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Registro Completo |
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Biblioteca(s): |
Embrapa Algodão. |
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Data corrente: |
15/01/2020 |
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Data da última atualização: |
20/01/2020 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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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. |
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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. |
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Título: |
PhenoRoots: an inexpensive non-invasive phenotyping system to assess the variability of the root system architecture. |
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Ano de publicação: |
2020 |
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Fonte/Imprenta: |
Scientia Agricola, v. 77, n. 5, e20180420, 2020. |
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Idioma: |
Inglês |
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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. |
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Palavras-Chave: |
Medium-throughput; Rhizotron; Root traits. |
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Thesaurus Nal: |
Cotton; Image analysis. |
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Categoria do assunto: |
-- |
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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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Registro original: |
Embrapa Algodão (CNPA) |
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 | Acesso ao texto completo restrito à biblioteca da Embrapa Agricultura Digital. Para informações adicionais entre em contato com cnptia.biblioteca@embrapa.br. |
Registro Completo
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Biblioteca(s): |
Embrapa Agricultura Digital; Embrapa Meio Ambiente. |
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Data corrente: |
18/02/2009 |
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Data da última atualização: |
28/04/2009 |
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Tipo da produção científica: |
Software |
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Autoria: |
GONZALES, L. E.; VACARI, I.; LENK, L. M.; VISOLI, M. C.; PRAXEDES, M. G. G.; SIMÃO, V. P. M. |
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Afiliação: |
LUIS EDUARDO GONZALES, CNPTIA; ISAQUE VACARI, CNPTIA; LEILA MARIA LENK, CNPTIA; MARCOS CEZAR VISOLI, CNPTIA; MARIA GORETTI GURGEL PRAXEDES, CNPTIA; VICTOR PAULO MARQUES SIMÃO, CNPMA. |
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Título: |
Ainfo4IBICT: Versão 1.0. |
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Ano de publicação: |
2008 |
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Fonte/Imprenta: |
Campinas: Embrapa Informática Agropecuária, 2008. |
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Idioma: |
Português |
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Conteúdo: |
Software criado para exportar a coleção de periódicos da Embrapa para o IBICT. |
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Palavras-Chave: |
Ainfo; Coleção de periódicos; IBICT; Software. |
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Thesagro: |
Tecnologia da informação. |
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Categoria do assunto: |
X Pesquisa, Tecnologia e Engenharia |
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Marc: |
LEADER 00667nam a2200229 a 4500
001 1031413
005 2009-04-28
008 2008 bl uuuu u0uu1 u #d
100 1 $aGONZALES, L. E.
245 $aAinfo4IBICT$bVersão 1.0.
260 $aCampinas: Embrapa Informática Agropecuária$c2008
520 $aSoftware criado para exportar a coleção de periódicos da Embrapa para o IBICT.
650 $aTecnologia da informação
653 $aAinfo
653 $aColeção de periódicos
653 $aIBICT
653 $aSoftware
700 1 $aVACARI, I.
700 1 $aLENK, L. M.
700 1 $aVISOLI, M. C.
700 1 $aPRAXEDES, M. G. G.
700 1 $aSIMÃO, V. P. M.
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Embrapa Agricultura Digital (CNPTIA) |
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