@article{fdi:010082084,
  title = {{C}omprehensive yield gap analysis and optimizing agronomy practices of soybean in {I}ran},
  author = {{N}ehbandani, {A}. and {S}oltani, {A}. and {H}ajjarpoor, {A}mir and {D}adrasi, {A}. and {N}ourbakhsh, {F}.},
  editor = {},
  language = {{ENG}},
  abstract = {{S}oybean is one of the key oil crops in global food security. {T}he objective of the current study was to determine the magnitude of soybean yield and yield gaps ({Y}g) in the main producing regions in {I}ran, the main causes and possible solutions to reduce these gaps and improve yields. {T}his study uses an integrated approach of crop simulation and on-farm information. {T}he {SSM}-i{C}rop2 model was used to calculate the potential yield ({Y}p). {F}urthermore, 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). {T}he results showed a {Y}p of 4681 kg/ha while actual yield ({Y}a) was around 2257 kg/ha. {T}he main factors causing {Y}g of soybean in {I}ran were irrigation, nitrogen fertilizer, phosphorus fertilizer and sowing date. {A}ltering soybean sowing date to late {J}une or early {J}uly, 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 {I}ran. {T}he 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.},
  keywords = {{B}oundary line analysis ; crop simulation ; food security ; stepwise ; regression ; {IRAN}},
  booktitle = {},
  journal = {{J}ournal of {A}gricultural {S}cience},
  volume = {158},
  numero = {8-9},
  pages = {739--747},
  ISSN = {0021-8596},
  year = {2020},
  DOI = {10.1017/s0021859621000241},
  URL = {https://www.documentation.ird.fr/hor/fdi:010082084},
}