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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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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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Embrapa Mandioca e Fruticultura (CNPMF) |
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| 1. |  | AFONSO, C. L.; AMARASINGHE, G. K.; NYAI, K. N. BA.; BAO, Y.; BASLER, C. F.; BAVARI, S.; BEJERMAN, N.; BLASDELL, K. R.; BRIAND, F.-X.; BRIESE, T.; BUKREYEV, A.; CHANDRAN, K.; CHENG, J.; CLAWSON, A.; COLLINS, P. L.; DIETZGEN, R. G.; DOLNIK, O.; DOMIER, L. L.; DURRWAL, R.; DYE, J. M.; EASTON, A. J.; EBIHARA, H.; FARKAS, S. L.; ASTUA, J. de F.; FORMENTY, P.; FOUCHIER, R. M.; FU, Y.; GHEDIN, E.; GOODIN, M. M.; HEWSON, R.; HORIE, M.; HYNDMAN, T. H.; JIANG, D.; KITAJIMA, E. W.; KOBINGER, G. P.; KONDO, H.; KURATH, G.; LAMB, R. A.; LENARDON, S.; LEROY, E. M.; LI, CI-XIU; LIN, XIAN-DAN; LIU, L.; LONGDON, B.; MARTON, S.; MAISNER, A.; MUHLBERGER, E.; NETESOV, S. V.; NOWOTNY, N.; PATTERSON, J. L.; PAYNE, S. L.; PAWESKA, J. T.; RANDALL, R. E.; RIMA, B. K.; ROTA, P.; RUBBENSTROTH, D.; SCHWEMMLE, M.; SHI, M.; SMITHER, S. J.; STENGLEIN, M. D.; STONE, D. M.; TAKADA, A.; TERREGINO, C.; TESH, R. B.; TIAN. JUN-HUA; TOMONAGA, K.; TORDO, N.; TOWNER, J. S.; VASILAKIS, N.; VERBEEK, M.; VOLCHKOV, V. E.; WAHL-JENSEN, V.; WALSH, J. A.; WALKER, P. J.; WAN, D.; WANG, LIN-FA; WETZEL, T.; WHITFIELD, A. E.; XIE, J.; YUEN, KWOK-YUNG; ZHANG, YONG-ZHEN; KUHN, J. H. Taxonomy of the order Mononegavirales: update 2016. Archives of Virology, n. 161, p.2351?2360, 2016.| Tipo: Artigo em Periódico Indexado | Circulação/Nível: A - 2 |
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