Soybean cultivar production under application of varying effective microorganism rates

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Samuel López Salinas
Modesto Osmar Da Silva Oviedo
Wilfrido Daniel Lugo Pereira

Abstract

The objective of this study was to evaluate the response of soybean cultivars under the application of different doses of Effective Microorganisms [EM-1]. The field experiment was conducted at Estancia La Margarita II, San Pedro, Department of San Pedro, Paraguay, at an elevation of 200 m a.s.l., at coordinates 23°40′38.5″S, 56°54′24.7″W. A randomized complete block design was used, with eight treatments and three replications, totaling 24 experimental units in a 2 × 4 factorial arrangement: factor A = soybean cultivars and factor B = EM-1 dose. Data were subjected to analysis of variance, and means were compared using Tukey’s test at the 1% and 5% significance levels; regression analysis was also performed. Measurements included plant height at 30, 60, and 90 days after sowing [DAS], number of pods per plant, number of grains per pod, and yield (kg ha-1). The statistical analysis showed that plant height differed significantly for factor B (EM-1 dose) at 30 DAS and highly significantly for both factors at 60 and 90 DAS, with a significant interaction only at 90 DAS. For pods per plant, both factors and their interaction (A × B) were highly significant, whereas grains per pod showed no statistical differences. Regarding yield, significant differences were found for both factors; notably, the 30 L ha⁻¹ EM-1 dose achieved the highest yield (1,916.16 kg ha-1), corresponding to a 29.68% increase.

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How to Cite
López Salinas, S., Da Silva Oviedo, M. O., & Lugo Pereira, W. D. (2026). Soybean cultivar production under application of varying effective microorganism rates. Siembra, 13(1), e9189 . https://doi.org/10.29166/siembra.v13i1.9189
Section
Original article
Author Biographies

Samuel López Salinas, Universidad Nacional de Concepción, Facultad de Ciencias Agrarias. Concepción, Paraguay

https://orcid.org/0009-0006-1502-5739

Modesto Osmar Da Silva Oviedo, Universidad Nacional de Concepción, Facultad de Ciencias Agrarias. Concepción, Paraguay

https://orcid.org/0000-0003-2546-3936

Wilfrido Daniel Lugo Pereira, Universidad Nacional de Concepción, Facultad de Ciencias Agrarias. Concepción, Paraguay

https://orcid.org/0000-0001-7217-1587

References

Barbosa, J., & Maldonado W. (2015). AgroEstat – Online statistical analyses of experimental designs. https://www.etp.com.py/libro/Experimenta%C3%A7ao-Agronomica--AgroEstat-104437

Battisti, R., Sentelhas, P. C., Pascoalino, J. A. L., Sako, H., de Sá Dantas, J. P., & Moraes, M. F. (2018). Soybean yield gap in the areas of yield contest in Brazil. International Journal of Plant Production, 12(3), 159–168. https://doi.org/10.1007/s42106-018-0016-0 DOI: https://doi.org/10.1007/s42106-018-0016-0

Cámara Paraguaya de Exportadores y Comercializadores de Cereales y Oleaginosas [CAPECO]. (2023). Área de siembra, producción y rendimiento. CAPECO. https://capeco.org.py/area-de-siembra-produccion-y-rendimiento/

Costa-Neto, G., Crespo-Herrera, L., Fradgley, N., Gardner, K., Bentley, A. R., Dreisigacker, S., Fritsche-Neto, R., Montesinos-López, O. A., & Crossa, J. (2023). Envirome-wide associations enhance multi-year genome-based prediction of historical wheat breeding data. G3, 13(2). https://doi.org/10.1093/g3journal/jkac313 DOI: https://doi.org/10.1093/g3journal/jkac313

Cvijanović, G., Đukić, V., Bajagić, M., Mamlić, Z., Šević, B., Cvijanović, V., & Ivetić, A. (2024a). Influence of Effective Microorganisms and mineral fertilizers on soil biogenicity parameters and soybean yield. International Journal of Innovative Approaches in Agricultural Research, 8(4), 324–335. https://doi.org/10.29329/ijiaar.2024.1109.5 DOI: https://doi.org/10.29329/ijiaar.2024.1109.5

Dirección de Meteorología e Hidrología [DMH]. (2025). Datos Actuales de la Red de Estaciones Meteorológicas Automáticas de la DMH/DINAC. Estaciones Meteorológicas Automáticas. https://www.meteorologia.gov.py/emas/

Du, K., Huang, J., Wang, W., Zeng, Y., Li, X., & Zhao, F. (2024). Monitoring low-temperature stress in winter wheat using TROPOMI solar-induced chlorophyll fluorescence. IEEE Transactions on Geoscience and Remote Sensing, 62, 1–11. https://doi.org/10.1109/TGRS.2024.335114 DOI: https://doi.org/10.1109/TGRS.2024.3351141

Empresa Brasileira de Pesquisa Agropecuária [EMBRAPA] (2020). Tecnologias de produção de soja – Região Central do Brasil 2020 (Sistemas de Produção, No. 16). Embrapa Soja. https://www.embrapa.br/soja

Fattah, A., Sjam, S., Daud, I. D., Dewi, V. S., & Ilyas, A. (2020). Impact of armyworm Spodoptera litura (Lepidoptera: Noctuidae) attack: Damage and loss of yield of three soybean varieties in South Sulawesi, Indonesia. Journal of Crop Protection, 9, 483–495.

Favoretto, V. R., Murithi, H. M., Leles, E. P., da Santos, F. M., Chigeza, G., Goldsmith, P., Coyne, D., & Clough, S. J. (2025). Soybean rust‐resistant and tolerant varieties identified through the Pan‐African Trial Network. Pest Management Science, 81(6), 2769–2775. https://doi.org/10.1002/ps.8639 DOI: https://doi.org/10.1002/ps.8639

Gawęda, D., Haliniarz, M., Woźniak, A., & Harasim, E. (2018). Yield, seed quality and nodule formation of soybean under application of effective microorganisms. Acta Agrophysica, 25(1), 35–43. https://doi.org/10.31545/aagr0003 DOI: https://doi.org/10.31545/aagr0003

Gibbert, K., Melgarejo, M., Amarilla, D., Bogado, M., Bogado, B., & Jandrey, E. (2018). Características agronómicas de dos cultivares de soja sobre diferentes densidades de semeadura. Cultivando Saber, 9(3), 61–68. https://cultivandosaber.fag.edu.br/index.php/cultivando/article/view/875

Gupta, K., Dubey, N. K., Singh, S. P., Kheni, J. K., Gupta, S., & Varshney, A. (2021). Plant Growth-Promoting Rhizobacteria (PGPR): Current and future prospects for crop improvement. In A. N. Yadav, J. Singh, C. Singh, & N. Yadav (eds.), Current Trends in Microbial Biotechnology for Sustainable Agriculture (pp. 203–226). Springer Singapore. https://doi.org/10.1007/978-981-15-6949-4_9 DOI: https://doi.org/10.1007/978-981-15-6949-4_9

Instituto de Biotecnología Agrícola [INBIO]. (2023). Estimación de superficies, soja–arroz–maíz, campaña agrícola 2022–2023 con teledetección satelital y sistemas de información geográfica (SIG). INBIO. https://inbio.org.py/wp-content/uploads/2024/01/10-Zafra-Estimacion-superficie-zafra-2022-2023_.pdf

Kumar, A., Maurya, B. R., Raghuwanshi, R., Meena, V. S., & Tofazzal Islam, M. (2017). Co-inoculation with enterobacter and rhizobacteria on yield and nutrient uptake by wheat (Triticum aestivum L.) in the alluvial soil under indo-gangetic plain of India. Journal of Plant Growth Regulation, 36(3), 608–617. https://doi.org/10.1007/s00344-016-9663-5 DOI: https://doi.org/10.1007/s00344-016-9663-5

Lavayen Toala, G. J. (2024). Estrategias biotecnológicas para el uso de microorganismos en cultivos sustentables. Sapiens Sciences International Journal, 2(1), e-21008. https://sapiensdiscoveries.com/index.php/sapiens_sciences/article/view/68

Mishra, R., Tripathi, M. K., Sikarwar, R. S., Singh, Y., & Tripathi, N. (2024). Soybean (Glycine max L. Merrill): a multipurpose legume shaping our world. Plant Cell Biotechnology and Molecular Biology, 25(3–4), 17–37. https://doi.org/10.56557/pcbmb/2024/v25i3-48643 DOI: https://doi.org/10.56557/pcbmb/2024/v25i3-48643

Molinas, A. S. (2024). Tipos de suelos en la región oriental del Paraguay según el sistema Soil Taxonomy - "Racionalización del uso de la tierra" MAG/BM 1995. https://ing-alfredo-molinas.blogspot.com/2025/07/tipos-de-suelos-en-la-region-oriental.html

Moretti, L. G., Crusciol, C. A. C., Bossolani, J. W., Calonego, J. C., Moreira, A., Garcia, A., Momesso, L., Kuramae, E. E., & Hungria, M. (2021). Beneficial microbial species and metabolites alleviate soybean oxidative damage and increase grain yield during short dry spells. European Journal of Agronomy, 127, 126293. https://doi.org/10.1016/j.eja.2021.126293 DOI: https://doi.org/10.1016/j.eja.2021.126293

Safwat, S. M., & Matta, M. E. (2021). Environmental applications of Effective Microorganisms: a review of current knowledge and recommendations for future directions. Journal of Engineering and Applied Science, 68(1), 48. https://doi.org/10.1186/s44147-021-00049-1 DOI: https://doi.org/10.1186/s44147-021-00049-1

Santos, M. S., Nogueira, M. A., & Hungria, M. (2019). Microbial inoculants: reviewing the past, discussing the present and previewing an outstanding future for the use of beneficial bacteria in agriculture. AMB Express, 9(1), 205. https://doi.org/10.1186/s13568-019-0932-0 DOI: https://doi.org/10.1186/s13568-019-0932-0

Sivasubramanian, S., & Namasivayam, S. K. R. (2013). Evaluation of phenol degradation by effective microorganism (EM) technology with EM-1. African Journal of Microbiology Research, 7(32), 4117–4122. https://doi.org/10.5897/AJMR12.1077

Vitale, P., Crossa, J., Vaccino, P., & de Vita, P. (2024). Defining the target population of environments for wheat (Triticum aestivum L.) breeding in Italy based on historical data. Plant Breeding, 143(4), 518–533. https://doi.org/10.1111/pbr.13192 DOI: https://doi.org/10.1111/pbr.13192

Zhi, Y., Sun, T., Zhou, Q., & Leng, X. (2020). Screening of safe soybean cultivars for cadmium contaminated fields. Scientific Reports, 10, 12965. https://doi.org/10.1038/s41598-020-69803-4 DOI: https://doi.org/10.1038/s41598-020-69803-4

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