Redundancy analysis for the study of the relationship between pineapple vegetative development and quality
DOI:
https://doi.org/10.33448/rsd-v11i3.26618Keywords:
Ananas comosus (L.) Merrill; Multivariate Analysis; Production Scheduling.Abstract
The quality of pineapple fruits has been attributed to the development of a mature leaf, called “leaf D”, as if it were a standard for the species, regardless of cultivar and plant management. The management of pineapple flowering is a consolidated agronomic practice and allows the planning of early harvest, however, field studies are still needed. Redundancy analysis can be a useful tool to identify response patterns of vegetative and reproductive development correlated with agronomic management, enabling the definition of efficient strategies. Therefore, the objective of this work was to evaluate, through redundancy analysis, which vegetative characteristics explain the quality of the 'Vitória' pineapple fruits, considering the flowering management. The study was carried out with data obtained from an applied research, conducted in the field, in four planting seasons (January, April, July and October), using two types of seedlings (100 to 200g seedling and 201 to 300g sprout) and three ages of floral induction (8, 10 and 12 months). Six plant characteristics were obtained (length and width of leaf “D”, number of leaves, leaf area and number of seedlings of the shoot and young types) and 21 characteristics of physicochemical quality of fruits (length, diameter and circumference of the fruit). , diameter of the central cylinder, pulp thickness, pulp yield, percentage of translucent area, soluble solids, titratable acidity, pH, vitamin C, maturation stage, skin firmness, pulp color). From these data, the relationships between plant characteristics, considered explanatory characteristics, and fruit characteristics, considered response characteristics, were obtained through redundancy analysis (RDA), using software R version 3.5.1. With the elimination of the explanatory characteristic leaf area, the model containing the other five explanatory characteristics remaining was statistically significant, with a valid relationship between the five plant characteristics and the 21 fruit characteristics in the 24 environments. In this way, the RDA analysis employed five explanatory characteristics (length and width of the “D” leaf, number of leaves and number of seedlings of the shoot and young types) for the model. It is concluded that most of the fruit characteristics had low variability among them, and with the environment characteristics. The number of leaves is the characteristic that is most related to the weight of the 'Vitória' pineapple fruit.
References
Barker, D. L., Arantes, S. D., Schmildt, E. R., Arantes, L. D. O., Fontes, P. S. F., & Buffon, S. B. (2018). Post-harvest quality of ‘Vitória’pineapple as a function of the types of shoots and age of the plant for floral induction. Revista Brasileira de Fruticultura, 40(4).
Berilli, S. D. S., Almeida, S. B., Carvalho, A. J. C. D., Jesus Freitas, S. D., Berilli, A. P. C. G., & Santos, P. C. D. (2011). Avaliação sensorial dos frutos de cultivares de abacaxi para consumo in natura. Revista Brasileira de Fruticultura, 33, 592-598.
Borcard, D., Gillet, F., & Legendre, P. (2011). Numerical ecology with R. springer. 2, 688.
Caetano, L. C. S., Ventura, J. A., Costa, A. D. F. S. D., & Guarçoni, R. C. (2013). Efeito da adubação com nitrogênio, fósforo e potássio no desenvolvimento, na produção e na qualidade de frutos do abacaxi 'Vitória'. Revista Brasileira de Fruticultura, 35, 883-890.
Capblancq, T., Luu, K., Blum, M. G., & Bazin, E. (2018). Evaluation of redundancy analysis to identify signatures of local adaptation. Molecular Ecology Resources, 18(6), 1223-1233.
Carvalho, R. R. B., Fonseca, A. A. O., Barreto, N. S. E., Luís, R., & Cardoso, M. S. S. (2016). Néctar de graviola e cupuaçu: desenvolvimento e estabilidade. 18(4), 413-421.
CEASA/ES, (2013). <http://www.ceasa.es.gov.br/wp-content/uploads/2013/calendario_de_comercializacao_2013.pdf>.
FAOSTAT, (2020). Food and Agriculture Organization of the United Nations Statistical Database. Crops database. < http://www.fao.org/faostat/en/#data/QC/visualize >.
Francisco, J. P., Diotto, A. V., Folegatti, M. V., Silva, L. D. B. D., & Piedade, S. M. D. S. (2014). Estimativa da área foliar do abacaxizeiro cv. Vitória por meio de relações alométricas. Revista Brasileira de Fruticultura, 36(2), 285-293.
Gómez, R. S, García Pérez, J., López Martín, M. D. M., & García, C. G. (2016). Collinearity diagnostic applied in ridge estimation through the variance inflation factor. Journal of Applied Statistics, 43(10), 1831-1849.
Gotelli, N.J., Ellison, A.M. A primer of ecological statistics. (2a ed.) Sunderland: Sinauer Associates, 2011. 579p.
HAIR, J.F. et al. Multivariate Data Analysis. (7a ed.) Pearson, 2010.
Hotegni, V. N.F, Lommen, W. J., Agbossou, E. K., & Struik, P. C. (2014). Heterogeneity in pineapple fruit quality results from plant heterogeneity at flower induction. Frontiers in Plant Science, 5, 670.
IAL Instituto Adolfo Lutz. (2008). Métodos físico-químicos para análise de alimentos. (4a ed.), Ministério da Saúde. 1018p.
LUTZ, I. A. (2008). Métodos físico-químicos para análise de alimentos. ANVISA.
IBGE. (2008) instituto brasileiro de geografia e estatística. Produção Agrícola Municipal: PAM 2017. Sistema IBGE de Recuperação Automática: SIDRA, https://sidra.ibge.gov.br/tabela/1613.
Küster, I. S., Alexandre, R. S., Arantes, S. D., Schmildt, E. R. S., Arantes, L. D. O., & Klem, D. L. B. (2018). Phenotypic correlation between leaf characters and physical and chemical aspects of cv. Vitória pineapple fruit. Revista Brasileira de Fruticultura, 40.1-9.
Legendre, P., & Legendre, L. (1988). Numerical Ecology. Amsterdam, Elsevier Science. 840p.
Melo, A. S. D., Netto, A. D. O. A., Dantas Neto, J., Brito, M. E. B., Viégas, P. R. A., Magalhães, L. T. S., & Fernandes, P. D. (2006). Desenvolvimento vegetativo, rendimento da fruta e otimização do abacaxizeiro cv. Pérola em diferentes níveis de irrigação. Ciência Rural, 36, 93-98.
Nunes, R. P, Da Silva, L. I. M. M., & de Araújo, B. M. (2010). Caracteristicas fisicas, fisico-quimicas, quimicas e atividade enzimatica de abacaxi cv. Smooth Cayenne recem colhido. Alimentos e Nutricao (Brazilian Journal of Food and Nutrition), 21(2), 273-282.
Oksanen, J.et al. (2019). Vegan: Community Ecology Package. R package version 2.5-5. https://CRAN.R-project.org/package=vegan.
Palou, E., López‐Malo, A., Barbosa‐Cánovas, G. V., Welti‐Chanes, J., & Swanson, B. G. (1999). Polyphenoloxidase activity and color of blanched and high hydrostatic pressure treated banana puree. Journal of Food Science, 64(1), 42-45.
Py, C. (1968). Contribution à l'étude du cycle de l'ananas. Fruits, 23(8), 403-413.
R Core Team (2018). R: A language and environment for statistical computing. R Foundation for Statistical Computing, Vienna, Austria. http://www.R-project.org/.
Teisson, C. (1972). Étude sur la Floraison Naturalc de l'Ananas en Côte D'Ivoirc. Fruits, 27(10), 699-704.
Ventura et al. (2008). <http://www.incaper.es.gov.br/servicos/images/abacaxi_vitoria.pdf>.
Ventura, J. A., Costa, H., Cabral, J. R. S. & de Matos, A. P. (2009). 'VITÓRIA': new pineapple cultivar resistant to fusariosis. Acta Hortic. 822, 51-56.
Vilela, G. B., Pegoraro, R. F., & Maia, V. M. (2015). Predição de produção do abacaxizeiro'Vitória'por meio de características fitotécnicas e nutricionais. Revista Ciência Agronômica, 46, 724-732.
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Copyright (c) 2022 Pietra de Souza Rodrigues ; Dayane Littig Barker ; Jasmini Fonseca da Silva; Basílio Cerri Neto; Thayanne Rangel Ferreira; Kayo Cesar Corrêa Lima ; Johnny da Silva Rodrigues ; Lúcio de Oliveira Arantes; Edilson Romais Schmidt José Aires Ventura; Sara Dousseau Arantes
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