Mello Cesar, ESALQ/USP; LUCIANA CORREIA DE ALMEIDA REGITANO, CPPSE; Dante Pazzanese Duarte Lanna, ESALQ/USP; Mirele Daiana Poleti, ESALQ/USP; James Eugene Koltes, University of Arkansas; James M. Reecy, Iowa State University; Eric Fritz-Waters, Iowa State University; Luke Kramer, Iowa State University; Dorian Garrick, Iowa State University; MAURICIO DE ALVARENGA MUDADU, CNPTIA; RYMER RAMIZ TULLIO, CPPSE; Luiz Lehmann Coutinho, ESALQ/USP. |
|
Título: |
Expression quantitative trait loci (eQTL) hotspot regions from whole genome analysis of Nellore steers. |
|
Ano de publicação: |
2016 |
|
Fonte/Imprenta: |
In: PLANT AND ANIMAL GENOME CONFERENCE, 24., 2016, San Diego. Anais... San Diego: PAG, 2016. |
|
Idioma: |
Inglês |
|
Palavras-Chave: |
Nelore. |
|
Thesagro: |
Gado de Corte; Gado nelore. |
|
Thesaurus NAL: |
Nellore. |
|
Categoria do assunto: |
G Melhoramento Genético |
|
URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/150557/1/Expression-Quantitative-Trait-Loci-eQTL-Hotspot-Regions-from-Whole-Genome-Analysis-of-Nellore-Steers.pdf
|
|
Marc: |
LEADER 00852nam a2200277 a 4500
001 2057056
005 2016-11-24
008 2016 bl uuuu u00u1 u #d
100 1 $aCESAR, A. S. M.
245 $aExpression quantitative trait loci (eQTL) hotspot regions from whole genome analysis of Nellore steers.$h[electronic resource]
260 $aIn: PLANT AND ANIMAL GENOME CONFERENCE, 24., 2016, San Diego. Anais... San Diego: PAG$c2016
650 $aNellore
650 $aGado de Corte
650 $aGado nelore
653 $aNelore
700 1 $aREGITANO, L. C. de A.
700 1 $aLANNA, D. P. D.
700 1 $aPOLETI, M. D.
700 1 $aKOLTES, J. E.
700 1 $aREECY, J. M.
700 1 $aFRITZ-WATERS, E.
700 1 $aKRAMER, L.
700 1 $aGARRICK, D.
700 1 $aMUDADU, M. de A.
700 1 $aTULLIO, R. R.
700 1 $aCOUTINHO, L. L.
Download
Esconder MarcMostrar Marc Completo |
|
Registro original: |
Embrapa Pecuária Sudeste (CPPSE) |
|
|
Biblioteca |
ID |
Origem |
Tipo/Formato |
Classificação |
Cutter |
Registro |
Volume |
Status |
Fechar
|
| Expressão de busca inválida. Verifique!!! |
|
|
