Issue |
BIO Web Conf.
Volume 56, 2023
43rd World Congress of Vine and Wine
|
|
---|---|---|
Article Number | 01030 | |
Number of page(s) | 7 | |
Section | Viticulture | |
DOI | https://doi.org/10.1051/bioconf/20235601030 | |
Published online | 24 February 2023 |
Strategy to minimize phenotyping in the selection of new table grape varieties
Instituto Madrileño de Investigación y Desarrollo Rural, Agrario y Alimentario (IMIDRA), Finca El Encín,
Alcalá de Henares, Spain
Morphological evaluation of large progenies is a problem in plant breeding programs, because of the need for skilled labor capable of characterizing various descriptors in a large number of individuals ripening simultaneously. In addition, the maintenance of progenies in the field for evaluation involves an unsustainable consumption of resources that could be reduced. Marker-assisted selection (MAS) offers the possibility of accelerating the process with the consequent saving of resources. The aim of this work is to propose a methodology that minimizes the phenotyping work for thousands of individuals of these breeding programs. The methodology consists of analyzing the complete progeny with a limited number of markers (27 SSR (Simple Sequence Repeat)) and a reduced description of morphological characters on a so-called training collection (27 individuals) obtained with Mstrat software. With this strategy, it was possible to estimate traits such as berry skin color or seedlessness in a progeny of more than 2000 individuals with a probability of 90%, and to discard 50% of individuals without muscat linked alleles.
© The Authors, published by EDP Sciences, 2023
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0 (http://creativecommons.org/licenses/by/4.0/).
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.