Washington, DC–(ENEWSPF)–November 18, 2011. Organic crop systems can provide similar yields and much higher economic returns than a conventional corn-soybean rotation, according to thirteen years of data from a side-by-side comparison at Iowa State University’s Neely-Kinyon Research and Demonstration Farm. The University’s Long-Term Agroecological Research Experiment (LTAR) began in 1998 with support from the Leopold Center for Sustainable Agriculture. LTAR is one of the longest running replicated comparisons in the country. Kathleen Delate, PhD., professor in ISU Agronomy and Horticulture, leads the project.
“The transitioning years are the hardest years,” Dr. Delate said, explaining that the project was originally designed to help farmers make the shift into an organic system. To sell a product as organic, the crop must be raised for three years prior to harvest in accordance with organic systems plans on land that has not been treated with synthetic fertilizers and has only been exposed to substances placed on the “NationL List, ” which is established by the Organic Foods Production Act.
The LTAR experiment shows that organic crops can remain competitive with conventional crops even during the three-year transition. Averaged over 13 years, yields of organic corn, soybean, and oats have been equivalent to or slightly greater than their conventional counterparts. Likewise, a 12-year average for alfalfa and an 8-year average for winter wheat also show no significant difference between organic yields and the Adair County average.
Organic crops fetch a premium price on the market and eliminate the need for expensive inputs like herbicides and synthetic fertilizers. As a result, they are far more profitable than conventional crops. Craig Chase, PhD., interim leader of the Leopold Center’s Marketing and Food Systems Initiative and extension farm management specialist, calculates the returns to management—that is, the money left over for family living after deducting labor, land, and production costs—for both systems. He bases his calculations on actual LTAR data from 1998 to 2004, as well as scenarios modeled with enterprise budgets.