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Registro Completo |
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Biblioteca(s): |
Embrapa Florestas. |
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Data corrente: |
26/07/2022 |
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Data da última atualização: |
26/07/2022 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Autoria: |
PRESTES, A. A.; HELM, C. V.; ESMERINO, E. A.; SILVA, R.; CRUZ, A. G. da; PRUDENCIO, E. S. |
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Afiliação: |
AMANDA A. PRESTES, Federal University of Santa Catarina; CRISTIANE VIEIRA HELM, CNPF; ERICK A. ESMERINO, Federal Institute of Rio de Janeiro; RAMON SILVA, Federal Institute of Rio de Janeiro; ADRIANO G. DA CRUZ, Federal Institute of Rio de Janeiro; ELANE S. PRUDENCIO, Federal University of Santa Catarina. |
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Título: |
Potential properties of guabiroba (Campomanesia xanthocarpa O. Berg) processing: a native brazilian fruit. |
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Ano de publicação: |
2022 |
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Fonte/Imprenta: |
Advances in Food Technology and Nutritional Sciences, v. 8, n. 1, p. 1-13, 2022. |
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Idioma: |
Português |
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Conteúdo: |
Guabiroba (Campomanesia xanthocarpa O. Berg) is a native Brazilian fruit with an important nutritional value and a great economic potential for processing. This fruit is a source of fibers, carbohydrates, potassium, and bioactive compounds, such as polyphenols, carotenoids, and Vitamin C. The phytochemicals of guabiroba are elucidated regarding their high antioxidant activity, which is related to human health benefits when introduced into a dietary routine. In addition, the antioxidant property of this native fruit can act as a natural preservative against oxidative and enzymatic reactions, and microbiological spoilage, extending the shelf-life of food. Thus, the addition of guabiroba in the development of new products, in addition to improving the functionality of the food, can reduce the use of chemical additives. Studies related to encouraging the use of guabiroba in food formulation, as well as the use of emerging technologies in the processing of this native fruit, become the basis of this review that aims to expand the knowledge of this Brazilian fruit and enhance its application in the food industry. |
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Palavras-Chave: |
Emerging technologies; Gavirova; Myrtaceae family; Technological approach. |
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Thesagro: |
Guabiroba. |
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Thesaurus Nal: |
Campomanesia xanthocarpa; New products. |
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Categoria do assunto: |
K Ciência Florestal e Produtos de Origem Vegetal |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/doc/1144943/1/AFTNS-2022-PotentialPropertiesGuabiroba.pdf
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Marc: |
LEADER 01939naa a2200265 a 4500
001 2144943
005 2022-07-26
008 2022 bl uuuu u00u1 u #d
100 1 $aPRESTES, A. A.
245 $aPotential properties of guabiroba (Campomanesia xanthocarpa O. Berg) processing$ba native brazilian fruit.$h[electronic resource]
260 $c2022
520 $aGuabiroba (Campomanesia xanthocarpa O. Berg) is a native Brazilian fruit with an important nutritional value and a great economic potential for processing. This fruit is a source of fibers, carbohydrates, potassium, and bioactive compounds, such as polyphenols, carotenoids, and Vitamin C. The phytochemicals of guabiroba are elucidated regarding their high antioxidant activity, which is related to human health benefits when introduced into a dietary routine. In addition, the antioxidant property of this native fruit can act as a natural preservative against oxidative and enzymatic reactions, and microbiological spoilage, extending the shelf-life of food. Thus, the addition of guabiroba in the development of new products, in addition to improving the functionality of the food, can reduce the use of chemical additives. Studies related to encouraging the use of guabiroba in food formulation, as well as the use of emerging technologies in the processing of this native fruit, become the basis of this review that aims to expand the knowledge of this Brazilian fruit and enhance its application in the food industry.
650 $aCampomanesia xanthocarpa
650 $aNew products
650 $aGuabiroba
653 $aEmerging technologies
653 $aGavirova
653 $aMyrtaceae family
653 $aTechnological approach
700 1 $aHELM, C. V.
700 1 $aESMERINO, E. A.
700 1 $aSILVA, R.
700 1 $aCRUZ, A. G. da
700 1 $aPRUDENCIO, E. S.
773 $tAdvances in Food Technology and Nutritional Sciences$gv. 8, n. 1, p. 1-13, 2022.
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Registro original: |
Embrapa Florestas (CNPF) |
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Registro Completo
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Biblioteca(s): |
Embrapa Suínos e Aves. |
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Data corrente: |
03/08/2021 |
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Data da última atualização: |
03/08/2021 |
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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: |
FERNANDES, A. C.; SILVA, V. H. da; GOES, C. P.; MOREIRA, G. C. M.; GODOY, T. F.; IBELLI, A. M. G.; PEIXOTO, J. de O.; CANTAO, M. E.; LEDUR, M. C.; REZENDE, F. M. de; COUTINHO, L. L. |
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Afiliação: |
ANNA CAROLINA FERNANDES, ESALQ; VINICIUS HENRIQUE DA SILVA, ESALQ; CAROLINA PURCELL GOES, ESALQ; GABRIEL COSTA MONTEIRO MOREIRA, University of Liège; THAIS FERNANDA GODOY, ESALQ; ADRIANA MERCIA GUARATINI IBELLI, CNPSA; JANE DE OLIVEIRA PEIXOTO, CNPSA; MAURICIO EGIDIO CANTAO, CNPSA; MONICA CORREA LEDUR, CNPSA; FERNANDA MARCONDES REZENDE, University of Florida; LUIZ LEHMANN COUTINHO, ESALQ. |
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Título: |
Genome-wide detection of CNVs and their association with performance traits in broilers. |
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Ano de publicação: |
2021 |
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Fonte/Imprenta: |
BMC Genomics, v. 22, n. 354, 2021. |
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DOI: |
https://doi.org/10.1186/s12864-021-07676-1 |
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Idioma: |
Inglês |
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Conteúdo: |
Abstract Background: Copy number variations (CNVs) are a major type of structural genomic variants that underlie genetic architecture and phenotypic variation of complex traits, not only in humans, but also in livestock animals. We identified CNVs along the chicken genome and analyzed their association with performance traits. Genome-wide CNVs were inferred from Affymetrix® high density SNP-chip data for a broiler population. CNVs were concatenated into segments and association analyses were performed with linear mixed models considering a genomic relationship matrix, for birth weight, body weight at 21, 35, 41 and 42 days, feed intake from 35 to 41 days, feed conversion ratio from 35 to 41 days and, body weight gain from 35 to 41 days of age. Results: We identified 23,214 autosomal CNVs, merged into 5042 distinct CNV regions (CNVRs), covering 12.84% of the chicken autosomal genome. One significant CNV segment was associated with BWG on GGA3 (q-value = 0.00443); one significant CNV segment was associated with BW35 (q-value = 0.00571), BW41 (q-value = 0.00180) and BW42 (q-value = 0.00130) on GGA3, and one significant CNV segment was associated with BW on GGA5 (q-value = 0.00432). All significant CNV segments were verified by qPCR, and a validation rate of 92.59% was observed. These CNV segments are located nearby genes, such as KCNJ11, MyoD1 and SOX6, known to underlie growth and development. Moreover, gene-set analyses revealed terms linked with muscle physiology, cellular processes regulation and potassium channels. Conclusions: Overall, this CNV-based GWAS study unravels potential candidate genes that may regulate performance traits in chickens. Our findings provide a foundation for future functional studies on the role of specific genes in regulating performance in chickens. Keywords: GWAS, Performance, CNVs, QTLs, qPCR MenosAbstract Background: Copy number variations (CNVs) are a major type of structural genomic variants that underlie genetic architecture and phenotypic variation of complex traits, not only in humans, but also in livestock animals. We identified CNVs along the chicken genome and analyzed their association with performance traits. Genome-wide CNVs were inferred from Affymetrix® high density SNP-chip data for a broiler population. CNVs were concatenated into segments and association analyses were performed with linear mixed models considering a genomic relationship matrix, for birth weight, body weight at 21, 35, 41 and 42 days, feed intake from 35 to 41 days, feed conversion ratio from 35 to 41 days and, body weight gain from 35 to 41 days of age. Results: We identified 23,214 autosomal CNVs, merged into 5042 distinct CNV regions (CNVRs), covering 12.84% of the chicken autosomal genome. One significant CNV segment was associated with BWG on GGA3 (q-value = 0.00443); one significant CNV segment was associated with BW35 (q-value = 0.00571), BW41 (q-value = 0.00180) and BW42 (q-value = 0.00130) on GGA3, and one significant CNV segment was associated with BW on GGA5 (q-value = 0.00432). All significant CNV segments were verified by qPCR, and a validation rate of 92.59% was observed. These CNV segments are located nearby genes, such as KCNJ11, MyoD1 and SOX6, known to underlie growth and development. Moreover, gene-set analyses revealed terms linked with muscle physiology, cellular p... Mostrar Tudo |
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Palavras-Chave: |
CNVs; Copy number variations; Desempenho zootécnico; GWAS; QPCR; QTLs. |
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Thesagro: |
Gallus Domesticus; Genética Animal; Performance. |
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Thesaurus NAL: |
Animal genetics; Animal performance; Gallus gallus; Genome-wide association study; Quantitative polymerase chain reaction; Quantitative trait loci. |
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Categoria do assunto: |
-- |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/224781/1/final9547.pdf
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Marc: |
LEADER 03101naa a2200433 a 4500
001 2133197
005 2021-08-03
008 2021 bl uuuu u00u1 u #d
024 7 $ahttps://doi.org/10.1186/s12864-021-07676-1$2DOI
100 1 $aFERNANDES, A. C.
245 $aGenome-wide detection of CNVs and their association with performance traits in broilers.$h[electronic resource]
260 $c2021
520 $aAbstract Background: Copy number variations (CNVs) are a major type of structural genomic variants that underlie genetic architecture and phenotypic variation of complex traits, not only in humans, but also in livestock animals. We identified CNVs along the chicken genome and analyzed their association with performance traits. Genome-wide CNVs were inferred from Affymetrix® high density SNP-chip data for a broiler population. CNVs were concatenated into segments and association analyses were performed with linear mixed models considering a genomic relationship matrix, for birth weight, body weight at 21, 35, 41 and 42 days, feed intake from 35 to 41 days, feed conversion ratio from 35 to 41 days and, body weight gain from 35 to 41 days of age. Results: We identified 23,214 autosomal CNVs, merged into 5042 distinct CNV regions (CNVRs), covering 12.84% of the chicken autosomal genome. One significant CNV segment was associated with BWG on GGA3 (q-value = 0.00443); one significant CNV segment was associated with BW35 (q-value = 0.00571), BW41 (q-value = 0.00180) and BW42 (q-value = 0.00130) on GGA3, and one significant CNV segment was associated with BW on GGA5 (q-value = 0.00432). All significant CNV segments were verified by qPCR, and a validation rate of 92.59% was observed. These CNV segments are located nearby genes, such as KCNJ11, MyoD1 and SOX6, known to underlie growth and development. Moreover, gene-set analyses revealed terms linked with muscle physiology, cellular processes regulation and potassium channels. Conclusions: Overall, this CNV-based GWAS study unravels potential candidate genes that may regulate performance traits in chickens. Our findings provide a foundation for future functional studies on the role of specific genes in regulating performance in chickens. Keywords: GWAS, Performance, CNVs, QTLs, qPCR
650 $aAnimal genetics
650 $aAnimal performance
650 $aGallus gallus
650 $aGenome-wide association study
650 $aQuantitative polymerase chain reaction
650 $aQuantitative trait loci
650 $aGallus Domesticus
650 $aGenética Animal
650 $aPerformance
653 $aCNVs
653 $aCopy number variations
653 $aDesempenho zootécnico
653 $aGWAS
653 $aQPCR
653 $aQTLs
700 1 $aSILVA, V. H. da
700 1 $aGOES, C. P.
700 1 $aMOREIRA, G. C. M.
700 1 $aGODOY, T. F.
700 1 $aIBELLI, A. M. G.
700 1 $aPEIXOTO, J. de O.
700 1 $aCANTAO, M. E.
700 1 $aLEDUR, M. C.
700 1 $aREZENDE, F. M. de
700 1 $aCOUTINHO, L. L.
773 $tBMC Genomics$gv. 22, n. 354, 2021.
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Embrapa Suínos e Aves (CNPSA) |
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