Agronomic performance of soybean and its relation with the production environment

  • Éverton Deckert Prauchner Universidade Regional do Noroeste do Rio Grande do Sul
  • Laura Ramos Lima Universidade Regional do Noroeste do Rio Grande do Sul
  • Lisa Brönstrup Heusner Universidade Estadual de Londrina
  • Ivan Ricardo Carvalho Universidade Regional do Noroeste do Rio Grande do Sul
  • Gabriel Mathias Weimer Bruinsma Universidade Regional do Noroeste do Rio Grande do Sul
  • Willyan Júnior Adorian Bandeira Universidade Regional do Noroeste do Rio Grande do Sul
  • Jaqueline Piesanti Sangiovo Universidade Regional do Noroeste do Rio Grande do Sul
  • José Antonio Gonzalez Silva Universidade Regional do Noroeste do Rio Grande do Sul
  • Gerusa Massuquini Conceição Universidade Regional do Noroeste do Rio Grande do Sul
DOI: https://doi.org/10.33158/ASB.r211.v10.2024
Keywords: Glycine max, selection, positioning, cycle, nutritional characteristics, food industry, biodiesel

Abstract

The objective of the work is to identify the agronomic performance of soybeans and correlate meteorological attributes with yield components. The study was carried out at the Escola Fazenda of the Regional University of the Northwest of the State of Rio Grande do Sul - UNIJUÍ, located in Augusto Pestana – RS. The experimental design used was randomized blocks, consisting of 10 genotypes and five replications. Descriptive analysis was performed using mean plus standard deviation for variables that presented a coefficient of variation greater than 35%; normality and homogeneity tests were also performed, as well as analysis of variance, Tukey mean comparison tests and linear correlations supported by the t-test. Soybean grain yield is closely linked to meteorological elements, which play a crucial role in the fluctuations and frustrations of soybean agricultural harvests in the municipalities of Rio Grande do Sul. The significant correlations between yield indicate that the water factor is what more affects production. The TMG7362IPRO cultivar had a higher yield with 73 bags per ha-1. -Iin this context, the soybean GMR also influenced yield in relation to climatic relations and had a better positioning.

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Author Biographies

Éverton Deckert Prauchner, Universidade Regional do Noroeste do Rio Grande do Sul

Departamento de Estudos Agrários

Laura Ramos Lima, Universidade Regional do Noroeste do Rio Grande do Sul

Departamento de Estudos Agrários

Lisa Brönstrup Heusner, Universidade Estadual de Londrina

Departamento de Estudos Agrários

Ivan Ricardo Carvalho, Universidade Regional do Noroeste do Rio Grande do Sul

Departamento de Estudos Agrários

Gabriel Mathias Weimer Bruinsma, Universidade Regional do Noroeste do Rio Grande do Sul

Departamento de Estudos Agrários

Willyan Júnior Adorian Bandeira, Universidade Regional do Noroeste do Rio Grande do Sul

Departamento de Estudos Agrários

Jaqueline Piesanti Sangiovo, Universidade Regional do Noroeste do Rio Grande do Sul

Departamento de Estudos Agrários

José Antonio Gonzalez Silva, Universidade Regional do Noroeste do Rio Grande do Sul

Departamento de Estudos Agrários

Gerusa Massuquini Conceição, Universidade Regional do Noroeste do Rio Grande do Sul

Departamento de Estudos Agrários

References

Alvim, AM., & Fochezatto, A. (2020). The impacts of soy-based biodiesel on the main soy producers in the international market. Journal of Agricultural Studies. https://doi.org/10.5296/jas.v8i2.16204

Callou, K. R. A. (2015). Nutritional Aspects of Soy. Estácio Recife Electronic Journal, 1 (1), 1-10. https://reer.emnuvens.com.br/reer/article/view/15

Coêlho, J. D. (2024). Agriculture: Soy. Fortaleza, CE: Banco do Nordeste do Brasil. https://www.bnb.gov.br/s482-dspace/handle/123456789/1941.

Dubreuil, V., Fante, K. P., Planchon, O., & Neto, J. L. S. A. (2018). The types of annual climates in Brazil: an application of the Köppen classification from 1961 to 2015. Confins, Revue franco-brésilienne de géographie/ Franco-Brazilian geography Journal, (37). https://doi.org/10.4000/confins.15738.

MAPA – Ministério da Agricultura de Pecuária. (2024). Cultivar Web. Brasília, DF: MAPA. Available in: https://sistemas.agricultura.gov.br/snpc/cultivarweb/cultivares_registradas.php

Neumaier, N., Farias, J. R. B., Nepomuceno, A. L., Mertz-Henning, L. M., Foloni, J. S. S., Moraes, L. A. C., & Goncalves, S. L. (2020). Soybean ecophysiology. Sistemas de Produção, 17.https://www.alice.cnptia.embrapa.br/alice/bitstream/doc/1128387/1/p.-33-54-de-SP-17-2020

Norman,A. G. (1978) Soybean physiology, agronomy, and utilization. Washington, DC: Academic Press.

Paranhos, R., Figueiredo Filho, D. B., Rocha, E. C., Silva Júnior, J. A., Neves, J. A. B., & Santos, M. L. W. D. (2014). Unraveling the Mysteries of the Pearson Correlation Coefficient: The Payoff. Leviathan, (8), 66-95. https://doi.org/10.11606/issn.2237-4485.lev.2014.132346

Pimentel-Gomes, F. (2023). Experimental statistics course. Digitize Content. (15th ed.). Piracicaba, SP: FEALQ.

R Core Team. (2023). R: A language and environment for statistical computing. Vienna, Austria: R Foundation for Statistical Computing.

Silva, E. H. F. M., Antolin, L. A. S., Zanon, A. J., Andrade Junior, A. S., Souza, H. A., Carvalho, K. S., Vieira Junior, N. A., & Marin, F. R. (2021). Impact assessment of soybean yield and water productivity in Brazil due to climate change. European Journal of Agronomy, 129, 126329. https://doi.org/10.1016/j.eja.2021.126329

SISDAGRO - Sistema de Suporte à Decisão na Agropecuária (2022). Instituto Nacional de Meteorologia. – INMET. Brasília, DF: SISDAGRO. http://sisdagro.inmet.gov.br/sisdagro/app/index

Tejo, D. P., Fernandes, C. S., & Buratto, J. S. (2019). Soybean: phenology, morphology and factors that affect productivity. Faef electronic scientific journal of Agronomy, 35 (1), 1-9. http://faef.revista.inf.br/imagens_arquivos/arquivos_destaque/hw9EU5Lusw7rZZH_ 201 9-6-19-14-11-1

Vian, A., Bredemeier, C., Pires, J., Corassa, G., & Vanin, J. (2022). Aplicações da agricultura de precisão na cultura da soja. In: Martin, T. N., Pires, J. L. F., & Vey, R. T. (Eds.). Tecnologias aplicadas para o manejo rentável e eficiente da cultura da soja. (pp. 275-296). https://www.alice.cnptia.embrapa.br/alice/bitstream/doc/1146827/1/Cap-Aplicacoes

Published
2024-10-07
How to Cite
Prauchner, Éverton D., Lima, L. R., Heusner, L. B., Carvalho, I. R., Bruinsma, G. M. W., Bandeira, W. J. A., Sangiovo, J. P., Silva, J. A. G., & Conceição, G. M. (2024). Agronomic performance of soybean and its relation with the production environment. Agronomy Science and Biotechnology, 10, 1-13. https://doi.org/10.33158/ASB.r211.v10.2024
Issue
Vol. 10 (2024): Publication continues
Section
Article

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