Publications des scientifiques de l'IRD

Nehbandani A., Soltani A., Hajjarpoor Amir, Dadrasi A., Nourbakhsh F. (2020). Comprehensive yield gap analysis and optimizing agronomy practices of soybean in Iran. Journal of Agricultural Science, 158 (8-9), p. 739-747. ISSN 0021-8596.

Titre du document
Comprehensive yield gap analysis and optimizing agronomy practices of soybean in Iran
Année de publication
2020
Type de document
Article référencé dans le Web of Science WOS:000652536800011
Auteurs
Nehbandani A., Soltani A., Hajjarpoor Amir, Dadrasi A., Nourbakhsh F.
Source
Journal of Agricultural Science, 2020, 158 (8-9), p. 739-747 ISSN 0021-8596
Soybean is one of the key oil crops in global food security. The objective of the current study was to determine the magnitude of soybean yield and yield gaps (Yg) in the main producing regions in Iran, the main causes and possible solutions to reduce these gaps and improve yields. This study uses an integrated approach of crop simulation and on-farm information. The SSM-iCrop2 model was used to calculate the potential yield (Yp). Furthermore, management information of soybean farms (the number of monitored farms was 224) was collected and analysed with two methods, including stepwise regression (a production model was created and based on it, the yield-limiting factors were determined) and boundary line analysis (show the optimum level of crop management and simultaneously the percentage of farms that were out of the optimal range of a specific management procedure). The results showed a Yp of 4681 kg/ha while actual yield (Ya) was around 2257 kg/ha. The main factors causing Yg of soybean in Iran were irrigation, nitrogen fertilizer, phosphorus fertilizer and sowing date. Altering soybean sowing date to late June or early July, irrigating at least five times during the growing season, applying at least 50 kg/ha nitrogen and 45 kg/ha phosphorus base application are foremost management practices that could shrink the soybean yield gap in Iran. The results presented in this study can bring relevant transferable information to other soybean production areas sharing the same latitudes and climate, and the approach can be used for other crops worldwide.
Plan de classement
Sciences du monde végétal [076]
Description Géographique
IRAN
Localisation
Fonds IRD [F B010082084]
Identifiant IRD
fdi:010082084
Contact