CHEMICAL CHARACTERIZATION OF VOLCANIC SOILS USING NEAR INFRARED SPECTROSCOPY (NIRS)

被引:1
|
作者
Lobos Ortega, Iris [1 ]
Alfaro Valenzuela, Marta [1 ]
Martinez Lagos, Josue [1 ]
Pavez Andrades, Paula [1 ]
机构
[1] INIA Remehue, Inst Invest Agr, Ruta 5 Norte,Km 8, Osorno, Chile
关键词
volcanic soil; calibration model; FT-NIRS; mineral composition; ORGANIC-MATTER; REFLECTANCE; CARBON; PREDICTION; FERTILITY; QUALITY; SCALE;
D O I
10.29393/CHJAAS37-4CCIL40004
中图分类号
S3 [农学(农艺学)];
学科分类号
0901 ;
摘要
The quantification of nutrient concentration in soils is important for the implementation of adequate fertilization strategies, and also to improve agricultural productivity. In recent decades, new instrumental methods have been developed, including the use of near infrared spectroscopy (NIRS). Although its potential has been recognized by soil scientists for a few decades, the use of NIRS for routine soil analysis has been, to the best of our knowledge, poorly developed in Chile. Calibration models were developed by partial least squares regression (PLSR). The objective of this study was to assess the use of NIRS for the determination of concentrations of Calcium, Magnesium, Phosphorus, Potassium, pH (water), organic matter, Sodium, exchangeable aluminum, ammonium and nitrate in volcanic soils of southern Chile. The coefficient of determination in the calibration obtained ranged from 0.79 to 0.95 and 0.79 to 0.89 in Andisols and Ultisols, respectively. The residual prediction deviation (RPD) values varied between 2.1 and 4.4 in Andisols, and between 2.2 and 3.1 in Ultisols. It was not possible to generate robust calibration models for Al Exch, Na and NH4+ in Andisols and Al Exch, Mg, NO3- and Na in Ultisols. Although some of the models developed presented high R-2, this methodology requires further validation, including a greater number of samples from a wider spatial distribution, covering a variety of climatic and agricultural conditions.
引用
收藏
页码:32 / 42
页数:11
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