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Registro Completo |
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Biblioteca(s): |
Embrapa Territorial. |
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Data corrente: |
15/03/2021 |
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Data da última atualização: |
15/03/2021 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Autoria: |
LEIVAS, J. F.; TEIXEIRA, A. H. DE C.; TAKEMURA, C. M.; GARCON, E. A. M. |
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Afiliação: |
JANICE FREITAS LEIVAS, CNPM; ANTÔNIO HERIBERTO DE CASTRO TEIXEIRA, UFS; CELINA MAKI TAKEMURA, CNPM; EDLENE APARECIDA MONTEIRO GARCON, CNPM. |
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Título: |
Agrometeorological Indicators based on Satellite Imagery in Western Bahia, Brazil. |
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Ano de publicação: |
2020 |
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Fonte/Imprenta: |
International Journal of Environmental & Agriculture Research (IJOEAR), v. 6, n. 7, jul. 2020. |
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Páginas: |
p. 43-48. |
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ISBN: |
2454-1850 |
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Idioma: |
Português |
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Conteúdo: |
The western region of Bahia stands out for its large-scale agricultural activity, which uses advanced technology and produces high yields of soybeans, corn and cotton, making it the largest grain producer in Northeast Brazil. The aim of this study is to apply the SAFER algorithm to biophysical indicators, in order to analyze the dynamics of natural vegetation and irrigated crops throughout the crop cycle. The model requires data from meteorological stations and satellite images for its application. Sixty-nine MODIS satellite images with a 250-m spatial resolution and a 16-day temporal resolution taken from 2016 to 2018 were used. The method was effective as a tool to monitor agricultural crops, and to distinguish the phases and vigor of the crops according to the spectral characteristics of their surface. The results of this study may assist in the monitoring of crops and in decision making, and may contribute to the rational use of water resources for irrigation and management of rainfed crops. |
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Palavras-Chave: |
Irrigated crop; SAFER; Water production. |
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Thesaurus Nal: |
Biomass; Evapotranspiration. |
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Categoria do assunto: |
-- |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/221882/1/5885.pdf
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Marc: |
LEADER 01733naa a2200241 a 4500
001 2130688
005 2021-03-15
008 2020 bl uuuu u00u1 u #d
022 $a2454-1850
100 1 $aLEIVAS, J. F.
245 $aAgrometeorological Indicators based on Satellite Imagery in Western Bahia, Brazil.$h[electronic resource]
260 $c2020
300 $ap. 43-48.
520 $aThe western region of Bahia stands out for its large-scale agricultural activity, which uses advanced technology and produces high yields of soybeans, corn and cotton, making it the largest grain producer in Northeast Brazil. The aim of this study is to apply the SAFER algorithm to biophysical indicators, in order to analyze the dynamics of natural vegetation and irrigated crops throughout the crop cycle. The model requires data from meteorological stations and satellite images for its application. Sixty-nine MODIS satellite images with a 250-m spatial resolution and a 16-day temporal resolution taken from 2016 to 2018 were used. The method was effective as a tool to monitor agricultural crops, and to distinguish the phases and vigor of the crops according to the spectral characteristics of their surface. The results of this study may assist in the monitoring of crops and in decision making, and may contribute to the rational use of water resources for irrigation and management of rainfed crops.
650 $aBiomass
650 $aEvapotranspiration
653 $aIrrigated crop
653 $aSAFER
653 $aWater production
700 1 $aTEIXEIRA, A. H. DE C.
700 1 $aTAKEMURA, C. M.
700 1 $aGARCON, E. A. M.
773 $tInternational Journal of Environmental & Agriculture Research (IJOEAR)$gv. 6, n. 7, jul. 2020.
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Registro original: |
Embrapa Territorial (CNPM) |
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Biblioteca |
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Origem |
Tipo/Formato |
Classificação |
Cutter |
Registro |
Volume |
Status |
URL |
Voltar
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Registro Completo
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Biblioteca(s): |
Embrapa Arroz e Feijão. |
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Data corrente: |
29/11/2021 |
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Data da última atualização: |
08/12/2021 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Circulação/Nível: |
A - 2 |
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Autoria: |
SILVA, C. L. T.; CORREA, F.; ALMEIDA, A. C. de S.; ARAÚJO, M. da S.; BARRIGOSSI, J. A. F.; JESUS, F. G. de. |
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Afiliação: |
CINTHIA LUZIA TEIXEIRA SILVA, Universidade Estadual de Goiás, Ipameri-GO; FERNANDA CORREA, Universidade Estadual de Goiás, Ipameri-GO; ANDRÉ CIRILO DE SOUSA ALMEIDA, Instituto Federal Goiano, Urutaí-GO; MÁRCIO DA SILVA ARAÚJO, Universidade Estadual de Goiás, Ipameri-GO; JOSE ALEXANDRE F BARRIGOSSI, CNPAF; FLÁVIO GONÇALVES DE JESUS, Instituto Federal Goiano, Urutaí-GO. |
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Título: |
Resistance of rice genotypes to fall armyworm Spodoptera frugiperda (Lepidoptera: Noctuidae). |
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Ano de publicação: |
2021 |
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Fonte/Imprenta: |
Revista Brasileira de Entomologia, v. 65, n. 3, e20210020, 2021. |
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ISSN: |
1806-9665 |
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DOI: |
https://doi.org/10.1590/1806-9665-RBENT-2021-0020 |
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Idioma: |
Inglês |
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Conteúdo: |
The fall armyworm, Spodoptera frugiperda (J. E. Smith) (Lepidoptera: Noctuidae), is an important rice pest which consumes leaf area during all phases of plant development. The objective of this study was to identify rice genotypes that provide antixenosis and antibiosis to fall armyworm. Antixenosis was investigated by measuring non-preference in free-choice and no-choice tests while antibiosis was determined by measuring biological parameters and nutritional indices of S. frugiperda in twelve rice genotypes. The genotype Miúdo Branco showed antixenosis to S. frugiperda, whereas the genotypes IR 64 and Bacaba Branco showed antibiosis to S. frugiperda by affecting insect development and prolonging insect life cycle. Insects that fed on Bacaba Branco genotype demonstrated the lowest nutritional indices. Since Miúdo Branco, IR 64 and Bacaba Branco showed moderate resistance, rice producers could use these genotypes as part of a control strategy for S. frugiperda. |
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Thesagro: |
Arroz; Oryza Sativa; Praga de Planta; Spodoptera Frugiperda. |
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Thesaurus NAL: |
Antibiosis; Antixenosis; Host plants; Rice. |
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Categoria do assunto: |
O Insetos e Entomologia |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/228224/1/rbe-2021.pdf
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Marc: |
LEADER 01871naa a2200301 a 4500
001 2136739
005 2021-12-08
008 2021 bl uuuu u00u1 u #d
022 $a1806-9665
024 7 $ahttps://doi.org/10.1590/1806-9665-RBENT-2021-0020$2DOI
100 1 $aSILVA, C. L. T.
245 $aResistance of rice genotypes to fall armyworm Spodoptera frugiperda (Lepidoptera$bNoctuidae).$h[electronic resource]
260 $c2021
520 $aThe fall armyworm, Spodoptera frugiperda (J. E. Smith) (Lepidoptera: Noctuidae), is an important rice pest which consumes leaf area during all phases of plant development. The objective of this study was to identify rice genotypes that provide antixenosis and antibiosis to fall armyworm. Antixenosis was investigated by measuring non-preference in free-choice and no-choice tests while antibiosis was determined by measuring biological parameters and nutritional indices of S. frugiperda in twelve rice genotypes. The genotype Miúdo Branco showed antixenosis to S. frugiperda, whereas the genotypes IR 64 and Bacaba Branco showed antibiosis to S. frugiperda by affecting insect development and prolonging insect life cycle. Insects that fed on Bacaba Branco genotype demonstrated the lowest nutritional indices. Since Miúdo Branco, IR 64 and Bacaba Branco showed moderate resistance, rice producers could use these genotypes as part of a control strategy for S. frugiperda.
650 $aAntibiosis
650 $aAntixenosis
650 $aHost plants
650 $aRice
650 $aArroz
650 $aOryza Sativa
650 $aPraga de Planta
650 $aSpodoptera Frugiperda
700 1 $aCORREA, F.
700 1 $aALMEIDA, A. C. de S.
700 1 $aARAÚJO, M. da S.
700 1 $aBARRIGOSSI, J. A. F.
700 1 $aJESUS, F. G. de
773 $tRevista Brasileira de Entomologia$gv. 65, n. 3, e20210020, 2021.
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Registro original: |
Embrapa Arroz e Feijão (CNPAF) |
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Tipo/Formato |
Classificação |
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