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Registro Completo |
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Biblioteca(s): |
Embrapa Pecuária Sudeste. |
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Data corrente: |
14/01/2016 |
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Data da última atualização: |
16/03/2023 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Autoria: |
PINTO, L. da S.; SOUZA, F. H. D. de; NASCIMENTO, I. R.; LOPES, L. M. X. |
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Afiliação: |
LUCIANO DA SILVA PINTO, INSTITUTE OF CHEMISTRY - UNESP/ARARAQUARA; FRANCISCO HUMBERTO DUBBERN DE SOUZA, CPPSE; ISABELE RODRIGUES NASCIMENTO, INSTITUTE OF CHEMISTRY - UNESP/ARARAQUARA; LUCIA MARIA XAVIER LOPES, INSTITUTE OF CHEMISTRY - UNESP/ARARAQUARA. |
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Título: |
Phenylpropanoids from Paspalum atratum (Poaceae). |
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Ano de publicação: |
2015 |
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Fonte/Imprenta: |
Biochemical Systematics and Ecology, v. 63, p. 68-71, 2015. |
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DOI: |
10.1016/j.bse.2015.09.027 |
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Idioma: |
Inglês |
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Conteúdo: |
Paspalum L. (Poaceae) is a genus of grasses comprising ca. 400 species distributed mainly in tropical to warm-temperate areas worldwide, of which nearly 220 species occur naturally in Brazil. Paspalum is recognized for its ecological and agronomic importance, derived from its forage and ornamental attributes and constitutes a taxonomically complex group of plants (Cidade et al., 2010, 2013). |
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Palavras-Chave: |
Chlorogenic; Paspalum Atratum. |
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Thesaurus Nal: |
Poaceae; rosmarinic acid. |
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Categoria do assunto: |
F Plantas e Produtos de Origem Vegetal |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/136975/1/PROCI-2015.00128.pdf
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Marc: |
LEADER 01016naa a2200217 a 4500
001 2033825
005 2023-03-16
008 2015 bl uuuu u00u1 u #d
024 7 $a10.1016/j.bse.2015.09.027$2DOI
100 1 $aPINTO, L. da S.
245 $aPhenylpropanoids from Paspalum atratum (Poaceae).$h[electronic resource]
260 $c2015
520 $aPaspalum L. (Poaceae) is a genus of grasses comprising ca. 400 species distributed mainly in tropical to warm-temperate areas worldwide, of which nearly 220 species occur naturally in Brazil. Paspalum is recognized for its ecological and agronomic importance, derived from its forage and ornamental attributes and constitutes a taxonomically complex group of plants (Cidade et al., 2010, 2013).
650 $aPoaceae
650 $arosmarinic acid
653 $aChlorogenic
653 $aPaspalum Atratum
700 1 $aSOUZA, F. H. D. de
700 1 $aNASCIMENTO, I. R.
700 1 $aLOPES, L. M. X.
773 $tBiochemical Systematics and Ecology$gv. 63, p. 68-71, 2015.
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Registro original: |
Embrapa Pecuária Sudeste (CPPSE) |
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Biblioteca(s): |
Embrapa Pecuária Sul. |
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Data corrente: |
07/12/2020 |
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Data da última atualização: |
07/12/2020 |
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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: |
JUNQUEIRA, V. S.; LOPES, P. S.; LOURENCO, D.; SILVA, F. F. e; CARDOSO, F. F. |
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Afiliação: |
Vinícius Silva Junqueira, UFV; Paulo Sávio Lopes, UFV; Daniela Lourenco, University of Georgia; Fabyano Fonseca e Silva, UFV; FERNANDO FLORES CARDOSO, CPPSUL. |
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Título: |
Applying the metafounders approach for genomic evaluation in a multibreed beef cattle population. |
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Ano de publicação: |
2020 |
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Fonte/Imprenta: |
Frontiers in Genetics, v. 11, 556399, Dec. 2020. |
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Idioma: |
Inglês |
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Notas: |
Article 556399. |
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Conteúdo: |
Pedigree information is incomplete by nature and commonly not well-established because many of the genetic ties are not known a priori or can be wrong. The genomic era brought new opportunities to assess relationships between individuals. However, when pedigree and genomic information are used simultaneously, which is the case of single-step genomic BLUP (ssGBLUP), defining the genetic base is still a challenge. One alternative to overcome this challenge is to use metafounders, which are pseudo-individuals that describe the genetic relationship between the base population individuals. The purpose of this study was to evaluate the impact of metafounders on the estimation of breeding values for tick resistance under ssGBLUP for a multibreed population composed by Hereford, Braford, and Zebu animals. Three different scenarios were studied: pedigree-based model (BLUP), ssGBLUP, and ssGBLUP with metafounders (ssGBLUPm). In ssGBLUPm, a total of four different metafounders based on breed of origin (i.e., Hereford, Braford, Zebu, and unknown) were included for the animals with missing parents. The relationship coefficient between metafounders was in average 0.54 (ranging from 0.34 to 0.96) suggesting an overlap between ancestor populations. The estimates of metafounder relationships indicate that Hereford and Zebu breeds have a possible common ancestral relationship. Inbreeding coefficients calculated following the metafounder approach had less negative values, suggesting that ancestral populations were large enough and that gametes inherited from the historical population were not identical. Variance components were estimated based on ssGBLUPm, ssGBLUP, and BLUP, but the values from ssGBLUPm were scaled to provide a fair comparison with estimates from the other two models. In general, additive, residual, and phenotypic variance components in the Hereford population were smaller than in Braford across different models. The addition of genomic information increased heritability for Hereford, possibly because of improved genetic relationships. As expected, genomic models had greater predictive ability, with an additional gain for ssGBLUPm over ssGBLUP. The increase in predictive ability was greater for Herefords. Our results show the potential of using metafounders to increase accuracy of GEBV, and therefore, the rate of genetic gain in beef cattle populations with partial levels of missing pedigree information. Keywords: unknown parent group, founder, genomic selection, missing pedigree, breeding values MenosPedigree information is incomplete by nature and commonly not well-established because many of the genetic ties are not known a priori or can be wrong. The genomic era brought new opportunities to assess relationships between individuals. However, when pedigree and genomic information are used simultaneously, which is the case of single-step genomic BLUP (ssGBLUP), defining the genetic base is still a challenge. One alternative to overcome this challenge is to use metafounders, which are pseudo-individuals that describe the genetic relationship between the base population individuals. The purpose of this study was to evaluate the impact of metafounders on the estimation of breeding values for tick resistance under ssGBLUP for a multibreed population composed by Hereford, Braford, and Zebu animals. Three different scenarios were studied: pedigree-based model (BLUP), ssGBLUP, and ssGBLUP with metafounders (ssGBLUPm). In ssGBLUPm, a total of four different metafounders based on breed of origin (i.e., Hereford, Braford, Zebu, and unknown) were included for the animals with missing parents. The relationship coefficient between metafounders was in average 0.54 (ranging from 0.34 to 0.96) suggesting an overlap between ancestor populations. The estimates of metafounder relationships indicate that Hereford and Zebu breeds have a possible common ancestral relationship. Inbreeding coefficients calculated following the metafounder approach had less negative values, suggesting that ances... Mostrar Tudo |
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Thesagro: |
Bovino; Seleção Genótipa. |
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Categoria do assunto: |
-- |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/218811/1/fgene.pdf
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Marc: |
LEADER 03145naa a2200205 a 4500
001 2127712
005 2020-12-07
008 2020 bl uuuu u00u1 u #d
100 1 $aJUNQUEIRA, V. S.
245 $aApplying the metafounders approach for genomic evaluation in a multibreed beef cattle population.$h[electronic resource]
260 $c2020
500 $aArticle 556399.
520 $aPedigree information is incomplete by nature and commonly not well-established because many of the genetic ties are not known a priori or can be wrong. The genomic era brought new opportunities to assess relationships between individuals. However, when pedigree and genomic information are used simultaneously, which is the case of single-step genomic BLUP (ssGBLUP), defining the genetic base is still a challenge. One alternative to overcome this challenge is to use metafounders, which are pseudo-individuals that describe the genetic relationship between the base population individuals. The purpose of this study was to evaluate the impact of metafounders on the estimation of breeding values for tick resistance under ssGBLUP for a multibreed population composed by Hereford, Braford, and Zebu animals. Three different scenarios were studied: pedigree-based model (BLUP), ssGBLUP, and ssGBLUP with metafounders (ssGBLUPm). In ssGBLUPm, a total of four different metafounders based on breed of origin (i.e., Hereford, Braford, Zebu, and unknown) were included for the animals with missing parents. The relationship coefficient between metafounders was in average 0.54 (ranging from 0.34 to 0.96) suggesting an overlap between ancestor populations. The estimates of metafounder relationships indicate that Hereford and Zebu breeds have a possible common ancestral relationship. Inbreeding coefficients calculated following the metafounder approach had less negative values, suggesting that ancestral populations were large enough and that gametes inherited from the historical population were not identical. Variance components were estimated based on ssGBLUPm, ssGBLUP, and BLUP, but the values from ssGBLUPm were scaled to provide a fair comparison with estimates from the other two models. In general, additive, residual, and phenotypic variance components in the Hereford population were smaller than in Braford across different models. The addition of genomic information increased heritability for Hereford, possibly because of improved genetic relationships. As expected, genomic models had greater predictive ability, with an additional gain for ssGBLUPm over ssGBLUP. The increase in predictive ability was greater for Herefords. Our results show the potential of using metafounders to increase accuracy of GEBV, and therefore, the rate of genetic gain in beef cattle populations with partial levels of missing pedigree information. Keywords: unknown parent group, founder, genomic selection, missing pedigree, breeding values
650 $aBovino
650 $aSeleção Genótipa
700 1 $aLOPES, P. S.
700 1 $aLOURENCO, D.
700 1 $aSILVA, F. F. e
700 1 $aCARDOSO, F. F.
773 $tFrontiers in Genetics$gv. 11, 556399, Dec. 2020.
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