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Registro Completo |
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Biblioteca(s): |
Embrapa Agrossilvipastoril. |
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Data corrente: |
09/02/2024 |
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Data da última atualização: |
09/02/2024 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Autoria: |
NASCIMENTO, A. F. do; FERREIRA, A. |
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Afiliação: |
ALEXANDRE FERREIRA DO NASCIMENTO, CPAMT; ANDERSON FERREIRA, CNPT. |
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Título: |
Forage Grass in Static Gas Exchange Chambers Deployed In Southern Amazon Influences Field Measurement of Soil N2O Emissions. |
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Ano de publicação: |
2024 |
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Fonte/Imprenta: |
Journal of Biomedical Research & Environmental Sciences, v. 5, n. 1, p. 16-20, 2024. |
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ISSN: |
2766-2276 |
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Idioma: |
Inglês |
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Conteúdo: |
Abstract: Static chambers are used to estimate the exchange of greenhouse gases between the soil and the atmosphere, but the presence of plants inside such chambers can alter gas fluxes. This study aimed to determine the influence of forage grass on N2O fluxes emanating from an oxisol in the southern Amazon region of Brazil. A randomized experiment comprising two treatments, namely static gas exchange Chambers with Grass (CWG) and Chambers with No Grass (CNG) with six replicates of each was performed to determine N2O fluxes over a period of one year. Soil N2O fluxes in the CWG were higher (19.08 µg N2O-N m-2 h-1) than those in the CNG (9.05 µg N2O-N m-2 h-1), most especially during the wet season. Cumulative N2O emissions were 1.60 and 0.72 kg N2O-N ha-1 for the CWG and CNG, respectively. The higher N2O estimates in the CWG may be attributed to the plant transpiration stream and/or to changes in soil attributes induced by the plants. Measurement of N2O emissions from a grass-covered oxisol inside gas exchange chambers may overestimate soil N2O flux in the tropical humid climate of the Southern Amazon. |
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Thesagro: |
Efeito Estufa; Gado de Corte; Pastagem. |
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Thesaurus Nal: |
Greenhouse gases; Livestock; Pastures. |
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Categoria do assunto: |
P Recursos Naturais, Ciências Ambientais e da Terra |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/doc/1161901/1/2023-cpamt-afn-forage-grass-static-gas-exchange-chambers-deployed-southern-amazon-influences-field-measurement-soil-n2o-emissions.pdf
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Marc: |
LEADER 01806naa a2200217 a 4500
001 2161901
005 2024-02-09
008 2024 bl uuuu u00u1 u #d
022 $a2766-2276
100 1 $aNASCIMENTO, A. F. do
245 $aForage Grass in Static Gas Exchange Chambers Deployed In Southern Amazon Influences Field Measurement of Soil N2O Emissions.$h[electronic resource]
260 $c2024
520 $aAbstract: Static chambers are used to estimate the exchange of greenhouse gases between the soil and the atmosphere, but the presence of plants inside such chambers can alter gas fluxes. This study aimed to determine the influence of forage grass on N2O fluxes emanating from an oxisol in the southern Amazon region of Brazil. A randomized experiment comprising two treatments, namely static gas exchange Chambers with Grass (CWG) and Chambers with No Grass (CNG) with six replicates of each was performed to determine N2O fluxes over a period of one year. Soil N2O fluxes in the CWG were higher (19.08 µg N2O-N m-2 h-1) than those in the CNG (9.05 µg N2O-N m-2 h-1), most especially during the wet season. Cumulative N2O emissions were 1.60 and 0.72 kg N2O-N ha-1 for the CWG and CNG, respectively. The higher N2O estimates in the CWG may be attributed to the plant transpiration stream and/or to changes in soil attributes induced by the plants. Measurement of N2O emissions from a grass-covered oxisol inside gas exchange chambers may overestimate soil N2O flux in the tropical humid climate of the Southern Amazon.
650 $aGreenhouse gases
650 $aLivestock
650 $aPastures
650 $aEfeito Estufa
650 $aGado de Corte
650 $aPastagem
700 1 $aFERREIRA, A.
773 $tJournal of Biomedical Research & Environmental Sciences$gv. 5, n. 1, p. 16-20, 2024.
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Registro original: |
Embrapa Agrossilvipastoril (CPAMT) |
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 | Acesso ao texto completo restrito à biblioteca da Embrapa Suínos e Aves. Para informações adicionais entre em contato com cnpsa.biblioteca@embrapa.br. |
Registro Completo
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Biblioteca(s): |
Embrapa Suínos e Aves. |
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Data corrente: |
28/11/2019 |
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Data da última atualização: |
06/12/2019 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Circulação/Nível: |
A - 2 |
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Autoria: |
MOREIRA, G. C. M.; POLETI, M. D.; PÉRTILLE, F.; BOSCHIERO, C.; CESAR, A. S. M.; GODOY, T. F.; LEDUR, M. C.; REECY, J. M.; GARRICK, D. J.; COUTINHO, L. L. |
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Afiliação: |
GABRIEL COSTA MONTEIRO MOREIRA, USP; USP; USP; CLARISSA BOSCHIERO, USP; ALINE SILVA MELLO CESAR, USP; THAIS FERNANDA GODOY, USP; MONICA CORREA LEDUR, CNPSA; JAMES M. REECY, USP; DORIAN J. GARRICK, USP; LUIZ LEHMANN COUTINHO, USP. |
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Título: |
Unraveling genomic associations with feed efficiency and body weight traits in chickens through an integrative approach. |
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Ano de publicação: |
2019 |
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Fonte/Imprenta: |
BMC Genetics, v. 20, n. 83, 2019. |
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Idioma: |
Inglês |
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Conteúdo: |
Abstract Background: Feed efficiency and growth rate have been targets for selection to improve chicken production. The incorporation of genomic tools may help to accelerate selection. We genotyped 529 individuals using a high-density SNP chip (600 K, Affymetrix®) to estimate genomic heritability of performance traits and to identify genomic regions and their positional candidate genes associated with performance traits in a Brazilian F2 Chicken Resource population. Regions exhibiting selection signatures and a SNP dataset from resequencing were integrated with the genomic regions identified using the chip to refine the list of positional candidate genes and identify potential causative mutations. Results: Feed intake (FI), feed conversion ratio (FC), feed efficiency (FE) and weight gain (WG) exhibited low genomic heritability values (i.e. from 0.0002 to 0.13), while body weight at hatch (BW1), 35 days-of-age (BW35), and 41 days-of-age (BW41) exhibited high genomic heritability values (i.e. from 0.60 to 0.73) in this F2 population. Twenty unique 1-Mb genomic windows were associated with BW1, BW35 or BW41, located on GGA1?4, 6?7, 10, 14, 24, 27 and 28. Thirty-eight positional candidate genes were identified within these windows, and three of them overlapped with selection signature regions. Thirteen predicted deleterious and three high impact sequence SNPs in these QTL regions were annotated in 11 positional candidate genes related to osteogenesis, skeletal muscle development, growth, energy metabolism and lipid metabolism, which may be associated with body weight in chickens. Conclusions: The use of a high-density SNP array to identify QTL which were integrated with whole genome sequence signatures of selection allowed the identification of candidate genes and candidate causal variants. One novel QTL was detected providing additional information to understand the genetic architecture of body weight traits. We identified QTL for body weight traits, which were also associated with fatness in the same population. Our findings form a basis for further functional studies to elucidate the role of specific genes in regulating body weight and fat deposition in chickens, generating useful information for poultry breeding programs. MenosAbstract Background: Feed efficiency and growth rate have been targets for selection to improve chicken production. The incorporation of genomic tools may help to accelerate selection. We genotyped 529 individuals using a high-density SNP chip (600 K, Affymetrix®) to estimate genomic heritability of performance traits and to identify genomic regions and their positional candidate genes associated with performance traits in a Brazilian F2 Chicken Resource population. Regions exhibiting selection signatures and a SNP dataset from resequencing were integrated with the genomic regions identified using the chip to refine the list of positional candidate genes and identify potential causative mutations. Results: Feed intake (FI), feed conversion ratio (FC), feed efficiency (FE) and weight gain (WG) exhibited low genomic heritability values (i.e. from 0.0002 to 0.13), while body weight at hatch (BW1), 35 days-of-age (BW35), and 41 days-of-age (BW41) exhibited high genomic heritability values (i.e. from 0.60 to 0.73) in this F2 population. Twenty unique 1-Mb genomic windows were associated with BW1, BW35 or BW41, located on GGA1?4, 6?7, 10, 14, 24, 27 and 28. Thirty-eight positional candidate genes were identified within these windows, and three of them overlapped with selection signature regions. Thirteen predicted deleterious and three high impact sequence SNPs in these QTL regions were annotated in 11 positional candidate genes related to osteogenesis, skeletal muscle development... Mostrar Tudo |
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Palavras-Chave: |
Características de desempenho; Genomic heritability; Genotypic data; GWAS; Herdabilidade genômica; Performance traits. |
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Thesagro: |
Frango de Corte; Genoma; Seleção Genótipa. |
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Categoria do assunto: |
-- |
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Marc: |
LEADER 03240naa a2200337 a 4500
001 2115438
005 2019-12-06
008 2019 bl uuuu u00u1 u #d
100 1 $aMOREIRA, G. C. M.
245 $aUnraveling genomic associations with feed efficiency and body weight traits in chickens through an integrative approach.$h[electronic resource]
260 $c2019
520 $aAbstract Background: Feed efficiency and growth rate have been targets for selection to improve chicken production. The incorporation of genomic tools may help to accelerate selection. We genotyped 529 individuals using a high-density SNP chip (600 K, Affymetrix®) to estimate genomic heritability of performance traits and to identify genomic regions and their positional candidate genes associated with performance traits in a Brazilian F2 Chicken Resource population. Regions exhibiting selection signatures and a SNP dataset from resequencing were integrated with the genomic regions identified using the chip to refine the list of positional candidate genes and identify potential causative mutations. Results: Feed intake (FI), feed conversion ratio (FC), feed efficiency (FE) and weight gain (WG) exhibited low genomic heritability values (i.e. from 0.0002 to 0.13), while body weight at hatch (BW1), 35 days-of-age (BW35), and 41 days-of-age (BW41) exhibited high genomic heritability values (i.e. from 0.60 to 0.73) in this F2 population. Twenty unique 1-Mb genomic windows were associated with BW1, BW35 or BW41, located on GGA1?4, 6?7, 10, 14, 24, 27 and 28. Thirty-eight positional candidate genes were identified within these windows, and three of them overlapped with selection signature regions. Thirteen predicted deleterious and three high impact sequence SNPs in these QTL regions were annotated in 11 positional candidate genes related to osteogenesis, skeletal muscle development, growth, energy metabolism and lipid metabolism, which may be associated with body weight in chickens. Conclusions: The use of a high-density SNP array to identify QTL which were integrated with whole genome sequence signatures of selection allowed the identification of candidate genes and candidate causal variants. One novel QTL was detected providing additional information to understand the genetic architecture of body weight traits. We identified QTL for body weight traits, which were also associated with fatness in the same population. Our findings form a basis for further functional studies to elucidate the role of specific genes in regulating body weight and fat deposition in chickens, generating useful information for poultry breeding programs.
650 $aFrango de Corte
650 $aGenoma
650 $aSeleção Genótipa
653 $aCaracterísticas de desempenho
653 $aGenomic heritability
653 $aGenotypic data
653 $aGWAS
653 $aHerdabilidade genômica
653 $aPerformance traits
700 1 $aPOLETI, M. D.
700 1 $aPÉRTILLE, F.
700 1 $aBOSCHIERO, C.
700 1 $aCESAR, A. S. M.
700 1 $aGODOY, T. F.
700 1 $aLEDUR, M. C.
700 1 $aREECY, J. M.
700 1 $aGARRICK, D. J.
700 1 $aCOUTINHO, L. L.
773 $tBMC Genetics$gv. 20, n. 83, 2019.
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