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TITLE:
Water stress assessment on grapevines by using classification and regression trees - imarina:9244717

URV's Author/s:ESTEBAN NADAL, MONTSERRAT / Lampreave Figueras, Míriam / Mateo Sanz, Josep Maria / NADAL ROQUET-JALMAR, MONTSERRAT / Sánchez Ortiz, Antoni
Author, as appears in the article.:Sanchez-Ortiz, Antoni; Mateo-Sanz, Josep M; Nadal, Montserrat; Lampreave, Miriam
Author's mail:miriam.lampreave@urv.cat
josepmaria.mateo@urv.cat
josepmaria.mateo@urv.cat
Author identifier:0000-0002-6352-9863
0000-0002-6352-9863
Journal publication year:2021
Publication Type:Journal Publications
APA:Sanchez-Ortiz, Antoni; Mateo-Sanz, Josep M; Nadal, Montserrat; Lampreave, Miriam (2021). Water stress assessment on grapevines by using classification and regression trees. Plant Direct, 5(4), e00319-. DOI: 10.1002/pld3.319
Paper original source:Plant Direct. 5 (4): e00319-
Abstract:Multiple factors, such as the vineyard environment and winemaking practices, are known to affect the development of vines as well as the final composition of grapes. Water stress promotes the synthesis of phenols and is associated with grape quality as long as it does not inhibit production. To identify the key parameters for managing water stress and grape quality, multivariate statistical analysis is essential. Classification and regression trees are methods for constructing prediction models from data, especially when data are complex and when constructing a single global model is difficult and models are challenging to interpret. The models were obtained by recursively partitioning the data space and fitting a simple prediction model within each partition. The partitioning can be represented graphically as a decision tree. This approach permitted the most decisive variables for predicting the most vulnerable vineyards and wine quality parameters associated with water stress. In Priorat AOC, Carignan grapevines had the highest water potential and abscisic acid concentration in the early growth plant stages and permitted vineyards to be classified by mesoclimate. This information is useful for identifying which measurements could most easily differentiate between early and late-ripening vineyards. LWP and T-s during an early physiological stage (pea size) permitted warm and cold areas to be differentiated.
Article's DOI:10.1002/pld3.319
Link to the original source:https://onlinelibrary.wiley.com/doi/10.1002/pld3.319
Paper version:info:eu-repo/semantics/publishedVersion
licence for use:https://creativecommons.org/licenses/by/3.0/es/
Department:Enginyeria Química
Licence document URL:https://repositori.urv.cat/ca/proteccio-de-dades/
Thematic Areas:Plant sciences
Plant science
Ecology, evolution, behavior and systematics
Ecology
Biochemistry, genetics and molecular biology (miscellaneous)
Keywords:Wine
Water stress
Transport
Leaf hydraulics
Isohydric
Expression
Classification and regression trees
Carignan
Berry development
Aquaporins
Anthocyanins
Anisohydric
Accumulation
Abscisic-acid
Aba
Entity:Universitat Rovira i Virgili
Record's date:2025-01-28
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