Spatial variability of the productive components of the soybean crop

Authors

DOI:

https://doi.org/10.30612/agrarian.v16i56.16682

Keywords:

Atributo de planta, Ciclo vegetativo, Glycine max (L) Merrill, Morfologia, Semivariogramas

Abstract

The aim is to interpret the structure and magnitude of the spatial distribution of plant attributes in a soybean crop. The evaluated Attributes were sampled in an area of 22 ha, where the determination of sample collection points was carried out in a mesh of 99 georeferenced points. Data analysis made it possible to verify that the soybean production and productivity components (grain productivity, 100-grain mass, number of pods per plant, number of grains per plant, plant height, number of internodes, number of grains per pod and grain mass per plant) showed correlation and spatial variability. Through cokriging, there was a significant spatial correlation between soybean grain yield and number of pods per plant, number of grains per plant and number of internodes, demonstrating that these attributes can serve as parameters for indirectly evaluating soybean yield.

Downloads

Download data is not yet available.

Author Biographies

Luiz Claudio Rodrigues, UFMS

Universidade Federal de Mato Grosso do Sul (UFMS)

Cassiano Garcia Roque, UFMS

Universidade Federal de Mato Grosso do Sul (UFMS)

Fernando França da Cunha, UFV

Universidade Federal de Viçosa (UFV)

Paulo Cezar Gomes de Assunção, UFMS

Universidade Federal de Mato Grosso do Sul (UFMS)

Gabriela Vitória Souza, UFMS

Universidade Federal de Mato Grosso do Sul (UFMS)

Fabio Henrique Rojo Baio, UFMS

Universidade Federal de Mato Grosso do Sul (UFMS)

Job Teixeira de, UFMS

Universidade Federal de Mato Grosso do Sul (UFMS)

References

Bhering, L.L. (2017). Rbio: A Tool For Biometric And Statistical Analysis Using The R Platform. Crop Breeding and Applied Biotechnology, v.17: 187-190p, https://doi.org/10.1590/1984-70332017v17n2s29.

Borges, L.C; Nascimento, A.R; Morgado, C.M.A. (2022). Agricultura de precisão: ferramenta de gestão na rentabilidade e produtividade de grãos. Scientific Electronic Archives, v. 15, n. 3, DOI: https://doi.org/10.36560/15320221520.

Conab - Companhia Nacional de Abastecimento. (2021). Acompanhamento de safra brasileiro – grãos: safra 2020/2021: Brasília: Companhia Nacional de Abastecimento. Disponível em: <https://www.conab.gov.br/info-agro/safras/graos >.

Dalchiavon, F. C.; Carvalho, M. P. (2012). Correlação linear e espacial dos componentes de produção e produtividade da soja. Semina: Ciencias Agrarias, v. 33, n. 2, p. 541–552, http://dx.doi.org/10.5433/1679-0359.2012v33n2p541.

Fagundes, R. S., Uribe-Opazo, M. A., Guedes, L. P. C., Galea, M. (2018). Slash spatial linear modeling: soybean yield variability as a function of soil chemical properties. Revista Brasileira de Ciência do Solo, v. 42, https://doi.org/10.1590/18069657rbcs20170030.

Ferraz, G. A. S. Silva, F. M., Carvalho, L. C. C., Alves, M. C., Franco, B. C. (2012). Variabilidade espacial e temporal do fósforo, potássio e da produtividade de uma lavoura cafeeira. Engenharia Agrícola, v. 32, n. 1, p. 140-150, https://doi.org/10.1590/S0100-69162012000100015.

Flumignan, D. L., Fietz, C. R., Comunello, E. (2015). O clima na região do Bolsão de Mato Grosso do Sul. Embrapa Agropecuária Oeste. Documento 127, 42 p. https://www.infoteca.cnptia.embrapa.br/bitstream/doc/1007480/1/DOC2014127.pdf

Gamma Design Software. (2004). GS+:Geostatistics for the Environmental Sciences, Plainwell, Mich. https://geostatistics.com/.

Gajić, B.; Kresovic, B.; Tapanarova, A.; Zivotic, L.; Todorovic, M. (2018). Effect of irrigation regime on yield, harvest index and water productivity of soybean grown under different precipitation conditions in a temperate environment. Agricultural Water Management, Elsevier, v. 210 (c), p. 224-23, https://doi.org/10.1016/j.agwat.2018.08.002.

Garcia-Papani, F., Leiva, V., Uribe-Opazo, M. A., Aykroyd, R. G. (2018). Birnbaum-Saunders spatial regression models: Diagnostics and application to chemical data. Chemometrics and Intelligent Laboratory Systems, v. 177, p. 114-128, https://doi.org/10.1016/j.chemolab.2018.03.012.

Gelain, E., Bottega, E. L., Motomiya, A. V. A., & de Oliveira, Z. B. (2021). Variabilidade espacial e correlação dos atributos do solo com produtividade do milho e da soja. Nativa, 9(5), 536-543. DOI: 10.31413/nativa.v9i5.11717.

Guo, W.; Maas, S. J.; Bronson, K. F. (2012). Relationship between cotton yield and soil electrical conductivity, topography, and landsat imagery. Precision Agriculture, v. 13, p. 678-692, DOI: https://doi.org/10.1007/s11119-012-9277-2.

Jardine, J. G. Barros, T. D. (2021). Soja. Ageitec. Agência Embrapa de Tecnologia da Informação. Brasilia. Disponível em: <https://www.agencia.cnptia.embrapa.br/gestor/agroenergia/arvore/CONT000fbl23vmz02wx5eo0sawqe3vtdl7vi.html>.

Lima, E. D. S.; Montanari, R.; Lovera, L. H.; Teixeira, K. M. C. M.; Gonzales, A. P. (2017). Variabilidade espacial das propriedades dendrométricas do eucalipto e atributos químicos de um Neossolo Quartzarênico. Revista de Agricultura Neotropical, DOI: https://doi.org/10.32404/rean.v4i1.1194.

Montanari, R., Passos, M., Andreotti, M., Dalchiavon, F. C., Lovera, L. H., Honorato, M. A. O. (2010). Aspectos da produtividade do feijão correlacionados com atributos físicos do solo sob elevado nível tecnológico de manejo. Revista Brasileira de Ciência do Solo, v. 34, n. 6, p. 1811-1822, https://doi.org/10.1590/S0100-06832010000600005.

Moro, F.S., Pereira, C. S., Pereira, H. D., Fiorini, I. V. A., & Junior, E. U. R. (2021). Produtividade de grãos em soja e seus componentes sob diferentes densidades de plantio. Tecno-Lógica, 25(2), 314-319. https://doi.org/10.17058/tecnolog.v25i2.16216.

Oliveira, J. T., de Passos, M., Roque, C. G., Baio, F. H. R., Kamimura, K. M., da Silva Ribeiro, I., & Teodoro, P. E. (2018). Space variability of phenological indicators of common bean crop. Bioscience Journal, 34(2). doi: 10.14393/BJ-v34n2a2018-39659.

Oliveira, J. T., De Oliveira, R. A., Puiatti, M., Teodoro, P., & Montanari, R. (2020). Spatial analysis and mapping of the effect of irrigation and nitrogen application on lateral shoot growing of garlic. HortScience, 55(5), 664-665. https://doi.org/10.21273/HORTSCI14881-20.

Oliveira, Z. B., Knies, A. E., Bottega, E. L., da Silva, C. M., & Gomes, J. I. T. (2021). Influência da irrigação suplementar na produtividade de cultivares de soja para a safra e safrinha 2018-19 e 2019-20 na região central do RS. Brazilian Journal of Development, 7(2), 15580-15595. DOI:10.34117/bjdv7n2-263.

Pimentel-Gomes, F. P., Garcia, C. H. (2002). Estatística aplicada a experimentos agronômicos e florestais. Piracicaba, FEALQ. 309p. ISBN: 857133014X.

Santos, H. G., Jacomine, P. K. T., Anjos, L. H. C., Oliveira, V. A., Lumbreras, J. F., Coelho, M. R., & Cunha, T. J. F. (2018). Sistema brasileiro de classificação de solos. Brasília, DF: Embrapa, 2018. 5. ed., rev. e ampl. 356 p.: il. color. ISBN: 978-85-7035-800-4.

Shapiro, S. S.; Wilk, M. B. (1965). An analysis of variance test for normality: complete samples. Biometrika, Oxford, v. 52, n. 3-4, p. 591-611, https://doi.org/10.2307/2333709.

Teixeira, P. C., Donagemma, G. K., Fontana, A., & Teixeira, W. G. (2017). Manual de métodos de análise de solo. 3a edição ed. Brasília, DF: Embrapa Solos 574 p. il. color. ISBN: 978-85-7035-771-7.

Downloads

Published

2023-09-29

How to Cite

Rodrigues, L. C., Roque, C. G., Cunha, F. F. da, Assunção, P. C. G. de, Souza, G. V., Baio, F. H. R., & Job Teixeira de. (2023). Spatial variability of the productive components of the soybean crop. Agrarian Journal, 16(56), e16682. https://doi.org/10.30612/agrarian.v16i56.16682

Issue

Vol. 16 No. 56 (2023)

Section

Article - Agricultural Engineering

License

Copyright (c) 2023 Luiz Claudio Rodrigues, Cassiano Garcia Roque, Fernando França da Cunha, Paulo Cezar Gomes de Assunção, Gabriela Vitória Souza, Fabio Henrique Rojo Baio, Job Oliveira

Creative Commons License

This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 3.0 Unported License.

Authors who publish with this journal agree to the following terms:

  • Authors authorize the publication of the article in the journal.

  • The authors ensure that the contribution is original and unpublished and is not being evaluated in other journal.

  • The journal is not responsible for the opinions, ideas and concepts expressed in the texts because they are the sole responsibility of the authors.
  • The publishers reserve the right to make adjustments and textual adaptation to the norms.
  • Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.
  • Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal.
  • Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) only after publication.