Modeling the effects of nitrogen fertilizer and multiple weed interference on soybean yield

Jong Seok Song, Ji Hoon Im, Jin Won Kim, Dong Gil Kim, Yeonhwa Lim, Min Jung Yook, Soo Hyun Lim, Do Soon Kim

Research output: Contribution to journalArticlepeer-review

5 Scopus citations


Understanding the effects of nitrogen (N) fertilizer on soybean-weed competition is essential for establishing a practical tool for N application and weed management. A two-year field experiment was conducted in a soybean field located in Bogatyrka (43.82 N, 131.6 E), Primorsky krai, Russia, to investigate the effects of N fertilizer and multiple-weed interference on soybean (Glycine max) yield and to model these effects. Soybean yield loss caused by the interference of multiple weeds including common ragweed (Ambrosia artemisiifolia), barnyard grass (Echinochloa crus-galli), and American slough grass (Beckmannia syzigachne) at different levels of N fertilizer was accurately described by a combined model incorporating inverse quadratic and exponential models into the rectangular hyperbolic model for two parameters Y0 and β, respectively. The combined model used in our study indicated that the application of N up to 36 kg N ha−1 can increase weed-free soybean yield by 2.2 Mg ha−1 but soybean yield under multiple-weed interference can sharply decrease with increasing total density equivalent, particularly at 36 kg N ha−1 . These results, including the combined model, thus can support decision making for weed management under different N uses in soybean cultivation.

Original languageEnglish
Article number515
Issue number3
StatePublished - Mar 2021


  • Combined model
  • Crop-weed competition
  • Multiple weed interference
  • Nitrogen fertilization
  • Primorsky krai
  • Soybean


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