Computer Modeling Can Contribute to Thai Soybean Production

Oct 27, 2009 By Ann Perry
Computer Modeling Can Contribute to Thai Soybean Production
Research leader Vangimalla Reddy (foreground) reviews a computer model that simulates soybean plant growth while soil scientist Dennis Timlin checks instruments that regulate the conditions in growth chambers.

(PhysOrg.com) -- Agricultural Research Service (ARS) scientists are testing the soybean model GLYCIM to improve its performance under a range of conditions around the world. In the process, they’ve been able to pinpoint the best agronomic practices for maximizing soybean production in Thailand.

GLYCIM was designed to simulate the growth of any cultivar on any at any location and for any time of year. ARS research leader Vangimalla Reddy and soil scientist Dennis Timlin at the ARS Crops Systems and Global Change Laboratory in Beltsville, Md., partnered with scientists S. B. Lokhande and V.M. Salokhe, who work at the Asian Institute of Technology in Pathumthani, Thailand, to see how well GLYCIM estimated soybean yield potential in Thailand.

The team programmed GLYCIM with data from a field study conducted in Thailand that tracked soybean growth and yield. Then they introduced new data—including four years of weather measurements, seven planting dates, three soil types and three soybean cultivars—and developed 504 cultivation and yield scenarios for two key soybean production areas in northern Thailand.

The scientists already knew that high temperature stress could reduce soybean yields, and this study indicated that losses at the two Thai locations could be as high as 40 percent. GLYCIM results also indicated that it is critical for farmers to use optimal planting dates to achieve high yields at these sites. Planting on May 2 and May 16 produced the greatest yields, while earlier planting resulted in yield losses ranging from 7 percent to 17 percent. Yield losses in delayed planting simulations averaged around 30 percent.

These results further support GLYCIM’s use as a comprehensive mechanistic model for predicting soybean growth, development and yield across a range of agricultural systems. For instance, the model can help Thai farmers identify the best dates and soybean cultivars to obtain the highest yields, which could help increase production to meet current and future demand. Farmers in Thailand and other tropical regions could also use GLYCIM to estimate how different management practices could be adjusted to deal with the effects of global climate change and changing weather patterns.

This research supports the U.S. Department of Agriculture priorities of responding to climate change and promoting international food security.

Provided by USDA Agricultural Research Service

Explore further: New study charts the global invasion of crop pests

add to favorites email to friend print save as pdf

Related Stories

Plant soybean early to increase yield

Feb 02, 2009

Over the past decade, two-thirds of Indiana growers have shifted to planting their soybean crop earlier because they believe that earlier planting increases yield. Planting date is probably one of the most important yet least ...

No consistent advantage for planting soybean early

Mar 16, 2009

Planting soybean on the optimum date produces maximum yield and profit without increasing production costs. Unfortunately, the optimum planting date is hard to indentify, because it varies from year to year, depending on ...

Herbicide-tolerant crops can improve water quality

Apr 22, 2008

The residual herbicides commonly used in the production of corn and soybean are frequently detected in rivers, streams, and reservoirs at concentrations that exceed drinking water standards in areas where these crops are ...

Recommended for you

New study charts the global invasion of crop pests

12 hours ago

Many of the world's most important crop-producing countries will be fully saturated with pests by the middle of the century if current trends continue, according to a new study led by the University of Exeter.

Zambia lifts ban on safari hunting

14 hours ago

Zambia has lifted a 20-month ban on safari hunting because it has lost too much revenue, but lions and leopards will remain protected, the government said Wednesday.

The devastating spread of the mountain pine beetle

20 hours ago

When the mountain pine beetle began blazing a path across forests in British Columbia and Alberta, nobody could have imagined the extent of the damage to come. But as the insect devastated pine forests and ...

User comments : 0