Influence of high-plant densities on soybean productivity

Authors

  • Lesly Analay Yanes Simón Universidade Estadual de São Paulo Júlio de Mesquita Filho, Faculdade de Ciências Agrarias e Veterinárias, São Paulo, Brasil. https://orcid.org/0000-0003-2512-6681
  • Alexander Calero Hurtado Universidad de Sancti Spíritus José Martí Pérez. Centro Universitario Municipal de Taguasco Enrique José Varona, Sancti Spíritus, Cuba https://orcid.org/0000-0001-6536-2908
  • Wilfredo Bárbaro Valdivia Pérez Universidad de Sancti Spíritus José Martí Pérez. Facultad de Ciencias Agropecuarias, Sancti Spíritus, Cuba https://orcid.org/0000-0002-2009-445X
  • Leonardo Bianco de Carvalho Universidade Estadual de São Paulo Júlio de Mesquita Filho. Faculdade de Ciências Agrarias e Veterinárias, São Paulo, Brasil https://orcid.org/0000-0001-8110-3471

DOI:

https://doi.org/10.5281/zenodo.11528387

Keywords:

Glycine max, Planting distance, Planting season, Soil, Yield

Abstract

Increasing planting densities in soybean crop [Glycine max (L.) Merr], can be an efficient alternative to get information about the parameters that affect your performance. Therefore, the objective of this investigation was to evaluate the influence of high-plant densities on the yield increase of soybean crop variety ‘Cubasoy 23’. This field study was developed between the months of November 2021 and February 2022. The experimental design adopted was randomized blocks with four densities 6, 12, 18, and 24 plant/m2 and five replications. The parameters evaluated were the number of branches per plant, number of pods per branch, number of pods per plant, number of grains per plant, mass of 100 grains (g), and yield (kg/ha). The results showed a positive effect on the productive components and yield of soybean crop. Additionality, plant density of 24 plants/m2 increased the yield by 80 %, 48 % y 27 %, respectively, compared to the others plant densities assessed. Collectively, the results of this study indicate that the density of 24 plants/m2 was the most promising for this sowing season and crop system.

Downloads

Download data is not yet available.

References

ANDRADE, José … [et al.] (2019). Assessing the influence of row spacing on soybean yield using experimental and producer survey data. Field Crops Research. Estados Unidos. Vol. 230, pp. 98-106.

CALERO HURTADO, Alexander … [et al.] (2018). Efecto de cuatro densidades de siembra en el rendimiento agrícola del frijol común (Phaseolus vulgaris L.). Revista de la Facultad de Ciencias. Colombia. Vol. 7, No. 1, pp. 88-100.

CALERO HURTADO, Alexander … [et al.] (2020). Management of different planting densities and application of efficient microorganisms increase rice productivity. IDESIA. Chile. Vol. 38, No. 2, pp. 109-117.

CALERO HURTADO, Alexander, OLIVERA, Dilier y GARCIA, Víctor (2015). Influencia de cuatro distancias de trasplante sobre el rendimiento agrícola del cultivar de arroz Amistad-82. InfoCiencia. Cuba. Vol. 19, No. 2, pp. 13-23.

CARCIOCHI, Walter … [et al.] (2019). Soybean seed yield response to plant density by yield environment in North America. Agronomy Journal. Estados Unidos. Vol. 111, No. 4, pp. 1923-1932.

CATTELAN, Alexandre José y DALL’AGNOL, Amélio (2018). The rapid soybean growth in Brazil. Oilseeds & fats Crops and Lipids. Francia. Vol. 15, No. 1, pp. 1-12.

CHENG, Bin … [et al.] (2020). Effects of multiple planting densities on lignin metabolism and lodging resistance of the strip intercropped soybean stem. Agronomy. España. Vol. 10, No. 8, pp. 1177.

CHENG-ZHI, Cai … [et al.] (2021). Global warming and world soybean yields. Journal of Agrometeorology. India. Vol. 23, No. 4, pp. 367–374.

CHEȚAN, Felicia … [et al.] (2021). The Effects of management (tillage, fertilization, plant density) on soybean yield and quality in a three-year experiment under Transylvanian plain climate conditions. Land. Suiza. Vol. 10, No. 2, pp. 200.

DOMÍNGUEZ BARÓ, Geider, MARTÍNEZ ROBELL, Yoana y VILLALOBOS OLIVERA, Ariel. (2021). Evaluación agro-productiva del cultivo del frijol (Phaseolus vulgaris L) en dos sistemas de producción. Universidad & ciencia. Cuba. Vol. 10, No. 3, pp. 24-40.

FAO, (2021). Faostat. [en línea]. S.l.: Disponible en: http://www.fao.org/faostat/en/#data/QC. Visitado: 23 de enero de 2023.

HARAMOTO, Erin (2019). Species, seeding rate, and planting method influence cover crop services prior to soybean. Agronomy Journal. Estados Unidos. Vol. 111, No. 3, pp. 1068-1078.

HERNÁNDEZ, Alberto … [et al.] (2015). Clasificación de los suelos de Cuba. 2da ed. Cuba. Ed. Ediciones Instituto Nacional de Ciencias Agrícolas (INCA), 93 p.

IUSS-WRB (2022). World Reference Base for soil resources. International soil classification system for naming soils and creating legends for soil maps. 4ta ed. Vienna, Austria. Ed. FAO, 234 p.

LIU, Shulin … [et al.] (2020). Toward a “Green Revolution” for soybean. Molecular Plant. Estados Unidos. Vol. 13, No. 5, pp. 688-697.

MARRERO PUEBLA, Odalis, HECHAVARRÍA PANEQUE, Yolennis y SANTOS FUENTES, Elizabet (2021). Respuesta morfoagronómica en variedades de Soya en suelo Fluvisol del municipio de Cauto Cristo (Original). Redel. Revista Granmense de Desarrollo Local. Cuba. Vol. 5, No. 2, pp. 348-358.

MEDEROS-RAMÍREZ, Alejandro y ORTIZ-PÉREZ, Rodobaldo (2021). INCASoy-2, nuevo cultivar de soya (Glycine max L.). Cultivos Tropicales. Cuba. Vol. 42, No. 4, pp. e08.

MINISTERIO DE LA AGRICULTURA [MINAG] (2019). Instructivo técnico para la producción de frijol y maíz. 1ra ed. La Habana, Cuba. Ed. Ministerio de la Agricultura. 42 p.

PÉREZ VALDIVIA, Wilfredo Bárbaro, LEÓN ORELLANA, Nelson Antonio y COCA RODRÍGUEZ, Liuder Isidoro (2021). Comportamiento agroproductivo del cultivo de la soya (Glycine max L.) con diferentes marcos de siembra. InfoCiencia. Cuba. Vol. 25, No. 2, pp. 36-45.

R CORE TEAM, (2019). R: A language and environment for statistical computing; 2015. Disponible en: http://www.r-project.org/. Visitado: 12 de febrero de 2023.

RANDELOVIĆ, Predrag … [et al.] (2020). Prediction of soybean plant density using a machine learning model and vegetation indices extracted from RGB images taken with a UAV. Agronomy. España. Vol. 10, No. 8, pp. 1108.

RÍOS-HILARIO, Josué Jonathan … [et al.] (2023). Comportamiento productivo del cultivo de soya variedad salcer a diferentes densidades de población y momentos de cosecha. Revista Fitotecnia Mexicana. México. Vol. 46, No. 1, pp. 3-3.

Published

2023-09-26 — Updated on 2024-02-07

Versions

How to Cite

Yanes Simón, L. A., Calero Hurtado, A., Valdivia Pérez, W. B., & Bianco de Carvalho, L. (2024). Influence of high-plant densities on soybean productivity. Universidad & Ciencia, 12(3), 155–166. https://doi.org/10.5281/zenodo.11528387 (Original work published September 26, 2023)

Issue

Section

Artículos Originales