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Registro Completo |
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Biblioteca(s): |
Embrapa Pecuária Sudeste. |
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Data corrente: |
17/11/2017 |
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Data da última atualização: |
21/11/2017 |
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Tipo da produção científica: |
Resumo em Anais de Congresso |
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Autoria: |
SILVA, I. T. de O.; NOBOA, C. S.; VALE, J. P. I. do; MATTA, F. de P.; VIGNA, B. B. Z.; FAVERO, A. P.; GUSMAO, M. R. |
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Afiliação: |
Isabella Tavares de Oliveira Silva, UFSCar; Caio Salvador Noboa, UFSCar; João Pedro Isaias do Vale, UNIARA; FREDERICO DE PINA MATTA, CPPSE; BIANCA BACCILI ZANOTTO VIGNA, CPPSE; ALESSANDRA PEREIRA FAVERO, CPPSE; MARCOS RAFAEL GUSMAO, CPPSE. |
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Título: |
Antibiose em genótipos de Paspalum spp. à cigarrinha Mahanarva spectabilis (Hemiptera: Cercopidae). |
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Ano de publicação: |
2017 |
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Fonte/Imprenta: |
In: JORNADA CIENTÍFICA DA EMBRAPA SÃO CARLOS, 9., 2017, São Carlos, SP. Anais... São Carlos, SP: Embrapa Pecuária Sudeste; Embrapa Instrumentação, 2017. |
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Páginas: |
p. 44. |
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Série: |
(Embrapa Pecuária Sudeste. Documentos, 126) |
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ISSN: |
1980-6841 |
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Idioma: |
Português |
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Notas: |
Editores técnicos: Alexandre Berndt, Ana Rita Araujo Nogueira, Bianca Baccili Zanotto Vigna, Juliana Gonçalves Costa, Lea Chapaval, Manuel Antonio Chagas Jacinto, Patricia Menezes Santos. |
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Conteúdo: |
Os gêneros Urochloa e Megathyrsus representam 92% das pastagens cultivadas brasileiras. O gênero Paspalum apresenta espécies nativas com potencial forrageiro, sendo uma alternativa para a diversificação das pastagens. |
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Palavras-Chave: |
Cigarrinhas das pastagens; Forrageira. |
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Thesagro: |
Resistência. |
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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/166856/1/01.pdf
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Marc: |
LEADER 01313nam a2200265 a 4500
001 2079955
005 2017-11-21
008 2017 bl uuuu u00u1 u #d
022 $a1980-6841
100 1 $aSILVA, I. T. de O.
245 $aAntibiose em genótipos de Paspalum spp. à cigarrinha Mahanarva spectabilis (Hemiptera$bCercopidae).$h[electronic resource]
260 $aIn: JORNADA CIENTÍFICA DA EMBRAPA SÃO CARLOS, 9., 2017, São Carlos, SP. Anais... São Carlos, SP: Embrapa Pecuária Sudeste; Embrapa Instrumentação$c2017
300 $ap. 44.
490 $a(Embrapa Pecuária Sudeste. Documentos, 126)
500 $aEditores técnicos: Alexandre Berndt, Ana Rita Araujo Nogueira, Bianca Baccili Zanotto Vigna, Juliana Gonçalves Costa, Lea Chapaval, Manuel Antonio Chagas Jacinto, Patricia Menezes Santos.
520 $aOs gêneros Urochloa e Megathyrsus representam 92% das pastagens cultivadas brasileiras. O gênero Paspalum apresenta espécies nativas com potencial forrageiro, sendo uma alternativa para a diversificação das pastagens.
650 $aResistência
653 $aCigarrinhas das pastagens
653 $aForrageira
700 1 $aNOBOA, C. S.
700 1 $aVALE, J. P. I. do
700 1 $aMATTA, F. de P.
700 1 $aVIGNA, B. B. Z.
700 1 $aFAVERO, A. P.
700 1 $aGUSMAO, M. R.
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Registro original: |
Embrapa Pecuária Sudeste (CPPSE) |
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 | Acesso ao texto completo restrito à biblioteca da Embrapa Territorial. Para informações adicionais entre em contato com cnpm.biblioteca@embrapa.br. |
Registro Completo
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Biblioteca(s): |
Embrapa Territorial. |
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Data corrente: |
09/08/2017 |
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Data da última atualização: |
09/08/2017 |
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Tipo da produção científica: |
Artigo em Anais de Congresso |
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Autoria: |
BRANDAO, Z. N.; GREGO, C. R.; MANJOLIN, R. C. |
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Afiliação: |
ZIANY NEIVA BRANDAO, CNPA; CELIA REGINA GREGO, CNPM; RODOLFO CORREA MANJOLIN, Estagiário CNPM. |
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Título: |
Geoestatistical tools and spectral measurements from AWiFs data for evaluation of N and P contents in cotton leaves. |
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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. |
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Páginas: |
p. 2408-2415 |
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Idioma: |
Inglês |
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Conteúdo: |
Satellite images and geostatistics are useful tools to assess the nutritional status of plants, and thus, understanding the variability of cotton yield in farmers' fields. The resulting kriged maps provide a unique opportunity to overcome both spatial and temporal scaling challenges and understanding the factors that led to crop yield. To support decisions on improving cotton yield, this study combines the conventional statistic analysis, spatial regression modeling of georreferenced data and AWiFs' vegetations indices assessment. The experiments were carried out in a 47.4 ha commercial field of Goiás state, Brazil. Multispectral satellite images at 56 m spatial resolution were collected in a rainfed cotton field in two dates, on 04/01/2011 and 04/10/2012, from AWiFS sensor during the flowering cotton stage. Measures of leaf nitrogen (N) and phosphorus (P) contents were determined over previously georreferenced central points of 70 plots, each one measuring 80X80 m. Data were analyzed using descriptive statistics and geostatistical analyses by building and setting semivariograms and kriging interpolation. Best correlation was found between IVs and nitrogen contents of cotton leaves. Results indicated that NDVI, MSAVI and SAVI were the best indices to estimate P contents at cotton peak flowering. Identifications of spatial differences were possible using geostatistical methods with remote sensing data obtained from medium resolution satellite images, allowing to identify distinct nutritional needs and growth status of canopy to cotton plants. MenosSatellite images and geostatistics are useful tools to assess the nutritional status of plants, and thus, understanding the variability of cotton yield in farmers' fields. The resulting kriged maps provide a unique opportunity to overcome both spatial and temporal scaling challenges and understanding the factors that led to crop yield. To support decisions on improving cotton yield, this study combines the conventional statistic analysis, spatial regression modeling of georreferenced data and AWiFs' vegetations indices assessment. The experiments were carried out in a 47.4 ha commercial field of Goiás state, Brazil. Multispectral satellite images at 56 m spatial resolution were collected in a rainfed cotton field in two dates, on 04/01/2011 and 04/10/2012, from AWiFS sensor during the flowering cotton stage. Measures of leaf nitrogen (N) and phosphorus (P) contents were determined over previously georreferenced central points of 70 plots, each one measuring 80X80 m. Data were analyzed using descriptive statistics and geostatistical analyses by building and setting semivariograms and kriging interpolation. Best correlation was found between IVs and nitrogen contents of cotton leaves. Results indicated that NDVI, MSAVI and SAVI were the best indices to estimate P contents at cotton peak flowering. Identifications of spatial differences were possible using geostatistical methods with remote sensing data obtained from medium resolution satellite images, allowing to identify dist... Mostrar Tudo |
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Palavras-Chave: |
Índices de vegetação; Spatial variability. |
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Thesagro: |
Agricultura de Precisão; Algodão; Sensoriamento remoto. |
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Thesaurus NAL: |
Cotton; Precision agriculture; Remote sensing. |
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Categoria do assunto: |
P Recursos Naturais, Ciências Ambientais e da Terra |
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Marc: |
LEADER 02369nam a2200241 a 4500
001 2073817
005 2017-08-09
008 2017 bl uuuu u00u1 u #d
100 1 $aBRANDAO, Z. N.
245 $aGeoestatistical tools and spectral measurements from AWiFs data for evaluation of N and P contents in cotton leaves.$h[electronic resource]
260 $aIn: SIMPÓSIO BRASILEIRO DE SENSORIAMENTO REMOTO, 18., 2017, Santos. Anais ... Santos: INPE$c2017
300 $ap. 2408-2415
520 $aSatellite images and geostatistics are useful tools to assess the nutritional status of plants, and thus, understanding the variability of cotton yield in farmers' fields. The resulting kriged maps provide a unique opportunity to overcome both spatial and temporal scaling challenges and understanding the factors that led to crop yield. To support decisions on improving cotton yield, this study combines the conventional statistic analysis, spatial regression modeling of georreferenced data and AWiFs' vegetations indices assessment. The experiments were carried out in a 47.4 ha commercial field of Goiás state, Brazil. Multispectral satellite images at 56 m spatial resolution were collected in a rainfed cotton field in two dates, on 04/01/2011 and 04/10/2012, from AWiFS sensor during the flowering cotton stage. Measures of leaf nitrogen (N) and phosphorus (P) contents were determined over previously georreferenced central points of 70 plots, each one measuring 80X80 m. Data were analyzed using descriptive statistics and geostatistical analyses by building and setting semivariograms and kriging interpolation. Best correlation was found between IVs and nitrogen contents of cotton leaves. Results indicated that NDVI, MSAVI and SAVI were the best indices to estimate P contents at cotton peak flowering. Identifications of spatial differences were possible using geostatistical methods with remote sensing data obtained from medium resolution satellite images, allowing to identify distinct nutritional needs and growth status of canopy to cotton plants.
650 $aCotton
650 $aPrecision agriculture
650 $aRemote sensing
650 $aAgricultura de Precisão
650 $aAlgodão
650 $aSensoriamento remoto
653 $aÍndices de vegetação
653 $aSpatial variability
700 1 $aGREGO, C. R.
700 1 $aMANJOLIN, R. C.
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