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Registro Completo |
Biblioteca(s): |
Embrapa Unidades Centrais. |
Data corrente: |
20/11/2017 |
Data da última atualização: |
20/11/2017 |
Autoria: |
DIAS, D. A.; POLO, L. R. T.; LAZZARI, F.; SILVA, G. J. da; SCHUSTER, I. |
Afiliação: |
Douglas Antônio Dias, Departamento de Agronomia, Campus Erechim/Universidade Federal da Fronteira Sul; Leandra Regina Texeira Polo, Cooperativa Central de Pesquisa Agrícola; Fabiane Lazzari, Cooperativa Central de Pesquisa Agrícola; Glacy Jaqueline da Silva, Universidade Paranaense/Campus I; Ivan Schuster, Universidade Paranaense/Campus I. |
Título: |
Genome-wide association for mapping QTLs linked to protein and oil contents in soybean. |
Ano de publicação: |
2017 |
Fonte/Imprenta: |
Pesquisa Agropecuária Brasileira, Brasília, DF, v. 52, n. 10, p. 896-904, out. 2017. |
Idioma: |
Inglês |
Notas: |
Título em português: Associação genômica ampla para mapeamento de QTLs ligados a conteúdos de proteína e óleo em soja. |
Conteúdo: |
The objective of this work was to identify single-nucleotide polymorphism (SNP) markers linked with quantitative trait loci (QTLs) associated with increased contents of protein and oil in soybean. A total of 169 Brazilian soybean varieties, genotyped with 6,000 SNP markers, were evaluated. Protein and oil contents were obtained with the near-infrared reflectance method. Correlation and multiple linear regression analyses were used to identify linkage disequilibrium between SNP markers and the QTLs associated with the two characteristics. Seven QTLs were found to be associated with protein content, on six chromosomes (2, 6, 11, 12, 13, and 16), explaining 60.9% of the variation in this trait. For oil content, eight QTLs were identified on six chromosomes (1, 4, 5, 6, 17, and 19), explaining 78.3% of the variation in the trait. The correlation between the number of loci containing favorable alleles and the evaluated characteristics was 0.49 for protein content and 0.60 for oil content. The molecular markers identified are mapped in genomic regions containing QTLs previously mapped for both characteristics, which reinforces the association between these regions and the genetic control of oil and protein contents in soybean. |
Palavras-Chave: |
Association genetics; Desequilíbrio de ligação; Genética de associação; Qualidade do grão; Seleção assistida por marcador; Seleção genômica. |
Thesagro: |
Glycine Max. |
Thesaurus Nal: |
Grain quality; Linkage disequilibrium; Marker-assisted selection. |
Categoria do assunto: |
-- |
URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/166970/1/Genome-wine-association-for-mapping-QTLs.pdf
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Marc: |
LEADER 02280naa a2200301 a 4500 001 2080126 005 2017-11-20 008 2017 bl uuuu u00u1 u #d 100 1 $aDIAS, D. A. 245 $aGenome-wide association for mapping QTLs linked to protein and oil contents in soybean. 260 $c2017 500 $aTítulo em português: Associação genômica ampla para mapeamento de QTLs ligados a conteúdos de proteína e óleo em soja. 520 $aThe objective of this work was to identify single-nucleotide polymorphism (SNP) markers linked with quantitative trait loci (QTLs) associated with increased contents of protein and oil in soybean. A total of 169 Brazilian soybean varieties, genotyped with 6,000 SNP markers, were evaluated. Protein and oil contents were obtained with the near-infrared reflectance method. Correlation and multiple linear regression analyses were used to identify linkage disequilibrium between SNP markers and the QTLs associated with the two characteristics. Seven QTLs were found to be associated with protein content, on six chromosomes (2, 6, 11, 12, 13, and 16), explaining 60.9% of the variation in this trait. For oil content, eight QTLs were identified on six chromosomes (1, 4, 5, 6, 17, and 19), explaining 78.3% of the variation in the trait. The correlation between the number of loci containing favorable alleles and the evaluated characteristics was 0.49 for protein content and 0.60 for oil content. The molecular markers identified are mapped in genomic regions containing QTLs previously mapped for both characteristics, which reinforces the association between these regions and the genetic control of oil and protein contents in soybean. 650 $aGrain quality 650 $aLinkage disequilibrium 650 $aMarker-assisted selection 650 $aGlycine Max 653 $aAssociation genetics 653 $aDesequilíbrio de ligação 653 $aGenética de associação 653 $aQualidade do grão 653 $aSeleção assistida por marcador 653 $aSeleção genômica 700 1 $aPOLO, L. R. T. 700 1 $aLAZZARI, F. 700 1 $aSILVA, G. J. da 700 1 $aSCHUSTER, I. 773 $tPesquisa Agropecuária Brasileira, Brasília, DF$gv. 52, n. 10, p. 896-904, out. 2017.
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Embrapa Unidades Centrais (AI-SEDE) |
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Biblioteca(s): |
Embrapa Meio Ambiente. |
Data corrente: |
08/01/2019 |
Data da última atualização: |
30/10/2019 |
Tipo da produção científica: |
Resumo em Anais de Congresso |
Autoria: |
SILVA, M. G. da; PACKER, A. P.; SAMPAIO, F. G.; SILVA, C. M. da; SILVA, J. L. da. |
Afiliação: |
Marcelo G. da Silva; ANA PAULA CONTADOR PACKER, CNPMA; FERNANDA GARCIA SAMPAIO, CNPMA; Consuelo Marques da Silva; Juliana Lopes da Silva. |
Título: |
Climate change and fish farming. |
Ano de publicação: |
2018 |
Fonte/Imprenta: |
In: LATIN AMERICA AND CARIBBEAN ECOSYSTEM SERVICES PARTNERSHIP CONFERENCE, 2., 2018, Campinas. Book of abstracts... Campinas: Ecosystem Services Partnership (ESP), 2018. |
Idioma: |
Português |
Conteúdo: |
The knowledge of the environmental impact of an activity can be seen as a market differential. Agricultural activities such as cattle raising have been heavily taxed because they are considered high greenhouse gases (GHG) emissions, forcing the market to adopt mitigating measures. Little is known about its emission and its real impact of aquaculture on climate change. The increase of GHG in the atmosphere results in alterations like the increase of the temperature and changes in the precipitation with direct effects in the aquaculture as alterations in the growth, reproduction and fish mortality. A pioneer work was done to quantify methane (CH4) and carbon dioxide (CO2) fluxes of fish farming areas with Nile tilapia (Oreochromis niloticus) in net cages. The GHG fluxes were measured in fish farms at the tropical reservoirs Furnas (FHR), Castanhão (CAS) and Chavantes (CHV). The CH4 was classified by the mechanism for gas transport through the water column as diffusive flux or bubble flux. The comparison between the points with fish net cages and control (without net cages) in FHR and CHV suggest that fish farming did not impact the emission of CH4 by diffusive transport. In the CAS, high CH4 diffusive fluxes were observed in sites with fish net cages. The mean CH4 bubble flux in CAS and CHV was higher in areas with fish net cages when compared to areas free of fish production suggesting the influence of fish farming on the CH4 bubble fluxes. In the FHR, the decrease in depth during the drought period was associated as the factor with the greatest impact on the CH4 bubbles emission. The CO2 sink in CAS and emission in CHV suggest that characteristics of the reservoir, as chlorophyll-a and turbidity have a greater impact factor to CO2 emission than the fish farming. MenosThe knowledge of the environmental impact of an activity can be seen as a market differential. Agricultural activities such as cattle raising have been heavily taxed because they are considered high greenhouse gases (GHG) emissions, forcing the market to adopt mitigating measures. Little is known about its emission and its real impact of aquaculture on climate change. The increase of GHG in the atmosphere results in alterations like the increase of the temperature and changes in the precipitation with direct effects in the aquaculture as alterations in the growth, reproduction and fish mortality. A pioneer work was done to quantify methane (CH4) and carbon dioxide (CO2) fluxes of fish farming areas with Nile tilapia (Oreochromis niloticus) in net cages. The GHG fluxes were measured in fish farms at the tropical reservoirs Furnas (FHR), Castanhão (CAS) and Chavantes (CHV). The CH4 was classified by the mechanism for gas transport through the water column as diffusive flux or bubble flux. The comparison between the points with fish net cages and control (without net cages) in FHR and CHV suggest that fish farming did not impact the emission of CH4 by diffusive transport. In the CAS, high CH4 diffusive fluxes were observed in sites with fish net cages. The mean CH4 bubble flux in CAS and CHV was higher in areas with fish net cages when compared to areas free of fish production suggesting the influence of fish farming on the CH4 bubble fluxes. In the FHR, the decrease in depth d... Mostrar Tudo |
Palavras-Chave: |
Tropical reservoirs. |
Thesaurus NAL: |
Climate change; Fish farms; Greenhouse gas emissions; Water reservoirs. |
Categoria do assunto: |
A Sistemas de Cultivo |
URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/190211/1/RA-PackerAPC-et-al-LAC2018.pdf
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Marc: |
LEADER 02514nam a2200217 a 4500 001 2103247 005 2019-10-30 008 2018 bl uuuu u00u1 u #d 100 1 $aSILVA, M. G. da 245 $aClimate change and fish farming.$h[electronic resource] 260 $aIn: LATIN AMERICA AND CARIBBEAN ECOSYSTEM SERVICES PARTNERSHIP CONFERENCE, 2., 2018, Campinas. Book of abstracts... Campinas: Ecosystem Services Partnership (ESP)$c2018 520 $aThe knowledge of the environmental impact of an activity can be seen as a market differential. Agricultural activities such as cattle raising have been heavily taxed because they are considered high greenhouse gases (GHG) emissions, forcing the market to adopt mitigating measures. Little is known about its emission and its real impact of aquaculture on climate change. The increase of GHG in the atmosphere results in alterations like the increase of the temperature and changes in the precipitation with direct effects in the aquaculture as alterations in the growth, reproduction and fish mortality. A pioneer work was done to quantify methane (CH4) and carbon dioxide (CO2) fluxes of fish farming areas with Nile tilapia (Oreochromis niloticus) in net cages. The GHG fluxes were measured in fish farms at the tropical reservoirs Furnas (FHR), Castanhão (CAS) and Chavantes (CHV). The CH4 was classified by the mechanism for gas transport through the water column as diffusive flux or bubble flux. The comparison between the points with fish net cages and control (without net cages) in FHR and CHV suggest that fish farming did not impact the emission of CH4 by diffusive transport. In the CAS, high CH4 diffusive fluxes were observed in sites with fish net cages. The mean CH4 bubble flux in CAS and CHV was higher in areas with fish net cages when compared to areas free of fish production suggesting the influence of fish farming on the CH4 bubble fluxes. In the FHR, the decrease in depth during the drought period was associated as the factor with the greatest impact on the CH4 bubbles emission. The CO2 sink in CAS and emission in CHV suggest that characteristics of the reservoir, as chlorophyll-a and turbidity have a greater impact factor to CO2 emission than the fish farming. 650 $aClimate change 650 $aFish farms 650 $aGreenhouse gas emissions 650 $aWater reservoirs 653 $aTropical reservoirs 700 1 $aPACKER, A. P. 700 1 $aSAMPAIO, F. G. 700 1 $aSILVA, C. M. da 700 1 $aSILVA, J. L. da
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