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| Registros recuperados : 4 | |
| 1. |  | OLIVEIRA, R. M. D. de; TEODORO, K. B. R.; PEREIRA, V. A. C.; FERREIRA, M. D. Avaliação do uso de nanopartículas de prata na extensão da vida útil pós-colheita. In: JORNADA CIENTÍFICA - EMBRAPA SÃO CARLOS, 13., 2021, São Carlos, SP. Anais... São Carlos: Embrapa Pecuária Sudeste: Embrapa Instrumentação, 2021. Editores técnicos: Alexandre Berndt, Ana Rita de Araujo Nogueira, Lea Chapaval Andri, Marcelo Mattos Cavallari, Manuel Antonio Chagas Jacinto. 15| Biblioteca(s): Embrapa Instrumentação. |
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| 2. | | OLIVEIRA FILHO, J. G.; SILVA, G. C.; OLDONI, F. C. A.; MIRANDA, M.; FLORENCIO, C.; OLIVEIRA, R. M. D. de; GOMES, M. P.; FERREIRA, M. D. Edible coating based on carnauba wax nanoemulsion and cymbopogon martinii essential oil on papaya postharvest preservation. Coatings, v. 12, a1700, 2022. 9 p.| Biblioteca(s): Embrapa Instrumentação. |
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| 3. | | CASTRO, V. L. S. S. de; JONSSON, C. M.; SILVA, M. S. G. M. e; CASTANHA, R. F.; VALLIM, J. H.; SILVA, L. A. G. da; OLIVEIRA, R. M. D. de; CORREA, D. S.; FERREIRA, M. D. Estimates of AgNP toxicity thresholds in support of environmental safety policies. Journal of Nanoparticle Research, v. 24, n. 1, article 24, 2022.| Biblioteca(s): Embrapa Instrumentação; Embrapa Meio Ambiente. |
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| 4. | | ZUCCHINI, N. M.; FLORENCIO, C.; MIRANDA, M.; OLDONI, F. C. A.; BONFIM, N. S.; RODRIGUES, K. A.; OLIVEIRA, R. M. D. DE; FOSCHINI, M. M.; HUBINGER, S. Z.; BRESOLIN, J. D.; FERREIRA, M. D. Effect of carnauba wax nanoemulsion coating on postharvest papaya quality. ISHS Acta Horticulturae, v. 1325, p. 199-206, 2021. V International Symposium on Postharvest Pathology: From Consumer to Laboratory-Sustainable Approaches to Managing Postharvest Pathogens.| Biblioteca(s): Embrapa Instrumentação. |
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| Registros recuperados : 4 | |
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Registro Completo
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Biblioteca(s): |
Embrapa Suínos e Aves. |
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Data corrente: |
10/08/2021 |
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Data da última atualização: |
10/08/2021 |
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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: |
MARCHESI, J. A. P.; ONO, R. K.; CANTAO, M. E.; IBELLI, A. M. G.; PEIXOTO, J. de O.; MOREIRA, G. C. M.; GODOY, T. F.; COUTINHO, L. L.; MUNARI, D. P.; LEDUR, M. C. |
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Afiliação: |
JORGE AUGUSTO PETROLI MARCHESI, UNESP; RAFAEL KEITH ONO, Pamplona Alimentos S/A; MAURICIO EGIDIO CANTAO, CNPSA; ADRIANA MERCIA GUARATINI IBELLI, CNPSA; JANE DE OLIVEIRA PEIXOTO, CNPSA; GABRIEL COSTA MONTEIRO MOREIRA, ESALQ; THAIS FERNANDA GODOY, ESALQ; LUIZ LEHMANN COUTINHO, ESALQ; DANÍSIO PRADO MUNARI, UNESP; MONICA CORREA LEDUR, CNPSA. |
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Título: |
Exploring the genetic architecture of feed efficiency traits in chickens. |
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Ano de publicação: |
2021 |
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Fonte/Imprenta: |
Scientific Reports, v. 11, n. 4622, 2021. |
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DOI: |
https://doi.org/10.1038/s41598-021-84125-9 |
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Idioma: |
Inglês |
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Conteúdo: |
Abstract: Chicken feed efficiency (FE) traits are the most important economic traits in broiler production. Several studies evaluating genetic factors affecting food consumption in chickens are available. However, most of these studies identified genomic regions containing putative quantitative trait loci for each trait separately. It is still a challenge to find common gene networks related to these traits. Therefore, here, a genome-wide association study (GWAS) was conducted to explore candidate genomic regions responsible for Feed Intake (FI), Body Weight Gain (BWG) and Feed Conversion Ratio (FCR) traits and their gene networks. A total of 1430 broilers from an experimental population was genotyped with the high density Affymetrix 600K SNP array. A total of 119 associated SNPs located in 20 chromosomes were identified, where some of them were common in more than one FE trait. In addition, novel genomic regions were prospected considering the SNPs dominance effects and sex interaction, identifying putative candidate genes only when these effects were fit in the model. Relevant candidate genes such as ATRNL1, PIK3C2A, PTPRN2, SORCS3 and gga-mir-1759 were highlighted in this study helping to elucidate the genomic architecture of feed efficiency traits. These results provide new insights on the mechanisms underlying the consumption and utilization of food in chickens. |
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Thesagro: |
Frango de Corte; Ganho de Peso; Genética Animal; Genoma; Produção Animal. |
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Categoria do assunto: |
-- |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/225028/1/final9546.pdf
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Marc: |
LEADER 02249naa a2200301 a 4500
001 2133426
005 2021-08-10
008 2021 bl uuuu u00u1 u #d
024 7 $ahttps://doi.org/10.1038/s41598-021-84125-9$2DOI
100 1 $aMARCHESI, J. A. P.
245 $aExploring the genetic architecture of feed efficiency traits in chickens.$h[electronic resource]
260 $c2021
520 $aAbstract: Chicken feed efficiency (FE) traits are the most important economic traits in broiler production. Several studies evaluating genetic factors affecting food consumption in chickens are available. However, most of these studies identified genomic regions containing putative quantitative trait loci for each trait separately. It is still a challenge to find common gene networks related to these traits. Therefore, here, a genome-wide association study (GWAS) was conducted to explore candidate genomic regions responsible for Feed Intake (FI), Body Weight Gain (BWG) and Feed Conversion Ratio (FCR) traits and their gene networks. A total of 1430 broilers from an experimental population was genotyped with the high density Affymetrix 600K SNP array. A total of 119 associated SNPs located in 20 chromosomes were identified, where some of them were common in more than one FE trait. In addition, novel genomic regions were prospected considering the SNPs dominance effects and sex interaction, identifying putative candidate genes only when these effects were fit in the model. Relevant candidate genes such as ATRNL1, PIK3C2A, PTPRN2, SORCS3 and gga-mir-1759 were highlighted in this study helping to elucidate the genomic architecture of feed efficiency traits. These results provide new insights on the mechanisms underlying the consumption and utilization of food in chickens.
650 $aFrango de Corte
650 $aGanho de Peso
650 $aGenética Animal
650 $aGenoma
650 $aProdução Animal
700 1 $aONO, R. K.
700 1 $aCANTAO, M. E.
700 1 $aIBELLI, A. M. G.
700 1 $aPEIXOTO, J. de O.
700 1 $aMOREIRA, G. C. M.
700 1 $aGODOY, T. F.
700 1 $aCOUTINHO, L. L.
700 1 $aMUNARI, D. P.
700 1 $aLEDUR, M. C.
773 $tScientific Reports$gv. 11, n. 4622, 2021.
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Embrapa Suínos e Aves (CNPSA) |
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