Development of a Response Index for Corn Robert Mullen Ohio State University
Response Index RI first proposed by Johnson and Raun, 2003 (inverse of sufficiency index) RI = Yield of N Rich / Yield of Check (0N) Direct measure of N response
Response Index Can we reliably predict the response to applied N during the growing season? Environmentally and economically important Less N subject to denitrification, leaching, and runoff Produce more with less inputs Is the relationship stable at different stages of growth?
Response Index In-season estimates of RI were used to identify RI at harvest for winter wheat
Response Index Would RI for corn work as well? Can RI be identified at early stages of growth (< V8)?
Response Index Varvel et al., 1997 Used SPAD meters to identify N response at various stages of growth V6 – R3 Relationship has been established between GNDVI and SPAD meter reading (Shanahan et al., 2003)
Can RI work for corn? Varvel data shows that pseudo-RI can be determined at various stages of growth Very little data for some stages of growth Lack of response at most locations (especially where corn followed soybeans)
Can RI be estimated at early stages of growth? Red NDVI determined significant difference between N rate at V4 N rate RNDVI 0.209 0.204 60 0.234 0.249 120 0.247 0.239 180 0.263 0.244 Linear P=0.0149 P=0.0319
Can RI be estimated at early stages of growth? Green and red NDVI determined differences between treatments at V6 N rate RNDVI GNDVI 0.531 0.437 60 0.654 0.530 120 0.664 0.546 180 0.678 0.540 Linear P=0.0001
Discussion Practicality of N rich strip Production scale agriculture without sophisticated sensors Answer N loss questions and helps make N application decisions
Discussion The earlier, the better Determination of RI early in the season would be better Lack of high-clearance application equipment Increase in application window
Conclusions? Continue research to identify relationship between RI-NDVI and RI-Harvest for corn. “Calibrate” RI at various growth stages with N application rates if yield cannot be predicted accurately (this will be difficult). Encourage use of N rich strips in production fields to answer simple N application questions.
Questions?