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Molecular basis underlying the QTL responsible for the genetic control of flowering time in chickpea: an integrative approach

Total Cost €


EC-Contrib. €






Project "FORCE" data sheet

The following table provides information about the project.


Organization address
postcode: 14005

contact info
title: n.a.
name: n.a.
surname: n.a.
function: n.a.
email: n.a.
telephone: n.a.
fax: n.a.

 Coordinator Country Spain [ES]
 Total cost 160˙932 €
 EC max contribution 160˙932 € (100%)
 Programme 1. H2020-EU.1.3.2. (Nurturing excellence by means of cross-border and cross-sector mobility)
 Code Call H2020-MSCA-IF-2018
 Funding Scheme MSCA-IF-EF-RI
 Starting year 2019
 Duration (year-month-day) from 2019-10-01   to  2021-09-30


Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
1    UNIVERSIDAD DE CORDOBA ES (CORDOBA) coordinator 160˙932.00


 Project objective

Our ability to feed the world with innovative products depends on new breeding methods and technologies that will require well-trained plant breeders who understand fieldwork, skilled scientist who understand the genetic basis of the traits to improve and data scientist to help geneticist and breeders to make more informed material selections. Flowering time is the major domestication trait defining the adaptation of chickpea to different agro-climatic conditions, and therefore is a major determinant of its productivity. Understanding how individual genetic variants combine to provide adaptation in specific situations is fundamental to accelerating introgression of new traits into adapted backgrounds. Today a number of genomic resources developed in the past for model plant systems are available for agronomically important crops. In FLOWERINGCHICKPEA we will dissect the molecular basis controlling flowering time. The specific objectives of the project involve: a) characterizing a comprehensive inventory of genes controlling flowering time; b) constructing the highest-density genetic map available using large-scale mapping populations through a novel genotyping by sequencing strategy; and c) addressing differential expression profiles for the candidate genes. This will be achieved by adopting an integrative approach that combines state-of-the-art technologies in next-generation sequencing, computational plant biology and diverse genetic resources exhibiting a wide range of phenotypic diversity for flowering time. This will allow us the construction of high- density integrated physical and genetic linkage maps, and eventually the assessment of colocalization between flowering time loci/QTL and flowering time genes. Results will be an important resource for geneticists currently investigating legume phenology around the globe. Moreover, the project could have useful applications in agriculture.

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The information about "FORCE" are provided by the European Opendata Portal: CORDIS opendata.

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