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(Reference retrieved automatically from Web of Science through information on FAPESP grant and its corresponding number as mentioned in the publication by the authors.)

The Effectiveness of Three Vegetation Indices Obtained from a Canopy Sensor in Identifying Sugarcane Response to Nitrogen

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Author(s):
do Amaral, Lucas Rios [1] ; Molin, Jose Paulo [1]
Total Authors: 2
Affiliation:
[1] Univ Sao Paulo, Luiz de Queiroz Coll Agr, Dep Biosyst Engn, Piracicaba, SP - Brazil
Total Affiliations: 1
Document type: Journal article
Source: AGRONOMY JOURNAL; v. 106, n. 1, p. 273-280, JAN-FEB 2014.
Web of Science Citations: 14
Abstract

Methods for estimating the N response of sugarcane (Saccharum spp.) while considering a variable rate of N application are required to allow for improved nitrogen use efficiency (NUE) and higher yields. The objectives of this work were to compare the performance of three vegetation indices obtained from canopy sensor data to assess N in sugarcane fields at various crop stalk height as well as to determine the ability of these in-season sensor readings to predict the response of yield to N. Seven experiments were conducted in Brazil under different site conditions from 2009 to 2011. The treatments comprised five N application rates ranging from 0 to 200 kg N ha(-1). A CropCircle canopy sensor (model ACS-210, Holland Scientific Inc., Lincoln, NE) was used to determine the amber normalized difference vegetation index (aNDVI), chlorophyll index (CI), and inverse of the simple ratio (ISR) at different crop stalk heights. The N application increased the yield in only three fields (p < 0.1). The best results using the canopy sensor readings, chlorophyll and leaf N content were found when the average crop stalk height was between 0.4 and 0.7 m. A weak relationship was observed between the vegetation indices and N from tissue analyses. The best results were obtained with the ISR due to its high r(2), low root mean square error (RMSE), and consequently higher SEq with respect to sugarcane yield. The canopy reflectance sensor is a useful tool for identifying the variability within fields and to determine the variable rate of in-season N fertilizer application in sugarcane fields. (AU)

FAPESP's process: 11/08882-7 - Sugarcane nitrogen fertilization management at variable rates supported by ground optical sensors
Grantee:Lucas Rios Do Amaral
Support type: Scholarships in Brazil - Doctorate
FAPESP's process: 09/03372-0 - Sugar cane nitrogen fertilization management using ground active optical sensor
Grantee:Lucas Rios Do Amaral
Support type: Scholarships in Brazil - Master