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Registro Completo |
Biblioteca(s): |
Embrapa Hortaliças; Embrapa Semiárido. |
Data corrente: |
13/11/1997 |
Data da última atualização: |
22/08/2022 |
Tipo da produção científica: |
Resumo em Anais de Congresso |
Autoria: |
LIMA, M. F.; BARBOSA, L. F.; AVILA, A. C. de. |
Afiliação: |
MIRTES FREITAS LIMA, CPATSA. |
Título: |
Levantamento das espécies de tospovirus na cultura do tomate na região do Submédio São Francisco, através de DAS-ELISA. |
Ano de publicação: |
1997 |
Fonte/Imprenta: |
Fitopatologia Brasileira, v. 22, p. 340, 1997. |
Idioma: |
Português |
Notas: |
Suplemento. Edição dos Resumos do 30 Congresso Brasileiro de Fitopatologia, Poços de Caldas, 1997. |
Conteúdo: |
A identificação das espécies de tospovírus nas amostras foi feita em formato duplo anticorpo (DAS-ELISA). |
Palavras-Chave: |
Brasil; DAS-ELISA; Disease; Ocorrencia; Submedio Sao Francisco; Survey. |
Thesagro: |
Doença; Levantamento; Lycopersicon Esculentum; Tomate; Vírus. |
Thesaurus Nal: |
Brazil; occurrence; tomatoes; Tospovirus. |
Categoria do assunto: |
-- H Saúde e Patologia |
URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/181364/1/Fitopatologia-Brasileira-v.22-p.340-1997.pdf
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Marc: |
LEADER 01086nam a2200325 a 4500 001 1132385 005 2022-08-22 008 1997 bl uuuu u00u1 u #d 100 1 $aLIMA, M. F. 245 $aLevantamento das espécies de tospovirus na cultura do tomate na região do Submédio São Francisco, através de DAS-ELISA.$h[electronic resource] 260 $aFitopatologia Brasileira, v. 22, p. 340$c1997 500 $aSuplemento. Edição dos Resumos do 30 Congresso Brasileiro de Fitopatologia, Poços de Caldas, 1997. 520 $aA identificação das espécies de tospovírus nas amostras foi feita em formato duplo anticorpo (DAS-ELISA). 650 $aBrazil 650 $aoccurrence 650 $atomatoes 650 $aTospovirus 650 $aDoença 650 $aLevantamento 650 $aLycopersicon Esculentum 650 $aTomate 650 $aVírus 653 $aBrasil 653 $aDAS-ELISA 653 $aDisease 653 $aOcorrencia 653 $aSubmedio Sao Francisco 653 $aSurvey 700 1 $aBARBOSA, L. F. 700 1 $aAVILA, A. C. de
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Registro original: |
Embrapa Semiárido (CPATSA) |
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Registro Completo
Biblioteca(s): |
Embrapa Algodão. |
Data corrente: |
15/01/2020 |
Data da última atualização: |
20/01/2020 |
Tipo da produção científica: |
Artigo em Periódico Indexado |
Autoria: |
MARTINS, S. M.; BRITO, G. G. de; GONCALVES, W. da C.; TRIPODE, B. M. D.; LARTAUD, M.; DUARTE, J. B.; MORELLO, C. de L.; GIBAND, M. |
Afiliação: |
Saulo Muniz Martins, Universidade Federal de Goiás - UFG/Setor de Genética e Melhoramento de Plantas; GIOVANI GREIGH DE BRITO, CNPA; WASHINGTON DA CONCEICAO GONCALVES, CNPA; BRUNA MENDES DINIZ TRIPODE, CNPA; Marc Lartaud, Cirad/UMR AGAP; João Batista Duarte, Universidade Federal de Goiás - UFG/Setor de Genética e Melhoramento de Plantas; CAMILO DE LELIS MORELLO, CNPA; Marc Giband, Cirad/UMR AGAP. |
Título: |
PhenoRoots: an inexpensive non-invasive phenotyping system to assess the variability of the root system architecture. |
Ano de publicação: |
2020 |
Fonte/Imprenta: |
Scientia Agricola, v. 77, n. 5, e20180420, 2020. |
Idioma: |
Inglês |
Conteúdo: |
The root system architecture (RSA) of plants and its functioning play a fundamental role in a number of plant growth mechanisms including water and nutrient uptake. Optimization of the RSA is important for stable and increased plant productivity under adverse conditions. Despite its great importance, studying the RSA is notoriously laborious because of the difficulty of accessing the rooting system of plants. We developed a root phenotyping platform, PhenoRoots, which allows for the non-invasive study of plant RSA. The system was built using inexpensive material and was designed to provide medium throughput. Substrate-or soil-filled rhizotrons are used to grow plantlets, whose roots are directly visible through a glass plate. An experiment conducted on a panel of twenty Upland cotton (Gossypium hirsutum L.) varieties demonstrated the usefulness of the platform in assessing RSA traits. A number of traits, destructive and nondestructive, related to the RSA were measured and statistically analyzed. The non-destructive traits based on image analysis of roots were more accurate and showed high correlation with the time-consuming destructive measurements. The platform allowed for capturing the phenotypic and genetic variability found in the panel of cotton varieties, and to define three contrasting RSA patterns. PhenoRoots provides an inexpensive alternative to the medium throughput analysis of RSA traits in plants. |
Palavras-Chave: |
Medium-throughput; Rhizotron; Root traits. |
Thesaurus NAL: |
Cotton; Image analysis. |
Categoria do assunto: |
-- |
URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/208880/1/PhenoRoots-an-inexpensive-non-invasive.pdf
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Marc: |
LEADER 02209naa a2200265 a 4500 001 2118821 005 2020-01-20 008 2020 bl uuuu u00u1 u #d 100 1 $aMARTINS, S. M. 245 $aPhenoRoots$ban inexpensive non-invasive phenotyping system to assess the variability of the root system architecture.$h[electronic resource] 260 $c2020 520 $aThe root system architecture (RSA) of plants and its functioning play a fundamental role in a number of plant growth mechanisms including water and nutrient uptake. Optimization of the RSA is important for stable and increased plant productivity under adverse conditions. Despite its great importance, studying the RSA is notoriously laborious because of the difficulty of accessing the rooting system of plants. We developed a root phenotyping platform, PhenoRoots, which allows for the non-invasive study of plant RSA. The system was built using inexpensive material and was designed to provide medium throughput. Substrate-or soil-filled rhizotrons are used to grow plantlets, whose roots are directly visible through a glass plate. An experiment conducted on a panel of twenty Upland cotton (Gossypium hirsutum L.) varieties demonstrated the usefulness of the platform in assessing RSA traits. A number of traits, destructive and nondestructive, related to the RSA were measured and statistically analyzed. The non-destructive traits based on image analysis of roots were more accurate and showed high correlation with the time-consuming destructive measurements. The platform allowed for capturing the phenotypic and genetic variability found in the panel of cotton varieties, and to define three contrasting RSA patterns. PhenoRoots provides an inexpensive alternative to the medium throughput analysis of RSA traits in plants. 650 $aCotton 650 $aImage analysis 653 $aMedium-throughput 653 $aRhizotron 653 $aRoot traits 700 1 $aBRITO, G. G. de 700 1 $aGONCALVES, W. da C. 700 1 $aTRIPODE, B. M. D. 700 1 $aLARTAUD, M. 700 1 $aDUARTE, J. B. 700 1 $aMORELLO, C. de L. 700 1 $aGIBAND, M. 773 $tScientia Agricola$gv. 77, n. 5, e20180420, 2020.
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Embrapa Algodão (CNPA) |
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