Validation of the PhenoGlad model and determination of planting dates of the gladiolo for the state of Paraná

Authors

DOI:

https://doi.org/10.5433/1679-0359.2023v44n1p39

Keywords:

Gladiolus x grandiflorus Hort., Mathematical models, Flor de corte

Abstract

Mathematical models that simulate crop development are important tools to help growers plan management practices and harvest time for cut flowers such as gladiolus. The objective of this work was to validate the PhenoGlad model for the State of Paraná, determining the planting date for marketing flowers for the Day of the Dead, and the quality of the floral stems. The validation of the PhenoGlad model was carried out through field tests in five towns in the State of Paraná, namely: Cascavel, Dois Vizinhos, Marechal Cândido Rondon, Palotina, and Santa Helena. The experiments were carried out during the year 2019. The PhenoGlad model was run for each location and year of meteorological data for the early, The PhenoGlad model was simulated for each location and period of meteorological data available at each weather station in these towns, and for the early, intermediate II, and late development cycles. The planting date was determined through the average of the dates (Julian days) for each simulated year. The variables analyzed were the stages of development according to the phenological scale of the culture, the number of leaves, the average number of florets, and the classification of floral stems according to the quality standards of Veilling Holambra. The PhenoGlad model showed accuracy in simulating the stages of development of gladiolus culture in the state of Paraná and is also suitable for predicting the damage caused by extreme temperatures in floral stems, which was confirmed by the damage caused to sepals and petals of gladiolus in field experiments in the towns of Cascavel, Dois Vizinhos, Palotina, and Santa Helena. The best model performance was observed when simulating the vegetative period of the crop, presenting a low error of 0.54 leaf. In the state of Paraná, for the production of floral stems for the Day of the Dead, the PhenoGlad model simulated the planting dates in the different towns studied from August 1 to August 23. The towns of Cascavel and Marechal Cândido Rondon presented a higher number of florets and higher quality of floral stems than the other towns evaluated.

Downloads

Download data is not yet available.

References

Alvares, C. A., Stape, J. L., Sentelhas, P. C., De Moraes Gonçalves, J. L. & Sparovek, G. (2013). Köppen’s climate classification map for Brazil. Meteorologische Zeitschrift, 22(6), 711–728. https://doi.org/10.1127/0941-2948/2013/0507 DOI: https://doi.org/10.1127/0941-2948/2013/0507

Becker, C. C. (2017). Data de plantio de gladíolo para comercialização em dois picos de consumo no clima atual e em climas futuros no Rio Grande do Sul utilizando o modelo PhenoGlad. Dissertação(Mestrado) - Curso de Engenharia Agrícola, Universidade Federal de Santa Maria, Santa Maria, RS.

Bonatto, M. I. (2019). Análise de riscos climáticos para o cultivo do gladíolo em Santa Catarina , Sul do Brasil Curitibanos. Universidade Federal de Santa Catarina.

De Melo, A. S., Suassuna, J. F., Fernandes, P. D., Brito, M. E. B., Suassuna, A. F. & De Oliveira Aguiar Netto, A. (2010). Crescimento vegetativo, resisténcia estomática, eficiéncia fotossintética e rendimento do fruto da melancieira em diferentes níveis de água. Acta Scientiarum - Agronomy, 32(1), 73–79. https://doi.org/10.4025/actasciagron.v32i1.2136 DOI: https://doi.org/10.4025/actasciagron.v32i1.2136

Ipardes. (2021). Relação dos municípios do estado, ano de criação e respectivas mesorregiões e microrregiões geográficas e regiões geográficas - Paraná microrregião. Disponivel em: http://www.ipardes.pr.gov.br/Pagina/Municipios-do-Parana. Acesso em : 04 fev de 2021.

Leite, H. G. & Andrade, V. C. L. de. (2002). Um método para condução de inventários florestais sem o uso de equações volumétricas. Revista Árvore, 26, 321–328. DOI: https://doi.org/10.1590/S0100-67622002000300007

Mapa – Ministério da agricultura pecuária e abastecimento. Portarias. Brasília, 2018a. Disponível em:< http://indicadores.agricultura.gov.br/zarc/index.htm>. Acesso em 17 novembro de 2021.

Mapa – Ministério da agricultura pecuária e abastecimento. Portarias. Brasília, 2018b. Disponível em:< http://www.agricultura.gov.br/assuntos/riscos-seguro/riscoagropecuario/zoneamento-agricola. Acesso em 17 novembro de 2021.

Severino, C.A.M.(2007). Dossiê técnico: Cultivo comercial de Palma de Santa Rita (Gladiolussp.Tourm.). Rede de Tecnologia da Bahia – RETEC/BA, 22p.

Schwab, N. T., Streck, N. A., Becker, C. C., Langner, J. A., Uhlmann, L. O. & Ribeiro, B. S. M. R. (2015). A phenological scale for the development of Gladiolus. Annals of Applied Biology, 166(3), 496–507. https://doi.org/10.1111/aab.12198 DOI: https://doi.org/10.1111/aab.12198

Schwab, Natalia Teixeira. (2014). Escala fenológica, área foliar e desenvolvimento de hastes florais de gladíolo em função da época de plantio. Universudade Federal de Santa Maria.

Schwab, Natalia Teixeira, Streck, N. A., Uhlmann, L. O., Becker, C. C., Ribeiro, B. S. M. R., Langner, J. A. & Tomiozzo, R. (2018). Duration of cycle and injuries due to heat and chilling in gladiolus as a function of planting dates. Ornamental Horticulture, 24(2), 163–173. https://doi.org/10.14295/oh.v24i2.1174 DOI: https://doi.org/10.14295/oh.v24i2.1174

Streck, N. A., Weiss, A., Xue, Q. & Stephen Baenziger, P. (2003). Improving predictions of developmental stages in winter wheat: A modified Wang and Engel model. Agricultural and Forest Meteorology, 115(3–4), 139–150. https://doi.org/10.1016/S0168-1923(02)00228-9 DOI: https://doi.org/10.1016/S0168-1923(02)00228-9

Uhlmann, L. O. (2016). Phenoglad: Um modelo de simulação do desenvolvimento em gladíolo. Universidade Federal de Santa Maria.

Uhlmann, L. O. (2018). Ecofisiologia, zoneamento de risco climatico e extensão rural com a cultura do gladíolo.

Uhlmann, L. O., Streck, N. A., Becker, C. C., Schwab, N. T., Benedetti, R. P., Charão, A. S., Ribeiro, B. S. M. R., Silveira, W. B., Backes, F. A. A. L., Alberto, C. M., Muttoni, M., de Paula, G. M., Tomiozzo, R., Bosco, L. C. & Becker, D. (2017). PhenoGlad: A model for simulating development in Gladiolus. European Journal of Agronomy, 82, 33–49. https://doi.org/10.1016/j.eja.2016.10.001 DOI: https://doi.org/10.1016/j.eja.2016.10.001

Uhlmann, L. O., Streck, N. A., Becker, C. C., Tomiozzo, R., Schwab, N. T. & Ortiz, V. M. (2020). Climate risk zoning for gladiolus in the state of Rio Grande do Sul , Brazil. Pesquisa Agropecuaria Brasileira, 55. https://doi.org/10.1590/S1678-3921.pab2020.v55.01094 DOI: https://doi.org/10.1590/s1678-3921.pab2020.v55.01094

Veiling Holambra. (2016). Critérios de classificação: Gladíolo corte. Departamento de Qualidade e Pós-Colheita, 5p. Disponível em: Acesso em: 19 de fevereiro de 2021

Wrege, M. S., Steinmetz, S., Júnior, C. R., de Almeida, I. R., Garrastazu, M. C., Herter, F. G., Caramori, P. H., Matzenauer, R., Radin, B., Braga, H. J., Pandolfo, C., Prestes, S. D., da Cunha, G. R. & Maluf, J. R. T. (2012). Atlas Climático da Região Sul do Brasil. Estado de Paraná, Santa Catarina e Rio Grande do Sul. Journal of Chemical Information and Modeling, 53(9), 1689–1699.

Zubair, M.; Wazir, F. K.; Akhtar, S.; Ayub, G. (2006). Planting dates affect floral characteristics of Gladiolus under the soil and climatic conditions of Peshawar. Pakistan Journal of Biological Sciences, v. 9, p.1669–1676, http://dx.doi.org/10.3923/pjbs.2006.1669.1676. DOI: https://doi.org/10.3923/pjbs.2006.1669.1676

Downloads

Published

2023-02-06

How to Cite

Becker, D., Paulus, D., Bosco, L. C., Hojo, E. T. D., Sato, A. J., Yamamoto, L. Y., … Nava, G. A. (2023). Validation of the PhenoGlad model and determination of planting dates of the gladiolo for the state of Paraná. Semina: Ciências Agrárias, 44(1), 39–60. https://doi.org/10.5433/1679-0359.2023v44n1p39

Issue

Section

Articles

Most read articles by the same author(s)

1 2 > >> 

Similar Articles

You may also start an advanced similarity search for this article.