Processing Capability of Maize Varieties Through Free Sorting and CATA Methodologies and Physicochemical Characteristics

Nelly Monteiro, Noel Akissoe, Laurent Adinsi, Paul Houssou, Polycarpe Kayode, Mohamed Soumanou and Joseph Hounhouigan

Journal of Food Research, 2017, vol. 6, issue 3

Abstract: Maize varieties have specific food processing abilities, with reference to the production of gambari-lifin, lifin, mawe and ogi, four major intermediate products in Benin. Except for the gambari-lifin, these products are widely known in the most of African countries. The recent development of gambari-lifin in relation with the maize grains quality suggests the screening of appropriate maize cultivars for minimizing failure during processing. Panelists comprising 77 maize food processors sorted fifteen maize varieties of which fourteen improved and one local ecotype, and then described each group with their own words. Additionally, 70 maize food processors performed the CATA (Check All That Apply) questions test with a list of sensory terms on the maize varieties. Furthermore, selected physicochemical and rheological parameters were determined on seven representative maize varieties. Multidimensional scaling (MDS) and hierarchical cluster analysis and multiple factorial analyses (MFA) were performed on sensory descriptors and instrumental data. Based on MDS, four groups of maize varieties were identified being specifically appropriate for one or more of these intermediate products. Grains size and weight, endosperm texture and in a lesser extent colour were the major group descriptors of maize varieties. Vitreous character or average size were positively correlated to processing yield as far as gambari-lifin is concerned while floury character was associated to “ability for pasting”. This study confirms that food processors perception is very helpful and useful tools for maize breeders since it early provides consistent information for the end-uses products.

Keywords: Crop; Production/Industries (search for similar items in EconPapers)
Date: 2017
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