%0 Journal Article
%9 ACL : Articles dans des revues avec comité de lecture répertoriées par l'AERES
%A Barthès, Bernard
%A Brunet, Didier
%A Ferrer, Henri
%A Chotte, Jean-Luc
%A Feller, Christian
%T Determination of total carbon and nitrogen content in a range of tropical soils using near infrared spectroscopy : influence of replication and sample grinding and drying
%D 2006
%L fdi:010063278
%G ENG
%J Journal of near Infrared Spectroscopy
%@ 0967-0335
%K soil ; carbon ; nitrogen ; near infrared NIR reflectance spectroscopy ; sample preparation ; replication
%M CC:0002429383-0008
%N 5
%P 341-348
%R 10.1255/jnirs.686
%U https://www.documentation.ird.fr/hor/fdi:010063278
%> https://www.documentation.ird.fr/intranet/publi/depot/2014-12-22/010063278.pdf
%V 14
%W Horizon (IRD)
%X Near infrared (NIR) reflectance spectroscopy has been receiving increased attention for the rapid and inexpensive determination of soil properties and of total carbon (Ct) and nitrogen content (Nt) in particular. However, methodological aspects such as sample grinding and drying or replication have not been addressed extensively. The objectives of the paper were, thus, to assess how NIR predictions of Ct and Nt were affected by sample grinding (2 mm sieving vs. 0.2 mm grinding), drying (air-drying vs oven-drying at 40 degrees C during 24 h) and replication (use of one to six sub-samples to determine average spectra). This was performed on a range of tropical soils that differed widely in mineralogy (low and high activity clay soils, allophanic soils) and texture (sandy to clayey). The accuracy of the NIR predictions of Ct and Nt was higher with oven-dried compared to air-dried samples and, more markedly, with 0.2 mm ground compared to 2 mm sieved samples. Replication had a positive effect on NIR predictions when 2 mm sieved samples were used, especially for air-dried samples, but this effect was not clear with 0.2 mm ground samples. Thus, the most accurate predictions of Ct and Nt were obtained with oven-dried finely ground samples, with limited response to sample replication. Accurate predictions were, however, also obtained with four replicates on oven-dried 2 mm sieved samples. Acceptable and less tedious results could, thus, be achieved when replacing fine grinding by replication. Even with this procedure, the r(2) between predicted (NIR) and measured (reference) values was 0.9 and the ratio of standard error of prediction to mean (CV%) was 20% which can be considered satisfactory for the heterogeneous sample set under study.
%$ 068