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Phaseolus vulgaris L. is the most commonly consumed legume in the world, given its high vegetable protein content, phenolic compounds, and antioxidant properties. It also represents one of the most sustainable, low-carbon and sources of food available at present to man. This study aims to identify the nutrients, antinutrients, phenolic composition, and antioxidant profile of 10 common bean cultivars (Arikara yellow, butter, cranberry, red kidney, navy, pinto, black, brown eyed, pink eyed, and tarrestre) from two harvest years, thereby assessing the potential of each cultivar for specific applications in the food industry. Navy and pink eyed beans showed higher potential for enrichment of foodstuffs and gluten-free products due to their higher protein and amino acid contents. Additionally, red kidney, cranberry and Arikara yellow beans had the highest content of phenolic compounds and antioxidant properties, which can act as functional ingredients in food products, thus bringing health benefits. Our study highlights the potential of using specific bean cultivars in the development of nutrient-enriched food and as functional ingredients in diets designed for disease prevention and treatment.
Background Maize is a crop in high demand for food purposes and consumers worldwide are increasingly concerned with food quality. However, breeding for improved quality is a complex task and therefore developing tools to select for better quality products is of great importance. Kernel composition, flour pasting behavior, and flour particle size have been previously identified as crucial for maize-based food quality. In this work we carried out a genome-wide association study to identify genomic regions controlling compositional and pasting properties of maize wholemeal flour. Results A collection of 132 diverse inbred lines, with a considerable representation of the food used Portuguese unique germplasm, was trialed during two seasons, and harvested samples characterized for main compositional traits, flour pasting parameters and mean particle size. The collection was genotyped with the MaizeSNP50 array. SNP-trait associations were tested using a mixed linear model accounting for genetic relatedness. Fifty-seven genomic regions were identified, associated with the 11 different quality-related traits evaluated. Regions controlling multiple traits were detected and potential candidate genes identified. As an example, for two viscosity parameters that reflect the capacity of the starch to absorb water and swell, the strongest common associated region was located near the dull endosperm 1 gene that encodes a starch synthase and is determinant on the starch endosperm structure in maize. Conclusions This study allowed for identifying relevant regions on the maize genome affecting maize kernel composition and flour pasting behavior, candidate genes for the majority of the quality-associated genomic regions, or the most promising target regions to develop molecular tools to increase efficacy and efficiency of quality traits selection (such as “breadability”) within maize breeding programs. Electronic supplementary material The online version of this article (10.1186/s12870-019-1729-7) contains supplementary material, which is available to authorized users.
A wide range of quality parameters have been used to describe maize flours for food use, but there is no general agreement about the most suitable parameters for breadmaking. The objective of this study was to identify the maize flour parameters related to the consumer perceived quality of Portuguese broa bread (more than 50% maize flour). The influence of eleven maize landraces was assessed and compared with commercial flour using baking tests. The broa were evaluated by instrumental (colour, firmness) and sensory hedonic analysis with a consumer panel of 52 assessors. The broa sensory analysis revealed similar assessments among landraces and the lowest scores for commercial flour. The flour particle size distribution is the major influence, with commercial flour showing the highest mean diameter and a large particle distribution range. Broa consumer panel linkage associations and specific sensory descriptors have been identified; age as an influence on colour, cohesiveness, and source region as an influence on appearance and texture.Keywords: broa; maize; bread; consumer parameters; sensory analysis.Practical Application: Maize landrace flours have a narrow particle size distribution and a positive impact on broa bread quality.
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