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Registro Completo |
Biblioteca(s): |
Embrapa Mandioca e Fruticultura. |
Data corrente: |
27/04/2012 |
Data da última atualização: |
25/05/2023 |
Tipo da produção científica: |
Artigo em Periódico Indexado |
Autoria: |
OLIVEIRA, E. J. de; DIAS, N. L. P.; DANTAS, J. L. L. |
Afiliação: |
EDER JORGE DE OLIVEIRA, CNPMF; NAGELA LAZARE PEREIRA DIAS, UFRB; JORGE LUIZ LOYOLA DANTAS, CNPMF. |
Título: |
Selection of morpho-agronomic descriptors for characterization of papaya cultivars. |
Ano de publicação: |
2012 |
Fonte/Imprenta: |
Euphytica, v. 185, n. 2, p. 253-265, 2012. |
DOI: |
10.1007/s10681-011-0565-0 |
Idioma: |
Inglês |
Conteúdo: |
This study was conducted to define a list of sufficient minimum descriptors to distinguish between papaya genotypes quickly and precisely. To this end, 30 quantitative and 21 multi-category descriptors related to plant characteristics, such as leaves, flowers, fruit and seeds were evaluated in 27 genotypes of papaya, including crops, local varieties and improved lines. The quantitative descriptors were subjected to principal components analyses using the Singh and direct selection methods, whereas a correlation analysis was conducted for the qualitative descriptors. Eighteen and fifteen quantitative descriptors were discarded by the Singh and direct selection methods, respectively. However, considering the simultaneous analyses of these methodologies, 60% of the descriptors were selected to maximize the total variation of the genotypes. Six of the multi-category descriptors were monomorphic, and two were highly correlated with other characteristics and were discarded. The minimum descriptors that were selected had high discrimination potentials when they were analyzed together. Thus, for the purposes of the protection of varieties and the classification of the genotypes of papaya, there were found to be 18 quantitative and 13 multi-category minimum descriptors that contributed significantly to the total variation and possessed low correlation with each other. The elimination of descriptors did not entail a loss of information. Those descriptors that contributed most significantly to the first three principal components were the stem diameters, fruit lengths and widths, inflorescence peduncle lengths, thickness of fruit skin, leaf widths, dry and fresh seed weights and ratio between fruit lengths and widths and between total soluble solids and total titratable acidities. MenosThis study was conducted to define a list of sufficient minimum descriptors to distinguish between papaya genotypes quickly and precisely. To this end, 30 quantitative and 21 multi-category descriptors related to plant characteristics, such as leaves, flowers, fruit and seeds were evaluated in 27 genotypes of papaya, including crops, local varieties and improved lines. The quantitative descriptors were subjected to principal components analyses using the Singh and direct selection methods, whereas a correlation analysis was conducted for the qualitative descriptors. Eighteen and fifteen quantitative descriptors were discarded by the Singh and direct selection methods, respectively. However, considering the simultaneous analyses of these methodologies, 60% of the descriptors were selected to maximize the total variation of the genotypes. Six of the multi-category descriptors were monomorphic, and two were highly correlated with other characteristics and were discarded. The minimum descriptors that were selected had high discrimination potentials when they were analyzed together. Thus, for the purposes of the protection of varieties and the classification of the genotypes of papaya, there were found to be 18 quantitative and 13 multi-category minimum descriptors that contributed significantly to the total variation and possessed low correlation with each other. The elimination of descriptors did not entail a loss of information. Those descriptors that contributed most signific... Mostrar Tudo |
Palavras-Chave: |
Carica papaya L; Cultivar protection. |
Thesaurus Nal: |
multivariate analysis. |
Categoria do assunto: |
-- |
Marc: |
LEADER 02394naa a2200193 a 4500 001 1923314 005 2023-05-25 008 2012 bl uuuu u00u1 u #d 024 7 $a10.1007/s10681-011-0565-0$2DOI 100 1 $aOLIVEIRA, E. J. de 245 $aSelection of morpho-agronomic descriptors for characterization of papaya cultivars.$h[electronic resource] 260 $c2012 520 $aThis study was conducted to define a list of sufficient minimum descriptors to distinguish between papaya genotypes quickly and precisely. To this end, 30 quantitative and 21 multi-category descriptors related to plant characteristics, such as leaves, flowers, fruit and seeds were evaluated in 27 genotypes of papaya, including crops, local varieties and improved lines. The quantitative descriptors were subjected to principal components analyses using the Singh and direct selection methods, whereas a correlation analysis was conducted for the qualitative descriptors. Eighteen and fifteen quantitative descriptors were discarded by the Singh and direct selection methods, respectively. However, considering the simultaneous analyses of these methodologies, 60% of the descriptors were selected to maximize the total variation of the genotypes. Six of the multi-category descriptors were monomorphic, and two were highly correlated with other characteristics and were discarded. The minimum descriptors that were selected had high discrimination potentials when they were analyzed together. Thus, for the purposes of the protection of varieties and the classification of the genotypes of papaya, there were found to be 18 quantitative and 13 multi-category minimum descriptors that contributed significantly to the total variation and possessed low correlation with each other. The elimination of descriptors did not entail a loss of information. Those descriptors that contributed most significantly to the first three principal components were the stem diameters, fruit lengths and widths, inflorescence peduncle lengths, thickness of fruit skin, leaf widths, dry and fresh seed weights and ratio between fruit lengths and widths and between total soluble solids and total titratable acidities. 650 $amultivariate analysis 653 $aCarica papaya L 653 $aCultivar protection 700 1 $aDIAS, N. L. P. 700 1 $aDANTAS, J. L. L. 773 $tEuphytica$gv. 185, n. 2, p. 253-265, 2012.
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Embrapa Mandioca e Fruticultura (CNPMF) |
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Registros recuperados : 10 | |
4. | | ZAHN, E.; DIAS, N. L.; ARAUJO, A.; SÁ, L. D. A.; SÖRGEL, M.; TREBS, I.; WOLFF, S.; MANZI, A. Scalar turbulent behavior in the roughness sublayer of an Amazonian forest. Atmospheric Chemistry and Physics, v. 16, p. 11349-11366, 2016.Tipo: Artigo em Periódico Indexado | Circulação/Nível: A - 1 |
Biblioteca(s): Embrapa Amazônia Oriental. |
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6. | | KOHLER, T. W.; OSTERKAMP, W. F.; DIAS, N. L.; JOÃO FELIPE MALLMANN; MONTERO, C. R. S.; CERQUEIRA, V. S.; SILVA, S. D. dos A. e. Compostos orgânicos e resíduos da cadeia produtiva do arroz como substrato para produção de mudas de cana-de-açúcar. Revista da Jornada de Pós-graduação e Pesquisa, Congrega Urcamp, v. 16, n. 16, ano 2020.Tipo: Artigo em Anais de Congresso |
Biblioteca(s): Embrapa Clima Temperado. |
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7. | | CHOR, T. L.; DIAS, N. L.; ARAUJO, A. C. de; WOLFF, S.; ZAHN, E.; MANZI, A.; TREBS, I.; SÁ, M. O.; TEIXEIRA, P. R.; SÖRGEL, M. Flux-variance and flux-gradient relationships in the roughnesssublayer over the Amazon forest. Agricultural and Forest Meteorology, v. 239, p. 213-222, May 2017.Tipo: Artigo em Periódico Indexado | Circulação/Nível: A - 1 |
Biblioteca(s): Embrapa Amazônia Oriental. |
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9. | | ANDREAE, M. O.; ACEVEDO, O. C.; ARAUJO, A.; ARTAXO, P.; BARBOSA, C. G. G.; BARBOSA, H. M. J.; BRITO, J.; CARBONE, S.; CHI, X.; CINTRA, B. B. L.; SILVA, N. F. da; DIAS, N. L.; DIAS-JÚNIOR, C. Q.; DITAS, F.; DITZ, R.; GODOI, A. F. L.; GODOI, R. H. M.; HEIMANN, M.; HOFFMANN, T.; KESSELMEIER, J.; KÖNEMANN, T.; KRÜGER, M. L.; LAVRIC, J. V.; MANZI, A. O.; MORAN-ZULOAGA, D.; NÖLSCHER, A. C.; NOGUEIRA, D. S.; PIEDADE, M. T. F.; PÖHLKER, C.; PÖSCHL, U.; RIZZO, L. V.; RO, C.-U.; RUCKTESCHLER, N.; SÁ, L. D. A.; SÁ, M. D. O.; SALES, C. B.; SANTOS, R. M. N. dos; SATURNO, J.; SCHÖNGART, J.; SÖRGEL, M.; SOUZA, C. M. de; SOUZA, R. A. F. de; SU, H.; TARGHETTA, N.; TÓTA, J.; TREBS, I.; TRUMBORE, S.; EIJCK, A. van; WALTER, D.; WANG, Z.; WEBER, B.; WILLIAMS, J.; WINDERLICH, J.; WITTMANN, F.; WOLFF, S.; YÁÑEZ-SERRANO, A. M. The Amazon Tall Tower Observatory (ATTO) in the remote Amazon basin: overview of first results from ecosystem ecology, meteorology, trace gas, and aerosol measurements. Atmospheric Chemistry and Physics Discuss, v. 15, n. 18, p. 11599-11726, 2015.Biblioteca(s): Embrapa Amazônia Oriental. |
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10. | | ANDREAE, M. O.; ACEVEDO, O. C.; ARAUJO, A.; ARTAXO, P.; BARBOSA, C. G. G.; BARBOSA, H. M. J.; BRITO, J.; CARBONE, S.; CHI, X.; CINTRA, B. B. L.; SILVA, N. F. da; DIAS, N. L.; DIAS-JÚNIOR, C. Q.; DITAS, F.; DITZ, R.; GODOI, A. F. L.; GODOI, R. H. M.; HEIMANN, M.; HOFFMANN, T.; KESSELMEIER, J.; KÖNEMANN, T.; KRÜGER, M. L.; LAVRIC, J. V.; MANZI, A. O.; LOPES, A. P.; MARTINS, D. L.; MIKHAILOV, E. F.; MORAN-ZULOAGA, D.; NELSON, B. W.; NÖLSCHER, A. C.; NOGUEIRA, D. S.; PIEDADE, M. T. F.; PÖHLKER, C.; PÖSCHL, U.; QUESADA, C. A.; RIZZO, L. V.; RO, C.-U.; RUCKTESCHLER, N.; SÁ, L. D. A.; SÁ, M. de O.; SALES, C. B.; SANTOS, R. M. N. dos; SATURNO, J.; SCHÖNGART, J.; SÖRGEL, M.; SOUZA, C. M. de; SOUZA, R. A. F. de; SU, H.; TARGHETTA, N.; TÓTA, J.; TREBS, I.; TRUMBORE, S.; EIJCK, A. van; WALTER, D.; WANG, Z.; WEBER, B.; WILLIAMS, J.; WINDERLICH, J.; WITTMANN, F.; WOLFF, S.; YÁÑEZ-SERRANO, A. M. The Amazon Tall Tower Observatory (ATTO): overview of pilot measurements on ecosystem ecology, meteorology, trace gases, and aerosols. Atmospheric Chemistry and Physics, v. 15, n. 18, p. 10723-10776, 2015.Tipo: Artigo em Periódico Indexado | Circulação/Nível: A - 1 |
Biblioteca(s): Embrapa Amazônia Oriental. |
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Registros recuperados : 10 | |
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