@article{fdi:010053719,
  title = {{N}ear infrared reflectance spectroscopy ({NIRS}) could be used for characterization of soil nematode community},
  author = {{B}arth{\`e}s, {B}ernard and {B}runet, {D}idier and {R}abary, {B}. and {B}a, {O}. and {V}illenave, {C}{\'e}cile},
  editor = {},
  language = {{ENG}},
  abstract = {{S}tudying soil nematofauna provides useful information on soil status and functioning but requires high taxonomic expertise. {N}ear infrared reflectance ({NIR}) spectroscopy ({NIRS}) has been reported to allow fast and inexpensive determination of numerous soil attributes. {T}hus the present study aimed at assessing the potential of {NIRS} for determining the abundance and diversity of soil nematodes in a set of 103 clayey topsoil samples collected in 2005 and 2006 from agricultural soils in the highlands of {M}adagascar. {T}he morphological characterization of soil nematofauna involved extraction through elutriation then counting under binoculars and identification at family or genus level using microscopy, on ca. 150-g fresh soil samples. {T}axa were assigned to five trophic groups, namely bacterial feeders, fungal feeders, obligate plant feeders, facultative plant feeders, and omnivores and predators (together). {I}n addition, four ecological indexes were calculated: the {E}nrichment index, {S}tructure index, {M}aturity index, and {P}lant parasitic index. {O}ven-dried (40 degrees {C}) < 2-mm sieved 5-g soil subsamples were scanned in the {NIR} range (1100-2500 nm), then spectra were fitted to nematofauna data using partial least square regression. {D}epending on the sample set considered (year 2005, year 2006, or both years), {NIRS} prediction of total nematode abundance was accurate (ratio of standard deviation to standard error of cross validation, i.e. {RPD} >= 2) or acceptable ({RPD} >= 1.6). {P}redictions were accurate, acceptable, or quasi-acceptable ({RPD} >= 1.4) for several of the six most abundant taxa, and to a larger extent, for most trophic groups (except facultative plant feeders); but they could not be made for taxa present in a small number of samples or at low abundance. {B}y contrast, {NIRS} prediction of relative abundances (in proportion of total abundance), was poor in general, as was also the prediction of ecological indexes (except for the 2006 set). {O}n the whole, these results were less accurate than {NIRS} predictions of soil attributes often reported in the literature. {H}owever, though not very accurate, {NIRS} predictions were worthwhile considering the labor-intensity of the morphological characterization. {M}ost of all, {NIRS} analyses were carried out on subsamples that were probably too small (5 g) to allow representative sampling of nematofauna. {U}sing larger samples for {NIRS} (e.g. 100 g) would likely result in more accurate predictions, and is therefore recommended. {S}canning un-dried samples could also help improve prediction accuracy, as morphological characterization was carried out on samples not dried after sampling. {E}xamining wavelengths that contributed most to {NIRS} predictions, and chemical groups they have been assigned to, suggested that {NIRS} predictions regarding nematofauna depended on constituents of both nematodes and preys' food. {P}redictions were thus based on both nematofauna and soil organic properties reflected by nematofauna.},
  keywords = {{S}oil nematodes ; {T}rophic groups ; {A}bundance ; {N}ear infrared reflectance spectroscopy ({NIRS})},
  booktitle = {},
  journal = {{S}oil {B}iology and {B}iochemistry},
  volume = {43},
  numero = {8},
  pages = {1649--1659},
  ISSN = {0038-0717},
  year = {2011},
  DOI = {10.1016/j.soilbio.2011.03.023},
  URL = {https://www.documentation.ird.fr/hor/fdi:010053719},
}