|
Evaluation of rice grain yield gap in eastern Golestan province
|
Abbas Biabani   , Hadiseh Faramarzi Kohsar * , Ayhan Agh Arkakli |
|
|
|
Abstract: (44 Views) |
Introduction: Rice (Oryza sativa L.) is a strategic crop for food security globally and in Iran, necessitating continuous optimization of its production. In Golestan Province, particularly the eastern regions (Minudasht, Galikash, Gonbad, Kalaleh), a significant gap is observed between actual yield and potential yield. The objective of this research was to precisely quantify this Yield Gap and identify the primary management factors influencing it across the region’s field. To achieve this, the scientific method of Comparison yield Analysis (CPA) was employed. This analytical method, through mathematical modeling, facilitates the determination of the contribution of each limiting factor to yield reduction. The significance of this study lies in providing quantitative data for developing practical solutions and enhancing sustainable rice productivity in the region’s irrigated ecosystems. Yield gap analysis based on the CPA method allows researchers and agricultural managers to direct limited resources toward interventions that offer the greatest return in mitigating constraints, ultimately moving production levels closer to the actual potential. This research, by focusing on controllable management factors, provides a clear path for increasing field’ income and ensuring production in this key area.
Materials and methods: This study was conducted through field surveys in the east of Golestan Province. A sample consisting of 50 leading fild was selected across the counties of Galikash, Kalaleh, and Maraveh Tappeh. The data collection process involved meticulous monitoring of agronomic practices from planting to harvest, recording information related to approximately 20 management and environmental variables. The primary method utilized in the analysis was the comparison yield Analysis (CPA), which was executed based on field data using advanced regression models. Specifically, the Stepwise Regression technique was employed to select the most optimal set of independent variables that possessed the greatest explanatory power for yield. These analyses were yield using the statistical software SAS version 9.4, while initial processing and visualization of results were accomplished with Excel 2010. This approach ensures that the identified limiting factors carry the highest statistical significance and that the results have greater generalizability across the region.
Results: The results of the analysis indicated that the average actual yield in the surveyed field was 4492 kg/ha. In contrast, the potential yield calculated by the CPA model was 3798 kg/ha, resulting in a Yield Gap of 693 kg/ha. Stepwise regression analysis identified three management factors as the main determinants of the yield gap in the region: tillage frequency seed rate, and potassium fertilizer application frequency. These findings imply that by optimizing these three managerial components, the yield gap can be effectively reduced, and rice production efficiency in eastern Golestan Province can be enhanced.
Conclusion: A noteworthy point in this study is the calculated difference between the actual yield (4492 kg/ha) and the model’s potential (3798 kg/ha), which necessitates a deeper investigation beyond the management variables examined in this research, although the factors mentioned represent the most critical farmer-controllable variables. |
|
| Keywords: Achievable yield, Comparative yield analysis, Yield gap |
|
|
Full-Text [PDF 560 kb]
(17 Downloads)
|
Type of Study: Research |
Subject:
Ecophysiology
Received: 2025/12/29 | Accepted: 2024/10/21 | Published: 2024/10/21
|
|
|
|
|
|
|
| Add your comments about this article |
|
|
|
