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Registro Completo |
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Biblioteca(s): |
Embrapa Agrossilvipastoril. |
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Data corrente: |
24/10/2019 |
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Data da última atualização: |
24/10/2019 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Autoria: |
OLER, J. R. L.; HOOGERHEIDE, E. S. S.; PINTO, J. M. A.; TIAGO, A. V.; SILVA, J. F. V.; VEASEY, E. ANN. |
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Afiliação: |
JULIANA RODRIGUES LARROSA OLER, UNESP, Rio Claro, SP; EULALIA SOLER SOBREIRA HOOGERHEIDE, CPAMT; JOYCE MENDES ANDRADE PINTO, CPAMT; AUANA VICENTE TIAGO, UNEMAT, Alta Floresta, MT; JOAO FLAVIO VELOSO SILVA, CNAT; ELIZABETH ANN VEASEY, ESALQ, USP, Piracicaba, SP. |
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Título: |
Influence of the use of manioc on its genetic diversity conservation in a quilombo community in Mato Grosso, Brazil. |
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Ano de publicação: |
2019 |
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Fonte/Imprenta: |
Genetics and Molecular Research, v. 18, n. 3, gmr18326, 2019. |
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Idioma: |
Inglês |
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Conteúdo: |
Local cassava varieties play an important role in food security and the autonomy of subsistence farmers. They can be important resources for breeding and conservation programs. We examined the genetic diversity of cassava through ethnobotanical knowledge and microsatellite markers to understand the dynamics of conservation and management of the varieties used local small-scale farmers of a rural quilombo (a slave-descendant community) in Mato Grosso, Brazil. To obtain ethnobotanical information, semi-structured interviews were applied to 10 family units who cultivated cassava. Each family cultivated from one to five varieties, with 2.3 ± 1.16 varieties/farmer, on average. Genetic analysis was was made of the 11 local varieties with microsatellite markers (12 loci). Despite low ethnobotanical diversity (H' = 2.05), high genetic diversity was found (Na = 6.75, HO = 0.92, HE = 0.75, on average) in these local varieties. These farmers, who derive their income mainly from cassava cultivation and flour production for the market, direct their variety choices to those that are most productive. Brava variety was the most frequent (found in eight family units) and was considered the most profitable for the production of flour Network analysis showed that propagule circulation and information occurs between the residents and also with other communities of the region, which are important sources of new varieties. Two farmers were identified as the most active in this network, showing potential as key elements for the circulation of propagating material. According to the cluster analysis using the genetic data, the most recently introduced varieties (Baixinha, Liberatona, Broto roxo, Mansa, Ramo branco, Carneiro and Cuiabana) are separated from those introduced a long time ago. The varieties pointed out as bitter by the farmers were also grouped together. The results showed the importance of traditional farmers in maintaining a high genetic diversity of manioc varieties, despite the directing of the choice of varieties to meet market needs. MenosLocal cassava varieties play an important role in food security and the autonomy of subsistence farmers. They can be important resources for breeding and conservation programs. We examined the genetic diversity of cassava through ethnobotanical knowledge and microsatellite markers to understand the dynamics of conservation and management of the varieties used local small-scale farmers of a rural quilombo (a slave-descendant community) in Mato Grosso, Brazil. To obtain ethnobotanical information, semi-structured interviews were applied to 10 family units who cultivated cassava. Each family cultivated from one to five varieties, with 2.3 ± 1.16 varieties/farmer, on average. Genetic analysis was was made of the 11 local varieties with microsatellite markers (12 loci). Despite low ethnobotanical diversity (H' = 2.05), high genetic diversity was found (Na = 6.75, HO = 0.92, HE = 0.75, on average) in these local varieties. These farmers, who derive their income mainly from cassava cultivation and flour production for the market, direct their variety choices to those that are most productive. Brava variety was the most frequent (found in eight family units) and was considered the most profitable for the production of flour Network analysis showed that propagule circulation and information occurs between the residents and also with other communities of the region, which are important sources of new varieties. Two farmers were identified as the most active in this network, showing po... Mostrar Tudo |
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Palavras-Chave: |
On-farm conservation. |
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Thesaurus Nal: |
Biodiversity; Ethnobotany. |
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Categoria do assunto: |
G Melhoramento Genético |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/203647/1/2019-cpamt-eulalia-hoogerheide-influence-use-manioc-genetic-diversity-quilombo-communit-mato-grosso.pdf
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Marc: |
LEADER 02745naa a2200217 a 4500
001 2113457
005 2019-10-24
008 2019 bl uuuu u00u1 u #d
100 1 $aOLER, J. R. L.
245 $aInfluence of the use of manioc on its genetic diversity conservation in a quilombo community in Mato Grosso, Brazil.$h[electronic resource]
260 $c2019
520 $aLocal cassava varieties play an important role in food security and the autonomy of subsistence farmers. They can be important resources for breeding and conservation programs. We examined the genetic diversity of cassava through ethnobotanical knowledge and microsatellite markers to understand the dynamics of conservation and management of the varieties used local small-scale farmers of a rural quilombo (a slave-descendant community) in Mato Grosso, Brazil. To obtain ethnobotanical information, semi-structured interviews were applied to 10 family units who cultivated cassava. Each family cultivated from one to five varieties, with 2.3 ± 1.16 varieties/farmer, on average. Genetic analysis was was made of the 11 local varieties with microsatellite markers (12 loci). Despite low ethnobotanical diversity (H' = 2.05), high genetic diversity was found (Na = 6.75, HO = 0.92, HE = 0.75, on average) in these local varieties. These farmers, who derive their income mainly from cassava cultivation and flour production for the market, direct their variety choices to those that are most productive. Brava variety was the most frequent (found in eight family units) and was considered the most profitable for the production of flour Network analysis showed that propagule circulation and information occurs between the residents and also with other communities of the region, which are important sources of new varieties. Two farmers were identified as the most active in this network, showing potential as key elements for the circulation of propagating material. According to the cluster analysis using the genetic data, the most recently introduced varieties (Baixinha, Liberatona, Broto roxo, Mansa, Ramo branco, Carneiro and Cuiabana) are separated from those introduced a long time ago. The varieties pointed out as bitter by the farmers were also grouped together. The results showed the importance of traditional farmers in maintaining a high genetic diversity of manioc varieties, despite the directing of the choice of varieties to meet market needs.
650 $aBiodiversity
650 $aEthnobotany
653 $aOn-farm conservation
700 1 $aHOOGERHEIDE, E. S. S.
700 1 $aPINTO, J. M. A.
700 1 $aTIAGO, A. V.
700 1 $aSILVA, J. F. V.
700 1 $aVEASEY, E. ANN
773 $tGenetics and Molecular Research$gv. 18, n. 3, gmr18326, 2019.
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Registro original: |
Embrapa Agrossilvipastoril (CPAMT) |
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Registro Completo
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Biblioteca(s): |
Embrapa Agricultura Digital. |
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Data corrente: |
06/05/2019 |
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Data da última atualização: |
21/01/2020 |
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Tipo da produção científica: |
Artigo em Anais de Congresso |
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Autoria: |
CAON, I. L.; BECKER, W. R.; GANASCINI, D.; CATTANI, C. E. V.; MENDES, I. de S.; PRUDENTE, V. H. R.; OLDONI, L. V.; ANTUNES, J. F. G.; MERCANTE, E. |
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Afiliação: |
IVÃ LUIS CAON, Unioeste; WILLYAN RONALDO BECKER, Unioeste; DIANDRA GANASCINI, Unioeste; CARLOS EDUARDO VIZZOTTO CATTANI, Unioeste; ISAQUE DE SOUZA MENDES, Unioeste; VICTOR HUGO ROHDEN PRUDENTE, Inpe; LUCAS VOLOCHEN OLDONI, Inpe; JOAO FRANCISCO GONCALVES ANTUNES, CNPTIA; ERIVELTO MERCANTE, Unioeste. |
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Título: |
Comparativo entre os classificadores RF e MAXVER, para classificação de uso e cobertura da terra, em diferentes densidades temporais. |
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Ano de publicação: |
2019 |
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Fonte/Imprenta: |
In: SIMPÓSIO BRASILEIRO DE SENSORIAMENTO REMOTO, 19., 2019, Santos. Anais... São José dos Campos: INPE, 2019. |
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Páginas: |
4 p. |
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ISBN: |
978-85-17-00097-3 |
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Idioma: |
Português |
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Notas: |
Editores: Douglas Francisco Marcolino Gherardi, Ieda Del?Arco Sanches, Luiz Eduardo Oliveira e Cruz de Aragão. SBSR 2019. |
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Conteúdo: |
RESUMO. O uso combinado de sensores com melhor resolução temporal com sensores de melhor resolução espacial, têm permitido o mapeamento detalhado da superfície terrestre. Desse modo destacam-se os algoritmos de predição, que são capazes de unir a melhor resolução espacial de um sensor a melhor resolução temporal de outro. Além das resoluções das imagens, o uso de algoritmos de classificação eficientes é decisivo para se obter elevada acurácia nos mapeamentos. Assim, o objetivo desse trabalho foi comparar os classificadores Random Forest e Máxima Verossimilhança, com diferentes modos de entrada de dados, a fim de definir qual o melhor classificador. Os resultados apontaram que o algoritmo Random Forest apresentou as maiores métricas de acurácia. |
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Palavras-Chave: |
Algoritmo Random Forest; Classificação de imagens; Cobertura da terra; Fusão de imagens; Image classification; Image fusion; STARFM. |
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Thesagro: |
Uso da Terra. |
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Thesaurus NAL: |
Land cover; Land use. |
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Categoria do assunto: |
X Pesquisa, Tecnologia e Engenharia |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/196958/1/PL-Comparativo-SBSR-2019.pdf
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Marc: |
LEADER 02019nam a2200361 a 4500
001 2108719
005 2020-01-21
008 2019 bl uuuu u00u1 u #d
020 $a978-85-17-00097-3
100 1 $aCAON, I. L.
245 $aComparativo entre os classificadores RF e MAXVER, para classificação de uso e cobertura da terra, em diferentes densidades temporais.$h[electronic resource]
260 $aIn: SIMPÓSIO BRASILEIRO DE SENSORIAMENTO REMOTO, 19., 2019, Santos. Anais... São José dos Campos: INPE$c2019
300 $a4 p.
500 $aEditores: Douglas Francisco Marcolino Gherardi, Ieda Del?Arco Sanches, Luiz Eduardo Oliveira e Cruz de Aragão. SBSR 2019.
520 $aRESUMO. O uso combinado de sensores com melhor resolução temporal com sensores de melhor resolução espacial, têm permitido o mapeamento detalhado da superfície terrestre. Desse modo destacam-se os algoritmos de predição, que são capazes de unir a melhor resolução espacial de um sensor a melhor resolução temporal de outro. Além das resoluções das imagens, o uso de algoritmos de classificação eficientes é decisivo para se obter elevada acurácia nos mapeamentos. Assim, o objetivo desse trabalho foi comparar os classificadores Random Forest e Máxima Verossimilhança, com diferentes modos de entrada de dados, a fim de definir qual o melhor classificador. Os resultados apontaram que o algoritmo Random Forest apresentou as maiores métricas de acurácia.
650 $aLand cover
650 $aLand use
650 $aUso da Terra
653 $aAlgoritmo Random Forest
653 $aClassificação de imagens
653 $aCobertura da terra
653 $aFusão de imagens
653 $aImage classification
653 $aImage fusion
653 $aSTARFM
700 1 $aBECKER, W. R.
700 1 $aGANASCINI, D.
700 1 $aCATTANI, C. E. V.
700 1 $aMENDES, I. de S.
700 1 $aPRUDENTE, V. H. R.
700 1 $aOLDONI, L. V.
700 1 $aANTUNES, J. F. G.
700 1 $aMERCANTE, E.
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Embrapa Agricultura Digital (CNPTIA) |
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