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

被引:26
作者
do Amaral, Lucas Rios [1 ]
Molin, Jose Paulo [1 ]
机构
[1] Univ Sao Paulo, Luiz de Queiroz Coll Agr, Dep Biosyst Engn, Piracicaba, SP, Brazil
基金
巴西圣保罗研究基金会;
关键词
LEAF-AREA INDEX; IN-SEASON PREDICTION; GRAIN-YIELD; ALGORITHM; MAIZE;
D O I
10.2134/agronj2012.0504
中图分类号
S3 [农学(农艺学)];
学科分类号
0901 ;
摘要
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.
引用
收藏
页码:273 / 280
页数:8
相关论文
共 38 条
[1]   Strategies to evaluate goodness of reference strips for in-season, field scale, irrigated corn nitrogen sufficiency [J].
Bausch, Walter C. ;
Brodahl, Mary K. .
PRECISION AGRICULTURE, 2012, 13 (01) :104-122
[2]   Algorithms for sensor-based redistribution of nitrogen fertilizer in winter wheat [J].
Berntsen, J. ;
Thomsen, A. ;
Schelde, K. ;
Hansen, O. M. ;
Knudsen, L. ;
Broge, N. ;
Hougaard, H. ;
Horfarter, R. .
PRECISION AGRICULTURE, 2006, 7 (02) :65-83
[3]   Endophytic nitrogen fixation in sugarcane: present knowledge and future applications [J].
Boddey, RM ;
Urquiaga, S ;
Alves, BJR ;
Reis, V .
PLANT AND SOIL, 2003, 252 (01) :139-149
[4]  
Bremner J.M., 1982, American Society of Agronomy, V9, P595, DOI [10.2134/agronmonogr9.2.2-d.c31, DOI 10.2134/AGRONMONOGR9.2.2-D.C31]
[5]   How deep does a remote sensor sense? Expression of chlorophyll content in a maize canopy [J].
Ciganda, Veronica S. ;
Gitelson, Anatoly A. ;
Schepers, James .
REMOTE SENSING OF ENVIRONMENT, 2012, 126 :240-247
[6]   The MERIS terrestrial chlorophyll index [J].
Dash, J ;
Curran, PJ .
INTERNATIONAL JOURNAL OF REMOTE SENSING, 2004, 25 (23) :5403-5413
[7]   Optical sensor to support nitrogen fertilization recommendation for sugarcane crops [J].
do Amaral, Lucas Rios ;
Molin, Jose Paulo .
PESQUISA AGROPECUARIA BRASILEIRA, 2011, 46 (12) :1633-1642
[8]  
EMBRAPA-Brazilian Agricultural Research Corporation, 2006, BRAZ SOIL CLASS SYST
[9]  
Ferguson R., 2011, PRECIS AGRIC, P503
[10]   Urea and sugarcane straw nitrogen balance in a soil-sugarcane crop system [J].
Gava, GJD ;
Trivelin, PCO ;
Vitti, AC ;
de Oliveira, MW .
PESQUISA AGROPECUARIA BRASILEIRA, 2005, 40 (07) :689-695