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Registro Completo |
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Biblioteca(s): |
Embrapa Meio Ambiente; Embrapa Solos. |
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Data corrente: |
29/08/2017 |
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Data da última atualização: |
17/01/2023 |
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Tipo da produção científica: |
Artigo em Anais de Congresso |
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Autoria: |
MONTIBELLER, B.; LUIZ, A. J. B.; SANCHES, I. D. A.; SILVEIRA, H. L. F. da. |
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Afiliação: |
BRUNO MONTIBELLER, INPE; ALFREDO JOSE BARRETO LUIZ, CNPMA; IEDA DEL'ARCO SANCHES, INPE; HILTON LUIS FERRAZ DA SILVEIRA, CNPS. |
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Título: |
Análise da variabilidade espectro-temporal intraespecífica do milho. |
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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: 59410. |
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Páginas: |
p. 2011-2018. |
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Idioma: |
Português |
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Conteúdo: |
Remote sensing data has been widely used worldwide to estimate crop field?s parameters such as area. For that purpose, we use automatic classification algorithms to identify different land uses and land covers (e.g. agricultural and native vegetation), groups of crops (e.g. annual and perennial crops) or crops species (e.g. maize, sugarcane or soybean). For agricultural applications, the ultimate goal is to be able to use remote sensing technology to map crops in the specie level, and then to monitor them. One essential input data used in the classifications algorithms is the spectral information of the ground targets (e.g. reflectance and vegetation indices). Therefore, it is important to know the spectral behavior of all targets. However, the ability of one classifier to distinguish between plant species is probably dependent on the amount of intraspecific variability. In other words, if a crop specie has high intraspecific spectral variation, it will be difficult to classify this specie among others. Thus, the aim of this work is to analyze the intraspecific spectral temporal variability of maize crop. To accomplish that, spectral data (OLI/Landsat-8) were acquired from first and second harvest maize plots, cultivated over distinct management systems (irrigated and non-irrigated), along two agricultural crop years, (2014/2015 and 2015/2016). We concluded that maize fields harvested in different years, sowed in different seasons, irrigated or not, have a high temporal spectral variation, which cannot be associated with these known characteristics. MenosRemote sensing data has been widely used worldwide to estimate crop field?s parameters such as area. For that purpose, we use automatic classification algorithms to identify different land uses and land covers (e.g. agricultural and native vegetation), groups of crops (e.g. annual and perennial crops) or crops species (e.g. maize, sugarcane or soybean). For agricultural applications, the ultimate goal is to be able to use remote sensing technology to map crops in the specie level, and then to monitor them. One essential input data used in the classifications algorithms is the spectral information of the ground targets (e.g. reflectance and vegetation indices). Therefore, it is important to know the spectral behavior of all targets. However, the ability of one classifier to distinguish between plant species is probably dependent on the amount of intraspecific variability. In other words, if a crop specie has high intraspecific spectral variation, it will be difficult to classify this specie among others. Thus, the aim of this work is to analyze the intraspecific spectral temporal variability of maize crop. To accomplish that, spectral data (OLI/Landsat-8) were acquired from first and second harvest maize plots, cultivated over distinct management systems (irrigated and non-irrigated), along two agricultural crop years, (2014/2015 and 2015/2016). We concluded that maize fields harvested in different years, sowed in different seasons, irrigated or not, have a high temporal spec... Mostrar Tudo |
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Palavras-Chave: |
Agricultural monitoring; Dado multitemporal; Monitoramento agrícola; Multitemporal data; OLI-Landsat-8; Reflectância de superfície; Surface reflectance. |
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Thesagro: |
Milho; Sensoriamento remoto. |
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Thesaurus Nal: |
Remote sensing. |
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Categoria do assunto: |
P Recursos Naturais, Ciências Ambientais e da Terra
X Pesquisa, Tecnologia e Engenharia |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/170682/1/2017AA32.pdf
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/163104/1/2017-021.pdf
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Marc: |
LEADER 02476nam a2200277 a 4500
001 2084705
005 2023-01-17
008 2017 bl uuuu u00u1 u #d
100 1 $aMONTIBELLER, B.
245 $aAnálise da variabilidade espectro-temporal intraespecífica do milho.$h[electronic resource]
260 $aIn: SIMPÓSIO BRASILEIRO DE SENSORIAMENTO REMOTO, 18.,2017, Santos. Anais... Santos: Inpe, 2017. Trabalho: 59410.$c2017
300 $ap. 2011-2018.
520 $aRemote sensing data has been widely used worldwide to estimate crop field?s parameters such as area. For that purpose, we use automatic classification algorithms to identify different land uses and land covers (e.g. agricultural and native vegetation), groups of crops (e.g. annual and perennial crops) or crops species (e.g. maize, sugarcane or soybean). For agricultural applications, the ultimate goal is to be able to use remote sensing technology to map crops in the specie level, and then to monitor them. One essential input data used in the classifications algorithms is the spectral information of the ground targets (e.g. reflectance and vegetation indices). Therefore, it is important to know the spectral behavior of all targets. However, the ability of one classifier to distinguish between plant species is probably dependent on the amount of intraspecific variability. In other words, if a crop specie has high intraspecific spectral variation, it will be difficult to classify this specie among others. Thus, the aim of this work is to analyze the intraspecific spectral temporal variability of maize crop. To accomplish that, spectral data (OLI/Landsat-8) were acquired from first and second harvest maize plots, cultivated over distinct management systems (irrigated and non-irrigated), along two agricultural crop years, (2014/2015 and 2015/2016). We concluded that maize fields harvested in different years, sowed in different seasons, irrigated or not, have a high temporal spectral variation, which cannot be associated with these known characteristics.
650 $aRemote sensing
650 $aMilho
650 $aSensoriamento remoto
653 $aAgricultural monitoring
653 $aDado multitemporal
653 $aMonitoramento agrícola
653 $aMultitemporal data
653 $aOLI-Landsat-8
653 $aReflectância de superfície
653 $aSurface reflectance
700 1 $aLUIZ, A. J. B.
700 1 $aSANCHES, I. D. A.
700 1 $aSILVEIRA, H. L. F. da
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Registro original: |
Embrapa Meio Ambiente (CNPMA) |
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Biblioteca |
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Origem |
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Classificação |
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Registro |
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Registro Completo
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Biblioteca(s): |
Embrapa Arroz e Feijão. |
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Data corrente: |
12/02/2020 |
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Data da última atualização: |
20/04/2020 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Circulação/Nível: |
B - 1 |
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Autoria: |
ALVARES, R. C.; PEREIRA, H. S.; MELO, L. C.; MIKLAS, P. N.; MELO, P. G. S. |
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Afiliação: |
RENATA C. ALVARES, Empresa Caraíba, Rio Verde-GO; HELTON SANTOS PEREIRA, CNPAF; LEONARDO CUNHA MELO, CNPAF; PHILLIP N. MIKLAS, USDA; PATRICIA G. S. MELO, UFG. |
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Título: |
Induction of seed coat darkening in common beans (Phaseolus vulgaris L.) and the association with cooking time after storage. |
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Ano de publicação: |
2020 |
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Fonte/Imprenta: |
Australian Journal of Crop Science, v. 14, n. 1, p. 21-27, 2020. |
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ISSN: |
1835-2707 |
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DOI: |
10.21475/ajcs.20.14.01.p1500 |
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Idioma: |
Inglês |
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Conteúdo: |
Carioca is the most important edible dry bean (Phaseolus vulgaris L.) grown in Brazil. It represents the largest dry bean market class in the world. The seed coat of carioca beans will darken under adverse harvest conditions and with the increasing of storage time. In general, darkened seeds are associated with older seeds that suffer from prolonged cooking times. A relatively new 'slow darkening' trait is available in carioca that delays seed coat darkening under storage. However, its effect on cooking time is unknown. The objective of this work was to evaluate two induction methods of seed coat darkening and to examine the effect of slow darkening trait on cooking time after storage. Lines derived from four segregating populations resulting from crossings between cultivar BRSMG Madrepérola with slow seed coat darkening, and the parents BRS Estilo, BRS Cometa, BRS Notável and BRS Sublime with normal darkening were evaluated. An experiment inlcuding 220 lines, 55 per population and the five parents, in a 15x15 triple lattice was conducted in the winter growing season in Brasilia. Seed coat darkening and cooking time traits were evaluated. Two methods for inducing seed coat darkening were compared: an accelerated aging test using UV light for 72 hours, and an extended storage for 90 days under ambient conditions. The correlation between the induction methods ranged from 0.77 to 0.85 for the different populations indicating either method could be used to discriminate lines with normal versus slow darkening trait. The percentage of light-colored grain lines was identified by both induction methods of seed coat darkening ranged from 75 to 85.7% in the populations. The genetic correlation between seed coat darkening and cooking time varied from -0.06 to -0.48, indicating that in some populations there is no significant genetic correlation between seed coat darkening and cooking time. Thus, light colored grains are not indicative of low cooking time, when they are considered genotypes with genetic variation for the seed coat darkening. MenosCarioca is the most important edible dry bean (Phaseolus vulgaris L.) grown in Brazil. It represents the largest dry bean market class in the world. The seed coat of carioca beans will darken under adverse harvest conditions and with the increasing of storage time. In general, darkened seeds are associated with older seeds that suffer from prolonged cooking times. A relatively new 'slow darkening' trait is available in carioca that delays seed coat darkening under storage. However, its effect on cooking time is unknown. The objective of this work was to evaluate two induction methods of seed coat darkening and to examine the effect of slow darkening trait on cooking time after storage. Lines derived from four segregating populations resulting from crossings between cultivar BRSMG Madrepérola with slow seed coat darkening, and the parents BRS Estilo, BRS Cometa, BRS Notável and BRS Sublime with normal darkening were evaluated. An experiment inlcuding 220 lines, 55 per population and the five parents, in a 15x15 triple lattice was conducted in the winter growing season in Brasilia. Seed coat darkening and cooking time traits were evaluated. Two methods for inducing seed coat darkening were compared: an accelerated aging test using UV light for 72 hours, and an extended storage for 90 days under ambient conditions. The correlation between the induction methods ranged from 0.77 to 0.85 for the different populations indicating either method could be used to discriminate lines wit... Mostrar Tudo |
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Thesagro: |
Armazenamento; Escurecimento; Feijão; Melhoramento Genético Vegetal; Phaseolus Vulgaris; Semente; Variação Genética. |
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Thesaurus NAL: |
Beans; Genetic correlation; Seed coat; Seed storage. |
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Categoria do assunto: |
G Melhoramento Genético |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/210706/1/CNPAF-2020-ajcs.pdf
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Marc: |
LEADER 03040naa a2200325 a 4500
001 2120206
005 2020-04-20
008 2020 bl uuuu u00u1 u #d
022 $a1835-2707
024 7 $a10.21475/ajcs.20.14.01.p1500$2DOI
100 1 $aALVARES, R. C.
245 $aInduction of seed coat darkening in common beans (Phaseolus vulgaris L.) and the association with cooking time after storage.$h[electronic resource]
260 $c2020
520 $aCarioca is the most important edible dry bean (Phaseolus vulgaris L.) grown in Brazil. It represents the largest dry bean market class in the world. The seed coat of carioca beans will darken under adverse harvest conditions and with the increasing of storage time. In general, darkened seeds are associated with older seeds that suffer from prolonged cooking times. A relatively new 'slow darkening' trait is available in carioca that delays seed coat darkening under storage. However, its effect on cooking time is unknown. The objective of this work was to evaluate two induction methods of seed coat darkening and to examine the effect of slow darkening trait on cooking time after storage. Lines derived from four segregating populations resulting from crossings between cultivar BRSMG Madrepérola with slow seed coat darkening, and the parents BRS Estilo, BRS Cometa, BRS Notável and BRS Sublime with normal darkening were evaluated. An experiment inlcuding 220 lines, 55 per population and the five parents, in a 15x15 triple lattice was conducted in the winter growing season in Brasilia. Seed coat darkening and cooking time traits were evaluated. Two methods for inducing seed coat darkening were compared: an accelerated aging test using UV light for 72 hours, and an extended storage for 90 days under ambient conditions. The correlation between the induction methods ranged from 0.77 to 0.85 for the different populations indicating either method could be used to discriminate lines with normal versus slow darkening trait. The percentage of light-colored grain lines was identified by both induction methods of seed coat darkening ranged from 75 to 85.7% in the populations. The genetic correlation between seed coat darkening and cooking time varied from -0.06 to -0.48, indicating that in some populations there is no significant genetic correlation between seed coat darkening and cooking time. Thus, light colored grains are not indicative of low cooking time, when they are considered genotypes with genetic variation for the seed coat darkening.
650 $aBeans
650 $aGenetic correlation
650 $aSeed coat
650 $aSeed storage
650 $aArmazenamento
650 $aEscurecimento
650 $aFeijão
650 $aMelhoramento Genético Vegetal
650 $aPhaseolus Vulgaris
650 $aSemente
650 $aVariação Genética
700 1 $aPEREIRA, H. S.
700 1 $aMELO, L. C.
700 1 $aMIKLAS, P. N.
700 1 $aMELO, P. G. S.
773 $tAustralian Journal of Crop Science$gv. 14, n. 1, p. 21-27, 2020.
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Registro original: |
Embrapa Arroz e Feijão (CNPAF) |
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