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Registro Completo |
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Biblioteca(s): |
Embrapa Semiárido. |
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Data corrente: |
04/10/2022 |
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Data da última atualização: |
04/10/2022 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Autoria: |
SANTOS, J. L. F. dos; SOUZA, F. de F.; BOREL, J. C.; CASTRO, J. M. da C. e; CAPUCHO, A. S. |
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Afiliação: |
JOHN LENNON FERRREIRA DOS SANTOS, UNIVASF; FLAVIO DE FRANCA SOUZA, CPATSA; JERÔNIMO CONSTANTINO BOREL, UNIVASF; JOSE MAURO DA CUNHA E CASTRO, CPATSA; ALEXANDRE SANDRI CAPUCHO, UNIVASF. |
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Título: |
Identification of sources of resistance to Meloidogyne enterolobii in acerola. |
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Ano de publicação: |
2021 |
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Fonte/Imprenta: |
Revista Caatinga, v. 34, n. 4, p. 879-886, 2021. |
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DOI: |
https://doi.org/10.1590/1983-21252021v34n415rc |
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Idioma: |
Inglês |
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Conteúdo: |
In Brazil, acerola trees infested by Meloidogyne enterolobii present lower yield and fruit quality. The use of rootstocks resistant to this pathogen is one of the alternatives to overcome this problem. This study aimed to assess the reaction of 22 acerola accessions to M. enterolobii, aiming to identify at least one resistant rootstock. The experiment was carried out in a randomized block design with 10 replications and each plot consisting of 10 plants. Each plant was inoculated with 350 eggs and second-stage juveniles of M. enterolobii, with the gall index (GI) and reproduction factor (RF) being determined after 90 days. The variables were analyzed using the mixed model methodology (REML/BLUP). The accessions ACO-13, ACO-14, ACO- 18, and BRS Apodi stood out with four to six plants showing resistance reaction to the root-knot nematode, but the assessment of accessions should be performed under a higher density inoculum and longer time |
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Palavras-Chave: |
Meloidogyne enterolobii; Nematoides-das-galhas; West indian cherry. |
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Thesagro: |
Acerola; Doença; Porta Enxerto. |
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Thesaurus Nal: |
Malpighia emarginata; Root-knot nematodes; Rootstocks. |
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Categoria do assunto: |
H Saúde e Patologia |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/doc/1147104/1/Identification-of-sources-of-resistance-to-Meloidogyne-enterolobii-in-acerola-2021.pdf
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Marc: |
LEADER 01818naa a2200289 a 4500
001 2147104
005 2022-10-04
008 2021 bl uuuu u00u1 u #d
024 7 $ahttps://doi.org/10.1590/1983-21252021v34n415rc$2DOI
100 1 $aSANTOS, J. L. F. dos
245 $aIdentification of sources of resistance to Meloidogyne enterolobii in acerola.$h[electronic resource]
260 $c2021
520 $aIn Brazil, acerola trees infested by Meloidogyne enterolobii present lower yield and fruit quality. The use of rootstocks resistant to this pathogen is one of the alternatives to overcome this problem. This study aimed to assess the reaction of 22 acerola accessions to M. enterolobii, aiming to identify at least one resistant rootstock. The experiment was carried out in a randomized block design with 10 replications and each plot consisting of 10 plants. Each plant was inoculated with 350 eggs and second-stage juveniles of M. enterolobii, with the gall index (GI) and reproduction factor (RF) being determined after 90 days. The variables were analyzed using the mixed model methodology (REML/BLUP). The accessions ACO-13, ACO-14, ACO- 18, and BRS Apodi stood out with four to six plants showing resistance reaction to the root-knot nematode, but the assessment of accessions should be performed under a higher density inoculum and longer time
650 $aMalpighia emarginata
650 $aRoot-knot nematodes
650 $aRootstocks
650 $aAcerola
650 $aDoença
650 $aPorta Enxerto
653 $aMeloidogyne enterolobii
653 $aNematoides-das-galhas
653 $aWest indian cherry
700 1 $aSOUZA, F. de F.
700 1 $aBOREL, J. C.
700 1 $aCASTRO, J. M. da C. e
700 1 $aCAPUCHO, A. S.
773 $tRevista Caatinga$gv. 34, n. 4, p. 879-886, 2021.
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Registro original: |
Embrapa Semiárido (CPATSA) |
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 | Acesso ao texto completo restrito à biblioteca da Embrapa Milho e Sorgo. Para informações adicionais entre em contato com cnpms.biblioteca@embrapa.br. |
Registro Completo
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Biblioteca(s): |
Embrapa Milho e Sorgo. |
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Data corrente: |
27/01/2006 |
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Data da última atualização: |
28/05/2018 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Autoria: |
SENA JUNIOR, D. G.; PINTO, F. A. C.; QUEIROZ, D. M.; VIANA, P. A. |
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Afiliação: |
PAULO AFONSO VIANA, CNPMS. |
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Título: |
Fall armyworm damaged maize plant identification using digital images. |
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Ano de publicação: |
2003 |
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Fonte/Imprenta: |
Biosystems Engineering, London, v. 85, n. 4, p. 449-454, 2003. |
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DOI: |
10.1016/S1537-5110(03)00098-9 |
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Idioma: |
Inglês |
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Conteúdo: |
The objectives of precision agriculture are profit maximisation, agricultural input rationalisation and environmental damage reduction, by adjusting the agricultural practices to the site demands. The fall armyworm (Spodoptera frugiperda) is one of the most important maize pests in Brazil and the use of insecticide is the main control method. It is believed that site-specific control can be implemented by using a machine vision system. The objective of this work was to develop and evaluate an algorithm at simplified lighting conditions for identifying damaged maize plants by the fall armyworm using digital colour images. Images of damaged and non-damaged maize plants were taken in eight different stages and in three different light intensities. The proposed algorithm had two stages: the processing and the image analysis. During the first stage, the images were processed to create binary images where the leaves were segmented from the other pixels. At the second stage, the images were subdivided into blocks and classified as 'damaged' or 'non-damaged' depending on the number of objects found in each block. The algorithm correctly classified 94.72% of 720 images.. |
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Thesagro: |
Agricultura de Precisão; Praga de planta; Spodoptera frugiperda. |
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Categoria do assunto: |
-- |
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Marc: |
LEADER 01818naa a2200205 a 4500
001 1489192
005 2018-05-28
008 2003 bl uuuu u00u1 u #d
024 7 $a10.1016/S1537-5110(03)00098-9$2DOI
100 1 $aSENA JUNIOR, D. G.
245 $aFall armyworm damaged maize plant identification using digital images.$h[electronic resource]
260 $c2003
520 $aThe objectives of precision agriculture are profit maximisation, agricultural input rationalisation and environmental damage reduction, by adjusting the agricultural practices to the site demands. The fall armyworm (Spodoptera frugiperda) is one of the most important maize pests in Brazil and the use of insecticide is the main control method. It is believed that site-specific control can be implemented by using a machine vision system. The objective of this work was to develop and evaluate an algorithm at simplified lighting conditions for identifying damaged maize plants by the fall armyworm using digital colour images. Images of damaged and non-damaged maize plants were taken in eight different stages and in three different light intensities. The proposed algorithm had two stages: the processing and the image analysis. During the first stage, the images were processed to create binary images where the leaves were segmented from the other pixels. At the second stage, the images were subdivided into blocks and classified as 'damaged' or 'non-damaged' depending on the number of objects found in each block. The algorithm correctly classified 94.72% of 720 images..
650 $aAgricultura de Precisão
650 $aPraga de planta
650 $aSpodoptera frugiperda
700 1 $aPINTO, F. A. C.
700 1 $aQUEIROZ, D. M.
700 1 $aVIANA, P. A.
773 $tBiosystems Engineering, London$gv. 85, n. 4, p. 449-454, 2003.
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Embrapa Milho e Sorgo (CNPMS) |
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| 1. |  | 1100056, CANADIAN PLANT DISEASE SURVEY, Research Branch Agriculture Canada, Ottawa-Canada
Biblioteca(s): Catálogo Coletivo de Periódicos Embrapa; Embrapa Agropecuária Oeste; Embrapa Arroz e Feijão; Embrapa Cerrados; Embrapa Clima Temperado; Embrapa Hortaliças; Embrapa Trigo; Embrapa Uva e Vinho. |   |
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