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| 101. |  | BARBOSA, F. R.; FERREIRA, R. G.; KIILL, L. H. P.; SOUZA, E. A. de; MOREIRA, W. A.; ALENCAR, J. A. de; HALI, F. N. P. Estudos do nível de dano, plantas invasoras hospedeiras e controle do Psilídeo da goiabeira (Triozoida sp.) (Hemiptera: Psyllidae). In: CONGRESSO BRASILEIRO DE ENTOMOLOGIA, 19., 2002, Manaus. Resumos... Manaus: INPA/SEB, 2002. p. 271-272.| Biblioteca(s): Embrapa Semiárido. |
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| 102. | | BARBOSA, F. R.; FERREIRA, R. G.; KIILL, L. H. P.; SOUZA, E. A. de; MOREIRA, W. A.; ALENCAR, J. A. de; HAJI, F. N. P. Estudos do nível de dano, plantas invasoras hospedeiras e controle do Psilídio da goiabeira (Triozoida sp.). In: CONGRESSO BRASILEIRO DE ENTOMOLOGIA, 19.; SEMINARIO SYNGENTA ENTOMOLOGICAL ADVISORY GROUP-SEAG, 2002, Manaus. Anais... Manaus: SEAG, 2002. 1 CD-ROM.| Biblioteca(s): Embrapa Semiárido. |
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| 105. | | BARBOSA, F. R.; HAJI, F. N. P.; PARANHOS, B. A. J.; SILVA, C. S. B. da; SOUZA, E. A. de; GONÇALVES, M. E. de C.; MIRANDA, I. da G. Arthropods - pests and predators associated with mango trees at São Francisco river Valley, Northestern Brazil - II. In: INTERNATIONAL MANGO SYMPOSIUM, 8th, 2006, Sun City, South Africa. Programme - abstract book... Siyanamukela: ISHS; South African Mango Growers Association, 2006..| Biblioteca(s): Embrapa Semiárido. |
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| 106. | | BARBOSA, F. R.; GONÇALVES, M. E. de; MOREIRA, W. A.; ALENCAR, J. A. de; SOUZA, E. A. de; SILVA, C. S. B. da; SOUZA, A. de M.; MIRANDA, I. da G. Artrópodes - praga e predadores (Arthropoda) associados à cultura da mangueira no Vale do São Francisco, Nordeste do Brasil. Neotropical Entomology, Vacaria, RS, v. 34, n. 3, p. 471-474, may/jun. 2005.| Biblioteca(s): Embrapa Semiárido. |
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| 107. | | ABREU, A. de F. B.; RAMALHO, M. A. P.; CARNEIRO, J. E. de S.; MELO, L. C.; PEREIRA, H. S.; SOUZA, T. L. P. O. de; PAULA JÚNIOR, T. J. de; SOUZA, E. A. de; PEREIRA FILHO, I. A.; MARTINS, M.; DEL GIÚDICE, M. P.; VIEIRA, R. F. BRSMG Uai: cultivar de feijão tipo carioca com planta de arquitetura ereta. Santo Antônio de Goiás: Embrapa Arroz e Feijão, 2018. 7 p. (Embrapa Arroz e Feijão. Comunicado técnico, 246).| Biblioteca(s): Embrapa Arroz e Feijão; Embrapa Milho e Sorgo. |
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| 108. | | CARBONELL, S. A. M.; CHIORATO, A. F.; ITO, M. F.; WENDLAND, A.; DEL PELOSO, M. J.; MELO, L. C.; SOUZA, E. A.; RAMALHO, M. A. P.; CARNEIRO, J. E. S.; MODA-CIRINO, V.; FONSECA JÚNIOR, N. S.; BARCELOS, Q. L.; COSTA, L. C.; CELIN, E. F. Antracnose. In: PAULA JÚNIOR, T. J. de; WENDLAND, A. (Ed.). Melhoramento genético do feijoeiro-comum e prevenção de doenças. Viçosa, MG: Epamig, 2012. p. 15-39.| Biblioteca(s): Embrapa Arroz e Feijão. |
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| 109. | | CASTILHOS, D.; POLESSO, A. M.; SILVA, A. C. F. da; SANTOS, A. B. dos; LOPES, A. T. de C.; OLIVEIRA FILHO, A. A. de; CUNHA, A. F. S. da; PUKER, A.; MATIOLI, A. L.; CAMPOS, A. A. S.; MORAIS, A. L. de; MODRO, A. F. H.; SILVEIRA NETO, A. A.; PIRES, A. de S. M.; BIASI, C.; PEIXOTO, C. M.; MERCÊS, C. da C.; CARVALHO, C. A. L. de; PAIVA, C. da S.; PEREIRA, D. S.; FREIRE, D. S.; SOUZA, D. C.; JONG, D. de; SOARES, D. A. M.; ARAÚJO NETO, E. R. de; SOUZA, E. A. de; SANTOS, E. B.; MAIA, E.; ARAÚJO, E. A. B. de; LIMA, E. G.; TEIXEIRA, E. W.; NASCIMENTO, E. G.; SILVA, F. A. S. e; CAPPELARI, F. A.; CHAGAS SOBRINHO, F.; FONTES, F. M.; OLINTO, F. A.; SILVA, F. E. J. da; BERGAMO, G. C.; RODRIGUES, G. A.; MORETTO, G.; CASADIO, G. M. L.; BOGUS, G. M.; CARVALHO, G. G. P. de; OLIVEIRA NETO, G. L. de; CASTAGNINO, G.; QUEIROZ, G. S. de; PIRES, G. P.; SILVA, H. M. da; SILVA NETO, H. B.; NUNES, H. T. de S.; OLIVEIRA, I. P. P.; SAMBRANA, I. R.; ROCHA, J. S.; BANDERÓ, J. L.; ALBUQUERQUE, J. G. S. S. de; HOLANDA NETO, J. P. de; KASTELIC, J.; GUERRA JUNIOR, J. C. V.; COSTA, J. R. da; JESUS, J. S. de; BENDINI, J.; GRAMACHO, K. P.; SOUZA, L.; LEONI, L. N.; GONÇALVES, L. S.; CESTARO, L. G.; MORAIS, L. da S.; DANTAS, L. F. C. F.; SERRA, L. S.; ABREU, L. de; BORSUK, L. C.; PINTO, L. F. B.; SILVA, L. A. da; LIMA, L. A. dos A.; FOGAÇA, M. J.; ISSA, M. R. C.; CORREIA-OLIVEIRA, M. E.; ALVES, M. L. T. M. F.; BARRETO, M. R.; REY, M. C. del; BARBOSA, M. J. de O. C.; SILVA, M. R. da; MORAIS, M. M.; VINHAL-SILVA, N.; GOMES, P. T. de O.; GUIMARÃES-BEELEN, P. M.; SOUSA, P. O. de; COSTA, P. S. C.; SOUZA, P. A. de; PAULA, R. de; MENDES, R. B.; GOMES, R. V. R. de S.; SANTOS, R. G.; NASCIMENTO, R. J. T.; SILVEIRA, R. D.; CABRAL, R. S.; TORRES, R.; BEELEN, R.; PEREIRA, R. A.; RIZZARDO, R. A. G.; CUNHA, S. A.; CELMER, S. T.; ESTEVAN, S.; ASSIS JUNIOR, S. L. de; MACIEL, S. V. S. A.; SILVA, S. J. R. da; MOREIRA, S.; SCHAFASCHEK, T. P.; BARROS, T. A. de; RUELA, T. H.; VITENA, T. M. de S.; BRIDI, T. R.; LEITE, V. M.; REIS, V. D. A. dos; NEVES, V. S. L. das; MEDEIROS, V. F. de. Varroa destructor infestation levels in Africanized honey bee colonies in Brazil from 1977 when first detected to 2020. Apidologie, v. 54, Article 5, 2023.| Biblioteca(s): Embrapa Amazônia Oriental; Embrapa Pantanal. |
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| Registros recuperados : 109 | |
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Registro Completo
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Biblioteca(s): |
Embrapa Mandioca e Fruticultura. |
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Data corrente: |
03/11/2014 |
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Data da última atualização: |
26/05/2023 |
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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: |
OLIVEIRA, E. J. de; FREITAS, J. P. X.; JESUS, O. N. de. |
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Afiliação: |
EDER JORGE DE OLIVEIRA, CNPMF; J. P. X. FREITAS, UFRB; ONILDO NUNES DE JESUS, CNPMF. |
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Título: |
Adaptability and stability analysis of the juice yield of yellow passion fruit varieties. |
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Ano de publicação: |
2014 |
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Fonte/Imprenta: |
Genetics and molecular research, v. 13, n. 3, p. 6512-6527, 2014. |
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ISSN: |
1676-5680 |
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Idioma: |
Inglês |
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Conteúdo: |
This study analyzed the genotype x environment interaction (GE) for the juice productivity (JuProd) of 12 yellow passion fruit varieties (Passiflora edulis Sims. f. flavicarpa Deg.) using additive main effects and multiplicative interaction (AMMI) model and auxiliary parameters. The experiments were conducted in eight environments of Bahia State, Brazil, using a randomized block design with three replications. Analysis of variance showed significant effects (P ? 0.01) for environments, genotypes, and GE interaction. The first two interaction principal component axes (IPCAs) explained 81.00% of the sum of squares of the GE interaction. The AMMI1 and AMMI2 models showed that varieties 09 and 11 were the most stable. Other parameters, namely, the AMMI stability value (ASV), yield stability (YSI), sustainability, and stability index (StI), indicated that other varieties were more stable. These varying results were certainly a consequence of methodological differences. In contrast, the ranking of varieties for each of the stability parameters showed significant positive correlations (P ? 0.05) between IPCA1 x (ASV, YSI), JuProd x (StI, YSI), YSI x ASV, and StI x YSI. Cluster analysis based on the genotypic profile of the effects of the GE interaction identified three groups that correlated with the distribution of varieties in the AMMI1 biplot. However, the classification of stable genotypes was limited because the association with the productivity was not included in the analysis. Variety 08 showed the most stable and productive behavior, ranking above average in half of the environments, and it should be recommended for use. MenosThis study analyzed the genotype x environment interaction (GE) for the juice productivity (JuProd) of 12 yellow passion fruit varieties (Passiflora edulis Sims. f. flavicarpa Deg.) using additive main effects and multiplicative interaction (AMMI) model and auxiliary parameters. The experiments were conducted in eight environments of Bahia State, Brazil, using a randomized block design with three replications. Analysis of variance showed significant effects (P ? 0.01) for environments, genotypes, and GE interaction. The first two interaction principal component axes (IPCAs) explained 81.00% of the sum of squares of the GE interaction. The AMMI1 and AMMI2 models showed that varieties 09 and 11 were the most stable. Other parameters, namely, the AMMI stability value (ASV), yield stability (YSI), sustainability, and stability index (StI), indicated that other varieties were more stable. These varying results were certainly a consequence of methodological differences. In contrast, the ranking of varieties for each of the stability parameters showed significant positive correlations (P ? 0.05) between IPCA1 x (ASV, YSI), JuProd x (StI, YSI), YSI x ASV, and StI x YSI. Cluster analysis based on the genotypic profile of the effects of the GE interaction identified three groups that correlated with the distribution of varieties in the AMMI1 biplot. However, the classification of stable genotypes was limited because the association with the productivity was not included in the analysi... Mostrar Tudo |
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Palavras-Chave: |
Análise Multivariada. |
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Thesagro: |
Genótipo; Maracujá; Método estatístico; Reprodução vegetal; Variação genética. |
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Thesaurus NAL: |
Breeding; Genetic Improvement; Genotype; Genotype-environment interaction; Multivariate analysis; Passiflora edulis f. flavicarpa; Passion fruits. |
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Categoria do assunto: |
-- |
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Marc: |
LEADER 02600naa a2200313 a 4500
001 1999030
005 2023-05-26
008 2014 bl uuuu u00u1 u #d
022 $a1676-5680
100 1 $aOLIVEIRA, E. J. de
245 $aAdaptability and stability analysis of the juice yield of yellow passion fruit varieties.$h[electronic resource]
260 $c2014
520 $aThis study analyzed the genotype x environment interaction (GE) for the juice productivity (JuProd) of 12 yellow passion fruit varieties (Passiflora edulis Sims. f. flavicarpa Deg.) using additive main effects and multiplicative interaction (AMMI) model and auxiliary parameters. The experiments were conducted in eight environments of Bahia State, Brazil, using a randomized block design with three replications. Analysis of variance showed significant effects (P ? 0.01) for environments, genotypes, and GE interaction. The first two interaction principal component axes (IPCAs) explained 81.00% of the sum of squares of the GE interaction. The AMMI1 and AMMI2 models showed that varieties 09 and 11 were the most stable. Other parameters, namely, the AMMI stability value (ASV), yield stability (YSI), sustainability, and stability index (StI), indicated that other varieties were more stable. These varying results were certainly a consequence of methodological differences. In contrast, the ranking of varieties for each of the stability parameters showed significant positive correlations (P ? 0.05) between IPCA1 x (ASV, YSI), JuProd x (StI, YSI), YSI x ASV, and StI x YSI. Cluster analysis based on the genotypic profile of the effects of the GE interaction identified three groups that correlated with the distribution of varieties in the AMMI1 biplot. However, the classification of stable genotypes was limited because the association with the productivity was not included in the analysis. Variety 08 showed the most stable and productive behavior, ranking above average in half of the environments, and it should be recommended for use.
650 $aBreeding
650 $aGenetic Improvement
650 $aGenotype
650 $aGenotype-environment interaction
650 $aMultivariate analysis
650 $aPassiflora edulis f. flavicarpa
650 $aPassion fruits
650 $aGenótipo
650 $aMaracujá
650 $aMétodo estatístico
650 $aReprodução vegetal
650 $aVariação genética
653 $aAnálise Multivariada
700 1 $aFREITAS, J. P. X.
700 1 $aJESUS, O. N. de
773 $tGenetics and molecular research$gv. 13, n. 3, p. 6512-6527, 2014.
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