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Registro Completo |
Biblioteca(s): |
Embrapa Cerrados. |
Data corrente: |
07/12/2015 |
Data da última atualização: |
07/12/2015 |
Tipo da produção científica: |
Artigo em Anais de Congresso |
Autoria: |
MEDEIROS, K. A. A. de L.; VASCONCELOS, G. C. L.; MEDEIROS, O. S.; LUCENA, A. M. A.; ARRIEL, N. H. C.; MELO, J. I. M. de. |
Afiliação: |
KATTY ANNE AMADOR DE LUCENA MEDEIROS, UEPB; GABRIELA CARLA LEITE VASCONCELOS, UEPB; OTONILSON SOUZA MEDEIROS, UEPB; AMANDA MICHELINE A. LUCENA, CNPA; NAIR HELENA CASTRO ARRIEL, CNPA; JOSE IRANILDO MIRANDA DE MELO, UEPB. |
Título: |
Caracterização morfológica de peças reprodutivas de acessos de pinhão manso do banco de germoplasma da EMPRABA Algodão. |
Ano de publicação: |
2010 |
Fonte/Imprenta: |
In: CONGRESSO DA REDE BRASILEIRA DE TECNOLOGIA DE BIODIESEL, 4.; CONGRESSO BRASILEIRO DE PLANTAS OLEAGINOSAS, ÓLEOS, GORDURAS E BIODIESEL, 7., 2010, Belo Horizonte. Biodiesel: inovação tecnológica e qualidade: anais. Lavras: UFLA, 2010. |
Volume: |
v. 1 |
Páginas: |
p. 361-362. |
Idioma: |
Português |
Conteúdo: |
Objetivou-se com o presente trabalho, a descrição morfológica das características de inflorescências e flores de Jatropha curcas L. encontradas no Banco de Germoplasma da Embrapa Algodão. |
Palavras-Chave: |
Pinhão manso. |
Thesagro: |
Banco de germoplasma; Características agronômicas; Inflorescência; Jatropha Curcas; Pinhão de purga. |
Thesaurus Nal: |
Agronomic traits; Gene banks; Inflorescences. |
Categoria do assunto: |
G Melhoramento Genético |
URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/135035/1/2412-25.pdf
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Marc: |
LEADER 01296nam a2200301 a 4500 001 2030872 005 2015-12-07 008 2010 bl uuuu u00u1 u #d 100 1 $aMEDEIROS, K. A. A. de L. 245 $aCaracterização morfológica de peças reprodutivas de acessos de pinhão manso do banco de germoplasma da EMPRABA Algodão. 260 $aIn: CONGRESSO DA REDE BRASILEIRA DE TECNOLOGIA DE BIODIESEL, 4.; CONGRESSO BRASILEIRO DE PLANTAS OLEAGINOSAS, ÓLEOS, GORDURAS E BIODIESEL, 7., 2010, Belo Horizonte. Biodiesel: inovação tecnológica e qualidade: anais. Lavras: UFLA$c2010 300 $ap. 361-362. v. 1 490 $vv. 1 520 $aObjetivou-se com o presente trabalho, a descrição morfológica das características de inflorescências e flores de Jatropha curcas L. encontradas no Banco de Germoplasma da Embrapa Algodão. 650 $aAgronomic traits 650 $aGene banks 650 $aInflorescences 650 $aBanco de germoplasma 650 $aCaracterísticas agronômicas 650 $aInflorescência 650 $aJatropha Curcas 650 $aPinhão de purga 653 $aPinhão manso 700 1 $aVASCONCELOS, G. C. L. 700 1 $aMEDEIROS, O. S. 700 1 $aLUCENA, A. M. A. 700 1 $aARRIEL, N. H. C. 700 1 $aMELO, J. I. M. de
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Embrapa Cerrados (CPAC) |
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Registro Completo
Biblioteca(s): |
Embrapa Semiárido. |
Data corrente: |
10/07/2019 |
Data da última atualização: |
31/10/2019 |
Tipo da produção científica: |
Artigo em Periódico Indexado |
Circulação/Nível: |
A - 2 |
Autoria: |
MEDEIROS, E. S. e S.; MACHADO, C. C. C.; GALVÍNCIO, J. D.; MOURA, M. S. B. de; ARAÚJO, H. F. P. de. |
Afiliação: |
Edna Samara e Silva Medeiros; Célia Cristina Clemente Machado; Josiclêda Domiciano Galvíncio; MAGNA SOELMA BESERRA DE MOURA, CPATSA; Helder Farias Pereira de Araujo. |
Título: |
Predicting plant species richness with satellite images in the largest dry forest nucleus in South America. |
Ano de publicação: |
2019 |
Fonte/Imprenta: |
Journal of Arid Environments, v. 166, p. 43-50, 2019. |
DOI: |
10.1016/j.jaridenv.2019.03.001 |
Idioma: |
Inglês |
Conteúdo: |
Biodiversity assessment is considered an important indicator of ecosystem health by various initiatives world-wide. Satellite remote sensing (SRS) has allowed the development of tools that can assist with the practicalsearch of information related to species richness. The aim of this study was to test whether Landsat satellitespectral variables could be used as indicators of plant species diversity in the Caatinga, the largest nucleus of dryforest in South America. To obtain plant diversity data (richness and Shannon's index), an exhaustive search ofplant phytosociological studies carried out in Caatinga was conducted. Pearson's correlation and PCA analysiswas used to test the association between spectral variables and plant diversity. Regressions were used to test themodels that best explain species richness. The results indicate that a positive correlation exists between richnessand the near-infrared (NIR) spectral band (r = 0.744; p < 0.001). This spectral band was also responsible forexplaining better the variation of leaf level reflectance among eight species that occur in the region (df = 7;F = 26317.55; p < 0.001). Therefore, the NIR band variable can be used as an indicator of species richnessusing power and quadratic regression models, because they were one of the bestfit association recorded betweenspectral variable and plant diversity index, when compared to other studies in natural environments. Thus, weprovide important information about biodiversity that can be used in different researches, from ecological modeling for theoretical approaches to practical applications in Caatinga. The potential use of Landsat satelliteimagery to estimate species richness makes biodiversity assessments easier and provides a continuous source ofdata for monitoring in Brazilian semiarid region MenosBiodiversity assessment is considered an important indicator of ecosystem health by various initiatives world-wide. Satellite remote sensing (SRS) has allowed the development of tools that can assist with the practicalsearch of information related to species richness. The aim of this study was to test whether Landsat satellitespectral variables could be used as indicators of plant species diversity in the Caatinga, the largest nucleus of dryforest in South America. To obtain plant diversity data (richness and Shannon's index), an exhaustive search ofplant phytosociological studies carried out in Caatinga was conducted. Pearson's correlation and PCA analysiswas used to test the association between spectral variables and plant diversity. Regressions were used to test themodels that best explain species richness. The results indicate that a positive correlation exists between richnessand the near-infrared (NIR) spectral band (r = 0.744; p < 0.001). This spectral band was also responsible forexplaining better the variation of leaf level reflectance among eight species that occur in the region (df = 7;F = 26317.55; p < 0.001). Therefore, the NIR band variable can be used as an indicator of species richnessusing power and quadratic regression models, because they were one of the bestfit association recorded betweenspectral variable and plant diversity index, when compared to other studies in natural environments. Thus, weprovide important information about biodiversity that can be... Mostrar Tudo |
Palavras-Chave: |
América do Sul; Floresta seca; Monitoramento; Plantas da Caatinga. |
Thesagro: |
Biodiversidade; Caatinga; Satélite; Sensoriamento Remoto. |
Thesaurus NAL: |
Biodiversity; Landsat; Remote sensing. |
Categoria do assunto: |
P Recursos Naturais, Ciências Ambientais e da Terra |
URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/199355/1/Magna-2.pdf
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Marc: |
LEADER 02758naa a2200313 a 4500 001 2110528 005 2019-10-31 008 2019 bl uuuu u00u1 u #d 024 7 $a10.1016/j.jaridenv.2019.03.001$2DOI 100 1 $aMEDEIROS, E. S. e S. 245 $aPredicting plant species richness with satellite images in the largest dry forest nucleus in South America.$h[electronic resource] 260 $c2019 520 $aBiodiversity assessment is considered an important indicator of ecosystem health by various initiatives world-wide. Satellite remote sensing (SRS) has allowed the development of tools that can assist with the practicalsearch of information related to species richness. The aim of this study was to test whether Landsat satellitespectral variables could be used as indicators of plant species diversity in the Caatinga, the largest nucleus of dryforest in South America. To obtain plant diversity data (richness and Shannon's index), an exhaustive search ofplant phytosociological studies carried out in Caatinga was conducted. Pearson's correlation and PCA analysiswas used to test the association between spectral variables and plant diversity. Regressions were used to test themodels that best explain species richness. The results indicate that a positive correlation exists between richnessand the near-infrared (NIR) spectral band (r = 0.744; p < 0.001). This spectral band was also responsible forexplaining better the variation of leaf level reflectance among eight species that occur in the region (df = 7;F = 26317.55; p < 0.001). Therefore, the NIR band variable can be used as an indicator of species richnessusing power and quadratic regression models, because they were one of the bestfit association recorded betweenspectral variable and plant diversity index, when compared to other studies in natural environments. Thus, weprovide important information about biodiversity that can be used in different researches, from ecological modeling for theoretical approaches to practical applications in Caatinga. The potential use of Landsat satelliteimagery to estimate species richness makes biodiversity assessments easier and provides a continuous source ofdata for monitoring in Brazilian semiarid region 650 $aBiodiversity 650 $aLandsat 650 $aRemote sensing 650 $aBiodiversidade 650 $aCaatinga 650 $aSatélite 650 $aSensoriamento Remoto 653 $aAmérica do Sul 653 $aFloresta seca 653 $aMonitoramento 653 $aPlantas da Caatinga 700 1 $aMACHADO, C. C. C. 700 1 $aGALVÍNCIO, J. D. 700 1 $aMOURA, M. S. B. de 700 1 $aARAÚJO, H. F. P. de 773 $tJournal of Arid Environments$gv. 166, p. 43-50, 2019.
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