|BEAN, GREGORY - University Of Missouri|
Submitted to: ASA-CSSA-SSSA Annual Meeting Abstracts
Publication Type: Abstract Only
Publication Acceptance Date: 9/6/2017
Publication Date: 10/22/2017
Citation: Bean, G.M., Kitchen, N.R. 2017. Derivation of a regional active-optical reflectance sensor corn algorithm [abstract]. ASA-CSSA-SSSA Annual Meeting, October 22-25, 2017, Tampa, Florida. Poster number 1248.
Technical Abstract: Active-optical reflectance sensor (AORS) algorithms developed for in-season corn (Zea mays L.) N management have traditionally been derived using sub-regional scale information. However, studies have shown these previously developed AORS algorithms are not consistently accurate when used on a regional scale. Thus, the creation of an AORS algorithm using data collected on a regional scale should be explored. The objective for this research was to determine if reflectance (collected at ~V9 development stage), soil, weather, and management information gathered across the US Midwest could be utilized to derive a regional active-optical reflectance sensor algorithm. Nitrogen response trials were conducted across eight states over three growing seasons, totaling 49 site-years with soils ranging in productivity. Nitrogen fertilizer recommendations from the regional algorithm were related to the end-of-season calculated economic optimal N rate. Results are forthcoming.