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| Registros recuperados : 302 | |
| 241. |  | JESUS, O. N. de; MACHADO, C. de F.; SOARES, T. L.; JUNGHANS, T. G.; OLIVEIRA, E. J. de; FALEIRO, F. G. Recursos genéticos de Passiflra en Embrapa Mandioca e Fruticultura. In: CONGRESO LATINOAMERICANO DE PASSIFLORA, 1., 2013, Neiva, Colombia. Libro de Memorias... Neiva: CEPASS HUILA, 2013. p.24-35| Biblioteca(s): Embrapa Mandioca e Fruticultura. |
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| 242. | | JESUS, O. N. de; SILVA, S. de O. e; FERREIRA, C. F.; CÂMARA, T. R.; SOARES, T. L.; PESTANA. K. N.; SANTOS, V. J. dos. Caracterização morfológica e molecular na identificação varietal de bananeira. In: CONGRESSO BRASILEIRO DE MELHORAMENTO DE PLANTAS, 4., 2007, São Lourenço. São Lourenço:[s.n.], 2007. Vânia Jesus dos Santos, UFRB.| Biblioteca(s): Embrapa Mandioca e Fruticultura. |
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| 243. | | JESUS, O. N. de; FERREIRA, C. F.; SILVA, S. de O. e; CÂMARA, T. R.; SOARES, T. L.; PESTANA, K. N. Characterization of recommended banana cultivars using morphological and molecular descriptors. Crop Breeding and Applied Biotechnology, Londrina, v. 9, n. 2, p. 164-173, jun. 2009.| Biblioteca(s): Embrapa Agricultura Digital; Embrapa Mandioca e Fruticultura. |
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| 244. | | ARAÚJO, L. DA S.; JESUS, O. N. de; COSTA, E. M. R.; SOARES, T. L.; SANTOS, I. S, DOS; ARAÚJO, D. M. S. Caracterização de acessos e híbridos de maracujazeiro por meio de descritores morfológicos. In: CONGRESSO BRASILEIRO DE RECURSOS GENÉTICOS, 3., 2014, Santos. Anais... Brasília, DF: Sociedade Brasileira de Recursos Genéticos, 2014.| Biblioteca(s): Embrapa Mandioca e Fruticultura. |
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| 245. | | FREITAS, J. P. X. de; OLIVEIRA, E. J. de; JESUS, O. N. de; CRUZ NETO, A. J. da; SANTOS, L. R. dos. Formação de população base para seleção recorrente em maracujazeiro-amarelo com uso de índices de seleção. Pesquisa Agropecuária Brasileira, Brasília, v. 47, n. 3, p. 393-401, mar. 2012.| Biblioteca(s): Embrapa Mandioca e Fruticultura; Embrapa Unidades Centrais. |
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| 247. | | JESUS, O. N. de; SOARES, T. L.; OLIVEIRA, E. J. de; SANTOS, T. C. P.; FARIAS, D. H.; BRUCKNER, C. H.; NOVAES, Q. S. Evaluation of the morphologic, pollen viability and germination in progeny of the first backcross generation of passionfruit. In: INTERNATIONAL HORTICULTURAL CONGRESS, 29., 2014, Brisbane. Sustaining lives, livelihoods and landscapes. [Abstracts...]. Brisbane: AuSHS : ISHS, 2014.| Biblioteca(s): Embrapa Mandioca e Fruticultura. |
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| 248. | | MOURA, R. dos S.; GHEYI, H. R.; COELHO FILHO, M. A.; JESUS, O. N. de; LIMA, L. K. S.; CRUZ, C. S. da. Formation of seedlings of species from the genus passiflora under saline stress. Bioscience Journal, Uberlândia, v. 33, n. 5, p. 1197-1207, Sept./Oct. 2017.| Biblioteca(s): Embrapa Mandioca e Fruticultura. |
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| 250. | | COSTA, J. L.; OLIVEIRA, E. J. de; JESUS, O. N. de; OLIVEIRA, G. A. F.; NEVES, C. G.; CASTRO, J. A. Estudo de diversidade genética em Passiflora edulis Sims com o uso de marcadores ISSR. In: CONGRESSO BRASILEIRO DE FRUTICULTURA, 21., 2010, Natal. Frutas: saúde, inovação e responsabilidade: anais. Natal: Sociedade Brasileira de Fruticultura, 2010. pdf 913| Biblioteca(s): Embrapa Mandioca e Fruticultura. |
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| 251. | | VIDA, A. M.; SOARES, T. L.; OLIVEIRA, E. J. de; JESUS, O. N. de; SOUZA, F. V. D.; CERQUEIRA, T. T. de; SEREJO, J. A. dos S. Germinação in vitro e viabilidade polínica em Passifloras silvestres. In: CONGRESSO BRASILEIRO DE MELHORAMENTO DE PLANTAS, 6., 2011, Búzios. Panorama atual e perspectivas do melhoramento de plantas no Brasil: [anais]. Búzios: Sociedade Brasileira de Melhoramento de Plantas, 2011. 1-CD ROM. 4 p.| Biblioteca(s): Embrapa Mandioca e Fruticultura. |
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| 252. | | SILVA, A. S.; OLIVEIRA, E. J. de; HADDAD, F.; OLIVEIRA, S. A. S. de; JESUS, O. N. de; BARBOSA, F. F. L. Identificação de fontes de resistência à fusariose do maracujazeiro. Tropical Plant Pathology, v.36, n.3,Brasília, ago, 2011. Suplemento. 1 PDF. 818.| Biblioteca(s): Embrapa Mandioca e Fruticultura. |
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| 253. | | SAMPAIO, S. R.; SANTOS, I. S. dos; LIMA, L. K. S.; GONÇALVES, Z. S.; SOARES, T. L.; JESUS, O. N. de; GIRARDI, E. A. Identificação de fontes de resistência à virose do endurecimento dos frutos em genótipos de Passiflora spp. In: JORNADA CIENTÍFICA EMBRAPA MANDIOCA E FRUTICULTURA, 17., 2017 Ciência e Empreendedorismo : resumos. Cruz das Almas, BA: Embrapa Mandioca e Fruticultura, 2017. 137p. 1p. Recursos Genéticos| Biblioteca(s): Embrapa Mandioca e Fruticultura. |
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| 255. | | LIMA, L. K. da S.; JESUS, O. N. de; SOARES, T. L.; SANTOS, I. S. dos; OLIVEIRA, E. J. de; COELHO FILHO, M. A. Growth, physiological, anatomical and nutritional responses of two phenotypically distinct passion fruit species (Passiflora L.) and their hybrid under saline conditions. Scientia Horticulturae, v. 263, 2020.| Biblioteca(s): Embrapa Mandioca e Fruticultura. |
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| 256. | | CERQUEIRA-SILVA, C.S B. M.; FALEIRO, F. G.; JESUS, O. N. de; SANTOS, E. S. L. dos; SOUZA, A. P. de. The genetic diversity, conservation, and use of passion fruit (Passiflora spp.). In: AHUJA, M. R.; JAIN, S. M. (ed.). Genetic divesity and erosion in plants: case histories. Cham: Springer, 2016. p. 215-231. il. (Sustainable Development and Biodiversity, v. 2).| Biblioteca(s): Embrapa Cerrados; Embrapa Mandioca e Fruticultura. |
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| 258. | | GONÇALVES, Z. S.; JESUS, O. N. de; CERQUEIRA-SILVA, C. B. M.; DINIZ, R. P.; SOARES, T. L.; OLIVEIRA, E. J. de. Methodological approaches to assess passion fruit resistance (Passiflora spp.) to passionfruit woodiness disease. Bioscience Journal, Uberlândia, v. 33, n. 6, p. 1441-1451, Nov./Dec. 2017.| Biblioteca(s): Embrapa Mandioca e Fruticultura. |
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| 259. | | FALEIRO, F. G.; JUNQUEIRA, N. T. V.; JESUS, O. N. de; MACHADO, C. de F.; ROSA, R. C. C.; COSTA, A. M.; JUNQUEIRA, K. P.; JUNGHANS, T. G. Maracuyá: Passiflora edulis Sims. In: CARLOSOMA, A. R.; FALEIRO, F. G.; MORERA, M. P.; COSTA, A. M. (Ed.). Pasifloras: especies cultivadas en el mundo. Brasília, DF: ProImpress: Cepass, 2020. 249 p. il. p. 15-28| Biblioteca(s): Embrapa Agrobiologia; Embrapa Cerrados. |
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| 260. | | COSTA, J. L.; OLIVEIRA, E. J. de; JESUS, O. N. de; OLIVEIRA, L. S.; OLIVEIRA, G. A. F.; NEVES, C. G. Marcadores moleculares como ferramenta para estruturação da diversidade genética em genótipos de maracujazeiro. In: JORNADA CIENTÍFICA EMBRAPA MANDIOCA E FRUTICULTURA, 4., 2010, Cruz das Almas. [Anais...] Cruz das Almas: Embrapa Mandioca e Fruticultura, 2010. (Embrapa Mandioca e Fruticultura. Documentos, 190). 1 CD-ROM. PDF. 017.| Biblioteca(s): Embrapa Mandioca e Fruticultura. |
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| Registros recuperados : 302 | |
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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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