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The paper presents studies of the influence of different agricultural backgrounds on the yield of winter wheat using DSSAT 4.8.5 (the Decision Support System for Agrotechnology Transfer) to determine field productivity taking into account the dynamics of precipitation and evapotranspiration during the growing season. DSSAT 4.8.5 is used to forecast grain crop yields taking into account soil and meteorological features for 2023–2024. Based on the results of agroecological monitoring of winter wheat (Triticum aestivum L.) of Alekseich variety cultivated on leached chernozem of the training and experimental farm of Stavropol State Agrarian University, CERES-Wheat and Weather Data models were tested. To adjust the model, information about the soil, the system of nitrogen fertilizer application (monitoring, Background N13Р60, Background + N35, Background + N51, Background + N70, Background + N87), weather conditions, and winter wheat biomass development characteristics were used. After adjustment, the modeled dates of phenological phases differed from the real ones by 95 days from sowing to flowering, by 24 days from sowing to full ripeness, and yield from 1.45% (Background + N35) to 20.65% (Background + N70). In general, the study showed the potential possibility of adjusting the CERES-Wheat model and Weather Data of the DSSAT 4.8.5 system for modeling winter wheat yields on differentiated background and assessing field productivity in the conditions of the unstable moisture zone of the Central Ciscaucasia.

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Modeling of Winter Wheat Yields on Different Backgrounds in the Zone of Unstable Moisture in the Central Ciscaucasia

  • 会议论文

  • 发表日期：

    2026年

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  • Elena Pismennayа,
  • Vladimir Sitnikov,
  • Alena Ozheredova,
  • Yulia Serednyak

摘要

The paper presents studies of the influence of different agricultural backgrounds on the yield of winter wheat using DSSAT 4.8.5 (the Decision Support System for Agrotechnology Transfer) to determine field productivity taking into account the dynamics of precipitation and evapotranspiration during the growing season. DSSAT 4.8.5 is used to forecast grain crop yields taking into account soil and meteorological features for 2023–2024. Based on the results of agroecological monitoring of winter wheat (Triticum aestivum L.) of Alekseich variety cultivated on leached chernozem of the training and experimental farm of Stavropol State Agrarian University, CERES-Wheat and Weather Data models were tested. To adjust the model, information about the soil, the system of nitrogen fertilizer application (monitoring, Background N13Р60, Background + N35, Background + N51, Background + N70, Background + N87), weather conditions, and winter wheat biomass development characteristics were used. After adjustment, the modeled dates of phenological phases differed from the real ones by 95 days from sowing to flowering, by 24 days from sowing to full ripeness, and yield from 1.45% (Background + N35) to 20.65% (Background + N70). In general, the study showed the potential possibility of adjusting the CERES-Wheat model and Weather Data of the DSSAT 4.8.5 system for modeling winter wheat yields on differentiated background and assessing field productivity in the conditions of the unstable moisture zone of the Central Ciscaucasia.