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 | Acesso ao texto completo restrito à biblioteca da Embrapa Gado de Leite. Para informações adicionais entre em contato com cnpgl.biblioteca@embrapa.br. |
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Registro Completo |
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Biblioteca(s): |
Embrapa Gado de Leite. |
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Data corrente: |
17/08/2021 |
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Data da última atualização: |
17/08/2021 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Autoria: |
COSTA, N. S. da; SILVA, M. V. G. B.; PANETTO, J. C. do C.; MACHADO, M. A.; SEIXAS, L.; PERIPOLLI, V.; GUIMARÃES, R. F.; CARVALHO JUNIOR, O. A.; VIEIRA, R. A.; MCMANUS, C. |
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Afiliação: |
NATHALIA SILVA DA COSTA, Universidade de Brasília; MARCOS VINICIUS GUALBERTO B SILVA, CNPGL; JOAO CLAUDIO DO CARMO PANETTO, CNPGL; MARCO ANTONIO MACHADO, CNPGL; LUIZA SEIXAS, Universidade de Brasília; VANESSA PERIPOLLI, Instituto Federal Catarinense; RENATO FONTES GUIMARÃES, Universidade de Brasília; OSMAR ABILIO CARVALHO JUNIOR, Universidade de Brasília; RENATA AUGUSTO VIEIRA, Universidade de Brasília; CONCEPTA MCMANUS, Universidade de Brasília. |
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Título: |
Spatial dynamics of the Girolando breed in Brazil: analysis of genetic integration and environmental factors. |
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Ano de publicação: |
2020 |
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Fonte/Imprenta: |
Tropical Animal Health and Production, v. 52, p. 3869-3883, 2020. |
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DOI: |
https://doi.org/10.1007/s11250-020-02426-z |
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Idioma: |
Inglês |
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Conteúdo: |
Brazil is one of the world?s largest milk producers. Several scientific studies have been developed related to landscape analyses that combine genetic with landscape structure data. In the present study, we aimed to analyze the relationship between genetic, environmental, and socioeconomic aspects of production in Girolando cattle in Brazil, as well as verify the spatial patterns of its genetic diversity. Genetic values and accuracy of 46,289 animals were used as well as information from DNA of 310 Girolando animals. Canonic, discriminant, and cluster analyses were conducted in SAS® and K-means method in ArcGIS 10.3 software. The relationship between genetic and geographic distance was analyzed using different methods in software Alleles in Space®. Clusters with animals with higher genetic values for milk production are located in municipalities with lower gross domestic product, fewer family-based establishments, and lower human development index. These clusters are associated with regions with higher area planted with crops, lower percentage of pastures that were less degraded, higher humidity, lower temperature range, and lower normalized difference vegetation index (NDVI) values. The greater the geographical distance between groups of animals, the greater the genetic distance between them with a significant distinction over 504 km. There is high genetic heterogeneity among animals. From these results, it will be possible to develop methodologies for better evaluation of the animals within the production systems. MenosBrazil is one of the world?s largest milk producers. Several scientific studies have been developed related to landscape analyses that combine genetic with landscape structure data. In the present study, we aimed to analyze the relationship between genetic, environmental, and socioeconomic aspects of production in Girolando cattle in Brazil, as well as verify the spatial patterns of its genetic diversity. Genetic values and accuracy of 46,289 animals were used as well as information from DNA of 310 Girolando animals. Canonic, discriminant, and cluster analyses were conducted in SAS® and K-means method in ArcGIS 10.3 software. The relationship between genetic and geographic distance was analyzed using different methods in software Alleles in Space®. Clusters with animals with higher genetic values for milk production are located in municipalities with lower gross domestic product, fewer family-based establishments, and lower human development index. These clusters are associated with regions with higher area planted with crops, lower percentage of pastures that were less degraded, higher humidity, lower temperature range, and lower normalized difference vegetation index (NDVI) values. The greater the geographical distance between groups of animals, the greater the genetic distance between them with a significant distinction over 504 km. There is high genetic heterogeneity among animals. From these results, it will be possible to develop methodologies for better evaluation of ... Mostrar Tudo |
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Palavras-Chave: |
Environmental characteristics; Gado Girolando; Genetic analysis; Genetic landscape; Geographic analysis. |
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Thesagro: |
Bovino; Genética Animal. |
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Categoria do assunto: |
L Ciência Animal e Produtos de Origem Animal |
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Marc: |
LEADER 02557naa a2200325 a 4500
001 2133650
005 2021-08-17
008 2020 bl uuuu u00u1 u #d
024 7 $ahttps://doi.org/10.1007/s11250-020-02426-z$2DOI
100 1 $aCOSTA, N. S. da
245 $aSpatial dynamics of the Girolando breed in Brazil$banalysis of genetic integration and environmental factors.$h[electronic resource]
260 $c2020
520 $aBrazil is one of the world?s largest milk producers. Several scientific studies have been developed related to landscape analyses that combine genetic with landscape structure data. In the present study, we aimed to analyze the relationship between genetic, environmental, and socioeconomic aspects of production in Girolando cattle in Brazil, as well as verify the spatial patterns of its genetic diversity. Genetic values and accuracy of 46,289 animals were used as well as information from DNA of 310 Girolando animals. Canonic, discriminant, and cluster analyses were conducted in SAS® and K-means method in ArcGIS 10.3 software. The relationship between genetic and geographic distance was analyzed using different methods in software Alleles in Space®. Clusters with animals with higher genetic values for milk production are located in municipalities with lower gross domestic product, fewer family-based establishments, and lower human development index. These clusters are associated with regions with higher area planted with crops, lower percentage of pastures that were less degraded, higher humidity, lower temperature range, and lower normalized difference vegetation index (NDVI) values. The greater the geographical distance between groups of animals, the greater the genetic distance between them with a significant distinction over 504 km. There is high genetic heterogeneity among animals. From these results, it will be possible to develop methodologies for better evaluation of the animals within the production systems.
650 $aBovino
650 $aGenética Animal
653 $aEnvironmental characteristics
653 $aGado Girolando
653 $aGenetic analysis
653 $aGenetic landscape
653 $aGeographic analysis
700 1 $aSILVA, M. V. G. B.
700 1 $aPANETTO, J. C. do C.
700 1 $aMACHADO, M. A.
700 1 $aSEIXAS, L.
700 1 $aPERIPOLLI, V.
700 1 $aGUIMARÃES, R. F.
700 1 $aCARVALHO JUNIOR, O. A.
700 1 $aVIEIRA, R. A.
700 1 $aMCMANUS, C.
773 $tTropical Animal Health and Production$gv. 52, p. 3869-3883, 2020.
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Registro original: |
Embrapa Gado de Leite (CNPGL) |
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Biblioteca |
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Origem |
Tipo/Formato |
Classificação |
Cutter |
Registro |
Volume |
Status |
URL |
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| Acesso ao texto completo restrito à biblioteca da Embrapa Amazônia Oriental. Para informações adicionais entre em contato com cpatu.biblioteca@embrapa.br. |
Registro Completo
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Biblioteca(s): |
Embrapa Amazônia Oriental. |
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Data corrente: |
05/05/2014 |
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Data da última atualização: |
19/10/2022 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Circulação/Nível: |
A - 1 |
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Autoria: |
BAKER, T. R.; PENNINGTON, R. T.; MAGALLON, S.; GLOOR, E.; LAURANCE, W. F.; ALEXIADES, M.; ALVAREZ, E.; ARAUJO, A.; ARETS, E. J. M. M.; AYMARD, G.; OLIVEIRA, A. A. de; AMARAL, I.; ARROYO, L.; BONAL, D.; BRIENEN, R. J. W.; CHAVE, J.; DEXTER, K. G.; DI FIORE, A.; ELER, E.; FELDPAUSCH, T. R.; FERREIRA, L.; LOPEZ-GONZALEZ, G.; HEIJDEN, G. van der; HOGUCHI, N.; HONORIO, E.; HUAMANTUPA, I.; KILLEEN, T. J.; LAURANCE, S.; LEAÑO, C.; LEWIS, S. L.; MALHI, Y.; MARIMON, B. S.; MARIMON JUNIOR, B. H.; MONTEAGUDO MENDOZA, A.; NEILL, D.; PEÑUELA-MORA, M. C.; PITMAN, N.; PRIETO, A.; QUESADA, C. A.; RAMÍREZ, F.; RAMÍREZ ANGULO, H.; RUDAS, A.; RUSCHEL, A. R.; SALOMÃO, R. P.; ANDRADE, A. S. de; SILVA, J. N. M.; SILVEIRA, M.; SIMON, M. F.; SPIRONELLO, W.; STEEGE, H. ter; TERBORGH, J.; TOLEDO, M.; TORRES-LEZAMA, A.; VASQUEZ, R.; VIEIRA, I. C. G.; VILANOVA, E.; VOS, V. A.; PHILLIPS, O. L. |
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Afiliação: |
TIMOTHY R. BAKER, University of Leeds; R. TOBY PENNINGTON, Royal Botanic Garden Edinburgh; SUSANA MAGALLON, Universidad Nacional Autónoma de México; EMANUEL GLOOR, University of Leeds; WILLIAM F. LAURANCE, Centre for Tropical Environmental and Sustainability Science (TESS) and School of Marine and Tropical Biology, James Cook University; MIGUEL ALEXIADES, University of Kent; ESTEBAN ALVAREZ, Universidad del Tolima; ALEJANDRO ARAUJO, Museo de Historia Natural Noel Kempff Mercado; ERIC J. M. M. ARETS, Wageningen University and Research Centre; GERARDO AYMARD, Herbario Universitario PORT; ATILA ALVES DE OLIVEIRA, Projeto TEAM - Manaus, Instituto Nacional de Pesquisas da Amazônia; IÊDA AMARAL, Projeto TEAM - Manaus, Instituto Nacional de Pesquisas da Amazônia; LUZMILA ARROYO, Museo de Historia Natural Noel Kempff Mercado; DAMIEN BONAL, INRA-Université de Lorraine; ROEL J. W. BRIENEN, University of Leeds; JEROME CHAVE, CNRS and Université Paul Sabatier; KYLE G. DEXTER, Royal Botanic Garden Edinburgh / University of Edinburgh; ANTHONY DI FIORE, University of Texas at Austin; EDUARDO ELER, Projeto TEAM - Manaus, Instituto Nacional de Pesquisas da Amazônia; TED R. FELDPAUSCH, University of Leeds; LEANDRO FERREIRA, MPEG; GABRIELA LOPEZ-GONZALEZ, University of Leeds; GEERTJE VAN DER HEIJDEN, University of Wisconsin-Milwaukee / Smithsonian Tropical Research Institute; NIRO HIGUCHI, INPA; EURÍDICE HONORIO, University of Leeds / Instituto de Investigaciónes de la Amazonía Peruana; ISAU HUAMANTUPA, Herbario CUZ, Universidad Nacional San Antonio Abad del Cusco; TIM J. KILLEEN, Conservation International; SUSAN LAURANCE, Centre for Tropical Environmental and Sustainability Science (TESS) and School of Marine and Tropical Biology, James Cook University; CLAUDIO LEAÑO, Instituto Boliviano de Investigación Forestal; SIMON L. LEWIS, University of Leeds / University College London; YADVINDER MALHI, University of Oxford; BEATRIZ SCHWANTES MARIMON, Universidade do Estado de Mato Grosso - Campus de Nova Xavantina; BEN HUR MARIMON JUNIOR, Universidade do Estado de Mato Grosso - Campus de Nova Xavantina; ABEL MONTEAGUDO MENDOZA, Jardín Botanico de Missouri; DAVID NEILL, Universidad Estatal Amazónica; MARIA CRISTINA PEÑUELA-MORA, Universidad Nacional de Colombia; NIGEL PITMAN, Duke University; ADRIANA PRIETO, Instituto de Ciencias Naturales, UNAL; CARLOS A. QUESADA, INPA; FREDY RAMÍREZ, Universidad Nacional de la Amazonía Peruana; HIRMA RAMÍREZ ANGULO, INDEFOR, Universidad de los Andes; AGUSTIN RUDAS, Instituto de Ciencias Naturales, UNAL; ADEMIR ROBERTO RUSCHEL, CPATU; RAFAEL P. SALOMÃO, MPEG; ANA SEGALIN DE ANDRADE, PDBFF, Instituto Nacional de Pesquisas da Amazônia; JOSÉ NATALINO MACEDO SILVA, UFRA / Instituto Floresta Tropical; MARCOS SILVEIRA, Universidade Federal do Acre; MARCELO FRAGOMENI SIMON, CENARGEN; WILSON SPIRONELLO, Projeto TEAM - Manaus, Instituto Nacional de Pesquisas da Amazônia; HANS TER STEEGE, Naturalis Biodiversity Center / Utrecht University; JOHN TERBORGH, Duke University; MARISOL TOLEDO, stituto Boliviano de Investigación Forestal; ARMANDO TORRES-LEZAMA, INDEFOR, Universidad de los Andes; RODOLFO VASQUEZ, Jardín Botanico de Missouri; IMA CÉLIA GUIMARÃES VIEIRA, MPEG; EMILIO VILANOVA, INDEFOR, Universidad de los Andes; VINCENT A. VOS, Universidad Autónoma del Beni; OLIVER L. PHILLIPS, University of Leeds. |
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Título: |
Fast demographic traits promote high diversification rates of Amazonian trees. |
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Ano de publicação: |
2014 |
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Fonte/Imprenta: |
Ecology Letters, v. 17, n. 5, p. 527-536, May 2014. |
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DOI: |
10.1111/ele.12252 |
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Idioma: |
Inglês |
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Conteúdo: |
The Amazon rain forest sustains the world's highest tree diversity, but it remains unclear why some clades of trees are hyperdiverse, whereas others are not. Using dated phylogenies, estimates of current species richness and trait and demographic data from a large network of forest plots, we show that fast demographic traits ? short turnover times ? are associated with high diversification rates across 51 clades of canopy trees. This relationship is robust to assuming that diversification rates are either constant or decline over time, and occurs in a wide range of Neotropical tree lineages. This finding reveals the crucial role of intrinsic, ecological variation among clades for understanding the origin of the remarkable diversity of Amazonian trees and forests. |
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Palavras-Chave: |
Diversidade; Floresta amazônica; Tempo de geração. |
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Thesagro: |
Árvore. |
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Categoria do assunto: |
K Ciência Florestal e Produtos de Origem Vegetal |
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Marc: |
LEADER 03035naa a2200865 a 4500
001 1985543
005 2022-10-19
008 2014 bl uuuu u00u1 u #d
024 7 $a10.1111/ele.12252$2DOI
100 1 $aBAKER, T. R.
245 $aFast demographic traits promote high diversification rates of Amazonian trees.$h[electronic resource]
260 $c2014
520 $aThe Amazon rain forest sustains the world's highest tree diversity, but it remains unclear why some clades of trees are hyperdiverse, whereas others are not. Using dated phylogenies, estimates of current species richness and trait and demographic data from a large network of forest plots, we show that fast demographic traits ? short turnover times ? are associated with high diversification rates across 51 clades of canopy trees. This relationship is robust to assuming that diversification rates are either constant or decline over time, and occurs in a wide range of Neotropical tree lineages. This finding reveals the crucial role of intrinsic, ecological variation among clades for understanding the origin of the remarkable diversity of Amazonian trees and forests.
650 $aÁrvore
653 $aDiversidade
653 $aFloresta amazônica
653 $aTempo de geração
700 1 $aPENNINGTON, R. T.
700 1 $aMAGALLON, S.
700 1 $aGLOOR, E.
700 1 $aLAURANCE, W. F.
700 1 $aALEXIADES, M.
700 1 $aALVAREZ, E.
700 1 $aARAUJO, A.
700 1 $aARETS, E. J. M. M.
700 1 $aAYMARD, G.
700 1 $aOLIVEIRA, A. A. de
700 1 $aAMARAL, I.
700 1 $aARROYO, L.
700 1 $aBONAL, D.
700 1 $aBRIENEN, R. J. W.
700 1 $aCHAVE, J.
700 1 $aDEXTER, K. G.
700 1 $aDI FIORE, A.
700 1 $aELER, E.
700 1 $aFELDPAUSCH, T. R.
700 1 $aFERREIRA, L.
700 1 $aLOPEZ-GONZALEZ, G.
700 1 $aHEIJDEN, G. van der
700 1 $aHOGUCHI, N.
700 1 $aHONORIO, E.
700 1 $aHUAMANTUPA, I.
700 1 $aKILLEEN, T. J.
700 1 $aLAURANCE, S.
700 1 $aLEAÑO, C.
700 1 $aLEWIS, S. L.
700 1 $aMALHI, Y.
700 1 $aMARIMON, B. S.
700 1 $aMARIMON JUNIOR, B. H.
700 1 $aMONTEAGUDO MENDOZA, A.
700 1 $aNEILL, D.
700 1 $aPEÑUELA-MORA, M. C.
700 1 $aPITMAN, N.
700 1 $aPRIETO, A.
700 1 $aQUESADA, C. A.
700 1 $aRAMÍREZ, F.
700 1 $aRAMÍREZ ANGULO, H.
700 1 $aRUDAS, A.
700 1 $aRUSCHEL, A. R.
700 1 $aSALOMÃO, R. P.
700 1 $aANDRADE, A. S. de
700 1 $aSILVA, J. N. M.
700 1 $aSILVEIRA, M.
700 1 $aSIMON, M. F.
700 1 $aSPIRONELLO, W.
700 1 $aSTEEGE, H. ter
700 1 $aTERBORGH, J.
700 1 $aTOLEDO, M.
700 1 $aTORRES-LEZAMA, A.
700 1 $aVASQUEZ, R.
700 1 $aVIEIRA, I. C. G.
700 1 $aVILANOVA, E.
700 1 $aVOS, V. A.
700 1 $aPHILLIPS, O. L.
773 $tEcology Letters$gv. 17, n. 5, p. 527-536, May 2014.
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