Start Date

18-11-1997 12:00 AM

Description

Grain producers face many decisions each year concerning the practices they will engage in and the products they will use. Markets for grains in the United States and the world over are changing. Due to the availability of affordable and reliable testing, the value of intrinsic characteristics like oil and protein can be realized at receiving points. Once identified and preserved, value-added grains can be directed to the best end use. Soybean processors are measuring protein and oil levels as reflected in higher value of oil and meal. As demand for value-added commodities increases in the United States, seed companies contribute by providing new products for specific uses in both new and traditional markets. Data concerning the performance of specific genetics over time and geographic location have several applications to assist seed companies, producers, and processors in their decision making. This "Locational Database" has been made accessible for public use. The Iowa State University Grain Quality Laboratory has been testing grains for 20 years and has been involved with the evolution of Near-Infrared (NIR) analysis. Over the years, thousands of corn and soybean samples have been tested from all over the United States. The Locational Database is an accumulation of data for the last five years for all samples meeting selection criteria. This database is made available via the Internet and can be downloaded for individual applications. The Internet address is: http://www.exnet.iastate.edu/Pages/grain/Qualdata.html.

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Nov 18th, 12:00 AM

Tools for Value-Added Grain Marketing

Grain producers face many decisions each year concerning the practices they will engage in and the products they will use. Markets for grains in the United States and the world over are changing. Due to the availability of affordable and reliable testing, the value of intrinsic characteristics like oil and protein can be realized at receiving points. Once identified and preserved, value-added grains can be directed to the best end use. Soybean processors are measuring protein and oil levels as reflected in higher value of oil and meal. As demand for value-added commodities increases in the United States, seed companies contribute by providing new products for specific uses in both new and traditional markets. Data concerning the performance of specific genetics over time and geographic location have several applications to assist seed companies, producers, and processors in their decision making. This "Locational Database" has been made accessible for public use. The Iowa State University Grain Quality Laboratory has been testing grains for 20 years and has been involved with the evolution of Near-Infrared (NIR) analysis. Over the years, thousands of corn and soybean samples have been tested from all over the United States. The Locational Database is an accumulation of data for the last five years for all samples meeting selection criteria. This database is made available via the Internet and can be downloaded for individual applications. The Internet address is: http://www.exnet.iastate.edu/Pages/grain/Qualdata.html.