A methodological approach for defining spectral indices for assessing tomato nitrogen status and yield

被引:78
作者
Gianquinto, G. [1 ]
Orsini, F. [1 ]
Fecondini, M. [1 ]
Mezzetti, M. [1 ]
Sambo, P. [2 ]
Bona, S. [2 ]
机构
[1] Univ Bologna, Dept Agroenvironm Sci & Technol DISTA, I-40126 Bologna, Italy
[2] Univ Padua, Dept Environm Agron & Crop Sci DAAPV, I-35020 Padua, Italy
关键词
Optical sensor; Intrinsic Vegetation Index; Soil Adjusted Vegetation Index; Plant nutritional status; Nitrogen; CANOPY REFLECTANCE; VEGETATION INDEXES; OPTICAL TOOLS; LEAF NITROGEN; WINTER-WHEAT; PLANT-GROWTH; CORN; PREDICTION; FERTILIZATION; RESPONSES;
D O I
10.1016/j.eja.2011.05.005
中图分类号
S3 [农学(农艺学)];
学科分类号
0901 ;
摘要
Efficient use of fertilizers is a main goal that research in agriculture shall address. Dynamic fertilization management is a way of bringing nutrients to the plant when they are crucial for its development. However, destructive measurements of crop nitrogen status are still too costly and time consuming to justify their use, and the implementation of methodologies based upon non-destructive, quick and easy to use tools for plant nutritional status monitoring appears as an appealing opportunity. In this paper vegetation indices based on crop reflectance through the use of a multispectral radiometer (MSR-87, Cropscan Inc.) are compared. Results from three years of experimentation are provided in order to evaluate (a) relations existing between several vegetation indices and both leaf chlorophyll and nitrogen content: (b) the ability of the tool to respond to different nutrient supply and/or (c) to predict yield. A methodological approach for the definition of the most reliable index is proposed and the adopted procedure allows to define the NIR/R-560, even with some degrees of incertitude, as the most suitable index for the evaluation of tomato crop nutritional status. (C) 2011 Elsevier B.V. All rights reserved.
引用
收藏
页码:135 / 143
页数:9
相关论文
共 48 条
[1]   SPECTRA OF NORMAL AND NUTRIENT-DEFICIENT MAIZE LEAVES [J].
ALABBAS, AH ;
BARR, R ;
HALL, JD ;
CRANE, FL ;
BAUMGARDNER, MF .
AGRONOMY JOURNAL, 1974, 66 (01) :16-20
[2]   Changes in spectral reflectance of wheat leaves in response to specific macronutrient deficiency [J].
Ayala-Silva, T ;
Beyl, CA .
SPACE LIFE SCIENCES: GROUND-BASED IRON-ION BIOLOGY AND PHYSICS, INCLUDING SHIELDING, 2005, 35 (02) :305-317
[3]  
Baret F., 1989, 12 CANADIAN S REMOTE, VVolume 3, P1355, DOI [10.1109/igarss.1989.576128, DOI 10.1109/IGARSS.1989.576128, 10.1109/IGARSS.1989.576128]
[4]   TECHNIQUES FOR MONITORING CROP NITROGEN STATUS IN CORN [J].
BLACKMER, TM ;
SCHEPERS, JS .
COMMUNICATIONS IN SOIL SCIENCE AND PLANT ANALYSIS, 1994, 25 (9-10) :1791-1800
[5]   Cotton canopy reflectance at landscape scale as affected by nitrogen fertilization [J].
Bronson, KF ;
Booker, JD ;
Keeling, JW ;
Boman, RK ;
Wheeler, TA ;
Lascano, RJ ;
Nichols, RL .
AGRONOMY JOURNAL, 2005, 97 (03) :654-660
[6]   In-season nitrogen status sensing in irrigated cotton: II. Leaf nitrogen and biomass [J].
Bronson, KF ;
Chua, TT ;
Booker, JD ;
Keeling, JW ;
Lascano, RJ .
SOIL SCIENCE SOCIETY OF AMERICA JOURNAL, 2003, 67 (05) :1439-1448
[7]   Effects of nitrate supply on plant growth, nitrate accumulation, metabolic nitrate concentration and nitrate reductase activity in three leafy vegetables [J].
Chen, BM ;
Wang, ZH ;
Li, SX ;
Wang, GX ;
Song, HX ;
Xi-Na, W .
PLANT SCIENCE, 2004, 167 (03) :635-643
[8]   Characterizing water and nitrogen stress in corn using remote sensing [J].
Clay, D. E. ;
Kim, Ki-In ;
Chang, J. ;
Clay, S. A. ;
Dalsted, K. .
AGRONOMY JOURNAL, 2006, 98 (03) :579-587
[9]   Nonparametric predictive comparison of proportions [J].
Coolen, F. P. A. ;
Coolen-Schrijner, P. .
JOURNAL OF STATISTICAL PLANNING AND INFERENCE, 2007, 137 (01) :23-33
[10]   NITRATE - NUTRIENT AND SIGNAL FOR PLANT-GROWTH [J].
CRAWFORD, NM .
PLANT CELL, 1995, 7 (07) :859-868