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| Registros recuperados : 8 | |
| 1. |  | BATISTA, M. F.; SANTOS, G. A. N. dos; ROCHA, T. L. P. da; MAJOLO, C.; BOIJINK, C. de L.; DAIRIKI, J. K. Atividade anti-helmíntica de closantel + albendazol sobre acantocéfalos de tambaqui - ensaio in vitro. In: JORNADA DE INICIAÇÃO CIENTÍFICA DA EMBRAPA AMAZÔNIA OCIDENTAL, 16., 2019, Manaus. Anais... Brasília, DF: Embrapa, 2020. p. 89-97.| Biblioteca(s): Embrapa Amazônia Ocidental. |
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| 2. | | GONÇALVES, G. S.; CARVALHO, J. E. B. de; GARCIA, M. V. B.; SANTOS, A. F. dos; SANTOS, G. A. N. dos; SILVA, J. F. da. Biomass production and mineral nutrient accumulation by weeds and sweet orange trees in the Amazonian. Journal of Agricultural Science, v. 11, n. 4, p. 419-427, 2019.| Biblioteca(s): Embrapa Amazônia Ocidental; Embrapa Mandioca e Fruticultura. |
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| 3. | | SANTOS, G. A. N. dos; PINTO, K. G. D.; GOMEZ, D. R.; CARVALHO, J. E. B. de; SILVA, J. F. da; TELES, B. R.; DAMASCENO, L. A. Biomonitoramento de insetos praga e inimigos naturais em pomar de citros com coberturas vegetais In: SIMPÓSIO NACIONAL SOBRE PLANTAS DANINHAS EM SISTEMAS DE PRODUÇÃO TROPICAL, 1.; SIMPÓSIO INTERNACIONAL AMAZÔNICO SOBRE PLANTAS DANINHAS, 4., 2015, Sinop. Anais... Sinop: Embrapa Agrossilvipastoril, 2015. 2f.| Biblioteca(s): Embrapa Mandioca e Fruticultura. |
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| 4. | | SANTOS, L. P.; SCHIMPL, F. C.; SILVA, E. de B.; SANTOS, G. A. N. dos; SILVA, J. F. da. Influências de cultivares e sistemas de produção sobre teores de nutrientes, proteína, metilxantinas e taninos em folhas de guaranazeiro e potencial para a indústria. In: SANTOS, G. de O. (Org.). Alimento, nutrição e saúde 4. Ponta Grossa, PR: Atena, 2020. 52-68.| Biblioteca(s): Embrapa Amazônia Ocidental. |
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| 7. | | SANTOS, L. P.; SCHIMPL, F. C.; SANTOS, G. A. N. dos; SILVA, E. de B.; SILVA, J. F. da. Teores de metilxantinas e taninos em folhas novas de cultivares de guaranazeiro sob diferentes sistemas de produção. In: ENCONTRO BRASILEIRO DE ECOLOGIA QUÍMICA, 11, 2019. Caderno Verde de Agroecologia e Desenvolvimento Sustentável, v. 9, n. 5, b-03, 2019.| Biblioteca(s): Embrapa Amazônia Ocidental. |
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| Registros recuperados : 8 | |
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Registro Completo
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Biblioteca(s): |
Embrapa Gado de Leite. |
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Data corrente: |
28/11/2018 |
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Data da última atualização: |
24/01/2023 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Circulação/Nível: |
A - 1 |
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Autoria: |
PERIPOLLI, E.; STAFUZZA, N. B.; MUNARI, D. P.; LIMA, A. L. F.; IRGANG, R.; MACHADO, M. A.; PANETTO, J. C. do C.; VENTURA, R. V.; BALDI, F.; SILVA, M. V. G. B. |
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Afiliação: |
ELISA PERIPOLLI, UNESP; NEDENIA BONVINO STAFUZZA, UNESP; DANÍSIO PRADO MUNARI, UNESP / CNPQ; ANDRÉ LUÍS FERREIRA LIMA, UFSC; RENATO IRGANG, UFSC; MARCO ANTONIO MACHADO, CNPGL; JOAO CLAUDIO DO CARMO PANETTO, CNPGL; RICARDO VIEIRA VENTURA, USP / Beef Improvement Opportunities, Canada / University of Guelph, Canada; FERNANDO BALDI, UNESP; MARCOS VINICIUS GUALBERTO B SILVA, CNPGL. |
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Título: |
Assessment of runs of homozygosity islands and estimates of genomic inbreeding in Gyr (Bos indicus) dairy cattle. |
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Ano de publicação: |
2018 |
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Fonte/Imprenta: |
BMC Genomics, v. 19, n. 34, 2018. |
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Páginas: |
13 p. |
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DOI: |
10.1186/s12864-017-4365-3 |
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Idioma: |
Inglês |
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Conteúdo: |
Abstract BACKGROUND: Runs of homozygosity (ROH) are continuous homozygous segments of the DNA sequence. They have been applied to quantify individual autozygosity and used as a potential inbreeding measure in livestock species. The aim of the present study was (i) to investigate genome-wide autozygosity to identify and characterize ROH patterns in Gyr dairy cattle genome; (ii) identify ROH islands for gene content and enrichment in segments shared by more than 50% of the samples, and (iii) compare estimates of molecular inbreeding calculated from ROH (FROH), genomic relationship matrix approach (FGRM) and based on the observed versus expected number of homozygous genotypes (FHOM), and from pedigree-based coefficient (FPED). RESULTS: ROH were identified in all animals, with an average number of 55.12 ± 10.37 segments and a mean length of 3.17 Mb. Short segments (ROH1-2 Mb) were abundant through the genomes, which accounted for 60% of all segments identified, even though the proportion of the genome covered by them was relatively small. The findings obtained in this study suggest that on average 7.01% (175.28 Mb) of the genome of this population is autozygous. Overlapping ROH were evident across the genomes and 14 regions were identified with ROH frequencies exceeding 50% of the whole population. Genes associated with lactation (TRAPPC9), milk yield and composition (IRS2 and ANG), and heat adaptation (HSF1, HSPB1, and HSPE1), were identified. Inbreeding coefficients were estimated through the application of FROH, FGRM, FHOM, and FPED approaches. FPED estimates ranged from 0.00 to 0.327 and FROH from 0.001 to 0.201. Low to moderate correlations were observed between FPED-FROH and FGRM-FROH, with values ranging from -0.11 to 0.51. Low to high correlations were observed between FROH-FHOM and moderate between FPED-FHOM and FGRM-FHOM. Correlations between FROH from different lengths and FPED gradually increased with ROH length. CONCLUSIONS: Genes inside ROH islands suggest a strong selection for dairy traits and enrichment for Gyr cattle environmental adaptation. Furthermore, low FPED-FROH correlations for small segments indicate that FPED estimates are not the most suitable method to capture ancient inbreeding. The existence of a moderate correlation between larger ROH indicates that FROH can be used as an alternative to inbreeding estimates in the absence of pedigree records. MenosAbstract BACKGROUND: Runs of homozygosity (ROH) are continuous homozygous segments of the DNA sequence. They have been applied to quantify individual autozygosity and used as a potential inbreeding measure in livestock species. The aim of the present study was (i) to investigate genome-wide autozygosity to identify and characterize ROH patterns in Gyr dairy cattle genome; (ii) identify ROH islands for gene content and enrichment in segments shared by more than 50% of the samples, and (iii) compare estimates of molecular inbreeding calculated from ROH (FROH), genomic relationship matrix approach (FGRM) and based on the observed versus expected number of homozygous genotypes (FHOM), and from pedigree-based coefficient (FPED). RESULTS: ROH were identified in all animals, with an average number of 55.12 ± 10.37 segments and a mean length of 3.17 Mb. Short segments (ROH1-2 Mb) were abundant through the genomes, which accounted for 60% of all segments identified, even though the proportion of the genome covered by them was relatively small. The findings obtained in this study suggest that on average 7.01% (175.28 Mb) of the genome of this population is autozygous. Overlapping ROH were evident across the genomes and 14 regions were identified with ROH frequencies exceeding 50% of the whole population. Genes associated with lactation (TRAPPC9), milk yield and composition (IRS2 and ANG), and heat adaptation (HSF1, HSPB1, and HSPE1), were identified. Inbreeding coefficient... Mostrar Tudo |
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Palavras-Chave: |
Dairy traits; Inbreeding coefficients; ROH islands. |
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Thesagro: |
Bos Indicus. |
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Categoria do assunto: |
L Ciência Animal e Produtos de Origem Animal |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/187250/1/Cnpgl-2018-BMC-Gen-Machado-Assessment.pdf
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Marc: |
LEADER 03293naa a2200301 a 4500
001 2100275
005 2023-01-24
008 2018 bl uuuu u00u1 u #d
024 7 $a10.1186/s12864-017-4365-3$2DOI
100 1 $aPERIPOLLI, E.
245 $aAssessment of runs of homozygosity islands and estimates of genomic inbreeding in Gyr (Bos indicus) dairy cattle.$h[electronic resource]
260 $c2018
300 $a13 p.
520 $aAbstract BACKGROUND: Runs of homozygosity (ROH) are continuous homozygous segments of the DNA sequence. They have been applied to quantify individual autozygosity and used as a potential inbreeding measure in livestock species. The aim of the present study was (i) to investigate genome-wide autozygosity to identify and characterize ROH patterns in Gyr dairy cattle genome; (ii) identify ROH islands for gene content and enrichment in segments shared by more than 50% of the samples, and (iii) compare estimates of molecular inbreeding calculated from ROH (FROH), genomic relationship matrix approach (FGRM) and based on the observed versus expected number of homozygous genotypes (FHOM), and from pedigree-based coefficient (FPED). RESULTS: ROH were identified in all animals, with an average number of 55.12 ± 10.37 segments and a mean length of 3.17 Mb. Short segments (ROH1-2 Mb) were abundant through the genomes, which accounted for 60% of all segments identified, even though the proportion of the genome covered by them was relatively small. The findings obtained in this study suggest that on average 7.01% (175.28 Mb) of the genome of this population is autozygous. Overlapping ROH were evident across the genomes and 14 regions were identified with ROH frequencies exceeding 50% of the whole population. Genes associated with lactation (TRAPPC9), milk yield and composition (IRS2 and ANG), and heat adaptation (HSF1, HSPB1, and HSPE1), were identified. Inbreeding coefficients were estimated through the application of FROH, FGRM, FHOM, and FPED approaches. FPED estimates ranged from 0.00 to 0.327 and FROH from 0.001 to 0.201. Low to moderate correlations were observed between FPED-FROH and FGRM-FROH, with values ranging from -0.11 to 0.51. Low to high correlations were observed between FROH-FHOM and moderate between FPED-FHOM and FGRM-FHOM. Correlations between FROH from different lengths and FPED gradually increased with ROH length. CONCLUSIONS: Genes inside ROH islands suggest a strong selection for dairy traits and enrichment for Gyr cattle environmental adaptation. Furthermore, low FPED-FROH correlations for small segments indicate that FPED estimates are not the most suitable method to capture ancient inbreeding. The existence of a moderate correlation between larger ROH indicates that FROH can be used as an alternative to inbreeding estimates in the absence of pedigree records.
650 $aBos Indicus
653 $aDairy traits
653 $aInbreeding coefficients
653 $aROH islands
700 1 $aSTAFUZZA, N. B.
700 1 $aMUNARI, D. P.
700 1 $aLIMA, A. L. F.
700 1 $aIRGANG, R.
700 1 $aMACHADO, M. A.
700 1 $aPANETTO, J. C. do C.
700 1 $aVENTURA, R. V.
700 1 $aBALDI, F.
700 1 $aSILVA, M. V. G. B.
773 $tBMC Genomics$gv. 19, n. 34, 2018.
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Embrapa Gado de Leite (CNPGL) |
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