Documenting production process and estimating the yield gap of Rice by comparative performance analysis (CPA) in Sari region

Subject Areas : Crop Production Research

Rozhin Sheykhei ¹ , Hormoz Fallah ² , Niknejad Niknejad ³ , Salman Dastan ⁴ , Davood Barari Tari ⁵

1 - Department of Agronomy, Am.C., Islamic Azad University, Amol, Iran
2 - Department of Agronomy, Am.C., Islamic Azad University, Amol, Iran
3 - Department of Agronomy, Am.C., Islamic Azad University, Amol, Iran
4 - Agricultural Biotechnology Research Institute of Iran (ABRII), Karaj, Iran
5 - Department of Agronomy, Am.C., Islamic Azad University, Amol, Iran

Received: 2025-04-10 Accepted : 2025-06-12 Published : 2025-06-21

Keywords: Actual yield, Field management, Potential yield, Rice, Stepwise regression,

Abstract :

Documenting the production process in agriculture includes providing all information and activities that show the course of production from the seedbed preparation stage to the harvest stage. Research indicates that the initial stage in decreasing the yield gap is to recognize the significant factors that restrict yield. Therefore, the purpose of this study was to document the production process and estimate the yield gap of local rice cultivars using the Comparative Performance Analysis (CPA) method. In this research, all management operations performed from seedbed preparation stage to harvest stage for local cultivars in 100 paddy fields were recorded. Research was done in 100 paddy fields in the Sari region of Mazandaran province in 2016 and 2017. In order to determine the yield model (production), the relationship between all variables and paddy yield was investigated through step-by-step regression. Yield gap was also obtained from the difference between potential yield and actual yield. The results revealed that of the 155 variables under study, the final model with eight independent variables was chosen. In the yield model, an average and maximum yield were 4437 and 6690 kg ha-1, respectively, and the estimated yield gap was 2253 kg ha-1. The amount of increased yield has been related to seedling age, transplanting date, seedling number per hill, and harvesting by combining variables equals 104, 224, 534, and 24 kg ha-1 includes 5, 10, 24, and 1% of the total yield increase. Moreover, the yield increases related to the effects of crop rotation, potassium usage, nitrogen after flowering, and top-dressing frequency was 262, 408, 405 and 292 kg ha-1 equals 12, 18, 18, and 13%. According to the finding, it is expressed that the model precision is appropriate and can be applied for both estimation of the quantity of the yield gap and determining the portion of each constraint's yield variables. Furthermore, regarding the fact that calculated yield potential is reached through actual data in each paddy field, it has been stated that this yield potential is attainable. While the primary objective of this study was to assess the extent of the rice yield gap in the Sari region, it is important to conduct further investigations and research to understand the underlying causes of this yield gap. However, the most plausible solution for increasing yield and minimizing the yield gap appears to be enhancing crop management practices in farmers' fields.

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