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Introduction

  • Plasticity of Soy: High adaptability of soy varieties (Glycine max) to different environmental and management conditions, evidenced through morphological changes.

  • Objective of Study: Evaluate the effects of varying densities of soybean cultivar BRS 8381 on agronomic characteristics.

Experimental Design

  • Location: Experiment conducted in the Cerrado area, Agua Boa of Embrapa Roraima.

  • Design: Randomized block design in a 2x4 factorial scheme with four replications.

  • Treatments:

    • Years of cultivation: 2015 and 2016

    • Plant densities: 10, 14, 18, and 22 plants per linear meter

  • Measured Attributes:

    • Plant height (PH)

    • Height of insertion of the first pod (HIFP)

    • Stem diameter (SD)

    • Number of nodes on the stem (NNS)

    • Number of pods per plant (NPP)

    • Number of branches per plant (NBP)

    • Dry mass of plant (DMP)

    • Harvest index (HI)

    • Grain yield (GY)

Agronomic Characteristics

Findings

  • Max Productivity: Highest average productivity for BRS 8381 is achieved with a population of 387,448 plants per hectare.

  • Unsuitable Density: 22 plants per meter is not suitable for Roraima's Cerrado conditions.

  • Influencing Factors: Rainfall and temperature significantly affect BRS 8381's growth patterns.

Material and Methods

  • Climate: Rainy tropical climate with

    • Annual rainfall: 1667 mm

    • Avg. temperature: 27.4°C

  • Soil Type: Dystrophic Yellow Latosol (LAdx) with specific nutrient concentrations.

  • Experimental Setup:

    • Each plot consisted of 8 linear meters, maintaining density treatments.

    • Cultural treatments included pest, disease, and weed control based on established recommendations.

Measurements of Agronomic Characteristics

  • Plant Height Measurement: Height measured from ground to plant apex.

  • Stem Diameter Measurement: Measured at the insertion of the first pod using a digital caliper.

  • Dry Mass Determination: Conducted by weighing dried plant material after 72 hours in an oven.

  • Yield Measurements: Grain yield calculated post-harvest based on kg per hectare.

Results and Discussion

Vegetative Characteristics

  • Height & Nodes:

    • Linear growth response in height based on density, significant increase in 2016.

    • Node count varies with density across years; 2016 showed no variation.

  • Contributory Factors:

    • Interrelation between growth habit changes due to rainfall and light conditions.

Characteristics That Influence Productivity

  • Stem Diameter: Variant by year and density, important for lodging resistance.

  • Branch Count: Decreased with increased density, linked to light availability.

  • Plant Dry Mass: Correlated with lower densities showing higher biomass.

Productive Characteristics

  • Pods and Grain Mass:

    • Number of pods per plant and dry grain mass influenced by density and cultivation year.

    • Dry grain mass increases observed in 2016 compared to 2015, correlating to plant density.

  • Harvest Index: No significant treatment effect identified; influenced by environmental conditions.

Conclusion

  • Optimal Density: BRS 8381 achieves highest average productivity at about 19.37 plants per linear meter.

  • Environmental Impact: Conditions in Roraima significantly affect the growth and yield of soybean.

  • Recommendations: Adjust planting density accordingly to maximize productivity, particularly avoiding high-density planting which may hinder grain yield.

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