Managing Global Resources for a Secure Future

2017 Annual Meeting | Oct. 22-25 | Tampa, FL

106036 Corn Stalk Nitrate Test Spatial Variability.

Poster Number 927

See more from this Division: SSSA Division: Nutrient Management and Soil and Plant Analysis
See more from this Session: Nutrient Management and Soil and Plant Analysis General Poster

Monday, October 23, 2017
Tampa Convention Center, East Exhibit Hall

Angel Maresma Galindo, Pilar Berenguer, Rachel Breslauer, Aristotelis C. Tagarakis and Quirine M. Ketterings, Animal Science, Cornell University, Ithaca, NY
Abstract:
The corn stalk nitrate test (CSNT) is a post-harvest plant test that can be used to identify where N application rates exceeded crop N needs, allowing for more informed decisions on adjustment N management in the following years (adaptive management process to N management for corn). Current recommendations suggest sample densities of 1 stalk acre-1, creating a composite sample per field for analysis. The aim of this study was to: (1) analyze within-field CSNT spatial variability and its relation with silage yield; (2) evaluate yield-based, targeted, CSNT sampling; and (3) evaluate the relation between CSNT and soil Electrical Conductivity (EC). Field experiments were conducted between 2013 and 2015. Stalks were collected 1 or 2 days after corn silage harvest. Forage yields were evaluated by yield monitors and soils were scanned for soil EC using a Veris® EC Mapper. Our results showed that higher yielding fields consistently obtained more homogenous CSNT values than low-yield fields or areas within fields. The spatial variability in CSNT was reduced by determining different yield zones and analyzing them separately. Soil EC was indirectly correlated with yield zones; high-yield zones had the lowest EC. The data suggest that a yield-based CSNT sampling protocol can improve the adaptive management process where within-field variability exists.

See more from this Division: SSSA Division: Nutrient Management and Soil and Plant Analysis
See more from this Session: Nutrient Management and Soil and Plant Analysis General Poster