BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//pretalx//talks.staging.osgeo.org//foss4g-it-2023//talk//UBQPWP
BEGIN:VTIMEZONE
TZID:GMT
BEGIN:STANDARD
DTSTART:20001029T030000
RRULE:FREQ=YEARLY;BYDAY=-1SU;BYMONTH=10
TZNAME:GMT
TZOFFSETFROM:+0100
TZOFFSETTO:+0000
END:STANDARD
BEGIN:DAYLIGHT
DTSTART:20000326T020000
RRULE:FREQ=YEARLY;BYDAY=-1SU;BYMONTH=3
TZNAME:BST
TZOFFSETFROM:+0000
TZOFFSETTO:+0100
END:DAYLIGHT
END:VTIMEZONE
BEGIN:VEVENT
UID:pretalx-foss4g-it-2023-UBQPWP@talks.staging.osgeo.org
DTSTART;TZID=GMT:20230613T173000
DTEND;TZID=GMT:20230613T174500
DESCRIPTION:Foliar NIR Spectroscopy and EOS platform for monitoring polyphe
 nolic maturity in Nebbiolo\n\nA. Cugnetto1\, M. Altare2\, G. Masoero 1\,3\
 , S. Guidoni 3\,1.\n\n1 Accademia di Agricoltura di Torino (TO)\n2 Az. Vit
 ivinicola Costa di Bussia\, Monforte (CN)\n3 Dipartimento Scienze Agrarie\
 , Forestali e Alimentari\, Università di Torino (TO)\n\nA Nebbiolo vineya
 rd was divided into three vigor zones (High\, Medium\, Low) according to t
 he  NDVI index survey supplied by EOS Crop Monitoring web platform. In fou
 r sessions\, leaf samples were collected on which petiolar pH [1] and the 
 NIR spectrum were determined using the SCiOTM v 1.2 apparatus (740-1070 nm
 \, 331 reflectance points). From samples of 10 berries the seeds were clea
 ned and scanned by NIRS obtaining 99 spectra. The polyphenolic maturity of
  the seeds was expressed based on the Non-Extractable Polyphenols / Extrac
 table Polyphenols (PSM) ratio\, analyzed according to the Di Stefano metho
 d [2]. The value was estimated by a WinISI-II PLS equation recalculated on
  published data [3] which has a predictive value of R2 = 0.70 and RMSE err
 or = 8%. From the NIR spectra of 164 leaves a SPAD value was estimated (by
  unpublished equation) and the PSM of the seeds was regressed on the 16 co
 mposition parameters [4]. The most important variables that explain the mo
 del\, were those related to the bromatological composition of the vegetal 
 wall (Cellulose\, ADL\, digestible-NDF\, non-digestible-NDF\, Total digest
 ibility). The fitting of the 10 vines vigor group gave an R2 = 0.88 (Mean 
 RMSE 12%). The petiolar pH did not show significant relations with the see
 ds PSM.  The direct calibration of the NIR spectrum on the  seeds PSM made
  with the WinISI\, revealed an R2 = 0.84 (MRMSE 5%\, with an outlier group
 )\, while using the PLSR of LabSCiO we obtained R2=0.73 (MRMSE 6% with an 
 outlier group).\nThis part of the work demonstrates that a proximal scruti
 ny of the NIR spectrum of Nebbiolo leaves allow an estimation of the matur
 ity of the seed polyphenols provided that the result is consolidated with 
 the mean of at least 15 replicate measurements.\nOnce the individual calcu
 lations were examined\, the group averages were processed by performing a 
 linear regression of the PSM on the averages of the available variables ex
 tracted from the NIR spectra\,  and on the NDVI measurements taken from th
 e Sentinel-2 satellite. The examined variables had different importance an
 d the SPAD (R2=0.49) had the maximum one. The NDVI from satellite had fitt
 ed to the seeds PSM with R2 = 0.34\; it was under the forecast accuracy pr
 ovided by the leaves spectra set\, but is worthy of attention for the simp
 licity of use. The obtained  linear equation was PSM = 5.71 + 2.42 * NDVI.
 \n\nThe work demonstrates that with the modern Satellite remote sensing te
 chnologies\, it is possible to improve the grape sampling during the matur
 ation period\, better identifying the internal plot variability\, that is 
 related to different seed ripening levels.  The leaf NIR spectra detected 
 at ground level with SCIOTM v 1.2\, is a rapid proximal method for estimat
 ing the Nebbiolo seed ripening\, directly in the farm\n\n\n\n1 Masoero G\,
  Cugnetto A. 2018 The raw pH in plants: a multifaceted parameter. Journal 
 of Agronomy Research\, 1: (2)\, 18-34. ISSN: 2639-3166. DOI10.14302/issn.2
 639-3166.jar-18-2397. https://openaccesspub.org/jar/article/871\n2 Di Stef
 ano R\, Cravero MC. 1991 Metodi per lo studio dei polifenoli nell'uva. Riv
 . Vitic. Enol\, 2\, 37-45.\n3 Cugnetto A\, Masoero G. (2021) Colored anti-
 hail nets modify the ripening parameters of Nebbiolo (Vitis vinifera L.) a
 nd a smart NIRS can predict the polyphenol features. JAR 4 (1)\, 24-45. ht
 tps://openaccesspub.org/jar/article/1701\n4 Peiretti P G\, Masoero G and T
 assone S 2017: Comparison of the nutritive value and fatty acid profile of
  the green pruning residues of six grapevine (Vitis vinifera L.) cultivars
 . Livestock Research for Rural Development. Volume 29\, Article #194.Retri
 eved October 3\, 2017\, http://www.lrrd.org/lrrd29/10/pier29194.html
DTSTAMP:20260516T155707Z
LOCATION:Sala Biblioteca @ PoliBa
SUMMARY:Monitoring the seeds phenolic maturity in Nebbiolo vineyard by mean
 s of NDVI index vs foliar NIR spectroscopy - Alberto Cugnetto\, Matteo Alt
 are\, Giorgio Masoero\, Silvia Guidoni
URL:https://talks.staging.osgeo.org/foss4g-it-2023/talk/UBQPWP/
END:VEVENT
END:VCALENDAR
