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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 |
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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Registro original: |
Embrapa Roraima (CPAF-RR) |
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Biblioteca(s): |
Embrapa Pecuária Sudeste. |
Data corrente: |
03/08/1993 |
Data da última atualização: |
25/05/2017 |
Autoria: |
FREITAS, A. R. de. |
Afiliação: |
ALFREDO RIBEIRO DE FREITAS, PESQUISADOR - EMBRAPA/UEPAE DE SÃO CARLOS, SP. |
Título: |
A distribuição do ponto de máximo ou de mínimo de uma função usada em experimentos de adubação. |
Ano de publicação: |
1978 |
Fonte/Imprenta: |
Piracicaba: Escola Superior de Agricultura Luiz de Queiroz, 1978. |
Páginas: |
81p. |
Idioma: |
Português |
Notas: |
Tese Mestrado. |
Conteúdo: |
Desenvolvimento teorico: estimatica do parametros e suas respectivas variancias e covariancias. Revisao de Literatura: Obtencao de producoes maximas; estudos da distribuicao de um quociente; estimativas da variancia do ponto de maximo ou de minimo; Testes de assimetria e curtose; teste de assimetria; teste de curtose; intervalos de confianca; simulacao de dados. |
Palavras-Chave: |
Adubation; Análise de covariancia; Análise de variância; Analysis of covariance; Distribuicao; Distribuition; Distribution; Experiment; Experimento; Experimentos; Fertilization; Funcao; Mathematical; Ponto de maximo; Ponto de Minimo; Solos; Teste de assimetria; Teste de curtose; Variancia. |
Thesagro: |
Adubação; Estatística; Matemática. |
Thesaurus NAL: |
statistics. |
Categoria do assunto: |
-- |
URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/CPPSE/894/1/FreitasARTS333.pdf
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Marc: |
LEADER 01480nam a2200409 a 4500 001 1032805 005 2017-05-25 008 1978 bl uuuu m 00u1 u #d 100 1 $aFREITAS, A. R. de 245 $aA distribuição do ponto de máximo ou de mínimo de uma função usada em experimentos de adubação. 260 $aPiracicaba: Escola Superior de Agricultura Luiz de Queiroz$c1978 300 $a81p. 500 $aTese Mestrado. 520 $aDesenvolvimento teorico: estimatica do parametros e suas respectivas variancias e covariancias. Revisao de Literatura: Obtencao de producoes maximas; estudos da distribuicao de um quociente; estimativas da variancia do ponto de maximo ou de minimo; Testes de assimetria e curtose; teste de assimetria; teste de curtose; intervalos de confianca; simulacao de dados. 650 $astatistics 650 $aAdubação 650 $aEstatística 650 $aMatemática 653 $aAdubation 653 $aAnálise de covariancia 653 $aAnálise de variância 653 $aAnalysis of covariance 653 $aDistribuicao 653 $aDistribuition 653 $aDistribution 653 $aExperiment 653 $aExperimento 653 $aExperimentos 653 $aFertilization 653 $aFuncao 653 $aMathematical 653 $aPonto de maximo 653 $aPonto de Minimo 653 $aSolos 653 $aTeste de assimetria 653 $aTeste de curtose 653 $aVariancia
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