Location: Adaptive Cropping Systems LaboratoryTitle: Assessment of planting date and climatic effects on soybean yields in Thailand using GLYCIM) Author
Submitted to: Meeting Abstract
Publication Type: Abstract Only
Publication Acceptance Date: 5/6/2009
Publication Date: N/A
Citation: N/A Interpretive Summary:
Technical Abstract: Evaluation of yield potential using field plots can provide valuable information for a strategic plan to increase soybean yield in Thailand. However, this process is time consuming and expensive. The mechanistic soybean model GLYCIM provides an alternative option to simulate yield under various growing conditions. The objective of this study was to evaluate the performance of GLYCIM under Thailand conditions and determine soybean yield potential as a function of planting date, soil type and cultivar for growing conditions in northeastern Thailand. Data from an experiment that was conducted in 2005 at the Asian Institute of Technology, Pathumthani, Thailand were used to determine the cultivar parameters for the cultivars CM-2, CM-60 and SJ-5 with three planting dates. The model was evaluated with data from this experiment. The model evaluation results indicated a good agreement between simulated and observed data for phenology, growth and yield of soybean, and demonstrated the potential of the model. Simulations were carried out to determine yield variation due to seven planting dates, three soil types and three cultivars for two locations, Sukhothai and Khonkaen in northern part of Thailand. The analysis showed that the planting date during first week and middle of May is more suitable for growing conditions for the both locations. Early (month of April) and delayed (middle of May to end of June) planting shows a reduction in yield potential with yield loss of ranging from 7% to 40%. The silt loam soil (Decature-6) has shown more yield potential as compared to loam (Dundee-18) and clay (Bangkok clay). Among the three cultivars CM-60 showed less yield loss as compared to cultivars CM-2 and SJ-5. This study showed that the soybean model GLYCIM can be a helpful tool for quantifying the yield potential and yield gaps, and could be applied to other production areas in Thailand.