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ARS Home » Midwest Area » Columbia, Missouri » Cropping Systems and Water Quality Research » Research » Publications at this Location » Publication #137026
Title: THE ZONES PROJECTS: UNDERSTANDING SOYBEAN YIELD VARIABILITY

Author
item PALM, H - UNIV OF MISSOURI
item WIEBOLD, W - UNIV OF MISSOURI
item Kitchen, Newell
item Sudduth, Kenneth - Ken
item BATCHELOR, W - IOWA STATE UNIV
item CLAY, D - SOUTH DAKOTA SU
item PIERCE, F - WASHINGTON SU
item SCHULER, R - UNIV OF WISCONSIN
item THELEN, K - MICHIGAN SU

Submitted to: International Conference on Precision Agriculture Abstracts & Proceedings
Publication Type: Abstract Only
Publication Acceptance Date: 7/17/2002
Publication Date: 12/1/2002
Citation: PALM, H.L., WIEBOLD, W.J., KITCHEN, N.R., SUDDUTH, K.A., BATCHELOR, W.D., CLAY, D.E., PIERCE, F.J., SCHULER, R.T., THELEN, K.D. THE ZONES PROJECTS: UNDERSTANDING SOYBEAN YIELD VARIABILITY. PROCEEDINGS 6TH INTERNATIONAL CONFERENCE ON PRECISION AGRICULTURE. 2002. CD-ROM (UNPAGINATED). AMERICAN SOCIETY OF AGRONOMY. MADISON, WI.

Interpretive Summary:

Technical Abstract: Two regional projects funded by the North Central Soybean Research Program and the United Soybean Board are entitled Mapping of Soil and Field Characteristics to Understand Soybean Yield and Using Remotely Sensed Data to Diagnose Soybean Yield Limiting Factors. These projects were developed in response to focus group interviews of soybean producers in the Midwest. Their expressed needs included an understanding of the reasons for soybean yield variation, availability of efficient methods to measure field characteristics, and use of software to effectively analyze the huge amounts of data. Co-PIs from IA, IL, MI, MO, SD and WI have completed three years of field research on the first project. Data summarization and statistical analyses are nearing completion resulting in several papers being presented at this conference. Co-PIs and co-investigators within each of the states are completing their final year with the second project that relates more to various abiotic and biotic factors. Five model systems were established to study water stress, soybean diseases, soybean cyst nematode, herbicide injury, weed competition, and insect damage. Guide sheets for producers are being prepared that will cover measuring soil electrical conductivity, topographical mapping, statistical tests for analyzing yield variability, remote sensing for in-season scouting and remote sensing as a tool to help delineate site-specific management zones.