Premium
Sensor‐Based Nitrogen Applications Out‐Performed Producer‐Chosen Rates for Corn in On‐Farm Demonstrations
Author(s) -
Scharf Peter C.,
Shan D. Kent,
Palm Harlan L.,
Sudduth Kenneth A.,
Drummond Scott T.,
Kitchen Newell R.,
Mueller Larry J.,
Hubbard Victoria C.,
Oliveira Luciane F.
Publication year - 2011
Publication title -
agronomy journal
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.752
H-Index - 131
eISSN - 1435-0645
pISSN - 0002-1962
DOI - 10.2134/agronj2011.0164
Subject(s) - crop , yield (engineering) , fertilizer , agronomy , nitrogen , environmental science , zea mays , mathematics , agricultural engineering , chemistry , biology , materials science , engineering , organic chemistry , metallurgy
Optimal N fertilizer rate for corn ( Zea mays L.) and other crops can vary substantially within and among fields. Current N management practices do not address this variability. Crop reflectance sensors offer the potential to diagnose crop N need and control N application rates at a fine spatial scale. Our objective was to evaluate the performance of sensor‐based variable‐rate N applications to corn, relative to constant N rates chosen by the producer. Fifty‐five replicated on‐farm demonstrations were conducted from 2004 to 2008. Sensors were installed on the producer's N application equipment and used to direct variable‐rate sidedress N applications to corn at growth stages ranging from V6 to V16. A fixed N rate chosen by the cooperating producer was also applied. Relative to the producer's N rate, sensors increased partial profit by $42 ha −1 ( P = 0.0007) and yield by 110 kg ha −1 ( P = 0.18) while reducing N use by 16 kg N ha −1 ( P = 0.015). This represents a reduction of approximately 25% in the amount of N applied beyond what was removed in the grain, thus reducing unused N that can move to water or air. Our results confirm that sensors can choose N rates for corn that perform better than rates chosen by producers.