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Registro Completo |
Biblioteca(s): |
Embrapa Gado de Leite. |
Data corrente: |
04/06/2014 |
Data da última atualização: |
06/02/2024 |
Tipo da produção científica: |
Artigo em Periódico Indexado |
Autoria: |
NEVES, H. H.; CARVALHEIRO, R.; O'BRIEN, A. M.; UTSUNOMIYA, Y. T.; CARMO, A. S. do; SCHENKEL, F. S.; SÖLKNER, J.; MCEWAN, J. C.; VAN TASSELL, C. P.; COLE, J. B.; SILVA, M. V. G. B.; QUEIROZ, S. A.; SONSTEGARD, T. S.; GARCIA, J. F. |
Afiliação: |
Haroldo HR Neves; Roberto Carvalheiro; Ana M Pérez O'Brien; Yuri T Utsunomiya; Adriana S. do Carmo; Flávio S Schenkel; Johann Sölkner; John C McEwan; Curtis P Van Tassell; John B Cole; MARCOS VINICIUS GUALBERTO B SILVA, CNPGL; Sandra A Queiroz; Tad S Sonstegard; José Fernando Garcia. |
Título: |
Accuracy of genomic predictions in Bos indicus (Nellore) cattle. |
Ano de publicação: |
2014 |
Fonte/Imprenta: |
Genetics Selection Evolution, v. 46, article 17, 2014. |
DOI: |
https://doi.org/10.1186/1297-9686-46-17 |
Idioma: |
Inglês |
Conteúdo: |
Background- Nellore cattle play an important role in beef production in tropical systems and there is great interest in determining if genomic selection can contribute to accelerate genetic improvement of production and fertility in this breed. We present the first results of the implementation of genomic prediction in a Bos indicus (Nellore) population. Methods - Influential bulls were genotyped with the Illumina Bovine HD chip in order to assess genomic predictive ability for weight and carcass traits, gestation length, scrotal circumference and two selection indices. 685 samples and 320 238 single nucleotide polymorphisms (SNPs) were used in the analyses. A forward-prediction scheme was adopted to predict the genomic breeding values (DGV). In the training step, the estimated breeding values (EBV) of bulls were deregressed (dEBV) and used as pseudo-phenotypes to estimate marker effects using four methods: genomic BLUP with or without a residual polygenic effect (GBLUP20 and GBLUP0, respectively), a mixture model (Bayes C) and Bayesian LASSO (BLASSO). Empirical accuracies of the resulting genomic predictions were assessed based on the correlation between DGV and dEBV for the testing group. Results - Accuracies of genomic predictions ranged from 0.17 (navel at weaning) to 0.74 (finishing precocity). Across traits, Bayesian regression models (Bayes C and BLASSO) were more accurate than GBLUP. The average empirical accuracies were 0.39 (GBLUP0), 0.40 (GBLUP20) and 0.44 (Bayes C and BLASSO). Bayes C and BLASSO tended to produce deflated predictions (i.e. slope of the regression of dEBV on DGV greater than 1). Further analyses suggested that higher-than-expected accuracies were observed for traits for which EBV means differed significantly between two breeding subgroups that were identified in a principal component analysis based on genomic relationships. Conclusions -Bayesian regression models are of interest for future applications of genomic selection in this population, but further improvements are needed to reduce deflation of their predictions. Recurrent updates of the training population would be required to enable accurate prediction of the genetic merit of young animals. The technical feasibility of applying genomic prediction in a Bos indicus (Nellore) population was demonstrated. Further research is needed to permit cost-effective selection decisions using genomic information. MenosBackground- Nellore cattle play an important role in beef production in tropical systems and there is great interest in determining if genomic selection can contribute to accelerate genetic improvement of production and fertility in this breed. We present the first results of the implementation of genomic prediction in a Bos indicus (Nellore) population. Methods - Influential bulls were genotyped with the Illumina Bovine HD chip in order to assess genomic predictive ability for weight and carcass traits, gestation length, scrotal circumference and two selection indices. 685 samples and 320 238 single nucleotide polymorphisms (SNPs) were used in the analyses. A forward-prediction scheme was adopted to predict the genomic breeding values (DGV). In the training step, the estimated breeding values (EBV) of bulls were deregressed (dEBV) and used as pseudo-phenotypes to estimate marker effects using four methods: genomic BLUP with or without a residual polygenic effect (GBLUP20 and GBLUP0, respectively), a mixture model (Bayes C) and Bayesian LASSO (BLASSO). Empirical accuracies of the resulting genomic predictions were assessed based on the correlation between DGV and dEBV for the testing group. Results - Accuracies of genomic predictions ranged from 0.17 (navel at weaning) to 0.74 (finishing precocity). Across traits, Bayesian regression models (Bayes C and BLASSO) were more accurate than GBLUP. The average empirical accuracies were 0.39 (GBLUP0), 0.40 (GBLUP20) and 0.44 (Bayes ... Mostrar Tudo |
Palavras-Chave: |
Genomic selection; Nellore cattle. |
Categoria do assunto: |
G Melhoramento Genético |
URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/116427/1/Cnpgl-2014-Genetics-Selection-Evolution-Accuracy-of-genomic.pdf
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Marc: |
LEADER 03329naa a2200313 a 4500 001 1987574 005 2024-02-06 008 2014 bl uuuu u00u1 u #d 024 7 $ahttps://doi.org/10.1186/1297-9686-46-17$2DOI 100 1 $aNEVES, H. H. 245 $aAccuracy of genomic predictions in Bos indicus (Nellore) cattle.$h[electronic resource] 260 $c2014 520 $aBackground- Nellore cattle play an important role in beef production in tropical systems and there is great interest in determining if genomic selection can contribute to accelerate genetic improvement of production and fertility in this breed. We present the first results of the implementation of genomic prediction in a Bos indicus (Nellore) population. Methods - Influential bulls were genotyped with the Illumina Bovine HD chip in order to assess genomic predictive ability for weight and carcass traits, gestation length, scrotal circumference and two selection indices. 685 samples and 320 238 single nucleotide polymorphisms (SNPs) were used in the analyses. A forward-prediction scheme was adopted to predict the genomic breeding values (DGV). In the training step, the estimated breeding values (EBV) of bulls were deregressed (dEBV) and used as pseudo-phenotypes to estimate marker effects using four methods: genomic BLUP with or without a residual polygenic effect (GBLUP20 and GBLUP0, respectively), a mixture model (Bayes C) and Bayesian LASSO (BLASSO). Empirical accuracies of the resulting genomic predictions were assessed based on the correlation between DGV and dEBV for the testing group. Results - Accuracies of genomic predictions ranged from 0.17 (navel at weaning) to 0.74 (finishing precocity). Across traits, Bayesian regression models (Bayes C and BLASSO) were more accurate than GBLUP. The average empirical accuracies were 0.39 (GBLUP0), 0.40 (GBLUP20) and 0.44 (Bayes C and BLASSO). Bayes C and BLASSO tended to produce deflated predictions (i.e. slope of the regression of dEBV on DGV greater than 1). Further analyses suggested that higher-than-expected accuracies were observed for traits for which EBV means differed significantly between two breeding subgroups that were identified in a principal component analysis based on genomic relationships. Conclusions -Bayesian regression models are of interest for future applications of genomic selection in this population, but further improvements are needed to reduce deflation of their predictions. Recurrent updates of the training population would be required to enable accurate prediction of the genetic merit of young animals. The technical feasibility of applying genomic prediction in a Bos indicus (Nellore) population was demonstrated. Further research is needed to permit cost-effective selection decisions using genomic information. 653 $aGenomic selection 653 $aNellore cattle 700 1 $aCARVALHEIRO, R. 700 1 $aO'BRIEN, A. M. 700 1 $aUTSUNOMIYA, Y. T. 700 1 $aCARMO, A. S. do 700 1 $aSCHENKEL, F. S. 700 1 $aSÖLKNER, J. 700 1 $aMCEWAN, J. C. 700 1 $aVAN TASSELL, C. P. 700 1 $aCOLE, J. B. 700 1 $aSILVA, M. V. G. B. 700 1 $aQUEIROZ, S. A. 700 1 $aSONSTEGARD, T. S. 700 1 $aGARCIA, J. F. 773 $tGenetics Selection Evolution$gv. 46, article 17, 2014.
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Embrapa Gado de Leite (CNPGL) |
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Registro Completo
Biblioteca(s): |
Embrapa Agroindústria Tropical; Embrapa Gado de Leite; Embrapa Instrumentação; Embrapa Pecuária Sudeste. |
Data corrente: |
25/01/2024 |
Data da última atualização: |
11/04/2024 |
Tipo da produção científica: |
Artigo em Periódico Indexado |
Circulação/Nível: |
A - 1 |
Autoria: |
ANHOLETO, L. A.; BRANCAGLION, G. A.; SANTOS, D. M. DOS; KAPRITCHKOFF, R. T. I.; CASTRO, K. N. de C.; CANUTO, K. M.; RODRIGUES, R. A. F.; CORREA, D. S.; CHAGAS, A. C. de S.; PASTRE, J. C. |
Afiliação: |
LUIS ADRIANO ANHOLETO; GUILHERME ANDRADE BRANCAGLION, UNIVERSIDADE DE CAMPINAS; DANILO MARTINS DOS SANTOS; RAFAELA TAMI IKEDA KAPRITCHKOFF, UNIVERSIDADE DE SÃO PAULO; KARINA NEOOB DE CARVALHO CASTRO, CNPGL; KIRLEY MARQUES CANUTO, CNPAT; RODNEY ALEXANDRE FERREIRA RODRIGUES, UNIVERSIDADE DE CAMPINAS; DANIEL SOUZA CORREA, CNPDIA; ANA CAROLINA DE SOUZA CHAGAS, CPPSE; JULIO CEZAR PASTRE, UNIVERSIDADE DE CAMPINAS. |
Título: |
Acaricidal activity of synthetic spilanthol derivative against ticks of medical and veterinary importance. |
Ano de publicação: |
2024 |
Fonte/Imprenta: |
Veterinary Parasitology, v. 327, Apr. 2024, 110137. |
Páginas: |
9 p. |
DOI: |
10.1016/j.vetpar.2024.110137 |
Idioma: |
Inglês |
Conteúdo: |
The ANESPSAT, a synthetic spilanthol derivative, and its nanoformulation were evaluated against Rhipicephalus microplus and Amblyomma sculptum ticks. ANESPSAT activity was compared with spilanthol and derivatives (ANESPE and others). The compound was synthesized in a gram-scale by a 2-step process, comprising a direct ester amidation and a Horner-Wadsworth- Emmons reaction. The nanoemulsions were produced by coarse homogenization followed by high-energy ultrasonication, in which hydrodynamic diameter, polydispersity index, and zeta potential remained stable. The spilanthol-eugenol hybrid derivatives did not show significant acaricidal activity. ANESPE killed 83% of the R. microplus larvae at 30 mg.mL−1, while ANESPSAT killed 97% at 0.5 mg.mL−1, showing to be the most active compound. Spilanthol and ANESPSAT had similar high mortality rates for tick larvae, with LC50 values of 0.10 and 0.14 mg.mL−1 for R. microplus larvae, and 0.04 and 0.48 mg.mL−1 for A. sculptum larvae, respectively. The efficacy of spilanthol was lower against R. microplus engorged females when compared with ANESPSAT, which was highly effective (>98%) against R. microplus engorged females. The nanoemulsion with ANESPSAT was effective against tick females, preventing egg laying and achieving 100% efficacy at 2.5 mg.mL−1. Spilanthol had only 59% efficacy at 10 mg.mL−1. The results suggest that ANESPSAT, a natural product derivative, could be used in novel formulations for tick management that might be safer and environmentally friendly. MenosThe ANESPSAT, a synthetic spilanthol derivative, and its nanoformulation were evaluated against Rhipicephalus microplus and Amblyomma sculptum ticks. ANESPSAT activity was compared with spilanthol and derivatives (ANESPE and others). The compound was synthesized in a gram-scale by a 2-step process, comprising a direct ester amidation and a Horner-Wadsworth- Emmons reaction. The nanoemulsions were produced by coarse homogenization followed by high-energy ultrasonication, in which hydrodynamic diameter, polydispersity index, and zeta potential remained stable. The spilanthol-eugenol hybrid derivatives did not show significant acaricidal activity. ANESPE killed 83% of the R. microplus larvae at 30 mg.mL−1, while ANESPSAT killed 97% at 0.5 mg.mL−1, showing to be the most active compound. Spilanthol and ANESPSAT had similar high mortality rates for tick larvae, with LC50 values of 0.10 and 0.14 mg.mL−1 for R. microplus larvae, and 0.04 and 0.48 mg.mL−1 for A. sculptum larvae, respectively. The efficacy of spilanthol was lower against R. microplus engorged females when compared with ANESPSAT, which was highly effective (>98%) against R. microplus engorged females. The nanoemulsion with ANESPSAT was effective against tick females, preventing egg laying and achieving 100% efficacy at 2.5 mg.mL−1. Spilanthol had only 59% efficacy at 10 mg.mL−1. The results suggest that ANESPSAT, a natural product derivative, could be used in novel formulations for tick management that might be safer ... Mostrar Tudo |
Palavras-Chave: |
Acmella oleracea; Bovine parasite sadness; Brazilian Spotted Fever; Cattle tick; Control; Nanoformulation; Spilanthol. |
Thesagro: |
Bovino; Carrapato. |
Thesaurus NAL: |
Rickettsia rickettsii. |
Categoria do assunto: |
H Saúde e Patologia |
Marc: |
LEADER 02636naa a2200373 a 4500 001 2161314 005 2024-04-11 008 2024 bl uuuu u00u1 u #d 024 7 $a10.1016/j.vetpar.2024.110137$2DOI 100 1 $aANHOLETO, L. A. 245 $aAcaricidal activity of synthetic spilanthol derivative against ticks of medical and veterinary importance.$h[electronic resource] 260 $c2024 300 $a9 p. 520 $aThe ANESPSAT, a synthetic spilanthol derivative, and its nanoformulation were evaluated against Rhipicephalus microplus and Amblyomma sculptum ticks. ANESPSAT activity was compared with spilanthol and derivatives (ANESPE and others). The compound was synthesized in a gram-scale by a 2-step process, comprising a direct ester amidation and a Horner-Wadsworth- Emmons reaction. The nanoemulsions were produced by coarse homogenization followed by high-energy ultrasonication, in which hydrodynamic diameter, polydispersity index, and zeta potential remained stable. The spilanthol-eugenol hybrid derivatives did not show significant acaricidal activity. ANESPE killed 83% of the R. microplus larvae at 30 mg.mL−1, while ANESPSAT killed 97% at 0.5 mg.mL−1, showing to be the most active compound. Spilanthol and ANESPSAT had similar high mortality rates for tick larvae, with LC50 values of 0.10 and 0.14 mg.mL−1 for R. microplus larvae, and 0.04 and 0.48 mg.mL−1 for A. sculptum larvae, respectively. The efficacy of spilanthol was lower against R. microplus engorged females when compared with ANESPSAT, which was highly effective (>98%) against R. microplus engorged females. The nanoemulsion with ANESPSAT was effective against tick females, preventing egg laying and achieving 100% efficacy at 2.5 mg.mL−1. Spilanthol had only 59% efficacy at 10 mg.mL−1. The results suggest that ANESPSAT, a natural product derivative, could be used in novel formulations for tick management that might be safer and environmentally friendly. 650 $aRickettsia rickettsii 650 $aBovino 650 $aCarrapato 653 $aAcmella oleracea 653 $aBovine parasite sadness 653 $aBrazilian Spotted Fever 653 $aCattle tick 653 $aControl 653 $aNanoformulation 653 $aSpilanthol 700 1 $aBRANCAGLION, G. A. 700 1 $aSANTOS, D. M. DOS 700 1 $aKAPRITCHKOFF, R. T. I. 700 1 $aCASTRO, K. N. de C. 700 1 $aCANUTO, K. M. 700 1 $aRODRIGUES, R. A. F. 700 1 $aCORREA, D. S. 700 1 $aCHAGAS, A. C. de S. 700 1 $aPASTRE, J. C. 773 $tVeterinary Parasitology$gv. 327, Apr. 2024, 110137.
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