AI Article Synopsis

  • The paper analyzes simulation models for three key agronomic factors affecting the yield and economic return of Genostemma pentaphyllum: plant density per mu, cuttage date, and nitrogen supplementation.
  • The analysis utilizes a quadratic orthogonal rotative regression design to identify relationships between these factors and their impact on crop performance.
  • Based on the findings, the study suggests optimal agronomic combinations for maximizing yield and economic benefits.

Article Abstract

In this paper, the simulation models for 3 main agronomic measures, plants/mu, cuttage date and supplement of nitrogen that affect the yield and economic effect of Genostemma:pentaphyllum, are analyzed by the quadratic orthogonal rotative regression design. As a result of the analysis optimal agronomic combination models are suggested.

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