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Registro Completo |
Biblioteca(s): |
Embrapa Uva e Vinho. |
Data corrente: |
11/11/2010 |
Data da última atualização: |
18/08/2022 |
Tipo da produção científica: |
Artigo em Anais de Congresso |
Autoria: |
COSTA, R. C. da; CALVETE, E. O.; CHAVARRIA, G.; MENDONÇA, H. C. F.; SCHULZ, T.; SANTOS, H. P. dos. |
Afiliação: |
ROSIANI CASTOLDI DA COSTA, UNIVERSIDADE DE PASSO FUNDO; EUNICE OLIVEIRA CALVETE, UNIVERSIDADE DE PASSO FUNDO; GERALDO CHAVARRIA, UNIVERSIDADE DE PASSO FUNDO; HELOÍSA CONSTÂNCIO FERRO MENDONÇA, UNIVERSIDADE DE PASSO FUNDO; TIAGO SCHULZ, UNIVERSIDADE DE PASSO FUNDO; HENRIQUE PESSOA DOS SANTOS, CNPUV. |
Título: |
Trocas gasosas de morangueiro cv. Albion cultivado em diferentes substrato em ambiente protegido. |
Ano de publicação: |
2010 |
Fonte/Imprenta: |
In: CONGRESSO BRASILEIRO DE FRUTICULTURA, 21., 2010, Natal. Frutas: saúde, inovação e responsabilidade: anais. Natal: Sociedade Brasileira de Fruticultura, 2010. |
Páginas: |
4 p. |
Idioma: |
Português |
Notas: |
REsumo expandido. |
Conteúdo: |
O mercado de morangos necessita de produção precoce e em períodos de entressafra e uma das formas de conseguir suprir essa demanda é através do cultivo sem solo em ambiente protegido no qual, pode-se antecipar o início da colheita e ainda incrementar o rendimento por área (Calvete et al., 2007). |
Thesagro: |
Cultivo protegido; Fisiologia vegetal; Fruticultura; Morango; Substrato de cultura. |
Categoria do assunto: |
F Plantas e Produtos de Origem Vegetal |
URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/doc/866818/1/ID12626.pdf
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Marc: |
LEADER 01163nam a2200253 a 4500 001 1866818 005 2022-08-18 008 2010 bl uuuu u00u1 u #d 100 1 $aCOSTA, R. C. da 245 $aTrocas gasosas de morangueiro cv. Albion cultivado em diferentes substrato em ambiente protegido.$h[electronic resource] 260 $aIn: CONGRESSO BRASILEIRO DE FRUTICULTURA, 21., 2010, Natal. Frutas: saúde, inovação e responsabilidade: anais. Natal: Sociedade Brasileira de Fruticultura$c2010 300 $a4 p. 500 $aREsumo expandido. 520 $aO mercado de morangos necessita de produção precoce e em períodos de entressafra e uma das formas de conseguir suprir essa demanda é através do cultivo sem solo em ambiente protegido no qual, pode-se antecipar o início da colheita e ainda incrementar o rendimento por área (Calvete et al., 2007). 650 $aCultivo protegido 650 $aFisiologia vegetal 650 $aFruticultura 650 $aMorango 650 $aSubstrato de cultura 700 1 $aCALVETE, E. O. 700 1 $aCHAVARRIA, G. 700 1 $aMENDONÇA, H. C. F. 700 1 $aSCHULZ, T. 700 1 $aSANTOS, H. P. dos
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Embrapa Uva e Vinho (CNPUV) |
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| Acesso ao texto completo restrito à biblioteca da Embrapa Recursos Genéticos e Biotecnologia. Para informações adicionais entre em contato com cenargen.biblioteca@embrapa.br. |
Registro Completo
Biblioteca(s): |
Embrapa Caprinos e Ovinos; Embrapa Meio-Norte; Embrapa Pantanal; Embrapa Pecuária Sul; Embrapa Recursos Genéticos e Biotecnologia; Embrapa Tabuleiros Costeiros. |
Data corrente: |
21/09/2020 |
Data da última atualização: |
17/11/2020 |
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.; 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 BRAGA; 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. |
Thesagro: |
Ovelha; Polimorfismo Genético. |
Thesaurus NAL: |
Brazil; Genetic polymorphism; Germplasm conservation; Sampling; Sheep; Sheep breeds; Single nucleotide polymorphism. |
Categoria do assunto: |
G Melhoramento Genético |
Marc: |
LEADER 02852naa a2200457 a 4500 001 2126661 005 2020-11-17 008 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 650 $aOvelha 650 $aPolimorfismo Genético 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. 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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