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| Registros recuperados : 11 | |
| 1. |  | TETILA, E. C.; SILVEIRA, F. A. G. da; COSTA, A. B. da; AMORIM, W. P.; ASTOLFI, G.; PISTORI, H.; BARBEDO, J. G. A. YOLO performance analysis for real-time detection of soybean pests. Smart Agricultural Technology, v. 7, 100405, Mar. 2024.| Biblioteca(s): Embrapa Agricultura Digital. |
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| 2. | | TETILA, E. C.; MACHADO, B. B.; SILVA, G. G. da; PISTORI, H.; BELETE, N. A. de S.; TETILA, J. Q. da S.; BARBEDO, J. G. A. Um sistema de visão computacional para reconhecimento de doenças da soja usando VANTs: resultados preliminares. Revista Caribeña de Ciencias Sociales, v. 12, n. 3, p. 1275-1292, 2023.| Biblioteca(s): Embrapa Agricultura Digital. |
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| 3. | | OSCO, L. P.; MARCATO JUNIOR, J.; RAMOS, A. P. M.; JORGE, L. A. de C.; FATHOLAHI, S. N.; SILVA, J. A.; MATSUBARA, E. T.; PISTORI, H.; GONÇALVES, W. N.; LI, J. A review on deep learning in UAV remote sensing. International Journal of Applied Earth Observations and Geoinformation, v. 102, 102456, 2021. 1 - 22| Biblioteca(s): Embrapa Instrumentação. |
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| 4. | | WEBER, V. A. M.; WEBER, F. de L.; OLIVEIRA, A. da S.; ASTOLFI, G.; MENEZES, G. V.; PORTO, J. V. de A.; REZENDE, F. P. C.; MORAES, P. H. de; MATSUBARA, E. T.; MATEUS, R. G.; ARAÚJO, T. L. A. C. de; SILVA, L. O. C. da; QUEIROZ, E. Q, A. de; ABREU, U. G. P. de; GOMES, R. da C.; PISTORI, H. Cattle weight estimation using active contour models and regression trees Bagging . Computers and Electronics in Agriculture, v.179, 105804, p. 1-12, dec, 2020.| Biblioteca(s): Embrapa Pantanal. |
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| 5. | | WEBER, F. de L.; WEBER, V. A. de M.; MENEZES, G. V.; OLIVEIRA JUNIOR, A. da S.; ALVES, D. A.; OLIVEIRA, M. V. M. de; MATSUBARA, E. T.; PISTORI, H.; ABREU, U. G. P. de. Recognition of Pantaneira cattle breed using computer vision and convolutional neural networks. Computers and Electronics in Agriculture, v. 175, 105548, p. 1-9, 2020.| Biblioteca(s): Embrapa Pantanal. |
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| 6. | | WEBER, V. A. de M.; WEBER, F. de L.; GOMES, R. da C.; OLIVEIRA JUNIOR, A. da S.; MENEZES, G. V.; ABREU, U. G. P. de; BELETE, N. A. de S.; PISTORI, H. Prediction of Girolando cattle weight by means of body measurements extracted from images. Revista Brasileira de Zootecnia. v. 49, e20190110, 2020.| Biblioteca(s): Embrapa Gado de Corte; Embrapa Pantanal. |
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| 7. | | WEBER, F. de L.; WEBER, V. A. de M.; MENEZES, G.; OLIVEIRA JUNIOR, A. da S.; ALVES, D. A.; OLIVEIRA, M. V. M. de; PISTORI, H.; ABREU, U. G. P. de. Reconhecimento de bovino pantaneiro utilizando visão computacional através da rede neural convolucional: resultados preliminares. In: CONGRESSO BRASILEIRO DE AGROINFORMÁTICA, 12., 2019, Indaiatuba. Anais... Indaiatuba: FATEC; Campinas: Embrapa Informática Agropecuária; Ponta Grossa: UEPG, 2019. p. 535-536. SBIAGRO 2019.| Biblioteca(s): Embrapa Pantanal. |
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| 8. | | OLIVEIRA, C. E.; LIMA, L. R. de; OLIVEIRA, G. R. A. de; GONÇALVES, A. B.; PISTORI, H.; KOLLER, W. W. Computer vision for larval structures identification applied to forensic science. In: WORKSHOP DE VISÃO COMPUTACIONAL WVC'2016, 12., 2016. Campo Grande, MS. Proceedings... Campo Grande: UCDB/UFMS/UFGD, p. 266-270, nov. 2016.| Biblioteca(s): Embrapa Gado de Corte. |
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| 9. | | VILPOUX, O. F.; YOSHIHARA, P. H. F.; PISTORI, H.; ÍTAVO, L. C. V.; CEREDA, M. C. Criação de ovinos com ração a base de mandioca integral com tecnologia apropriada para agricultura familiar. Revista Brasileira de Gestão e Desenvolvimento Regional, Taubaté, v. 9, n. 1, p. 211-235, jan./mar. 2013.| Biblioteca(s): Embrapa Caprinos e Ovinos. |
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| Registros recuperados : 11 | |
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 | Acesso ao texto completo restrito à biblioteca da Embrapa Agrobiologia. Para informações adicionais entre em contato com cnpab.biblioteca@embrapa.br. |
Registro Completo
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Biblioteca(s): |
Embrapa Agrobiologia. |
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Data corrente: |
29/11/2018 |
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Data da última atualização: |
08/01/2021 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Circulação/Nível: |
A - 1 |
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Autoria: |
THIOYE, B.; Redecker, d.; VAN TUINEN, D.; KANE, A.; FARIA, S. M. de; FALL, D.; Sanogo, D.; NDIAYE, C.; DUPONNOIS, R.; SYLLA, S. N.; BÂ. A. M. |
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Afiliação: |
BABACAR THIOYE, RD/ISRA/UCAD, DAKAR, SE; Dirk Redecker, CNRS, INRA, Dijon, FR; DIEDERIK VAN TUINEN, INRA, Dijon, Francwe; ABOUBACRY KANE, RD/ISRA/UCAD - Dakar, Senegal; SERGIO MIANA DE FARIA, CNPAB; Dioumacor Fall, Centre National de Recherches Forestières, Dakar, Senegal; Diaminatou Sanogo, Centre National de RecherchesForestières, Dakar, Senegal; CHEIKH NDIAYE, IRD/ISRA/UCAD - Dakar, Senegal; ROBIN DUPONNOIS, INRA, Montpellier, France; SAMBA NDAO SYLLA, INRA - Montpellier, France; AMADOU MUSTAPHA BÂ, INRA, FRANCE. |
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Título: |
Tracing Rhizophagus irregularis isolate IR27 in Ziziphus mauritiana roots under field conditions. |
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Ano de publicação: |
2019 |
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Fonte/Imprenta: |
Mycorrhiza, v. 29, p. 77-83, 2019. |
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DOI: |
https://doi.org/10.1007/s00572-018-0875-3 |
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Idioma: |
Português |
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Notas: |
Correções de autoria recomendada: Mycorrhiza, v. 30, p. 171
https://doi.org/10.1007/s00572-020-00935-1
The revised author group is now: Babacar Thioye, DirkRedecker, Diederik van Tuinen, Aboubacry Kane, SergioMania de Faria, Dioumacor Fall, Diaminatou Sanogo,Cheikh Ndiaye, Robin Duponnois, Samba Ndao Sylla andAmadou Mustapha Bâ.Please use this authorship list when citing this article |
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Conteúdo: |
Arbuscular mycorrhizal fungi (AMF) play a major role as biofertilizer for sustainable agriculture. Nevertheless, it is still poorly documented whether inoculated AMF can successfully establish in field soils as exotic AMF and improve plant growth and productivity. Further, the fate of an exogenous inoculum is still poorly understood. Here, we pre-inoculated two cultivars (Tasset and Gola) of the fruit tree Ziziphus mauritiana (jujube) with the exotic AM fungus Rhizophagus irregularis isolate IR27 before transplantation in the field. In two experiments, tracking and quantification of R. irregularis IR27 were assessed in a 13-monthold jujube and an 18-month-old jujube in two fields located in Senegal. Our results showed that the inoculant R. irregularis IR27 was quantitatively traced and discriminated from native R. irregularis isolates in roots by using a qPCR assay targeting a agment of the RNA polymerase II gene (RPB1), and that the inoculum represented only fractions ranging from 11 to 15% of the Rhizophagus genus in the two plantations 13 and 18 months after transplantation, respectively. This study validates the use of the RPB1 gene as marker for a relative quantification of a mycorrhizal inoculant fungus isolate in the field. |
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Palavras-Chave: |
Arbuscular mycorrhizal fungi; Inoculant; Jujube. |
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Categoria do assunto: |
S Ciências Biológicas |
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Marc: |
LEADER 02472naa a2200301 a 4500
001 2100384
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008 2019 bl uuuu u00u1 u #d
024 7 $ahttps://doi.org/10.1007/s00572-018-0875-3$2DOI
100 1 $aTHIOYE, B.
245 $aTracing Rhizophagus irregularis isolate IR27 in Ziziphus mauritiana roots under field conditions.$h[electronic resource]
260 $c2019
500 $aCorreções de autoria recomendada: Mycorrhiza, v. 30, p. 171 https://doi.org/10.1007/s00572-020-00935-1 The revised author group is now: Babacar Thioye, DirkRedecker, Diederik van Tuinen, Aboubacry Kane, SergioMania de Faria, Dioumacor Fall, Diaminatou Sanogo,Cheikh Ndiaye, Robin Duponnois, Samba Ndao Sylla andAmadou Mustapha Bâ.Please use this authorship list when citing this article
520 $aArbuscular mycorrhizal fungi (AMF) play a major role as biofertilizer for sustainable agriculture. Nevertheless, it is still poorly documented whether inoculated AMF can successfully establish in field soils as exotic AMF and improve plant growth and productivity. Further, the fate of an exogenous inoculum is still poorly understood. Here, we pre-inoculated two cultivars (Tasset and Gola) of the fruit tree Ziziphus mauritiana (jujube) with the exotic AM fungus Rhizophagus irregularis isolate IR27 before transplantation in the field. In two experiments, tracking and quantification of R. irregularis IR27 were assessed in a 13-monthold jujube and an 18-month-old jujube in two fields located in Senegal. Our results showed that the inoculant R. irregularis IR27 was quantitatively traced and discriminated from native R. irregularis isolates in roots by using a qPCR assay targeting a agment of the RNA polymerase II gene (RPB1), and that the inoculum represented only fractions ranging from 11 to 15% of the Rhizophagus genus in the two plantations 13 and 18 months after transplantation, respectively. This study validates the use of the RPB1 gene as marker for a relative quantification of a mycorrhizal inoculant fungus isolate in the field.
653 $aArbuscular mycorrhizal fungi
653 $aInoculant
653 $aJujube
700 1 $aRedecker, d.
700 1 $aVAN TUINEN, D.
700 1 $aKANE, A.
700 1 $aFARIA, S. M. de
700 1 $aFALL, D.
700 1 $aSanogo, D.
700 1 $aNDIAYE, C.
700 1 $aDUPONNOIS, R.
700 1 $aSYLLA, S. N.
700 1 $aBÂ. A. M.
773 $tMycorrhiza$gv. 29, p. 77-83, 2019.
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