italianoenglishfrançaisdeutschespañolportuguês
Language
Search
  • » Vine Physiology
  • » Grapevine resistance to pathogens: a genomic overview

Grapevine resistance to pathogens: a genomic overview

G. MALACARNE, F. MOREIRA, M. PERAZZOLLI, M. S. GRANDO, R. VELASCO; Fondazione Edmund Mach, Istituto agrario di San Michele all’Adige (Iasma), Italy;

Grapevine (Vitis vinifera L.) is the most widely grown fruit crop with an annual production of more than 67 million tons, while its derivatives have a large and expanding world-wide market. However, grapevine cultivars are susceptible to many pathogens, either by direct infection of the berries themselves or through the reduction of plant vigour, both of which reduce fruit quality and yield. Disease control is currently carried out by intensive use of pesticides, with an undesirable environmental impact. To reduce excessive use of phytochemicals in the vineyard, alternative strategies have been explored. Many longstanding breeding programmes have been established in the past aimed at combining V. vinifera fruit quality traits with resistance traits brought in by other Vitis species. This has, however, proved to be a difficult task, due to the quantitative nature of resistance determination, the long generation time, and the high heterozygosity and inbreeding depression of grapevines. The recent discovery of the Pinot Noir genome sequence represents an important new resource in tackling the problem and provides us with the possibility of defining the genomic regions responsible for resistance traits and of identifying the candidate genes underlying the known resistance Quantitative Trait Loci (QTLs).
Published on 19/07/2010
Related sheets
  • E. Aguera, J.M. Sablayrolles
    The seasonal character of harvests limits winemaking considerably, especially oenological research. Thus, conserving sterile musts during the whole year to carry out experiments is certainly a very...
    Published on:10/08/2005
  • M. UGLIANO, J. WIRTH, S. BÉGRAND, J. B. DIÉVAL, C. PASCAL, S. VIDAL; Università degli Studi di Verona - Vinventions, Francia
    The ability to rapidly quantify and characterize phenolic composition of grapes and must is critical in the optimization of winemaking practices. In the case of white wine production, measurement o...
    Published on:02/05/2019
  • A. Tugnolo, V.Giovenzana, R. Beghi, L. Brancadoro, R. Guidetti; DiSAA, Università degli Studi di Milano, Italy
    The aim of this work was to investigate the applicability of vis/NIR spectroscopy for rapid grape infection assessment in a view of a grape classification directly at the check point station enteri...
    Published on:09/10/2018
  • Results of interviews in 10 winegrowing regions
    This document illustrate practices observed on field in the famework of interviews realized during Winetwork project. 219 interviews were realized in 10 european winegrowing regions with the object...
    Published on:06/12/2016
  • Laura Mondot, Jean-Claude Vidal; Unitè Expérimentale de Peche Rouge, Montpellier, France
    This bibliographic report aims to present MC technology allowing the control of dissolved gases in wine. It includes a whole theoretical part concerning the generalities on the gas exchanges, the f...
    Published on:29/01/2019
  • Barbara Mecheri, Alessandra D’Epifanio, Cadia D’Ottavi, Silvia Licoccia; University of Rome Tor Vergata, Italy
    Scientific and technological innovation is increasingly playing a role for achieving the major breakthroughs for energy-saving solutions, waste valorization, and efficient integration of renewable ...
    Published on:01/07/2019
© All Right Reserved
ISSN 1826-1590 VAT: IT01286830334
powered by Infonet Srl Piacenza
Privacy Policy
This website and its related third-party services make use of cookies necessary for the purposes described in the cookie policy. If you want to learn more about cookies or how to disable them (either totally or partially), please see the cookie policy. By closing this banner, scrolling through this page, clicking on a link or continuing navigation in any other way, you consent to the use of cookies.
More informationOK

- A +
ExecTime : 2,253906