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Registro Completo |
Biblioteca(s): |
Embrapa Florestas. |
Data corrente: |
24/07/2009 |
Data da última atualização: |
13/04/2017 |
Tipo da produção científica: |
Artigo em Periódico Indexado |
Autoria: |
COSTA, R. B. de; RESENDE, M. D. V. de; GONÇALVES, P. de S.; REGO, F. L. H.; CONTINI, A. Z.; ROA, R. A. R. |
Título: |
Genetic evaluation of Hevea brasiliensis [(Willd ex Adr. de Juss.) Müell. Arg.] for juvenile vigour using the Reml/Blup method. |
Ano de publicação: |
2006 |
Fonte/Imprenta: |
Floresta e Ambiente, Seropédica, v. 12, n. 2, p. 8-14, nov./dez. 2006. |
Idioma: |
Inglês |
Conteúdo: |
This paper intended to estimate genetic values and parameters for plant height, diameter at the base of the plant and leaf-storey number of rubber tree [Hevea brasiliensis (Willd ex Adr. de Juss.) Müell, Arg.] halfsib progenies using the míxed-model methodology (Reml/Blup procedure). The rubber tree progenies were obtained from a second generation population produced from the recombination of 30 original parents, pertaining to the Instituto Agronômico de Campinas (IAC) in São Paulo state. At the age of eight months the variables were evaluated. Results demonstrated the existence of significant genetic variability among the progenies for the studied traits. The estimates of the heritability coefficient showed moderate values for both height and leaf-storey number, and low values for plant diameter at the base of the plant. There are good possibilities of genetic gain for these main traits in the context of the improvement program that was started in Mato Grosso do Sul state. |
Palavras-Chave: |
Reml/Blup. |
Thesagro: |
Hevea Brasiliensis; Parâmetro Genético; Seringueira. |
Categoria do assunto: |
-- |
URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/32391/1/Genetic-Evalution.pdf
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Marc: |
LEADER 01732naa a2200229 a 4500 001 1316105 005 2017-04-13 008 2006 bl uuuu u00u1 u #d 100 1 $aCOSTA, R. B. de 245 $aGenetic evaluation of Hevea brasiliensis [(Willd ex Adr. de Juss.) Müell. Arg.] for juvenile vigour using the Reml/Blup method.$h[electronic resource] 260 $c2006 520 $aThis paper intended to estimate genetic values and parameters for plant height, diameter at the base of the plant and leaf-storey number of rubber tree [Hevea brasiliensis (Willd ex Adr. de Juss.) Müell, Arg.] halfsib progenies using the míxed-model methodology (Reml/Blup procedure). The rubber tree progenies were obtained from a second generation population produced from the recombination of 30 original parents, pertaining to the Instituto Agronômico de Campinas (IAC) in São Paulo state. At the age of eight months the variables were evaluated. Results demonstrated the existence of significant genetic variability among the progenies for the studied traits. The estimates of the heritability coefficient showed moderate values for both height and leaf-storey number, and low values for plant diameter at the base of the plant. There are good possibilities of genetic gain for these main traits in the context of the improvement program that was started in Mato Grosso do Sul state. 650 $aHevea Brasiliensis 650 $aParâmetro Genético 650 $aSeringueira 653 $aReml/Blup 700 1 $aRESENDE, M. D. V. de 700 1 $aGONÇALVES, P. de S. 700 1 $aREGO, F. L. H. 700 1 $aCONTINI, A. Z. 700 1 $aROA, R. A. R. 773 $tFloresta e Ambiente, Seropédica$gv. 12, n. 2, p. 8-14, nov./dez. 2006.
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Registro original: |
Embrapa Florestas (CNPF) |
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Registro Completo
Biblioteca(s): |
Embrapa Meio Ambiente. |
Data corrente: |
19/11/2019 |
Data da última atualização: |
19/11/2019 |
Tipo da produção científica: |
Artigo em Periódico Indexado |
Circulação/Nível: |
A - 1 |
Autoria: |
FONGARO, C. T.; DEMATTÊ, J. A. M.; RIZZO, R.; SAFANELLI, J. L.; MENDES, W. de S.; DOTTO, A. C.; VICENTE, L. E.; FRANCESCHINI, M. H. D.; USTIN, S. L. |
Afiliação: |
CAIO TROULA FONGARO, ESALQ-USP; JOSE ALEXANDRE MELO DEMATTE, ESALQ-USP; RODNEI RIZZO, CENA-USP; JOSE LUCAS SAFANELLI, ESALQ-USP; WANDERSON DE SOUSA MENDES, ESALQ-USP; ANDRE CARNIELETTO DOTTO, ESALQ-USP; LUIZ EDUARDO VICENTE, CNPMA; MARSTON HERACLES DOMINGUES FRANCESCHINI, Wageningen University; SUSAN L USTIN, University of California-Davis. |
Título: |
Improvement of clay and sand quantification based on a novel approach with a focus on multispectral satellite images. |
Ano de publicação: |
2018 |
Fonte/Imprenta: |
Remote Sensing, v. 10, n. 10, p. 1-21, 2018. Article 1555. |
DOI: |
https://doi.org/10.3390/rs10101555 |
Idioma: |
Inglês |
Conteúdo: |
Abstract: Soil mapping demands large-scale surveys that are costly and time consuming. It is necessary to identify strategies with reduced costs to obtain detailed information for soil mapping. We aimed to compare multispectral satellite image and relief parameters for the quantification and mapping of clay and sand contents. The Temporal Synthetic Spectral (TESS) reflectance and Synthetic Soil Image (SYSI) approaches were used to identify and characterize texture spectral signatures at the image level. Soil samples were collected (0?20 cm depth, 919 points) from an area of 14,614 km 2 in Brazil for reference and model calibration. We compared different prediction approaches: (a) TESS and SYSI; (b) Relief-Derived Covariates (RDC); and (c) SYSI plus RDC. The TESS method produced highly similar behavior to the laboratory convolved data. The sandy textural class showed a greater increase in average spectral reflectance from Band 1 to 7 compared with the clayey class. The prediction using SYSI produced a better result for clay (R 2 = 0.83; RMSE = 65.0 g kg − 1 ) and sand (R 2 = 0.86; RMSE = 79.9 g kg − 1 ). Multispectral satellite images were more stable for the identification of soil properties than relief parameters. |
Palavras-Chave: |
Imagem de satélite; Mapeamento do solo. |
Thesagro: |
Satélite; Sensoriamento Remoto; Solo Arenoso; Solo Argiloso. |
Thesaurus NAL: |
Clay soils; Multispectral imagery; Precision agriculture; Reflectance spectroscopy; Remote sensing; Sandy soils; Satellites; Soil degradation; Soil map. |
Categoria do assunto: |
X Pesquisa, Tecnologia e Engenharia |
URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/204955/1/Vicente-Clay-Sand-AP-2019.pdf
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Marc: |
LEADER 02461naa a2200409 a 4500 001 2114592 005 2019-11-19 008 2018 bl uuuu u00u1 u #d 024 7 $ahttps://doi.org/10.3390/rs10101555$2DOI 100 1 $aFONGARO, C. T. 245 $aImprovement of clay and sand quantification based on a novel approach with a focus on multispectral satellite images.$h[electronic resource] 260 $c2018 520 $aAbstract: Soil mapping demands large-scale surveys that are costly and time consuming. It is necessary to identify strategies with reduced costs to obtain detailed information for soil mapping. We aimed to compare multispectral satellite image and relief parameters for the quantification and mapping of clay and sand contents. The Temporal Synthetic Spectral (TESS) reflectance and Synthetic Soil Image (SYSI) approaches were used to identify and characterize texture spectral signatures at the image level. Soil samples were collected (0?20 cm depth, 919 points) from an area of 14,614 km 2 in Brazil for reference and model calibration. We compared different prediction approaches: (a) TESS and SYSI; (b) Relief-Derived Covariates (RDC); and (c) SYSI plus RDC. The TESS method produced highly similar behavior to the laboratory convolved data. The sandy textural class showed a greater increase in average spectral reflectance from Band 1 to 7 compared with the clayey class. The prediction using SYSI produced a better result for clay (R 2 = 0.83; RMSE = 65.0 g kg − 1 ) and sand (R 2 = 0.86; RMSE = 79.9 g kg − 1 ). Multispectral satellite images were more stable for the identification of soil properties than relief parameters. 650 $aClay soils 650 $aMultispectral imagery 650 $aPrecision agriculture 650 $aReflectance spectroscopy 650 $aRemote sensing 650 $aSandy soils 650 $aSatellites 650 $aSoil degradation 650 $aSoil map 650 $aSatélite 650 $aSensoriamento Remoto 650 $aSolo Arenoso 650 $aSolo Argiloso 653 $aImagem de satélite 653 $aMapeamento do solo 700 1 $aDEMATTÊ, J. A. M. 700 1 $aRIZZO, R. 700 1 $aSAFANELLI, J. L. 700 1 $aMENDES, W. de S. 700 1 $aDOTTO, A. C. 700 1 $aVICENTE, L. E. 700 1 $aFRANCESCHINI, M. H. D. 700 1 $aUSTIN, S. L. 773 $tRemote Sensing$gv. 10, n. 10, p. 1-21, 2018. Article 1555.
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