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Biblioteca(s):  Embrapa Florestas.
Data corrente:  28/05/2013
Data da última atualização:  19/02/2015
Tipo da produção científica:  Artigo em Periódico Indexado
Autoria:  WENDLING, I.; BRONDANI, G. E.; BIASSIO, A. de; DUTRA, L. F.
Afiliação:  IVAR WENDLING, CNPF; GILVANO EBLING BRONDANI, UFMT; ADRIANA DE BIASSIO, UFPR; LEONARDO FERREIRA DUTRA, CPACT.
Título:  Vegetative propagation of adult Ilex paraguariensis trees through epicormic shoots.
Ano de publicação:  2013
Fonte/Imprenta:  Acta Scientiarum. Agronomy, Maringá, v. 35, n. 1, p. 117-125, jan./mar. 2013.
Idioma:  Inglês
Conteúdo:  The difficulty and length of time required for seed germination of mate (Ilex paraguariensis), as well as the pressing need for clonal multiplication of improved genetic material, has resulted in several studies related to vegetative propagation in an effort to obtain rooted cuttings more quickly and with better genetic quality. Currently, the biggest challenge is propagating and rooting adult plants selected in the field without requiring clear cutting to generate conditions for the basal induction of juvenile sprouts. Therefore, the objective of this study was to develop a method to rescue adult mate plants through the generation of epicormic sprouts. To accomplish this, tree branches of mate that were at least 19 years of age were collected and packed in trays with sand for sprouting. Different solutions containing a mixture of sucrose and indole-3-butyric acid (IBA) were sprayed in branches at 29, 22, 15, 8 and 1 day(s) before collection. We conclude that the vegetative propagation of adult mate trees is technically efficient and requires no treatment with sucrose or IBA and results in the formation of plants suitable for planting or serving as mother plants for continuous multiplication via cloning.
Palavras-Chave:  Erva-mate; Estaquia; Indução de brotação; Rizogênese.
Thesagro:  Clonagem; Ilex Paraguariensis; Propagação Vegetativa.
Categoria do assunto:  --
URL:  https://ainfo.cnptia.embrapa.br/digital/bitstream/item/83437/1/ivar-ASA-Vegetative.pdf
Marc:  Mostrar Marc Completo
Registro original:  Embrapa Florestas (CNPF)
Biblioteca ID Origem Tipo/Formato Classificação Cutter Registro Volume Status URL
CNPF50936 - 1UPCAP - DD
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Registro Completo

Biblioteca(s):  Embrapa Café.
Data corrente:  23/05/2022
Data da última atualização:  23/05/2022
Tipo da produção científica:  Artigo em Periódico Indexado
Circulação/Nível:  B - 2
Autoria:  SANTOS, L. M. dos; FERRAZ, G. A. e S.; MARIN, D. B.; CARVALHO, M. A. de F.; DIAS, J. E. L.; ALECRIM, A. de O.; SILVA, M. de L. O. e.
Afiliação:  LUANA MENDES DOS SANTOS, UFLA; GABRIEL ARAÚJO E SILVA FERRAZ, UFLA; DIEGO BEDIN MARIN, UFLA; MILENE ALVES DE FIGUEIREDO CARVALHO, CNPCa; JESSICA ELLEN LIMA DIAS, HUNGARIAN UNIVERSITY OF AGRICULTURE AND LIFE SCIENCES; ADEMILSON DE OLIVEIRA ALECRIM, UFLA; MIRIAN DE LOURDES OLIVEIRA E SILVA, UFLA.
Título:  Vegetation indices applied to suborbital multispectral images of healthy coffee and coffee infested with coffee leaf miner.
Ano de publicação:  2022
Fonte/Imprenta:  AgriEngineering, v. 4, n. 1, p. 311-319, Mar. 2022.
Idioma:  Inglês
Conteúdo:  The coffee leaf miner (Leucoptera coffeella) is a primary pest for coffee plants. The attack of this pest reduces the photosynthetic area of the leaves due to necrosis, causing premature leaf falling, decreasing the yield and the lifespan of the plant. Therefore, this study aims to analyze vegetation indices (VI) from images of healthy coffee leaves and those infested by coffee leaf miner, obtained using a multispectral camera, mainly to differentiate and detect infested areas. The study was conducted in two distinct locations: At a farm, where the camera was coupled to a remotely piloted aircraft (RPA) flying at a 3 m altitude from the soil surface; and the second location, in a greenhouse, where the images were obtained manually at a 0.5 m altitude from the support of the plant vessels, in which only healthy plants were located. For the image processing, arithmetic operations with the spectral bands were calculated using the ?Raster Calculator? obtaining the indices NormNIR, Normalized Difference Vegetation Index (NDVI), Green-Red NDVI (GRNDVI), and Green NDVI (GNDVI), the values of which on average for healthy leaves were: 0.66; 0.64; 0.32, and 0.55 and for infested leaves: 0.53; 0.41; 0.06, and 0.37 respectively. The analysis concluded that healthy leaves presented higher values of VIs when compared to infested leaves. The index GRNDVI was the one that better differentiated infested leaves from the healthy ones.
Palavras-Chave:  Agricultura digital.
Thesagro:  Agricultura de Precisão; Coffea Arábica; Sensoriamento Remoto.
Thesaurus NAL:  Precision agriculture; Remote sensing; Unmanned aerial vehicles.
Categoria do assunto:  --
URL:  https://ainfo.cnptia.embrapa.br/digital/bitstream/doc/1143380/1/Vegetation-Indices-Applied-2022.pdf
Marc:  Mostrar Marc Completo
Registro original:  Embrapa Café (CNPCa)
Biblioteca ID Origem Tipo/Formato Classificação Cutter Registro Volume Status
CNPCa - SAPC1605 - 1UPCAP - DD
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