237-6 Vegetation Indices to Support Nitrogen Sidedressing in Potatoes.
See more from this Division: ASA Section: Climatology & ModelingSee more from this Session: Airborne and Satellite Remote Sensing: I
Tuesday, November 4, 2014: 3:20 PM
Renaissance Long Beach, Renaissance Ballroom II
Cultivation of potato (Solanum tuberosum L.) in The Netherlands contributes significantly to the pollution of groundwater with nitrates. Previous work has shown that in-season determination of sidedress N rate based on proximal sensing of crop N uptake allows savings of 25-30 kg N ha-1 without a negative effect on yield. A crucial element of the in-season sidedress system is the vegetation index (VI) that is used to measure N uptake. The objective of our study was to determine whether a chlorophyll-specific index such as TCARI/OSAVI allows for a better measurement of potato N uptake than the WDVI that has been used so far. We used a previously published dataset on potatoes (cv. Bintje) growing in Wageningen, The Netherlands, in the years 1997-2000. We found that TCARI/OSAVI seems to be a slightly worse predictor of aboveground biomass and of aboveground organic N than WDVI. These results are surprising TCARI/OSAVI is sensitive to the amount of chlorophyll in the canopy and can therefore be expected to be a better predictor than WDVI of organic N content, and, given the strong and linear correlation between total N and organic N in the aboveground parts of the crop, a better predictor of total N in the aboveground parts. We consider our results not to indicate a failure of TCARI/OSAVI which seems to perform well in many cases described in the literature, but rather as the outcome of potato plants adjusting canopy growth to the availability of N and thus keeping N concentration in the canopy within narrow bounds, thus effectively making biomass a good predictor of N uptake. We conclude that determination of N uptake by potatoes using WDVI is at least as precise as with TCARI/OSAVI.
See more from this Division: ASA Section: Climatology & ModelingSee more from this Session: Airborne and Satellite Remote Sensing: I