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18 results for “Scabrella”
Figura 10 in Morfometria de frutos e sementes e desenvolvimento pós-seminal de Mimosa scabrella
Figura 10. Caracterização morfológica de plântulas anormais de Mimosa scabrella. A. raiz primária atrofiada e raízes secundárias bem desenvolvidas. B. retorcida. C. retorcida em tamanho desproporcional, retorcida e afilada. D. retorcida e atrofiada. E. raiz principal retorcida e atrofiada com raiz secundárias retorcidas. F. hipocótilo não desenvolvido e raiz primária atrofiada. Barra = 1 cm
Figura 7 in Morfometria de frutos e sementes e desenvolvimento pós-seminal de Mimosa scabrella
Figura 7. Embebição e germinação das sementes de Mimosa scabrella. A. semente desidratada ao lado de uma semente intumescida. B. protrusão radicular a 2 mm. Barra = 2 mm.
Figura 4 in Morfometria de frutos e sementes e desenvolvimento pós-seminal de Mimosa scabrella
Figura 4. Vista interna das sementes de Mimosa scabrella. A. embrião. B. detalhamento do eixo embrionário. C. detalhamento em secção transversal. D. detalhamento em secção longitudinal. Legenda: co = cotilédoles, en = endosperma vítreo, ex = eixo embrionário, pl = plúmula, rd = radícula, te = tegumento. Barra = 1 mm.
Figura 9 in Morfometria de frutos e sementes e desenvolvimento pós-seminal de Mimosa scabrella
Figura 9. Caracterização morfológica da plântula de Mimosa scabrella. A. plântula normal. B. detalhamento dos cotilédones. C. detalhamento do coleto. Legenda: co = cotilédones, hp= hipocótilo, cl = coleto, rp = raiz primária. Barra = 1 cm (A), 5 mm (B), 2 mm (C).
Figura 6 in Morfometria de frutos e sementes e desenvolvimento pós-seminal de Mimosa scabrella
Figura 6. Frequência relativa de sementes de Mimosa scabrella sem danos, com danos por insetos, deformadas e com danos por fungos.
Figura 5 in Morfometria de frutos e sementes e desenvolvimento pós-seminal de Mimosa scabrella
Figura 5. Vista externa das sementes com danos de Mimosa scabrella. A. sementes com danos causados por insetos. B. sementes deformadas. C. sementes com danos causados por fungos. Barra = 2 mm.
Figura 3 in Morfometria de frutos e sementes e desenvolvimento pós-seminal de Mimosa scabrella
Figura 3. Vista externa das sementes maduras de Mimosa scabrella. A. diversidades de formatos das sementes. B. detalhamento morfológico externo. C. vista frontal da base da semente. Legenda: am = área da micrópila, hi = hilo, pc = porção chalazal, pl = pleurograma. Barra = 2 mm.
Figura 1. Vista externa e in Morfometria de frutos e sementes e desenvolvimento pós-seminal de Mimosa scabrella
Figura 1. Vista externa e interna do fruto de Mimosa scabrella. A. infrutescência com 4 frutos, B. frutos contendo de 1 a 6 artículos. C. fruto com artículos abertos. D. fruto aberto contendo uma semente por artículo e detalhe da moldura no fruto tipo lomento craspédio. Legenda: ar = artículos. Barra = 1 cm.
Figura 4 in Caracterização da madeira de Mimosa scabrella para seleção de árvores matrizes
Figura 4. Madeira de M. scabrella oriunda de Lages (33/13), Curitibanos (34/13), Santo Antônio do Palma (35/13). A. Curvas termogravimétricas (TGA); B. derivada da curva termogravimétrica (DTG)
Figura 3 in Caracterização da madeira de Mimosa scabrella para seleção de árvores matrizes
Figura 3. Espectros FTIR de madeira de oriunda de M. scabrella de três procedências. Sendo 33/13: Lages, 34/13: Curitibanos, 35/13: Santo Antônio do Palma.
Figura 2 in Caracterização da madeira de Mimosa scabrella para seleção de árvores matrizes
Figura 2. Morfologia no plano transversal de amostras de madeira de bracatinga oriundas de Lages, SC (33/13), Curitibanos, SC (34/13), Santo Antônio do Palma, RS (35/13). Em que setas indicam os poros da madeira em cada procedência.
Figure 2 in Production of Honeydew by Scale Insects Associated with Bracatinga (Mimosa scabrella Benth) in Serra Catarinense, Southern Brazil
Figure 2 Instantaneous volume available per drop of honeydew (µl) (bars) and sugar concentration (%) (line). Average values of the volume and concentration of sugars during the three evaluation years (Fig. A). Average values of honeydew volume and sugar concentration over the months of 2002 (Fig. B), 2003 (Fig. C) and 2004 (Fig. D). No evaluations were carried out in January, November and December 2002; January, February, April and November 2003; or March, November and December of 2004. Capital letters in bars and lower letters in lines refer to the mean test for the volume and concentration of honeydew sugars, respectively. Means followed by the same letter (uppercase or lowercase) indicate that the values do not differ significantly (SNK = 0.05).
Figure 1 in Production of Honeydew by Scale Insects Associated with Bracatinga (Mimosa scabrella Benth) in Serra Catarinense, Southern Brazil
Figure 1 Studied Bracatingal, Bom Retiro, SC,Brazil (A), bracatinga plant (Mimosa scabrella Benth.) (B), trunk of bracatinga infested by scale insects (C), and detail of trunk showing anal filaments of excretion of the scale insect (D and E). WF: wax filament; HD: honeydew drop. Photo: Maritza Martins.
Figura 8 in Morfometria de frutos e sementes e desenvolvimento pós-seminal de Mimosa scabrella
Figura 8. Germinação e desenvolvimento de Mimosa scabrella (1º ao 10º dia). Barra = 1 cm.
Figura 2 in Morfometria de frutos e sementes e desenvolvimento pós-seminal de Mimosa scabrella
Figura 2. Frequência relativa para número de artículos por fruto de Mimosa scabrella.
Figura 1 in Caracterização da madeira de Mimosa scabrella para seleção de árvores matrizes
Figura 1. Imagem ilustrativa da posição de corte das árvores selecionadas.
Walnut Gulch Experimental Watershed site, station Shrubs with grass vegetation zone in Walnut Gulch Watershed, study of plant cover of Mortonia scabrella (Rio Grande saddlebush) in units of percent on a yearly timescale
The EcoTrends project was established in 2004 by Dr. Debra Peters (Jornada Basin LTER, USDA-ARS Jornada Experimental Range) and Dr. Ariel Lugo (Luquillo LTER, USDA-FS Luquillo Experimental Forest) to support the collection and analysis of long-term ecological datasets. The project is a large synthesis effort focused on improving the accessibility and use of long-term data. At present, there are ~50 state and federally funded research sites that are participating and contributing to the EcoTrends project, including all 26 Long-Term Ecological Research (LTER) sites and sites funded by the USDA Agriculture Research Service (ARS), USDA Forest Service, US Department of Energy, US Geological Survey (USGS) and numerous universities. Data from the EcoTrends project are available through an exploratory web portal (http://www.ecotrends.info). This web portal enables the continuation of data compilation and accessibility by users through an interactive web application. Ongoing data compilation is updated through both manual and automatic processing as part of the LTER Provenance Aware Synthesis Tracking Architecture (PASTA). The web portal is a collaboration between the Jornada LTER and the LTER Network Office. The following dataset from Walnut Gulch Experimental Watershed (WGE) contains plant cover of Mortonia scabrella (Rio Grande saddlebush) measurements in percent units and were aggregated to a yearly timescale.
Walnut Gulch Experimental Watershed site, station Shrubs and sparse grass vegetation zone in Walnut Gulch Watershed, study of plant cover of Mortonia scabrella (Rio Grande saddlebush) in units of percent on a yearly timescale
The EcoTrends project was established in 2004 by Dr. Debra Peters (Jornada Basin LTER, USDA-ARS Jornada Experimental Range) and Dr. Ariel Lugo (Luquillo LTER, USDA-FS Luquillo Experimental Forest) to support the collection and analysis of long-term ecological datasets. The project is a large synthesis effort focused on improving the accessibility and use of long-term data. At present, there are ~50 state and federally funded research sites that are participating and contributing to the EcoTrends project, including all 26 Long-Term Ecological Research (LTER) sites and sites funded by the USDA Agriculture Research Service (ARS), USDA Forest Service, US Department of Energy, US Geological Survey (USGS) and numerous universities. Data from the EcoTrends project are available through an exploratory web portal (http://www.ecotrends.info). This web portal enables the continuation of data compilation and accessibility by users through an interactive web application. Ongoing data compilation is updated through both manual and automatic processing as part of the LTER Provenance Aware Synthesis Tracking Architecture (PASTA). The web portal is a collaboration between the Jornada LTER and the LTER Network Office. The following dataset from Walnut Gulch Experimental Watershed (WGE) contains plant cover of Mortonia scabrella (Rio Grande saddlebush) measurements in percent units and were aggregated to a yearly timescale.
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