| |
|
|
| Registros recuperados : 29 | |
| 21. |  | CECHIN, J.; PIASECKI, C.; BENEMANN, D. P.; KREMER, F. S.; GALLI, V.; MAIA, L. C.; AGOSTINETTO, D.; VARGAS, L. Transcriptome analysis identifies candidate target genes involved in glyphosate-resistance mechanism in lolium multiflorum. Plants, v. 9, p. 685, 2020.| Biblioteca(s): Embrapa Trigo. |
|    |
| 22. | | SIMIONATTO, S.; MARCHIORO, S. B.; GALLI, V.; BRUM, B. C.; KLEIN, C. S.; REBELATTO, R.; SILVA, E. F.; BORSUK, S.; CONCEOÇÃO, F. R.; DELLAGOSTIN, O. A. Immunological characterization of Mycoplasma hyopneumoniae recombinant proteins. Comparative Immunology, Microbiology and Infectious Diseases, v. 35, n. 2, p. 209-216, 2012. Projeto: 03.09.00.046.| Biblioteca(s): Embrapa Suínos e Aves. |
|  |
| 23. | | GALLI, V.; SOUZA, E. R. de; CAMPOS, A. D. S. de; KLASEN, F.; SILVA, S. D. dos A. e; MESSIAS, R. da S. Influência da aplicação de bioestimulantes na fitomassa e produtividade de cana-de-açúcar. In: SIMPÓSIO ESTADUAL DE AGROENERGIA, 4.; REUNIÃO TÉCNICA DE AGROENERGIA, 4., 2012, AMRIGS: Porto Alegre. Anais... Pelotas: Embrapa Clima Temperado, 2012. Organizado por Sérgio Delmar dos Anjos e Silva Ivan Rodrigues de Almeida.| Biblioteca(s): Embrapa Clima Temperado. |
| |
| 24. | | PERIN, E. C.; MESSIAS, R. da S.; GALLI, V.; BOROWSKI, J. M.; SOUZA, E. R. de; AVILA, L. O. de; BAMBERG, A. L.; ROMBALDI, C. V. Mineral content and antioxidant compounds in strawberry fruit submitted to drough stress. Food Science and Technology, v. 39, Suppl. 1, p. 245-254, June 2019.| Biblioteca(s): Embrapa Clima Temperado. |
| |
| 25. | | MESSIAS, R. S.; GALLI, V.; SILVEIRA, C. A. P.; SILVA, S. D. dos A. e; ROMBALDI, C. V.; SCHIRMER, M. A. Shale water as a natural biostimulant to improve quality of maize grains. In: CONGRESSO BRASILEIRO DE FISIOLOGIA VEGETAL, 13; REUNIÃO LATINO-AMERICANA DE FISIOLOGIA VEGETAL MUDANÇAS CLIMÁTICAS GLOBAIS: DO GENE À PLANTA, 14., Búzios. Livro de resumos. Brazilian Journal of Plant Physiology, Londrina, v. 1, p. 310, 2011.| Biblioteca(s): Embrapa Clima Temperado. |
| |
| 27. | | PIASECKI, C.; YANG, Y.; BENEMANN, D. P.; KREMER, F. S.; GALLI, V.; MILLWOOD, R. J.; CECHIN, J.; AGOSTINETTO, D.; MAIA, L. C.; VARGAS, L.; STEWART JR, C. N. Transcriptomic analysis identifies new non-target site glyphosate-resistance genes in Conyza bonariensis. Plants, n. 8, n. 6, 157, June 2019.| Biblioteca(s): Embrapa Trigo. |
| |
| 28. | | PAGLIARINI, R. L.; MARCHIORO, S. B.; SIMIONATTO, S.; BRUM, C. B.; GALLI, V.; KLEIN, C. S.; REBELATTO, R.; DELLAGOSTIN, O. A. Utilização de proteínas transmembrana de Mycoplasma hyopneumoniae para sorodiagnóstico da pneumonia enzoótica suína. In: CONGRESSO BRASILEIRO DE MEDICINA VETERINÁRIA, 35., 2008, Gramado. Anais. Gramado: SMVZ, 2008. 5 p. Projeto/Plano de Ação: 03.07.51.700-03. Acesso em: 28 out. 2008.| Biblioteca(s): Embrapa Suínos e Aves. |
|  |
| 29. | | MESSIAS, R. da S.; GALLI, V.; SCHIRMER, M. A.; PILLON, C. N.; SILVA, S. D. dos A. e; SILVEIRA, C. A. P.; ROMBALDI, C. V. Yield and quality of maize following the foliar application of a fertilizer based on the byproduct "shale water". Agricultural Sciences, v. 4, p. 56-65, 2013.| Biblioteca(s): Embrapa Clima Temperado. |
| |
| Registros recuperados : 29 | |
|
|
|
 | 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 |
|
Circulação/Nível: |
A - 2 |
|
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 |
Fechar
|
| Nenhum registro encontrado para a expressão de busca informada. |
|
|
