Articles producció científica> Enginyeria Química

Water stress assessment on grapevines by using classification and regression trees

  • Identification data

    Identifier: imarina:9244717
  • Authors:

    Sanchez-Ortiz, Antoni
    Mateo-Sanz, Josep M.
    Nadal, Montserrat
    Lampreave, Miriam
  • Others:

    Author, as appears in the article.: Sanchez-Ortiz, Antoni; Mateo-Sanz, Josep M.; Nadal, Montserrat; Lampreave, Miriam;
    Department: Enginyeria Química
    URV's Author/s: Lampreave Figueras, Míriam / Mateo Sanz, Josep Maria / NADAL ROQUET-JALMAR, MONTSERRAT / Sánchez Ortiz, Antoni
    Keywords: Wine Water stress Transport Leaf hydraulics Isohydric Expression Classification and regression trees Carignan Berry development Aquaporins Anthocyanins Anisohydric Accumulation Abscisic-acid Aba
    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.
    Thematic Areas: Plant sciences Plant science Ecology, evolution, behavior and systematics Ecology Biochemistry, genetics and molecular biology (miscellaneous)
    licence for use: https://creativecommons.org/licenses/by/3.0/es/
    Author's mail: josepmaria.mateo@urv.cat miriam.lampreave@urv.cat
    Author identifier: 0000-0002-6352-9863
    Record's date: 2023-02-19
    Papper version: info:eu-repo/semantics/publishedVersion
    Link to the original source: https://onlinelibrary.wiley.com/doi/10.1002/pld3.319
    Licence document URL: http://repositori.urv.cat/ca/proteccio-de-dades/
    Papper original source: Plant Direct. 5 (4): e00319-
    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
    Article's DOI: 10.1002/pld3.319
    Entity: Universitat Rovira i Virgili
    Journal publication year: 2021
    Publication Type: Journal Publications
  • Keywords:

    Biochemistry, Genetics and Molecular Biology (Miscellaneous),Ecology,Ecology, Evolution, Behavior and Systematics,Plant Science,Plant Sciences
    Wine
    Water stress
    Transport
    Leaf hydraulics
    Isohydric
    Expression
    Classification and regression trees
    Carignan
    Berry development
    Aquaporins
    Anthocyanins
    Anisohydric
    Accumulation
    Abscisic-acid
    Aba
    Plant sciences
    Plant science
    Ecology, evolution, behavior and systematics
    Ecology
    Biochemistry, genetics and molecular biology (miscellaneous)
  • Documents:

  • Cerca a google

    Search to google scholar