@article{fdi:010082739,
  title = {{E}vidence of differential spreading events of grapevine pinot {G}ris virus in {I}taly using datamining as a tool},
  author = {{H}ily, {J}. {M}. and {K}omar, {V}. and {P}oulicard, {N}ils and {V}elt, {A}. and {R}enault, {L}. and {M}ustin, {P}. and {V}igne, {E}. and {S}pilmont, {A}. {S}. and {L}emaire, {O}.},
  editor = {},
  language = {{ENG}},
  abstract = {{S}ince its identification in 2003, grapevine {P}inot gris virus ({GPGV}, {T}richovirus) has now been detected in most grape-growing countries. {S}o far, little is known about the epidemiology of this newly emerging virus. {I}n this work, we used datamining as a tool to monitor in-silico the sanitary status of three vineyards in {I}taly. {A}ll data used in the study were recovered from a work that was already published and for which data were publicly available as {SRA} ({S}equence {R}ead {A}rchive, {NCBI}) files. {W}hile incomplete, knowledge gathered from this work was still important, with evidence of differential accumulation of the virus in grapevine according to year, location, and variety-rootstock association. {A}dditional data regarding {GPGV} genetic diversity were collected. {S}ome advantages and pitfalls of datamining are discussed.},
  keywords = {{G}rapevine ; {GPGV} ; {D}etection ; {D}atamining ; {ITALIE}},
  booktitle = {},
  journal = {{E}uropean {J}ournal of {P}lant {P}athology},
  volume = {161},
  numero = {3},
  pages = {735--742},
  ISSN = {0929-1873},
  year = {2021},
  DOI = {10.1007/s10658-021-02343-3},
  URL = {https://www.documentation.ird.fr/hor/fdi:010082739},
}