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Registro Completo |
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Biblioteca(s): |
Embrapa Meio Ambiente. |
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Data corrente: |
10/01/2018 |
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Data da última atualização: |
10/01/2018 |
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Tipo da produção científica: |
Artigo em Anais de Congresso |
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Autoria: |
VICENTE, L. E.; STOLF, M. T.; LOEBMANN, D. G. dos S. W.; MANZATTO, C. V.; VICENTE, A. K. |
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Afiliação: |
LUIZ EDUARDO VICENTE, CNPMA; MARCELA TABORDA STOLF, IGE-UNICAMP; DANIEL GOMES DOS SANTOS W LOEBMANN, CNPMA; CELSO VAINER MANZATTO, CNPMA; ANDREA KOGA VICENTE, CEPAGRI. |
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Título: |
Mapping landscape features related to soil carbon using ASTER thermal infrared images. |
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Ano de publicação: |
2017 |
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Fonte/Imprenta: |
In: SIMPÓSIO BRASILEIRO DE SENSORIAMENTO REMOTO, 18., 2017, Santos. Anais... Santos: Inpe, 2017. Trabalho 60115. |
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Páginas: |
p. 7605-7612. |
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Idioma: |
Inglês |
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Conteúdo: |
Climatic change derived from greenhouse gases (GHG) anthropogenic emissions consists in one of the main concerns of public policy makers. In Brazil, agricultural activities and livestock are responsible for 23% of gross GHG emissions, and land use and soil management are the main factors that drive these emissions levels. Soil carbon is mainly stocked as soil organic matter (SOM), and SOM stocks are related to clay content in soil and soil management. In order to improve the monitoring of these factors, we propose the use of ASTER TIR images data to map quartz, phyllosilicated clays, and non-photosynthetically active vegetation (NPAV) in order to assess remote sensing techniques to large-scale mapping of environments with greater or less soil carbon accumulation. We used thermal bands ratios to get quartz, phyllosilicated clays, and NPAV image fractions, that were compared to ASTER VNIR images and to the soil classes map of the study area. Results show that areas with higher values in quartz image fraction are related to bare soils areas in quartz-enriched soils. Higher values in phyllosilicates image fraction are related to bare soils areas with clay soils and higher values in NPAV image fraction are consistent to the vegetation activity throughout the study area, including crop residues areas detected in large-scale farms. |
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Palavras-Chave: |
Filossilicatos; Imagem de satélite; Índices espectrais; Non photosynthetically active vegetation; Phyllosilicates; Quartzo; Quatz; Spectral indices; Vegetação não fotossinteticamente ativa. |
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Thesagro: |
Carbono; Sensoriamento remoto; Solo. |
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Thesaurus Nal: |
Agriculture; Carbon; Remote sensing; Soil. |
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Categoria do assunto: |
X Pesquisa, Tecnologia e Engenharia |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/170792/1/2017AA36.pdf
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Marc: |
LEADER 02457nam a2200361 a 4500
001 2084953
005 2018-01-10
008 2017 bl uuuu u00u1 u #d
100 1 $aVICENTE, L. E.
245 $aMapping landscape features related to soil carbon using ASTER thermal infrared images.$h[electronic resource]
260 $aIn: SIMPÓSIO BRASILEIRO DE SENSORIAMENTO REMOTO, 18., 2017, Santos. Anais... Santos: Inpe, 2017. Trabalho 60115.$c2017
300 $ap. 7605-7612.
520 $aClimatic change derived from greenhouse gases (GHG) anthropogenic emissions consists in one of the main concerns of public policy makers. In Brazil, agricultural activities and livestock are responsible for 23% of gross GHG emissions, and land use and soil management are the main factors that drive these emissions levels. Soil carbon is mainly stocked as soil organic matter (SOM), and SOM stocks are related to clay content in soil and soil management. In order to improve the monitoring of these factors, we propose the use of ASTER TIR images data to map quartz, phyllosilicated clays, and non-photosynthetically active vegetation (NPAV) in order to assess remote sensing techniques to large-scale mapping of environments with greater or less soil carbon accumulation. We used thermal bands ratios to get quartz, phyllosilicated clays, and NPAV image fractions, that were compared to ASTER VNIR images and to the soil classes map of the study area. Results show that areas with higher values in quartz image fraction are related to bare soils areas in quartz-enriched soils. Higher values in phyllosilicates image fraction are related to bare soils areas with clay soils and higher values in NPAV image fraction are consistent to the vegetation activity throughout the study area, including crop residues areas detected in large-scale farms.
650 $aAgriculture
650 $aCarbon
650 $aRemote sensing
650 $aSoil
650 $aCarbono
650 $aSensoriamento remoto
650 $aSolo
653 $aFilossilicatos
653 $aImagem de satélite
653 $aÍndices espectrais
653 $aNon photosynthetically active vegetation
653 $aPhyllosilicates
653 $aQuartzo
653 $aQuatz
653 $aSpectral indices
653 $aVegetação não fotossinteticamente ativa
700 1 $aSTOLF, M. T.
700 1 $aLOEBMANN, D. G. dos S. W.
700 1 $aMANZATTO, C. V.
700 1 $aVICENTE, A. K.
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Registro original: |
Embrapa Meio Ambiente (CNPMA) |
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Registro Completo
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Biblioteca(s): |
Embrapa Milho e Sorgo. |
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Data corrente: |
24/08/2017 |
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Data da última atualização: |
24/08/2017 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Circulação/Nível: |
A - 1 |
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Autoria: |
SILVA, M. J. da; PASTINA, M. M.; SOUZA, V. F. de; SCHAFFERT, R. E.; CARNEIRO, P. C. S.; NODA, R. W.; CARNEIRO, J. E. de S.; DAMASCENO, C. M. B.; PARRELLA, R. A. da C. |
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Afiliação: |
Michele Jorge da Silva, Bolsista; MARIA MARTA PASTINA, CNPMS; Vander Fillipe de Souza, Bolsista; ROBERT EUGENE SCHAFFERT, CNPMS; Pedro Crescêncio Souza Carneiro, Bolsista; ROBERTO WILLIANS NODA, CNPMS; José Eustáquio de Souza Carneiro; CYNTHIA MARIA BORGES DAMASCENO, CNPMS; RAFAEL AUGUSTO DA COSTA PARRELLA, CNPMS. |
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Título: |
Phenotypic and molecular characterization of sweet sorghum accessions for bioenergy production. |
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Ano de publicação: |
2017 |
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Fonte/Imprenta: |
Plos One, San Francisco, v. 12, n. 8, p. 1-19, 2017. |
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DOI: |
10.1371/journal.pone.0183504 |
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Idioma: |
Inglês |
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Conteúdo: |
Sweet sorghum [Sorghum bicolor (L.) Moench] is a type of cultivated sorghum characterized by the accumulation of high levels of sugar in the stems and high biomass accumulation, making this crop an important feedstock for bioenergy production. Sweet sorghum breeding programs that focus on bioenergy have two main goals: to improve quantity and quality of sugars in the juicy stem and to increase fresh biomass productivity. Genetic diversity studies are very important for the success of a breeding program, especially in the early stages, where understanding the genetic relationship between accessions is essential to identify superior parents for the development of improved breeding lines. The objectives of this study were: to perform phenotypic and molecular characterization of 100 sweet sorghum accessions from the germplasm bank of the Embrapa Maize and Sorghum breeding program; to examine the relationship between the phenotypic and the molecular diversity matrices; and to infer about the population structure in the sweet sorghum accessions. Morphological and agro-industrial traits related to sugar and biomass production were used for phenotypic characterization, and single nucleotide polymorphisms (SNPs) were used for molecular diversity analysis. Both phenotypic and molecular characterizations revealed the existence of considerable genetic diversity among the 100 sweet sorghum accessions. The correlation between the phenotypic and the molecular diversity matrices was low (0.35), which is in agreement with the inconsistencies observed between the clusters formed by the phenotypic and the molecular diversity analyses. Furthermore, the clusters obtained by the molecular diversity analysis were more consistent with the genealogy and the historic background of the sweet sorghum accessions than the clusters obtained through the phenotypic diversity analysis. The low correlation observed between the molecular and the phenotypic diversity matrices highlights the complementarity between the molecular and the phenotypic characterization to assist a breeding program. MenosSweet sorghum [Sorghum bicolor (L.) Moench] is a type of cultivated sorghum characterized by the accumulation of high levels of sugar in the stems and high biomass accumulation, making this crop an important feedstock for bioenergy production. Sweet sorghum breeding programs that focus on bioenergy have two main goals: to improve quantity and quality of sugars in the juicy stem and to increase fresh biomass productivity. Genetic diversity studies are very important for the success of a breeding program, especially in the early stages, where understanding the genetic relationship between accessions is essential to identify superior parents for the development of improved breeding lines. The objectives of this study were: to perform phenotypic and molecular characterization of 100 sweet sorghum accessions from the germplasm bank of the Embrapa Maize and Sorghum breeding program; to examine the relationship between the phenotypic and the molecular diversity matrices; and to infer about the population structure in the sweet sorghum accessions. Morphological and agro-industrial traits related to sugar and biomass production were used for phenotypic characterization, and single nucleotide polymorphisms (SNPs) were used for molecular diversity analysis. Both phenotypic and molecular characterizations revealed the existence of considerable genetic diversity among the 100 sweet sorghum accessions. The correlation between the phenotypic and the molecular diversity matrices was low (0.... Mostrar Tudo |
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Palavras-Chave: |
Seleção fenotípica. |
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Thesagro: |
Bioenergia; Sorgo açucareiro. |
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Categoria do assunto: |
F Plantas e Produtos de Origem Vegetal |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/163008/1/Phenotypic-molecular.pdf
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Marc: |
LEADER 02908naa a2200265 a 4500
001 2074429
005 2017-08-24
008 2017 bl uuuu u00u1 u #d
024 7 $a10.1371/journal.pone.0183504$2DOI
100 1 $aSILVA, M. J. da
245 $aPhenotypic and molecular characterization of sweet sorghum accessions for bioenergy production.$h[electronic resource]
260 $c2017
520 $aSweet sorghum [Sorghum bicolor (L.) Moench] is a type of cultivated sorghum characterized by the accumulation of high levels of sugar in the stems and high biomass accumulation, making this crop an important feedstock for bioenergy production. Sweet sorghum breeding programs that focus on bioenergy have two main goals: to improve quantity and quality of sugars in the juicy stem and to increase fresh biomass productivity. Genetic diversity studies are very important for the success of a breeding program, especially in the early stages, where understanding the genetic relationship between accessions is essential to identify superior parents for the development of improved breeding lines. The objectives of this study were: to perform phenotypic and molecular characterization of 100 sweet sorghum accessions from the germplasm bank of the Embrapa Maize and Sorghum breeding program; to examine the relationship between the phenotypic and the molecular diversity matrices; and to infer about the population structure in the sweet sorghum accessions. Morphological and agro-industrial traits related to sugar and biomass production were used for phenotypic characterization, and single nucleotide polymorphisms (SNPs) were used for molecular diversity analysis. Both phenotypic and molecular characterizations revealed the existence of considerable genetic diversity among the 100 sweet sorghum accessions. The correlation between the phenotypic and the molecular diversity matrices was low (0.35), which is in agreement with the inconsistencies observed between the clusters formed by the phenotypic and the molecular diversity analyses. Furthermore, the clusters obtained by the molecular diversity analysis were more consistent with the genealogy and the historic background of the sweet sorghum accessions than the clusters obtained through the phenotypic diversity analysis. The low correlation observed between the molecular and the phenotypic diversity matrices highlights the complementarity between the molecular and the phenotypic characterization to assist a breeding program.
650 $aBioenergia
650 $aSorgo açucareiro
653 $aSeleção fenotípica
700 1 $aPASTINA, M. M.
700 1 $aSOUZA, V. F. de
700 1 $aSCHAFFERT, R. E.
700 1 $aCARNEIRO, P. C. S.
700 1 $aNODA, R. W.
700 1 $aCARNEIRO, J. E. de S.
700 1 $aDAMASCENO, C. M. B.
700 1 $aPARRELLA, R. A. da C.
773 $tPlos One, San Francisco$gv. 12, n. 8, p. 1-19, 2017.
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Embrapa Milho e Sorgo (CNPMS) |
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