MULTIVARIATE ANALYSIS OF SOYBEAN AGRONOMIC TRAITS UNDER DIFFERENT PLANT STRUCTURE MANAGEMENT PRACTICES

Autores/as

DOI:

https://doi.org/10.66104/069gp719

Palabras clave:

Foliar fertilization; MGIDI; multivariate analysis; plant growth modulators; soybean yield.

Resumen

Soybean is a major crop in global agriculture, and the application of plant growth modulators offers a promising approach to improve yield; this study aimed to evaluate their effects on agronomic traits and yield components to identify the most effective management strategy and the primary determinants of grain yield using multivariate analytical techniques. The experiment was conducted in Mineiros, Goiás, Brazil, using a randomized block design with eight treatments and four replications under field conditions. Treatments involved the application of plant growth modulators PR136 (Prime), StoppingGo (Valence), Equaliza (Master), Stimulate (Stoller), Biozyme (UPL), MaxCel (Sumitomo), and StartStop (Blucorp) at the V4 growth stage, plus an untreated Control, and agronomic traits related to vegetative and reproductive growth were analyzed using multivariate analysis of variance (MANOVA), principal component analysis (PCA), linear mixed models, path analysis, and the Multi-Trait Genotype-Ideotype Distance Index (MGIDI). MANOVA detected significant differences among treatments (p < 0.05), PCA revealed consistent covariance patterns among traits with the first two principal components explaining a substantial portion of the total variance, and path analysis identified the number of pods per plant and stem base diameter as the main positive direct determinants of grain yield, whereas plant height and the number of lateral branches had negative effects. The MGIDI, applied with a 15% selection intensity, exclusively selected the Stimulate treatment as the closest to the ideal ideotype. Multivariate techniques proved effective for synthesizing information from multiple traits and supporting management decisions in soybean, highlighting Stimulate as the treatment with the most balanced multivariate performance and StoppingGo as particularly effective in optimizing plant architecture and yield components.

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Biografía del autor/a

  • Amarildo Borges da Silva, Centro Universitário de Mineiros

     

    Acadêmica de Agronomia. Centro Universitário de Mineiros. Mineiros, Goiás, Brasil. E-mail: amarildo@academico.unifimes.edu.br Orcid: https://orcid.org/0009-0005-5838-956X 

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

     

    Professor Titular. Universidade Regional do Noroeste do Estado do Rio Grande do Sul, Ijuí, Rio Grande do Sul. ivan.carvalho@unijui.edu.br Orcid: https://orcid.org/0000-0001-7947-4900

  • Diego Oliveira Ribeiro, Centro Universitário de Mineiros

     

    Professor Titular. Centro Universitário de Mineiros. Mineiros, Goiás, Brasil. E-mail: diego@unifimes.edu.br ORCID: https://orcid.org/0000-0003-2336-3042

  • Glicélia Pereira Silva, Centro Universitário de Mineiros

     

    Professora Titular. Centro Universitário de Mineiros. Mineiros, Goiás, Brasil. E-mail: glicelia@unifimes.edu.br ORCID: https://orcid.org/0000-0003-2440-8636

  • Alexandre Igor de Azevedo Pereira, Instituto Federal Goiano

     

    Professor Titular. Instituto Federal Goiano. Urutaí, Goiás, Brasil. E-mail: alexandre.pereira@ifgoiano.edu.br ORCID: https://orcid.org/0000-0001-7957-6691

  • Carmen Rosa da Silva Curvelo, Instituto Federal Goiano

     

    Professora Titular. Instituto Federal Goiano. Urutaí, Goiás, Brasil. E-mail: carmencurvelo@yahoo.com.br   ORCID: https://orcid.org/0000-0002-2003-3884

  • Rodrigo Vieira da Silva, Instituto Federal Goiano

     

    Professor Titular. Instituto Federal Goiano. Morrinhos, Goiás, Brasil. E-mail: rodrigo.silva@ifgoiano.edu.br ORCID: https://orcid.org/0000-0002-4778-627X

  • Deborah Amorim Martins, Centro Universitário de Mineiros

     

    Professora Substituta. Centro Universitário de Mineiros. Mineiros, Goiás, Brasil. E-mail: deborahamartins@unifimes.edu.br ORCID: https://orcid.org/0000-0002-1782-2380

Referencias

Al-Ashkar I, Sallam M, Almutairi KF, Shady M, Ibrahim A, Alghamdi SS, 2023a. Detection of high-performance wheat genotypes and genetic stability to determine complex interplay between genotypes and environments. Agronomy 13(2): 585. https://doi.org/10.3390/agronomy13020585 DOI: https://doi.org/10.3390/agronomy13020585

Al-Ashkar I, Sallam M, Ibrahim A, Ghazy A, Al-Suhaibani N, Ben Romdhane W, Al-Doss A, 2023b. Identification of wheat ideotype under multiple abiotic stresses and complex environmental interplays by multivariate analysis techniques. Plants 12(20): 3540. https://doi.org/10.3390/plants12203540 DOI: https://doi.org/10.3390/plants12203540

Amoanimaa-Dede H, Su C, Yeboah A, Zhou H, Zheng D, Zhu H, 2022. Growth regulators promote soybean productivity: a review. PeerJ 10: e12556. https://doi.org/10.7717/peerj.12556 DOI: https://doi.org/10.7717/peerj.12556

Ávila CJ, Santos V, 2018. Manejo integrado de pragas (MIP) na cultura da soja: um estudo de caso com benefícios econômicos e ambientais. Embrapa Agropecuária Oeste, Dourados, MS, Brazil.

Cobucci T, Di Stefano JG, Kluthcouski J, 1999. Manejo de plantas daninhas na cultura do feijoeiro em plantio direto. Embrapa Arroz e Feijão, Santo Antônio de Goiás, Brazil. 56 pp.

Ferreira LL, Ferreira LC, Fernandes MS, Prado RLF, Carvalho IR, Silva RV, Pereira AIA, Petersen GS, Almeida ÉV, 2025b. Análise multivariada aplicada à indução de resistência em soja. Caderno Pedagógico 22(7): e16515. https://doi.org/10.54033/cadpedv22n7-232 DOI: https://doi.org/10.54033/cadpedv22n7-232

Ferreira LL, Lemanski MC, de Sá Fernandes M, Prado RLF, Santos D, Carvalho IR, de Almeida ÉV, 2025a. Efeito da aplicação foliar de magnésio no crescimento e produtividade da soja: uma abordagem multivariada. Caderno Pedagógico 22(7): e16533. https://doi.org/10.54033/cadpedv22n7-239 DOI: https://doi.org/10.54033/cadpedv22n7-239

Khoi NT, 2024. Impact of basal phosphorus application and foliar molybdenum spray on the agronomic performance of DVN11 soybean. Journal of Experimental Agriculture International 46(9): 320–329. https://doi.org/10.9734/jeai/2024/v46i93270 DOI: https://doi.org/10.9734/jeai/2024/v46i92828

Krenchinski FH, Pereira VGC, Giovanelli BF, Cesco VJS, Alcántara-de la Cruz R, Velini ED, Carbonari CA, 2024. Glyphosate hormesis improves agronomic characteristics and yield of glyphosate-resistant soybean under field conditions. Agronomy 14(7): 1559. https://doi.org/10.3390/agronomy14071559 DOI: https://doi.org/10.3390/agronomy14071559

Mishra R, Tripathi MK, Sikarwar RS, Mishra 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

Pham QT, Nguyen TD, Nguyen ATN, Vu VL, 2023. Selection of elite purple waxy maize hybrids using the MGIDI multivariate selection method in Vietnam. Vietnam Journal of Science and Technology, Section B 65(2): 53–60. https://doi.org/10.31276/VJST.65(2).53-60 DOI: https://doi.org/10.31276/VJST.65(2).53-60

R Core Team, 2025. R: A language and environment for statistical computing. R Foundation for Statistical Computing, Vienna, Austria. Available at: https://www.R-project.org/

Sousa DMG, 2004. Cerrado: correção do solo e adubação. Embrapa Cerrados, Planaltina, Brazil.

Rajadhivya KS, Macwan SJ, Patel NJ, Bhanvadia AS, 2024. Impact of plant growth retardants and detopping on growth parameters in soybean (Glycine max L. Merrill). Asian Journal of Soil Science and Plant Nutrition 10(4): 310–322. https://doi.org/10.9734/ajsspn/2024/v10i4406 DOI: https://doi.org/10.9734/ajsspn/2024/v10i4406

Tigga P, Samaiya RK, Mishra Y, Banerjee J, 2024. Effect of plant growth regulators on physiological productivity and seed quality of soybean [Glycine max (L.) Merrill]. Biotechnology Journal International 28(4): 83–98. https://doi.org/10.9734/bji/2024/v28i4730 DOI: https://doi.org/10.9734/bji/2024/v28i4730

Vasconcelos ES, da Silva LA, dos Santos FA, 2024. Análise multidimensional da agricultura: uso de PCA e clustering para identificação de padrões e eficiência em práticas agrícolas. Caderno Pedagógico 21(13): e12679. https://doi.org/10.54033/cadpedv21n13-388 DOI: https://doi.org/10.54033/cadpedv21n13-388

Zamarian AS, Battistus AG, 2024. Performance of plant growth regulators in soybean cultivation under differente aplication methods. Contribuciones a las Ciencias Sociales 17(8): e10063. https://doi.org/10.55905/revconv.17n.8-558 DOI: https://doi.org/10.55905/revconv.17n.8-558

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Publicado

2026-04-28

Número

Vol. 13 Núm. 08 (2026): REMUNOM - ISSN 2178-6925

Sección

Artigos

Licencia

Derechos de autor 2026 Amarildo Borges da Silva, Ivan Ricardo Carvalho, Diego Oliveira Ribeiro, Glicélia Pereira Silva, Alexandre Igor de Azevedo Pereira, Carmen Rosa da Silva Curvelo, Rodrigo Vieira da Silva, Deborah Amorim Martins, Luiz Leonardo Ferreira

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Cómo citar

MULTIVARIATE ANALYSIS OF SOYBEAN AGRONOMIC TRAITS UNDER DIFFERENT PLANT STRUCTURE MANAGEMENT PRACTICES. (2026). REMUNOM, 13(08), 1-18. https://doi.org/10.66104/069gp719