Within the Chickfood project, nutritional quality of seeds has been determined according to growing practices (irrigation). Different varieties of seeds have been selected in function of the content, their yield and their adaptation to the climatic conditions. A process for protein extraction has been developed but leading to a price four time the one of soya extract. The protein functionality has been studied leading to the conclusion that the functional performance is poor and not commercially viable purely as foaming emulsifying and gelling agent but may be used a as forming an active ingredient in more complex applications such as bakey or textured protein products developed by two of the industrial partners. Saponins were found to have potential interesting applications. STMS markers linked to seed weight and carotenoid content traits have been identified.
The main outcomes of the Chickfood project include:
- A database of nutritional properties:
Chickpea seeds were screened for their content of saponins. An average content of 3.0% on dry matter basis was found for all batches analysed throughout the research period, and for seeds produced in several different locations. Total polyphenols were found to be low in both chickpea varieties studied, with the Desi having 0.2gr kg-1 (dry matter) and the Kabuli having 0.04gr kg-1 (dry matter).
- Genetic map:
Results:
-- A landmark map of an F2-population made up of inter-population transferable STMS markers partly not mapped before in any population
-- Confirmation of linkages previously described in more advanced populations
-- New QTL for carotinoid content and weight of chickpea seeds and
--(As technical progress) the confirmation that the DNA of bulked F3 families can be used to reliably reconstitute with STMS markers the allelic state of the F2 they have been derived from
An intraspecific genetic map was developed for the F2 generation from a wide cross from an elite breeding line (cv Hadas) and wild Cicer variety (C.reticulatum Cr205) using a total of 271 STMS markers and 22 combinations between primers and from subfamilies of cytochrom p450 genes and microsatellite-derived primers.
Of these 91 STMS and 2 CytP450 markers could be used for mapping to generate a genetic map comprising 363,6cM in 10 linkage groups that could be related to the most extended genetic map of chickpea available. The latter map was extended to 453 markers with not previously mapped STMS markers and 25 dominant multilocus STMS. By introduction of quantitative data for beta-carotenee and lutein content and seed weight for the F2 population quantitative trait loci (QTL) could be identified by intervall mapping using MAPQTL.
At a LOD-score of 2 four QTL for beta-carotenee content, one on linkage groups 1 and one on linkage group 3 as well as 2 other adjacent to 2 unlinked markers located on linkage group 3 of the extended genetic map, a single QTL for lutein content on linkage group 8 and 3 QTL for seed weight on linkage groups 4, 1 and 3 were detected. The most significant seed weight QTL 1 (LOD-score 3.8) on linkage group 4 was located adjacent to a seed weight QTL identified in a previous study in an intraspecific population. For 4 of these QTL marker clamps are available that may be used for marker-assisted selection in future. This work contributes to improve the nutritional quality of chickpea and to understand the metabolic pathways governing major agronomical and nutritional factors.