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Biblioteca(s):  Embrapa Cocais.
Data corrente:  03/06/2014
Data da última atualização:  03/06/2014
Tipo da produção científica:  Resumo em Anais de Congresso
Autoria:  ALVES-PEREIRA, A.; PERONI, N.; CAVALLARI, M. M.; PINHEIRO, J. B.; LEMES, M. R.; CLEMENT, C. R.; ZUCCHI, M. I.
Afiliação:  ALESSANDRO ALVES-PEREIRA, INPA; NIVALDO PERONI, UFSC; MARCELO MATTOS CAVALLARI, CPACP; JOSÉ BALDIN PINHEIRO, ESALQ/USP; MARISTERRA R. LEMES, INPA; CHARLES R. CLEMENT, INPA; MARIA IMACULADA ZUCCHI, APTA SP.
Título:  High genetic diversity within and among bitter cassava cultivated in three soil types in Central Amazonia.
Ano de publicação:  2014
Fonte/Imprenta:  In: CONFERENCE INTERNATIONAL PLANT & ANIMAL GENOME, 22., 2014, San Diego, CA. The largest ag-genomics meeting in the world.
Páginas:  1 p.
Descrição Física:  Resumo.
Idioma:  Inglês
Conteúdo:  Bitter cassava is an important food crop that was domesticated in Amazonia. Although it is exclusively propagated by stem cuttings, cassava retained its ability of sexual reproduction. The occurrence and incorporation of sexual plants into the stock of clonal varieties contributes to the high genetic diversity observed within the crop. Despite being well adapted to nutrient deprived soils of Amazonia, ethnobotanical observations showed that communities of smallholder farmers along the middle Madeira River, in Central Amazonia, also cultivate cassava in the highly fertile soils of the floodplains and Amazonian dark earths (ADE). These farmers grow different sets of varieties in each soil type, which may also contribute to the maintenance of high levels of genetic diversity within the crop. We evaluated with 10 nuclear microsatellite markers the genetic diversity within and among some of the most commonly cultivated bitter cassava varieties grown on ADE, floodplain and Oxisols soils in the middle Madeira region. High levels of genetic diversity within varieties were observed (HO ranging from 0.495 to 0.707, and HE ranging from 0.250 to 0.460). Additionally, varieties were generally highly differentiated from each other. Although high levels of genetic diversity were previously observed in studies carried out in regions of low soil fertility in other parts of Amazonia, we identified that management of different soil types is important to the maintenance of genetically distinct ... Mostrar Tudo
Palavras-Chave:  Bitter cassava; Diversidade genética.
Thesagro:  Mandioca; Reprodução.
Thesaurus Nal:  Amazonia; Cassava.
Categoria do assunto:  F Plantas e Produtos de Origem Vegetal
URL:  https://ainfo.cnptia.embrapa.br/digital/bitstream/item/103009/1/Resumo-Marcelo-cavallari.pdf
https://pag.confex.com/pag/xxii/webprogram/Paper12157.html
Marc:  Mostrar Marc Completo
Registro original:  Embrapa Cocais (CPACP)
Biblioteca ID Origem Tipo/Formato Classificação Cutter Registro Volume Status URL
CPACP1097 - 1UPCRA - DD664.23A474h2014.00560
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Biblioteca(s):  Embrapa Meio Ambiente; Embrapa Recursos Genéticos e Biotecnologia.
Data corrente:  08/01/2024
Data da última atualização:  08/01/2024
Tipo da produção científica:  Artigo em Anais de Congresso
Autoria:  ALBUQUERQUE, R. W.; VIEIRA, D. L. M.; VICENTE, L. E.; ARAUJO, L. S. de; FERREIRA, M. E.; GROHMANN, C. H.
Afiliação:  RAFAEL WALTER ALBUQUERQUE, UNIVERSIDADE DE SÃO PAULO; DANIEL LUIS MASCIA VIEIRA, Cenargen; LUIZ EDUARDO VICENTE, CNPMA; LUCIANA SPINELLI DE ARAUJO, CNPMA; MANUEL EDUARDO FERREIRA, UNIVERSIDADE FEDERAL DE GOIÁS; CARLOS HENRIQUE GROHMANN, UNIVERSIDADE DE SÃO PAULO.
Título:  Comparing forest restoration canopy cover measurements using RGB and multispectral sensors onboard drones.
Ano de publicação:  2023
Fonte/Imprenta:  In: SIMPÓSIO BRASILEIRO DE SENSORIAMENTO REMOTO, 20., 2023, Florianópolis. Anais [...]. São José dos Campos: Instituto Nacional de Pesquisas Espaciais, 2023. Ref. 155275.
Páginas:  p. 53-56.
Idioma:  Português
Conteúdo:  Abstract: Remotely Piloted Aircrafts (RPA) coupled with Red-Green-Blue (RGB) sensors have a high potential to monitor Forest Restoration (FR), but multispectral sensors onboard RPA are more expensive and still demand more studies when applied to FR monitoring. This work aims to compare an RGB and a multispectral sensor capacity to measure the canopy cover of a FR project. Four canopy cover methods were evaluated using: the point cloud data generated by the RGB sensor; a vegetation index for RGB sensors; the Normalized Difference Vegetation Index (NDVI); and the Near Infra-Red band (Nir) only. The point cloud data method was the most accurate and the only one that presented all accuracies greater than 0.9. However, the multispectral sensor presented more potential for scientific research because it seems to be capable of detecting different photosynthetic activities on the trees and, consequently, different responses to FR treatments, which should be confirmed by future studies.
Palavras-Chave:  Forest Restoration Monitoring; Infra-Red; Red-Green-Blue; Remotely Piloted Aircrafts; Unmanned Aerial Vehicle.
Thesagro:  Reflorestamento.
Thesaurus NAL:  Environmental monitoring; Forest restoration; Remote sensing.
Categoria do assunto:  X Pesquisa, Tecnologia e Engenharia
URL:  https://ainfo.cnptia.embrapa.br/digital/bitstream/doc/1160538/1/Vicente-Comparing-forest-2023.pdf
https://ainfo.cnptia.embrapa.br/digital/bitstream/doc/1160750/1/ACFrOgBLExK7popwKZHKzuUTNqkbX8kMp1HovKaaEzTXSixyscvPk2XHYX-dveSCNBWu4LRu7-BrCbyoV2pFqOZ4xc-rdoiIpBJbMXbpb4NcY3QOmBAlCpVTW2-oP16P4ltXdOxtl-iDtEdjXOtZ.pdf
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Registro original:  Embrapa Meio Ambiente (CNPMA)
Biblioteca ID Origem Tipo/Formato Classificação Cutter Registro Volume Status
CENARGEN39353 - 1UPCAA - DD
CNPMA17543 - 1UPCAA - DD
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