Articles with "common beans" as a keyword



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2-Aminoselenazoles and 2-aminothiazoles: one-pot synthesis and control of the fungus Colletotrichum lindemuthianum in common beans.

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Published in 2022 at "Pest management science"

DOI: 10.1002/ps.6786

Abstract: BACKGROUND Anthracnose, caused by the fungus Colletotrichum lindemuthianum, increases losses in the production of common beans. As 1,3-diazoles can act against fungi by inhibiting the enzyme squalene epoxidase (SE), 2-aminoselenazoles and 2-aminothiazoles were synthesized and… read more here.

Keywords: fungus colletotrichum; aminoselenazoles aminothiazoles; colletotrichum lindemuthianum; one pot ... See more keywords
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Changes in levels of phytic acid, lectins and oxalates during soaking and cooking of Canadian pulses.

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Published in 2018 at "Food research international"

DOI: 10.1016/j.foodres.2018.02.056

Abstract: Raw and processed (soaked or cooked) seeds of peas, lentils, chickpeas, fava beans and common beans were studied for their contents of antinutritional factors (lectins, phytic acid, total and soluble oxalates), along with soybean as… read more here.

Keywords: phytic acid; canadian pulses; total oxalate; acid ... See more keywords
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Prediction of cooking times of freshly harvested common beans and their susceptibility to develop the hard-to-cook defect using near infrared spectroscopy

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Published in 2021 at "Journal of Food Engineering"

DOI: 10.1016/j.jfoodeng.2021.110495

Abstract: Abstract The cooking time of common beans is influenced by genotype and storage conditions. This study aimed to use near-infrared (NIR) spectra of milled, freshly harvested (fresh) beans to predict their cooking times and their… read more here.

Keywords: susceptibility develop; near infrared; spectroscopy; cooking times ... See more keywords
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Human bioavailability of phenolic compounds found in common beans: the use of high-resolution MS to evaluate inter-individual variability

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Published in 2020 at "British Journal of Nutrition"

DOI: 10.1017/s0007114519002836

Abstract: Abstract Although common beans (Phaseolus vulgaris L.) are consumed worldwide, studies on the metabolic fate of phenolic compounds from common beans are still very scarce. The present work aimed to study the bioavailability of phenolic… read more here.

Keywords: individual variability; bioavailability phenolic; phenolic compounds; common beans ... See more keywords
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Thermal treatment of common beans (Phaseolus vulgaris L.): Factors determining cooking time and its consequences for sensory and nutritional quality.

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Published in 2021 at "Comprehensive reviews in food science and food safety"

DOI: 10.1111/1541-4337.12770

Abstract: Over the past years, the shift toward plant-based foods has largely increased the global awareness of the nutritional importance of legumes (common beans (Phaseolus vulgaris L.) in particular) and their potential role in sustainable food… read more here.

Keywords: nutritional quality; time; phaseolus vulgaris; beans phaseolus ... See more keywords
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Common beans as a source of food ingredients: Techno-functional and biological potential.

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Published in 2023 at "Comprehensive reviews in food science and food safety"

DOI: 10.1111/1541-4337.13166

Abstract: Common beans are an inexpensive source of high-quality food ingredients. They are rich in proteins, slowly digestible starch, fiber, phenolic compounds, and other bioactive molecules that could be separated and processed to obtain value-added ingredients… read more here.

Keywords: biological potential; food; common bean; techno functional ... See more keywords
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Cultivar Differences in the Biochemical and Physiological Responses of Common Beans to Aluminum Stress

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Published in 2021 at "Plants"

DOI: 10.3390/plants10102097

Abstract: Soil conditions leading to high levels of available aluminum are detrimental to plant growth, but data are limited on genotypic differences in tolerance to aluminum stress in some crops. The aim of this study was… read more here.

Keywords: aluminum stress; common bean; root; biochemical physiological ... See more keywords
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Artificial Neural Network and Multivariate Models Applied to Morphological Traits and Seeds of Common Beans Genotypes

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Published in 2018 at "Journal of Agricultural Science"

DOI: 10.5539/jas.v10n11p572

Abstract: The aimed to characterize common beans genotypes utilizing multivariate models and artificial neural network thru the agronomic attributes and seeds dimensions. The experiment was conducted in the 2017/2018 crop season at the city of Tenente… read more here.

Keywords: neural network; multivariate models; beans genotypes; artificial neural ... See more keywords