The natural abundance of 13C with different agricultural management by NIRS with fibre optic probe technology.
In the present study the natural abundance of (13)C is quantified in agricultural soils in Mexico which have been submitted to different agronomic practices, zero and conventional tillage, retention of crop residues (with and without) and rotation of crops (wheat and maize) for 17 years, which have influenced the physical, chemical and biological characteristics of the soil. The natural abundance of C13 is quantified by near infrared spectra (NIRS) with a remote reflectance fibre optic probe, applying the probe directly to the soil samples. Discriminate partial least squares analysis of the near infrared spectra allowed to classify soils with and without residues, regardless of the type of tillage or rotation systems used with a prediction rate of 90% in the internal validation and 94% in the external validation. The NIRS calibration model using a modified partial least squares regression allowed to determine the delta(13)C in soils with or without residues, with multiple correlation coefficients 0.81 and standard error prediction 0.5 per thousand in soils with residues and 0.92 and 0.2 per thousand in soils without residues. The ratio performance deviation for the quantification of delta(13)C in soil was 2.5 in soil with residues and 3.8 without residues. This indicated that the model was adequate to determine the delta(13)C of unknown soils in the -16.2 per thousand to -20.4 per thousand range. The development of the NIR calibration permits analytic determinations of the values of delta(13)C in unknown agricultural soils in less time, employing a non-destructive method, by the application of the fibre optic probe of remote reflectance to the soil sample.
Fuentes
Mariela
M
Colegio de Postgraduados, Laboratorio de Fertilidad, IRENAT Km 36.5 Carretera México-Texcoco, Montecillo, México, CP 56230, Mexico.
González-Martín
Inmaculada
I
Hernández-Hierro
Jose Miguel
JM
Hidalgo
Claudia
C
Govaerts
Bram
B
Etchevers
Jorge
J
Sayre
Ken D
KD
Dendooven
Luc
L
D000383:Agriculture / Q000379:methods*; D002247:Carbon Isotopes / Q000032:analysis*; D018556:Crops, Agricultural / Q000378:metabolism; D005336:Fiber Optic Technology; D008800:Mexico; D012987:Soil / Q000032:analysis*; D017550:Spectroscopy, Fourier Transform Infrared / Q000379:methods
D002247:Carbon Isotopes; D012987:Soil