NDLI: A model for the spatial prediction of water status in vines (Vitis vinifera L.) using high resolution ancillary information

Content Provider	Springer Nature Link
Author	Acevedo Opazo, C. Tisseyre, B. Taylor, J. A. Ojeda, H. Guillaume, S.
Copyright Year	2010
Abstract	This paper establishes and tests a model to extrapolate vine water status spatially across a vineyard block. The proposed spatial model extrapolates predawn leaf water potential (PLWP), measured at a reference location, to other unsampled locations using a linear combination of spatial ancillary information sources (AIS) and the reference measurement. In the model, the reference value accounts for temporal variability and the AIS accounts for spatial variation of vine water status, which enables extrapolation over the whole domain (vine fields in this case) at any time when a reference measurement is made. The spatial model was validated for two fields planted with Syrah and Mourvèdre during the seasons 2003–2004 and 2005–2006, respectively, in the south of France. The proposed spatial model significantly improved the prediction of vine water status, especially under conditions of high water restriction (PLWP < −0.4 MPa), compared with a non-spatial model. The model was robust to the choice of reference site. The results also highlighted that AIS pertaining to canopy growth are the most relevant variables for predicting PLWP under these experimental conditions. Preliminary results showed the potential to calibrate the model from a limited number of field measurements, making it a realistic option for adoption in commercial vineyards. The success of the spatial model in improving the quality of prediction of PLWP means it could be incorporated into a decision-support tool to improve irrigation management within a vineyard.
Starting Page	358
Ending Page	378
Page Count	21
File Format	PDF
ISSN	13852256
Journal	Precision Agriculture
Volume Number	11
Issue Number	4
e-ISSN	15731618
Language	English
Publisher	Springer US
Publisher Date	2010-03-25
Publisher Place	Boston
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Vine water status Spatial prediction model Spatial ancillary information sources Vineyard spatial variability Meteorology/Climatology Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences Remote Sensing/Photogrammetry Soil Science & Conservation Agriculture
Content Type	Text
Resource Type	Article
Subject	Agricultural and Biological Sciences

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

The potential of high spatial resolution information to define within-vineyard zones related to vine water status

Are precision agriculture tools and methods relevant at the whole-vineyard scale?

Spatial variability of grape composition in a Tempranillo (Vitis vinifera L.) vineyard over a 3-year survey

Delineation of vine parcels by segmentation of high resolution remote sensed images

A comment on inter-field spatial extrapolation of vine (Vitis vinifera L.) water status

Spatial variability in grape yield and quality influenced by soil and crop nutrition characteristics

Spatial and Temporal Variability of Sorghum Grain Yield: Influence of Soil, Water, Pests, and Diseases Relationships

Separating spatial and temporal sources of variation for model testing in precision agriculture

Spatial variability in Ontario Cabernet Franc vineyards: I. Interrelationships among soil composition, soil texture, soil and vine water status

A model for the spatial prediction of water status in vines (Vitis vinifera L.) using high resolution ancillary information

Similar Documents

The potential of high spatial resolution information to define within-vineyard zones related to vine water status

Are precision agriculture tools and methods relevant at the whole-vineyard scale?

Spatial variability of grape composition in a Tempranillo (Vitis vinifera L.) vineyard over a 3-year survey

Delineation of vine parcels by segmentation of high resolution remote sensed images

A comment on inter-field spatial extrapolation of vine (Vitis vinifera L.) water status

Spatial variability in grape yield and quality influenced by soil and crop nutrition characteristics

Spatial and Temporal Variability of Sorghum Grain Yield: Influence of Soil, Water, Pests, and Diseases Relationships

Separating spatial and temporal sources of variation for model testing in precision agriculture

Spatial variability in Ontario Cabernet Franc vineyards: I. Interrelationships among soil composition, soil texture, soil and vine water status

A model for the spatial prediction of water status in vines (Vitis vinifera L.) using high resolution ancillary information