319-11 Precision Technologies to Determine Optimum Nitrogen Management in Europe.

See more from this Division: ASA Section: Agronomic Production Systems
See more from this Session: Symposium--Active Optical Sensors For Adaptive Nitrogen Management

Wednesday, November 6, 2013: 2:05 PM
Marriott Tampa Waterside, Grand Ballroom A

Roger Sylvester-Bradley and Daniel Kindred, ADAS UK, Cambridge, United Kingdom
Abstract:
Nitrogen (N) requirements of small grain cereals in North West Europe commonly range between 100 and 300 kg ha‑1 because grain yields are large and growing conditions are variable.  Despite much research over 170 years, N management in Europe is still subject to great imprecision.  Multi-site experiments in the UK show that official advice only predicts within 50 kg ha‑1 of the optimum N amount in 50% of cases.  What is more, as shown by six recent chessboard experiments, variation is commonly as great within fields as between fields; optimum N amounts within areas of 4-5 ha varied by 100 kg ha‑1 or more.  Prediction of optimum N amounts is problematic because, whether between or within fields, variation may principally arise through any of (i) crop N demand, (ii) soil N supply, or (iii) fertiliser N recovery.  These components are also commonly correlated; in particular, crop N demand often relates positively to soil N supply.  Precision technologies thus have the daunting challenge of not only predicting all three components of fertiliser N requirement, but also of predicting the associations between them.  Where precision technologies are employed in NW Europe it is common practice for inter-field variation to be predicted ‘manually’ and for N applications to be adjusted from this pre-set level according to intra-field variation in canopy reflectance indices such as NDVI or GDVI.  Our current research is directed at improving interpretation of canopy reflectance data and augmenting these with predictions of crop N demand based on past grain yields.  However, there are currently no leads to guide prediction of the extensive variation in fertiliser N recovery, so this variation commonly remains ignored.  We contend that improved predictions of fertiliser N requirements depend on the networking and coordination of field-scale experimentation, so that soil-by-management interactions become better understood.

See more from this Division: ASA Section: Agronomic Production Systems
See more from this Session: Symposium--Active Optical Sensors For Adaptive Nitrogen Management