Tue, Jul 17, 2018
5:00pm to 5:40pm
Although there typically is a poor relationship between yield and optimum N rates for corn across diverse sets of fields, many N management algorithms and models include yield estimates as part of the equations. Yield predictions are used to determine end-of-season yield and estimate total N uptake. This is important as information on total N uptake, together with estimates of soil N supply through organic matter mineralization, crop rotation credits, manure-based N supply, and losses of N from application to close to crop harvest are important inputs for N management. Here we focus on two questions: (1) how important is it to be able to accurately predict yield for within-field N management for corn?; and (2) how can we most accurately assess and predict yield in the first place?
Quirine Ketterings joined Cornell University in fall 2000 to provide leadership for the field crops nutrient management extension and applied research program of the College of Agriculture and Life Sciences. Quirine received her BSc from Agricultural College Deventer and MSc from Wageningen University, both in the Netherlands, and her PhD from Ohio State University. She established and leads the Cornell Nutrient Management Spear Program (NMSP, http://nmsp.cals.cornell.edu), the college’s applied research, teaching and extension program for field crop fertilizer and manure management, that aims to (1) improve dairy industry awareness of soil fertility management, and (2) aid in the development and implementation of agronomically and environmentally sound nutrient management practices at dairy and other livestock farms and cash grain operations.