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| Registros recuperados : 73 | |
| 61. |  | GONÇALVES, Z. S.; LIMA, L. K. S.; SAMPAIO, S. R.; SANTOS, I. S.; SOARES, T. L.; JESUS, O. N. de; SILVA, C. B. M. C.; CORRÊA, R. X. Reação de Passiflora ao CABMV: Ensaio preliminar para seleção de genótipos contrastantes (resistente x suscetível) visando análise do transcriptoma (RNA-Seq). In : JORNADA CIENTÍFICA EMBRAPA MANDIOCA E FRUTICULTURA, 12., 2018. Ciência profissional : resumos. Cruz das Almas, BA: Embrapa Mandioca e Fruticultura, 2019. 1 p.| Biblioteca(s): Embrapa Mandioca e Fruticultura. |
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| 62. | | CRUZ, L. S. da; SANTOS, I. S. dos; SAMPAIO, S. R.; LIMA, L. K. S.; ROSA, R. C. C.; JESUS, O. N. de. Qualidade química de frutos de maracujá de casca roxa produzidos em sistema orgânico de produção. In: JORNADA CIENTÍFICA EMBRAPA MANDIOCA E FRUTICULTURA, 14., 2020. Ciência em tempos de crise: resumos. Cruz das Almas, BA: Embrapa Mandioca e Fruticultura, 2020. 112 p. il.| Biblioteca(s): Embrapa Mandioca e Fruticultura. |
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| 63. | | JESUS, O. N. de; GIRARDI, E. A.; LIMA, L. K. S.; SAMPAIO, S. R.; SANTOS, I. S. dos; JESUS, C. A. S. de; ROSA, R. C. C. Produção de mudas de maracujazeiro amarelo pelo método de estaquia. Cruz das Almas, BA: Embrapa Mandioca e Fruticultura, 2018 22p. il. (Embrapa Mandioca e Fruticultura. oletim de Pesquisa e Desenvolvimento, 98).| Biblioteca(s): Embrapa Agrobiologia; Embrapa Mandioca e Fruticultura. |
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| 64. | | MOURA, R. dos S.; GHEYI, H. R.; COELHO FILHO, M. A.; JESUS, O. N. de; SÁ, F. V. da S.; LIMA, L. K. S. Tolerance of passion fruit species under salt stress. International Journal of Current Research, v. Issue, 09, p.37689-37695, September, 2016.| Biblioteca(s): Embrapa Mandioca e Fruticultura. |
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| 65. | | MOURA, R. dos S.; SOARES, T. L.; LIMA, L. K. S.; GHEYI, H. R.; JESUS, O. N. de; COELHO FILHO, M. A. Salinity-induced changes in biometric, physiological and anatomical parameters of Passiflora edulis Sims plants propagated by different methods. Archives of Agronomy and Soil Science, v. 66, Issue. 12, 2020.| Biblioteca(s): Embrapa Mandioca e Fruticultura. |
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| 66. | | SAMPAIO, S. R.; SANTOS, I. S. dos; GONÇALVES, Z. S.; LIMA, L. K. S.; SOARES, T. L.; JESUS, O. N. de; GIRARDI, E. A. Screening para resistência em genótipos de maracujazeiro e avaliação do efeito de diferentes concentrações de inóculo na severidade do CABMV. In : JORNADA CIENTÍFICA EMBRAPA MANDIOCA E FRUTICULTURA, 12., 2018. Ciência profissional : resumos. Cruz das Almas, BA: Embrapa Mandioca e Fruticultura, 2019. 1 p.| Biblioteca(s): Embrapa Mandioca e Fruticultura. |
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| 68. | | ANDRADE, J. DE J.; SAMPAIO, S. R.; SANTOS, I. S. DOS; LIMA, L. K. S.; SANTOS, M. A. DOS; SILVA, A. A. A; TOYOSUMI, I. DA S.; JESUS, O. N. de; PADUA, T. R. P. de. Microrganismo promotor de crescimento na formação de mudas de maracujazeiro azedo em sistema orgânico de produção. In: CIENTÍFICA EMBRAPA MANDIOCA E FRUTICULTURA, 15., 2021. Mulheres na ciência desafios, oportunidades e conquistas. Cruz das Almas, BA: Embrapa Mandioca e Fruticultura, 2021. 109 f. il. PDF.| Biblioteca(s): Embrapa Mandioca e Fruticultura. |
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| 69. | | LIMA, L. K. S.; JESUS, O. N. de; TEIXEIRA, J. H. SANTOS; GUIMARÃES, M. A. S.; CARDOSO, S. C.; BRITO, A. dos S.; ROSA, R. C. C.; GIRARDI, E. A. Performance of graft combinations of Passiflora spp. under tropical semi-arid conditions in Brazil. Fruits, n. 76, n.2, p. 80-92, 2021.| Biblioteca(s): Embrapa Agrobiologia; Embrapa Mandioca e Fruticultura. |
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| 70. | | GONÇALVES, Z. S.; LIMA, L. K. S.; SOARES, T. L.; ABREU, E. F. M.; BARBOSA, C. de J.; CERQUEIRA-SILVA, C. B. M.; JESUS, O. N. de; OLIVEIRA, E. J. de. Identification of Passiflora spp. genotypes resistant to Cowpea aphid-borne mosaic virus and leaf anatomical response under controlled conditions. Scientia Horticulturae, v.231, p. 166?178, 2018.| Biblioteca(s): Embrapa Mandioca e Fruticultura; Embrapa Recursos Genéticos e Biotecnologia. |
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| 71. | | SILVA, L. N. da; SOUZA, M. A. O. de; TOLLER, G.; VIT´´RIA, M F. da; LIMA, L. K. S.; ROSA, R. C. C.; JESUS, O. N. de; GIRARDI, E. A. Desempenho agronômico e severidade da virose do endurecimento dos frutos de maracujazeiro-azedo ‘BRS gigante amarelo’ enxertado em Passiflora gibertii no Norte do Estado de São Paulo. Cruz das Almas, BA : Embrapa Mandioca e Fruticultura, 2023. (Boletim de pesquisa e desenvolvimento. Embrapa Mandioca e Fruticultura, 147).| Biblioteca(s): Embrapa Agrobiologia; Embrapa Mandioca e Fruticultura. |
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| 72. | | JESUS, O. N. de; MACHADO, C. de F.; JUNGHANS, T. G.; OLIVEIRA, E. J. de; GIRARDI, E. A.; FALEIRO, F. G.; ROSA, R. C. C.; SOARES, T. L; LIMA, L. K. S.; SANTOS, I. S. dos; SAMPAIO, S. R.; AGUIAR, F. S.; GONCALVES, Z. S. Recursos Genéticos de Pasiflora L. en Embrapa: pre-mejora y mejoramiento genético. MORERA, M. P.; COSTA, A. M.; FALEIRO, F. G.; CARLOSAMA, A. R.; CARRANZA, C. (Ed.). Maracuyá: de los recursos genéticos al desarollo tecnológico. Brasília, DF: Proimpress, 2018. p. 15-42.| Biblioteca(s): Embrapa Agrobiologia; Embrapa Cerrados. |
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| 73. | | JESUS, O. N. de; MACHADO, C. de F.; JUNGHANS, T. G.; OLIVEIRA, E. J. de; GIRARDI, E. A.; FALEIRO, F. G.; ROSA, R. C. C.; SOARES, T. L.; LIMA, L. K. S.; SANTOS, I. S. dos; SAMPAIO, S. R.; AGUIAR, F. S.; GONCALVES, Z. S. Recursos genéticos de Passiflora L. na Embrapa: pré-melhoramento e melhoramento genético. In: MORERA, M. P.; COSTA, A. M.; FALEIRO, F. G.; CARLOSAMA, A. R.; CARRANZA, C. Maracujá: dos recursos genéticos ao desenvolvimento tecnológico. Brasília, DF: Proimpress, 2018. p. 17-42| Biblioteca(s): Embrapa Agrobiologia; Embrapa Cerrados. |
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| Registros recuperados : 73 | |
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 | Acesso ao texto completo restrito à biblioteca da Embrapa Mandioca e Fruticultura. Para informações adicionais entre em contato com cnpmf.biblioteca@embrapa.br. |
Registro Completo
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Biblioteca(s): |
Embrapa Mandioca e Fruticultura. |
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Data corrente: |
21/12/2022 |
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Data da última atualização: |
21/12/2022 |
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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: |
JESUS, O. N. de; LIMA, L. K. S.; SOARES, T. L.; SILVA, L. N. da; SANTOS, C. S. dos; SAMPAIO, S. R.; OLIVEIRA, E. J. de. |
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Afiliação: |
ONILDO NUNES DE JESUS, CNPMF; LUCAS KENNEDY SILVA LIMA; TALIANE LEILA SOARES, UNIVERSIDADE ESTADUAL DE FEIRA DE SANTANA; LUANA NASCIMENTO DA SILVA, UNIVERSIDADE ESTADUAL DE FEIRA DE SANTANA; CIDALIA SOUZA DOS SANTOS, UNIVERSIDADE FEDERAL DO RECÔNCAVO; SIDNARA RIBEIRO SAMPAIO, UNIVERSIDADE FEDERAL DO RECÔNCAVO; EDER JORGE DE OLIVEIRA, CNPMF. |
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Título: |
Phenotypic diversity and alternative methods for characterization and prediction of pulp yield in passion fruit (Passiflora spp.) germplasm. |
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Ano de publicação: |
2022 |
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Fonte/Imprenta: |
Scientia Horticulturae, v. 292, n.27, 110573, January 2022. |
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Idioma: |
Inglês |
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Conteúdo: |
Abstract The present study provides an assessment of the genetic variability of different genotypes of Passiflora using physical and chemical descriptors and digital image analysis to quantify leaf, flower and fruit coloration as well as to develop and validate mathematical models for the prediction of passion fruit pulp weight without seeds by regression analysis. A total of 132 Passiflora genotypes belonging to different species were evaluated. Eleven quantitative physical and chemical descriptors were submitted to principal component and cluster analysis. The coloration was determined through RGB color space by digital images analysis. The equations were developed through multiple linear regression and cross-validation was used to validate the models. The first principal component (50.6% of total variance) was associated with fruit weight, diameter and length and peel weight, while the second (22.4%) was associated with fruit weight, fruit length, peel weight, peel thickness, soluble solids, fruit length/fruit diameter ratio and fruit length and diameter. Physical and chemical descriptors showed significant diversity among genotypes. In the cluster analysis, the genotypes BGP007 and BGP009 were most closely related, while BGP349 and BGP177 were distinct. The analysis of coloration using digital images allowed detecting greater variability in the color of leaves, flowers, fruits, and pulp. The analysis of digital images is a practical method for ascertaining the color of plant parts in the field or laboratory. The high phenotypic diversity detected in the present study can be used in passion fruit breeding programs through hybridizations. Regression analysis of physical traits revealed five models that could be used to estimate the pulp weight in two equations (13 and 15), which showed the highest R2 values and lowest RMSE and MAE. This model can be reliably adopted for estimation of the pulp weight without seeds of passion fruits (P. edulis Sims). MenosAbstract The present study provides an assessment of the genetic variability of different genotypes of Passiflora using physical and chemical descriptors and digital image analysis to quantify leaf, flower and fruit coloration as well as to develop and validate mathematical models for the prediction of passion fruit pulp weight without seeds by regression analysis. A total of 132 Passiflora genotypes belonging to different species were evaluated. Eleven quantitative physical and chemical descriptors were submitted to principal component and cluster analysis. The coloration was determined through RGB color space by digital images analysis. The equations were developed through multiple linear regression and cross-validation was used to validate the models. The first principal component (50.6% of total variance) was associated with fruit weight, diameter and length and peel weight, while the second (22.4%) was associated with fruit weight, fruit length, peel weight, peel thickness, soluble solids, fruit length/fruit diameter ratio and fruit length and diameter. Physical and chemical descriptors showed significant diversity among genotypes. In the cluster analysis, the genotypes BGP007 and BGP009 were most closely related, while BGP349 and BGP177 were distinct. The analysis of coloration using digital images allowed detecting greater variability in the color of leaves, flowers, fruits, and pulp. The analysis of digital images is a practical method for ascertaining the color of p... Mostrar Tudo |
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Thesagro: |
Maracujá. |
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Categoria do assunto: |
-- |
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Marc: |
LEADER 02651naa a2200205 a 4500
001 2150211
005 2022-12-21
008 2022 bl uuuu u00u1 u #d
100 1 $aJESUS, O. N. de
245 $aPhenotypic diversity and alternative methods for characterization and prediction of pulp yield in passion fruit (Passiflora spp.) germplasm.$h[electronic resource]
260 $c2022
520 $aAbstract The present study provides an assessment of the genetic variability of different genotypes of Passiflora using physical and chemical descriptors and digital image analysis to quantify leaf, flower and fruit coloration as well as to develop and validate mathematical models for the prediction of passion fruit pulp weight without seeds by regression analysis. A total of 132 Passiflora genotypes belonging to different species were evaluated. Eleven quantitative physical and chemical descriptors were submitted to principal component and cluster analysis. The coloration was determined through RGB color space by digital images analysis. The equations were developed through multiple linear regression and cross-validation was used to validate the models. The first principal component (50.6% of total variance) was associated with fruit weight, diameter and length and peel weight, while the second (22.4%) was associated with fruit weight, fruit length, peel weight, peel thickness, soluble solids, fruit length/fruit diameter ratio and fruit length and diameter. Physical and chemical descriptors showed significant diversity among genotypes. In the cluster analysis, the genotypes BGP007 and BGP009 were most closely related, while BGP349 and BGP177 were distinct. The analysis of coloration using digital images allowed detecting greater variability in the color of leaves, flowers, fruits, and pulp. The analysis of digital images is a practical method for ascertaining the color of plant parts in the field or laboratory. The high phenotypic diversity detected in the present study can be used in passion fruit breeding programs through hybridizations. Regression analysis of physical traits revealed five models that could be used to estimate the pulp weight in two equations (13 and 15), which showed the highest R2 values and lowest RMSE and MAE. This model can be reliably adopted for estimation of the pulp weight without seeds of passion fruits (P. edulis Sims).
650 $aMaracujá
700 1 $aLIMA, L. K. S.
700 1 $aSOARES, T. L.
700 1 $aSILVA, L. N. da
700 1 $aSANTOS, C. S. dos
700 1 $aSAMPAIO, S. R.
700 1 $aOLIVEIRA, E. J. de
773 $tScientia Horticulturae$gv. 292, n.27, 110573, January 2022.
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