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Registro Completo |
Biblioteca(s): |
Embrapa Soja. |
Data corrente: |
11/09/2023 |
Data da última atualização: |
11/09/2023 |
Tipo da produção científica: |
Artigo em Anais de Congresso |
Autoria: |
PRANDO, A. M.; CARNEVALLI, R. A.; OLIVEIRA, A. B. de; LIMA, D. de; POSSAMAI, E. J.; NOGUEIRA, M. A.; HUNGRIA, M. |
Afiliação: |
ANDRE MATEUS PRANDO, CNPSO; R. A. CARNEVALLI; ARNOLD BARBOSA DE OLIVEIRA, CNPSO; DIVANIA DE LIMA, CNPSO; E. J. POSSAMAI, IDR-PARANÁ; MARCO ANTONIO NOGUEIRA, CNPSO; MARIANGELA HUNGRIA DA CUNHA, CNPSO. |
Título: |
Coinoculação da soja com Bradyrhizobium e Azospirillum na safra 2022/2023 no Paraná. |
Ano de publicação: |
2023 |
Fonte/Imprenta: |
In: REUNIÃO DE PESQUISA DE SOJA, 38., 2023, Londrina. Resumos expandidos... Londrina: Embrapa Soja, 2023. (Embrapa Soja. Eventos técnicos & científicos, 1). Editado por Fernando Augusto Henning, Regina Maria Villas Bôas de Campos Leite. RPS 2023. |
Páginas: |
p. 209-212. |
Idioma: |
Português |
Thesagro: |
Fixação de Nitrogênio; Soja. |
Thesaurus Nal: |
Nitrogen fixation; Soybeans. |
Categoria do assunto: |
X Pesquisa, Tecnologia e Engenharia |
URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/doc/1156579/1/p-209-ETC-1-RPS-2023-res-exp-2-22.pdf
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Marc: |
LEADER 00890nam a2200229 a 4500 001 2156579 005 2023-09-11 008 2023 bl uuuu u00u1 u #d 100 1 $aPRANDO, A. M. 245 $aCoinoculação da soja com Bradyrhizobium e Azospirillum na safra 2022/2023 no Paraná.$h[electronic resource] 260 $aIn: REUNIÃO DE PESQUISA DE SOJA, 38., 2023, Londrina. Resumos expandidos... Londrina: Embrapa Soja, 2023. (Embrapa Soja. Eventos técnicos & científicos, 1). Editado por Fernando Augusto Henning, Regina Maria Villas Bôas de Campos Leite. RPS 2023.$c2023 300 $ap. 209-212. 650 $aNitrogen fixation 650 $aSoybeans 650 $aFixação de Nitrogênio 650 $aSoja 700 1 $aCARNEVALLI, R. A. 700 1 $aOLIVEIRA, A. B. de 700 1 $aLIMA, D. de 700 1 $aPOSSAMAI, E. J. 700 1 $aNOGUEIRA, M. A. 700 1 $aHUNGRIA, M.
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Registro original: |
Embrapa Soja (CNPSO) |
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Registro Completo
Biblioteca(s): |
Embrapa Roraima. |
Data corrente: |
15/09/2021 |
Data da última atualização: |
15/09/2021 |
Tipo da produção científica: |
Artigo em Periódico Indexado |
Circulação/Nível: |
A - 2 |
Autoria: |
McMANUS, C.; PAIVA, S. R.; CAETANO, A. R.; HERMUCHE, P.; GUIMARÃES, R. F.; CARVALHO JUNIOR, O. A.; BRAGA, R. M.; CARNEIRO, P. L. S.; MORAES, J. C. F.; SOUZA, C. J. H. de; FACO, O.; SANTOS, S. A.; AZEVEDO, H. C.; ARAUJO, A. M. de; FAÇANHA, D. A. E.; IANELLA, P. |
Afiliação: |
CONCEPTA MCMANUS, Universidade de Brasília (UnB) - Brasília, DF, Brazil; SAMUEL REZENDE PAIVA, Cenargen; ALEXANDRE RODRIGUES CAETANO, Cenargen; POTIRA HERMUCHE, Universidade de Brasília (UnB) - Brasília, DF, Brazil; RENATO FONTES GUIMARÃES, Universidade de Brasília (UnB) - Brasília, DF, Brazil; OSMAR ABILIO CARVALHO JUNIOR, Universidade de Brasília (UnB) - Brasília, DF, Brazil; RAMAYANA MENEZES BRAGA, CPAF-RR; PAULO LUIZ SOUZA CARNEIRO, Universidade Estadual Do Sudoeste da Bahia (UESB) - Vitória da Conquista - BA, Brazil; JOSE CARLOS FERRUGEM MORAES, CPPSUL; CARLOS JOSE HOFF DE SOUZA; OLIVARDO FACO, CNPC; SANDRA APARECIDA SANTOS; HYMERSON COSTA AZEVEDO, CPATC; ADRIANA MELLO DE ARAUJO, CPAMN; DEBORA ANDRÉA E. FAÇANHA, Federal Rural University of the Semi-arid Region (UFERSA) - Mossoró, RN, Brazil; PATRICIA IANELLA, Cenargen. |
Título: |
Landscape genetics of sheep in Brazil using SNP markers. |
Ano de publicação: |
2020 |
Fonte/Imprenta: |
Small Ruminant Research, v. 192, e106239, 2020. |
DOI: |
https://doi.org/10.1016/j.smallrumres.2020.106239 |
Idioma: |
Inglês |
Conteúdo: |
Abstract: The aim of this study was to explore spatial patterns of genetic structure in sheep breeds sampled in Brazil using Single Nucleotide Polymorphisms (SNPs) in order to evaluate whether or not the genetic and geographic dis-tances are interrelated in this species. Samples genotyped using the 50KSheepSNPChip (Illumina) included 215 animals from eight different sheep breeds. All collection sites were georeferenced and data analyzed to determine geographic patterns from genetic data. To evaluate the correlation between genetic and geographic distances Mantel tests, Allelic Aggregation Index Analyses (AAIA), and spatial autocorrelation were performed. Genetic Landscape Shape procedure and Monmonier?s Algorithm were used to generate graphical visualization of the genetic distances across the landscape. The observed correlation observed between genetic and geographical distances was 0.552 (P <0.00099). Observed AAIA results (Rave =0.16, P <0.001) indicated a non-random distribution of genotypes across the landscape. High genetic differentiation was observed in the Southern re-gions of Brazil, separating wool and hair sheep. Low genetic distances were observed between flocks and breeds from north and center-west regions, and may be the result of unrecorded introgressions resulting from past unknown crossbreeding events. Observed Spatial Autocorrelation Analyses results indicate a minimum distance of 400 km should be used between collection sites to maximize genetic variability in future germplasm samplings for conservation of genetic resources. MenosAbstract: The aim of this study was to explore spatial patterns of genetic structure in sheep breeds sampled in Brazil using Single Nucleotide Polymorphisms (SNPs) in order to evaluate whether or not the genetic and geographic dis-tances are interrelated in this species. Samples genotyped using the 50KSheepSNPChip (Illumina) included 215 animals from eight different sheep breeds. All collection sites were georeferenced and data analyzed to determine geographic patterns from genetic data. To evaluate the correlation between genetic and geographic distances Mantel tests, Allelic Aggregation Index Analyses (AAIA), and spatial autocorrelation were performed. Genetic Landscape Shape procedure and Monmonier?s Algorithm were used to generate graphical visualization of the genetic distances across the landscape. The observed correlation observed between genetic and geographical distances was 0.552 (P <0.00099). Observed AAIA results (Rave =0.16, P <0.001) indicated a non-random distribution of genotypes across the landscape. High genetic differentiation was observed in the Southern re-gions of Brazil, separating wool and hair sheep. Low genetic distances were observed between flocks and breeds from north and center-west regions, and may be the result of unrecorded introgressions resulting from past unknown crossbreeding events. Observed Spatial Autocorrelation Analyses results indicate a minimum distance of 400 km should be used between collection sites to maximize genetic variabili... Mostrar Tudo |
Palavras-Chave: |
Delaunay triangulation; Genetic landscape shape; Mantel. |
Thesaurus NAL: |
Brazil; Genetic polymorphism; Germplasm conservation; Sampling; Sheep; Sheep breeds; Single nucleotide polymorphism. |
Categoria do assunto: |
G Melhoramento Genético |
Marc: |
LEADER 02793naa a2200433 a 4500 001 2134431 005 2021-09-15 008 2020 bl uuuu u00u1 u #d 024 7 $ahttps://doi.org/10.1016/j.smallrumres.2020.106239$2DOI 100 1 $aMcMANUS, C. 245 $aLandscape genetics of sheep in Brazil using SNP markers.$h[electronic resource] 260 $c2020 520 $aAbstract: The aim of this study was to explore spatial patterns of genetic structure in sheep breeds sampled in Brazil using Single Nucleotide Polymorphisms (SNPs) in order to evaluate whether or not the genetic and geographic dis-tances are interrelated in this species. Samples genotyped using the 50KSheepSNPChip (Illumina) included 215 animals from eight different sheep breeds. All collection sites were georeferenced and data analyzed to determine geographic patterns from genetic data. To evaluate the correlation between genetic and geographic distances Mantel tests, Allelic Aggregation Index Analyses (AAIA), and spatial autocorrelation were performed. Genetic Landscape Shape procedure and Monmonier?s Algorithm were used to generate graphical visualization of the genetic distances across the landscape. The observed correlation observed between genetic and geographical distances was 0.552 (P <0.00099). Observed AAIA results (Rave =0.16, P <0.001) indicated a non-random distribution of genotypes across the landscape. High genetic differentiation was observed in the Southern re-gions of Brazil, separating wool and hair sheep. Low genetic distances were observed between flocks and breeds from north and center-west regions, and may be the result of unrecorded introgressions resulting from past unknown crossbreeding events. Observed Spatial Autocorrelation Analyses results indicate a minimum distance of 400 km should be used between collection sites to maximize genetic variability in future germplasm samplings for conservation of genetic resources. 650 $aBrazil 650 $aGenetic polymorphism 650 $aGermplasm conservation 650 $aSampling 650 $aSheep 650 $aSheep breeds 650 $aSingle nucleotide polymorphism 653 $aDelaunay triangulation 653 $aGenetic landscape shape 653 $aMantel 700 1 $aPAIVA, S. R. 700 1 $aCAETANO, A. R. 700 1 $aHERMUCHE, P. 700 1 $aGUIMARÃES, R. F. 700 1 $aCARVALHO JUNIOR, O. A. 700 1 $aBRAGA, R. M. 700 1 $aCARNEIRO, P. L. S. 700 1 $aMORAES, J. C. F. 700 1 $aSOUZA, C. J. H. de 700 1 $aFACO, O. 700 1 $aSANTOS, S. A. 700 1 $aAZEVEDO, H. C. 700 1 $aARAUJO, A. M. de 700 1 $aFAÇANHA, D. A. E. 700 1 $aIANELLA, P. 773 $tSmall Ruminant Research$gv. 192, e106239, 2020.
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