@article {10.3844/ajabssp.2012.143.149,
article_type = {journal},
title = {Simulation of Soybean Growth under Sowing Date Management by CROPGRO Model},
author = {Paknejad, Farzad and Pad, Pouria Farahani and Ilkaee, Mohammad Nabi and Fazeli, Faezeh},
volume = {7},
year = {2012},
month = {Mar},
pages = {143-149},
doi = {10.3844/ajabssp.2012.143.149},
url = {https://thescipub.com/abstract/ajabssp.2012.143.149},
abstract = {Problem statement: Always because of weather change, determine of optimum sowing date in each zone is difficult. Dynamic models can help us for solving this problem. In order to evaluation of soybean simulation by using of CROPGRO-Soybean model at four sowing date in field research of Azad university of Karaj branch a field experiment conducted in form of split plot in based on randomize complete block design with four replication in 2009s. Approach: At this experiment simulation of some traits such Leaf Area Index (LAI), Leaf Dry Weight (LDW), Stem Dry Weight (SDW) and Biomass (B) evaluated for cv. Williams using of CROPGRO-Soybean. According to results, model was successful in the traits simulation, because of high Wilmot coefficient produced (0.6), 20 days after planting to the end of the growth duration. Results: Model explained well stem dry weight, as correlation coefficient in each sowing date was significant (p},
journal = {American Journal of Agricultural and Biological Sciences},
publisher = {Science Publications}
}