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Poster Number 207

See more from this Division: ASA Section: Agronomic Production Systems
See more from this Session: General Sensor Based Nutrient Management: II
Tuesday, November 4, 2014
Long Beach Convention Center, Exhibit Hall ABC
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ABSTRACT WITHDRAWN

Sustainable and optimal economic N management requires correct and timely on-farm assessment of crop N status to detect N deficiency or excess. Optical sensors are promising tools to assess crop N status throughout a crop or at critical times. The ability of optical sensor measurements of canopy reflectance (Crop Circle ACS 470) and leaf chlorophyll (SPAD 502 chlorophyll meter (CM)) to assess crop N status was evaluated weekly throughout an indeterminate tomato crop. Strong linear relationships with the optical sensor measurements were obtained, throughout  most of the crop, for both (i) crop N content for ranges of 1.5–4.5%, and (ii) the nitrogen nutrition index (NNI) for ranges of 0.4–1.3. The relationships of the optical sensor measurements to crop NNI were generally equal to or slightly better than with crop N content. Indices based on reflectance in the red, the NDVI and the RVI, were the best predictors of crop N status in terms of goodness of fit, earliness and maintenance of relationships throughout the crop. SPAD chlorophyll readings and reflectance indices based on reflectance in the green, the GNDVI and the GVI, were good indicators of crop N status for most of the crop, but with lower goodness of fit in the latter part of the crop. The linear relationships between sensor indices and readings and NNI or crop N content, each week, demonstrated the potential for using proximal canopy reflectance indices such as NDVI and RVI, and chlorophyll meters for monitoring crop N status of indeterminate tomato crops. Threshold values for optimal crop N nutrition for canopy reflectance indices and for CM readings were derived for each day of measurement from the relationships between optical sensor measurements and NNI by solving for NNI=1. The threshold values obtained for each index and type of measurement varied during the crop cycle. The approach developed for determining threshold values from NNI can facilitate on-farm use of optical sensors for monitoring crop N status, by enabling assessment of whether crop N status is excessive, deficient or adequate.
See more from this Division: ASA Section: Agronomic Production Systems
See more from this Session: General Sensor Based Nutrient Management: II