ArticleMolecular biotechnology2015
Ampelometric Leaf Trait and SSR Loci Selection for a Multivariate Statistical Approach in Vitis vinifera L. Biodiversity Management.
Article in Molecular biotechnology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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Who cites it
4 citing papers in PubMed.
- A Review of Ampelometry: Morphometric Characterization of the Grape (Plants (Basel, Switzerland) · 2023Review
- Species relationships within the genus Vitis based on molecular and morphological data.PloS one · 2023Article
- Recovery, Molecular Characterization, and Ampelographic Assessment of Marginal Grapevine Germplasm from Southern Umbria (Central Italy).Plants (Basel, Switzerland) · 2021Article
- The Tubulin-Based-Polymorphism Method Provides a Simple and Effective Alternative to the Genomic Profiling of Grape.PloS one · 2016Article
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Authors and funding
6 authors.
Funding
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Abstract
High estimated heritability values were recently revealed for mature leaf traits in grape (Vitis vinifera L.), thus redeeming ampelography in the era of molecular markers. The "Organisation Internationale de la Vigne et du Vin (OIV)" set a list of hundreds of descriptors for grapevine in order to standardize ampelographic and ampelometric scores. Therefore, the selection and reduction of the number of OIV codes can represent a major goal for leaner biodiversity assessment studies. The identification of ampelometric traits associated with grape diversity allows to construct Classification Trees with chi squared automatic interaction detection (CHAID) algorithm, a stepwise model-fitting method that produces a tree diagram in which at each step the sample pool is splitted based on the independent variables statistically different for the dependent variable. A collection of 100 table and wine grapevines (Vitis vinifera L.) was characterized and evaluated by means of six microsatellites and twenty-two ampelometric traits on mature leaves. Nine ampelometric traits were selected by principal component analysis and employed to build the classification trees based on CHAID algorithm. The strategy can represent an effective tool for grape biodiversity management, right allocations, and identification of new grape genotypes, implemented by a further microsatellite investigation only when unsolved cases occur, allowing faster and cheaper results.
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