Improving wine quality through harvest zoning and combined use of remote and soil proximal sensing

Soil Science Society of America Journal

Volumn 77, Issue 4, 2013, Pages 1338-1348

  Priori, S ^a   Martini, E ^b   Andrenelli, M C ^a   Magini, S ^a   Agnelli, A E ^a   Bucelli, P ^a   Biagi, M ^c   Pellegrini, S ^a   Costantini, E A C ^a  

^a ISTITUTO NAZIONALE DELLA NUTRIZIONE   (Italy)

^b HELMHOLTZ CENTRE FOR ENVIRONMENTAL RESEARCH UFZ   (Germany)

^c Barone Ricasoli SpA Agricola   (Italy)

Author keywords

[No Author keywords available]

Indexed keywords

ALTERNATIVE APPROACH; APPARENT ELECTRICAL CONDUCTIVITY; AVAILABLE WATER CAPACITIES; DIGITAL ELEVATION MODEL; NORMALIZED DIFFERENCE VEGETATION INDEX; SIGNIFICANT DIFFERENCES; SPATIAL VARIABILITY OF SOIL PROPERTIES; TOPOGRAPHIC WETNESS INDEX;

ANTHOCYANINS; PRINCIPAL COMPONENT ANALYSIS;

WINE;

DIGITAL ELEVATION MODEL; ELECTRICAL CONDUCTIVITY; GRAVEL; HARVESTING; IMAGE ANALYSIS; MAP; NDVI; PIGMENT; PRECISION AGRICULTURE; REMOTE SENSING; SILT; SOIL PROPERTY; SPATIAL VARIATION; VINEYARD; VITICULTURE;

ITALY;

EID: 84880735835     PISSN: 03615995     EISSN: 14350661     Source Type: Journal    
DOI: 10.2136/sssaj2012.0376     Document Type: Article

References (50)

1. Acevedo-Opazo, C., B. Tisseyre, S. Guillaume, and H. Ojeda. 2008. The potential of high spatial resolution information to define within-vineyard zones related to vine water status. Precis. Agric. 9:285-302. doi:10.1007/s11119-008- 9073-1
2. André, F., C. van Leeuwen, S. Saussez, R. Van Durmen, P. Bogaert, D. Moghadas, et al. 2012. High-resolution imaging of a vineyard in south of France using ground penetrating radar, electromagnetic induction and electrical resistivity tomography. J. Appl. Geophys. 78:113-122. doi:10.1016/j.jappgeo. 2011.08.002
3. Andrenelli, M.C., S. Magini, L. Natarelli, N. Vignozzi, A. Agnelli, P. Bucelli, et al. 2011. Applicazione di tecniche innovative in viticoltura di precisione. Environmental Quality, GeoLab, Bologna, Italy.
4. Barbeau, G., Y. Cadot, L. Stevez, M.H. Bouvet, M. Cosneau, C. Asselin, and A. Mege. 2001. Role of soil physical properties, climate and period on must composition, wine type and flavour (Vitis vinifera L., cv. Chenin). In: Proceedings of 26th OIV World Vine and Wine Congress, Adelaide, Australia. 11-17 Oct. 2001. Organis. Int. Vigne et Vin, Paris. http://www.techniloire.org/ documents/124963587/article71.pdf
5. Beven, K.J., and M.J. Kirkby. 1979. A physically based, variable contributing area model of basin hydrology. Hydrol. Sci. J. 24:43-69. doi:10.1080/02626667909491834
6. Böhner, J., R. Koethe, O. Conrad, J. Gross, A. Ringeler, and T. Selige. 2002. Soil regionalisation by means of terrain analysis and process parameterisation. In: E. Micheli et al., editors, Soil classification 2001. EUR 20398 EN. Res. Rep. 7. Eur. Soil Bur., Luxembourg. p. 213-222.
7. Böhner, J., and T. Selige. 2006. Spatial prediction of soil attributes using terrain analysis and climate regionalization. In: J. Böhner et al., editors, SAGA: Analysis and modelling applications. Göttinger Geograph. Abh. 115. Univ. Göttingen, Göttingen, Germany. p. 13-27.
8. Bonfante, A., A. Basile, G. Langella, P. Manna, and F. Terribile. 2011. A physically oriented approach to analysis and mapping of terroirs. Geoderma 167-168:103-117. doi:10.1016/j.geoderma.2011.08.004
9. Bramley, R.G.V. 2004. Understanding variability in winegrape production systems: Within vineyard variation in quality over several vintages. Aust. J. Grape Wine Res. 10:32-45. doi:10.1111/j.1755-0238.2004.tb00006.x
10. Bramley, R.G.V., M. Le Moigne, S. Evain, J. Ouzman, L. Florin, E.M. Fadaili, et al. 2011. On-the-go sensing of grape berry anthocyanins during commercial harvest: Development and prospects. Aust. J. Grape Wine Res. 17:316-326. doi:10.1111/j.1755-0238.2011.00158.x
11. Bucelli, P., E.A.C. Costantini, and P. Storchi. 2010. It is possible to predict Sangiovese wine quality through a limited number of variables measured on the vines. J. Int. Sci. Vigne Vin 44(4):207-218.
12. Callegary, J.B., T.P.A. Ferré, and R.W. Groom. 2007. Vertical spatial sensitivity and exploration depth of low-induction-number electromagnetic-induction instruments. Vadose Zone J. 6:158-167. doi:10.2136/vzj2006.0120
13. Chavez, P.S., Jr. 1996. Image-based atmospheric corrections: Revisited and improved. Photogramm. Eng. Remote Sensing 62:1025-1036.
14. Costantini, E.A.C., R. Barbetti, P. Bucelli, G. L'Abate, S. Pellegrini, and P. Storchi. 2008. Scale dependence of soil and climate functional characteristics for qualitative Sangiovese vine production. In: Proceedings of the 31st OIV Congress, Verona, Italy. 5-20 June 2008. [CD-ROM.] Organis. Int. Vigne et Vin, Paris.
15. 13C and geophysical sensors in soils with moderate salinity. Eur. J. Agron. 33:208-217. doi:10.1016/j.eja.2010.05.007
16. Costantini, E.A.C., S. Pellegrini, P. Bucelli, P. Storchi, N. Vignozzi, R. Barbetti, and S. Campagnolo. 2009. Relevance of the Lin's and Host hydropedological models to predict grape yield and wine quality. Hydrol. Earth Syst. Sci. 13:1635-1648. doi:10.5194/hess-13-1635-2009
17. Costantini, E.A.C., S. Pellegrini, N. Vignozzi, and R. Barbetti. 2006. Micromorphological characterization and monitoring of internal drainage in soils of vineyards and olive groves in central Italy. Geoderma 131:388-403. doi:10.1016/j.geoderma.2005.03.029
18. Cousin, I., A. Besson, H. Bourennane, C. Pasquier, B. Nicoullaud, D. King, and G. Richard. 2009. From spatial-continuous electrical resistivity measurements to the soil hydraulic functioning at the field scale. C. R. Geosci. 341:859-867. doi:10.1016/j.crte.2009.07.011
19. Deloire, A., P. Silva, and S. Martin-Pierrat. 2003. Terroirs et état hydrique du Grenache Noir: Premiers résultats. Prog. Agric. Vitic. 120(17):78-86.
20. Doolittle, J.A., S.J. Indorante, D.K. Potter, S.G. Hefner, and W.M. McCauley. 2002. Comparing three geophysical tools for locating sand blows in alluvial soils of southeast Missouri. J. Soil Water Conserv. 57:175-182.
21. Drissi, R., J.P. Goutouly, D. Forget, and J.P. Gaudillere. 2009. Nondestructive measurement of grapevine leaf area by ground normalized difference vegetation index. Agron. J. 101:226-231. doi:10.2134/agronj2007.0167
22. Gardner, W.H. 1986. Water content. In: A. Klute, editor, Methods of soil analysis. Part 1. 2nd ed. Agron. Monogr. 9. ASA and SSSA, Madison, WI. p. 493-544.
23. Gómez-Míguez, M.J., M. Gómez-Míguez, I.M. Vicario, and F.J. Heredia. 2007. Assessment of colour and aroma in white wines vinifications: Effects of grape maturity and soil type. J. Food Eng. 79:758-764. doi:10.1016/j.jfoodeng.2006.02.038
24. Hedley, C.B., I.J. Yule, C.R. Eastwood, T.G. Shepherd, and G. Arnold. 2004. Rapid identification of soil textural and management zones using electromagnetic induction sensing of soils. Aust. J. Soil Res. 42:389-400. doi:10.1071/SR03149
25. IUSS Working Group WRB. 2006. World reference base for soil resources 2006. World Soil Resour. Rep. 103. FAO, Rome.
26. Johnson, L.F., D.F. Bosh, D.C. Williams, and B.M. Lobitz. 2001. Remote sensing of vineyard management zones: Implications for wine quality. Appl. Eng. Agric. 17:557-560.
27. Johnson, L.F., D.E. Roczen, S.K. Youkhana, R.R. Nemani, and D.F. Bosch. 2003. Mapping vineyard leaf area with multispectral satellite imagery. Comput. Electron. Agric. 38:33-44. doi:10.1016/S0168-1699(02)00106-0
28. Jolliffe, I.T. 1986. Principal component analysis. Springer-Verlag, New York.
29. Klute, A. 1986. Water retention: Laboratory methods. In: A. Klute, editor, Methods of soil analysis. Part 1. 2nd ed. Agron. Monogr. 9. ASA and SSSA, Madison, WI. p. 635-662.
30. Koundouras, S., V. Marinos, A. Gkoulioti, Y. Kotseridis, and C. van Leeuwen. 2006. Influence of vineyard location and vine water status on fruit maturation of nonirrigated cv. Agiorgitiko (Vitis vinifera L.): Effects on wine phenolic and aroma components. J. Agric. Food Chem. 54:5077-5086. doi:10.1021/jf0605446
31. Krieger, F., W. Malila, R. Nalepka, and W. Richerdson. 1969. Preprocessing transformations and their effects on multispectral recognition. In: Proceedings of the 6th International Symposium on Remote Sensing of the Environment, Ann Arbor, MI. 13-16 Oct. 1969. Inst. Sci. Technol., Univ. of Michigan, Ann Arbor. p. 97-131.
32. Mackenzie, D.E., and A.G. Christ. 2005. The role of soil chemistry in wine grape quality and sustainable soil management in vineyards. Water Sci. Technol. 51:27-37.
33. McNeill, J.D. 1980. Electromagnetic terrain conductivity measurement at low induction numbers. Geonics Ltd., Mississauga, ON, Canada.
34. McNeill, J.D. 1990. Geonics EM38 ground conductivity meter: EM38 operating manual. Geonics Ltd., Mississauga, ON, Canada.
35. Morari, F., A. Castrignanò, and C. Pagliarin. 2009. Application of multivariate geostatistics in delineating management zones within a gravelly vineyard using geo-electrical sensors. Comput. Electron. Agric. 68:97-107. doi:10.1016/j.compag.2009.05.003
36. Organisation International de la Vigne et du Vin. 2000. Recueil des méthodes internationales d'analyse des vins et des moÛts. OIV, Paris.
37. Papale, D., C. Belli, B. Gioli, F. Miglietta, C. Ronchi, F.P. Vaccari, and R. Valentini. 2008. ASPIS: A flexible multispectral system for airborne remote sensing environmental applications. Sensors 8:3240-3256. doi:10.3390/s8053240
38. Pedroso, M., J. Taylor, B. Tisseyre, B. Charnomordic, and S. Guillaume. 2010. A segmentation algorithm for the delineation of agricultural management zones. Comput. Electron. Agric. 70:199-208. doi:10.1016/j.compag.2009.10.007
39. Priori, S., E. Martini, and E.A.C. Costantini. 2010. Three proximal sensors for mapping skeletal soils in vineyards. In: R.J. Gilkes and N. Prakongkep (ed.) Soil Solutions for a Changing World: 19th World Congress of Soil Science, Brisbane, QLD, Australia. 1-6 Aug. 2010. [CD-ROM.] IUSS.
40. Rosseau, J., S. Dupin, C. Acevedo-Opazo, B. Tisseyre, and H. Ojeda. 2008. L'imagerie aérienne: Application à la caractérisation des potentiels viticole set oenologiques. Bull. O.I.V. 81:507-517.
41. Saey, T., D. Simpson, H. Vermeersch, L. Cockx, and M. Van Meirvenne. 2009. Comparing the EM38-DD and Dualem-21S sensors to depth-to-clay mapping. Soil Sci. Soc. Am. J. 73:7-12. doi:10.2136/sssaj2008.0079
42. Soil Survey Division Staff. 1993. Soil survey manual. Agric. Handbk. 18. U.S. Gov. Print. Office, Washington, DC.
43. Soil Survey Laboratory Staff. 1996. Soil survey laboratory manual. Soil Surv. Invest. Rep. 42. U.S. Gov. Print. Office, Washington, DC.
44. Soil Survey Staff. 2006. Keys to Soil Taxonomy. 10th. ed. NRCS, Washington, DC.
45. Sørensen, R., U. Zinko, and J. Seibert. 2005. On the calculation of the topographic wetness index: Evaluation of the different methods based on field observations. Hydrol. Earth Syst. Sci. Discuss. 2:1807-1834. doi:10.5194/hessd-2-1807-2005
46. Sudduth, K.A., N.R. Kitchen, W.J. Wiebold, W.D. Batchelor, G.A. Bollero, D.G. Bullock, et al. 2005. Relating apparent electrical conductivity to soil properties across the north-central USA. Comput. Electron. Agric. 46:263-283. doi:10.1016/j.compag.2004.11.010
47. Taylor, J.A., G. Coulouma, P. Lagacherie, and B. Tisseyre. 2009. Mapping soil units within a vineyard using statistics associated with high-resolution apparent soil electrical conductivity data and factorial discriminant analysis. Geoderma 153:278-284. doi:10.1016/j.geoderma.2009.08.014
48. Tetegan, N., B. Nicoullaud, D. Baize, A. Bouthier, and I. Cousin. 2011. The contribution of rock fragments to the available water content of stony soils: Proposition of new pedotransfer functions. Geoderma 165:40-49. doi:10.1016/j.geoderma.2011.07.001
49. Triantafilis, J., G.M. Laslett, and A.B. McBratney. 2000. Calibrating an electromagnetic induction instrument to measure salinity in soil under irrigated cotton. Soil Sci. Soc. Am. J. 64:1009-1017. doi:10.2136/sssaj2000.6431009x
50. Zhu, Q., H. Lin, and J. Doolittle. 2010. Repeated electromagnetic induction surveys for determining subsurface hydrologic dynamics in an agricultural landscape. Soil Sci. Soc. Am. J. 74:1750-1762. doi:10.2136/ sssaj2010.0055