Articles with "bean cultivars" as a keyword



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Effect of feeding 3 zero-tannin faba bean cultivars at 3 increasing inclusion levels on growth performance, carcass traits, and yield of saleable cuts of broiler chickens

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Published in 2020 at "Poultry Science"

DOI: 10.1016/j.psj.2020.06.034

Abstract: A trial was conducted to evaluate how rapidly one could introduce faba bean in broiler diets and to what maximum level one could feed 3 zero-tannin faba bean cultivars to broiler chickens based on growth… read more here.

Keywords: faba bean; inclusion; broiler; growth ... See more keywords
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Frost tolerance of faba bean cultivars (Vicia faba L.) in central Alberta

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Published in 2017 at "Canadian Journal of Plant Science"

DOI: 10.1139/cjps-2017-0078

Abstract: Abstract: Faba bean is a crop at high risk for late season frost injury, which results in reduced yield and marketability. After frost exposure, tannin-containing cultivars showed lower proportions of frost-damaged seeds when compared with… read more here.

Keywords: cultivars vicia; faba bean; frost tolerance; tolerance faba ... See more keywords
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Identification of anthracnose races in Manitoba and Ontario from 2005 to 2015 and their reactions on Ontario dry bean cultivars

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Published in 2019 at "Canadian Journal of Plant Science"

DOI: 10.1139/cjps-2019-0003

Abstract: Abstract: Anthracnose, caused by the fungus Colletotrichum lindemuthianum (Sacc. & Magnus) Briosi & Cavara, is one of the most destructive diseases of dry bean (Phaseolus vulgaris L.) in the world. Between 2005 and 2015, commercial… read more here.

Keywords: manitoba ontario; dry bean; bean cultivars; anthracnose races ... See more keywords
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Artificial Neural Networks in the Prediction of Genetic Merit to Flowering Traits in Bean Cultivars

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Published in 2020 at "Agriculture"

DOI: 10.3390/agriculture10120638

Abstract: Flowering is an important agronomic trait that presents non-additive gene action. Genome-enabled prediction allow incorporating molecular information into the prediction of individual genetic merit. Artificial neural networks (ANN) recognize patterns of data and represent an… read more here.

Keywords: neural networks; networks prediction; artificial neural; genetic merit ... See more keywords
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Response of Common Bean Cultivars and Lines to Aluminum Toxicity

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Published in 2020 at "Agronomy"

DOI: 10.3390/agronomy10020296

Abstract: The soils in the common bean-producing regions (Phaseolus vulgaris L.) of Brazil are usually acid and conta\y66\yin toxic levels of aluminum (Al) for plants. This ion causes yield losses by inhibiting root cell expansion, thus… read more here.

Keywords: cultivars lines; group; toxicity; response common ... See more keywords
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Nutrients, Antinutrients, Phenolic Composition, and Antioxidant Activity of Common Bean Cultivars and their Potential for Food Applications

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Published in 2020 at "Antioxidants"

DOI: 10.3390/antiox9020186

Abstract: 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… read more here.

Keywords: nutrients antinutrients; composition antioxidant; antinutrients phenolic; phenolic composition ... See more keywords
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Yield and Nutrient Uptake of Common Bean Cultivars as Affected by Plant Population and Growing Season

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Published in 2018 at "Journal of Agricultural Science"

DOI: 10.5539/jas.v10n10p308

Abstract: Brazil’s production of common bean is insufficient to supply the domestic market. Factors such as plant density, cultivar, growing season, and nutrient uptake affect bean yield, suggesting the need for more studies to optimize bean… read more here.

Keywords: plant; yield; common bean; nutrient uptake ... See more keywords