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Registro Completo |
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Biblioteca(s): |
Embrapa Gado de Leite. |
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Data corrente: |
04/06/2014 |
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Data da última atualização: |
06/02/2024 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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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. |
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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. |
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Título: |
Accuracy of genomic predictions in Bos indicus (Nellore) cattle. |
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Ano de publicação: |
2014 |
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Fonte/Imprenta: |
Genetics Selection Evolution, v. 46, article 17, 2014. |
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DOI: |
https://doi.org/10.1186/1297-9686-46-17 |
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Idioma: |
Inglês |
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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 |
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Palavras-Chave: |
Genomic selection; Nellore cattle. |
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Categoria do assunto: |
G Melhoramento Genético |
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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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Registro original: |
Embrapa Gado de Leite (CNPGL) |
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Biblioteca |
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Registro |
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Registro Completo
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Biblioteca(s): |
Embrapa Amazônia Ocidental. |
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Data corrente: |
05/12/2000 |
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Data da última atualização: |
17/06/2015 |
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Tipo da produção científica: |
Resumo em Anais de Congresso |
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Autoria: |
RENCK, A.; LEHMANN, J.; TEIXEIRA, W.; HUWE, B.; ZECH, W. |
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Afiliação: |
University of Bayreuth; Embrapa Amazonia Ocidental. |
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Título: |
Soil nutrient leaching in mixed tree cropping systems in the central Amazon. |
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Ano de publicação: |
2000 |
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Fonte/Imprenta: |
In: GERMAN-BRAZILIAN WORKSHOP ON NEOTROPICAL ECOSYSTEMS, 2000, Hamburg. Program and abstracts... Hamburg: University, 2000. |
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Páginas: |
p. 181. |
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Idioma: |
Inglês |
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Conteúdo: |
Studies on the leaching losses of applied 15N tagged fertilizer during one rainy season, in the central Amazonia (Manaus-AM, Brasil). TDR, tensiometers and suction cups were installed under cupuacu, pupunha (peach palm), castanha-do-Para (Brazil nut) and urucu (annatto) in a mult-strata agroforestry system. The trees affected leaching losses of applied N to a different extend, and pupunha and urucu were better able to do so than the other investigated species. However, losses of applied fertilizer N can not entirely be prevented considering the extremely rapid soil water percolation under the studied humid tropical conditions and the highly permeable soil. |
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Palavras-Chave: |
Amazonas; Brasil; Cover plants; Manaus; Plant water relations; Theobrama grandiflorum; Urucu. |
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Thesagro: |
Água do Solo; Bactris Gasipaes; Bertholletia Excelsa; Bixa Orellana; Castanha do Para; Cobertura do Solo; Conservação do Solo; Cupuaçu; Física do Solo; Floresta Tropical Úmida; Leguminosa; Lixiviação; Nitrogênio; Nutriente; Pueraria Phaseoloides; Pupunha; Relação Água-Planta; Tensiômetro. |
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Thesaurus NAL: |
leaching; legumes; nutrients; soil conservation; soil fertility; soil water; tropical rain forests. |
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Categoria do assunto: |
-- |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/125532/1/p.-181.pdf
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Marc: |
LEADER 02169nam a2200553 a 4500
001 1670041
005 2015-06-17
008 2000 bl uuuu u00u1 u #d
100 1 $aRENCK, A.
245 $aSoil nutrient leaching in mixed tree cropping systems in the central Amazon.
260 $aIn: GERMAN-BRAZILIAN WORKSHOP ON NEOTROPICAL ECOSYSTEMS, 2000, Hamburg. Program and abstracts... Hamburg: University$c2000
300 $ap. 181.
520 $aStudies on the leaching losses of applied 15N tagged fertilizer during one rainy season, in the central Amazonia (Manaus-AM, Brasil). TDR, tensiometers and suction cups were installed under cupuacu, pupunha (peach palm), castanha-do-Para (Brazil nut) and urucu (annatto) in a mult-strata agroforestry system. The trees affected leaching losses of applied N to a different extend, and pupunha and urucu were better able to do so than the other investigated species. However, losses of applied fertilizer N can not entirely be prevented considering the extremely rapid soil water percolation under the studied humid tropical conditions and the highly permeable soil.
650 $aleaching
650 $alegumes
650 $anutrients
650 $asoil conservation
650 $asoil fertility
650 $asoil water
650 $atropical rain forests
650 $aÁgua do Solo
650 $aBactris Gasipaes
650 $aBertholletia Excelsa
650 $aBixa Orellana
650 $aCastanha do Para
650 $aCobertura do Solo
650 $aConservação do Solo
650 $aCupuaçu
650 $aFísica do Solo
650 $aFloresta Tropical Úmida
650 $aLeguminosa
650 $aLixiviação
650 $aNitrogênio
650 $aNutriente
650 $aPueraria Phaseoloides
650 $aPupunha
650 $aRelação Água-Planta
650 $aTensiômetro
653 $aAmazonas
653 $aBrasil
653 $aCover plants
653 $aManaus
653 $aPlant water relations
653 $aTheobrama grandiflorum
653 $aUrucu
700 1 $aLEHMANN, J.
700 1 $aTEIXEIRA, W.
700 1 $aHUWE, B.
700 1 $aZECH, W.
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Registro original: |
Embrapa Amazônia Ocidental (CPAA) |
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