BIO Web Conf.
Volume 37, 2021International Scientific-Practical Conference “Agriculture and Food Security: Technology, Innovation, Markets, Human Resources” (FIES 2021)
|Number of page(s)||4|
|Published online||27 October 2021|
Nutritional and technological parameters of common bean varieties bred at Omsk State Agrarian University
Omsk State Agrarian University named after P.A. Stolypin, 1, Institutskaya sq., Omsk, Russia
* Corresponding author: firstname.lastname@example.org
In the southern forest-steppe of Western Siberia the shortage of proteins can be overcome cultivating legumes such as beans, peas, broad beans and chickpeas. The varieties of dry and green beans bred at Omsk State Agrarian University are adapted to the conditions of the southern forest-steppe; they are characterized by high and stable productivity and possess high compensatory abilities as regards unfavourable environmental factors (drought, waterlogging, ground frost and others). The aim of the research was to determine the technological and nutritional parameters of the grains of common bean varieties bred at the University (protein and sucrose content, seed cooking rate). 6 varieties of common beans bred at the University served as research materials. As a results, the following varieties were identified as possessing valuable technological and nutritional properties: high protein content – Fizkulturnitsa (23.75 %), Lukerya (23.6 %), Omskaya yubileinaya (24.6 %) and Olivkovaya (25.5 %); high zinc content – Fizkulturnitsa (36.86 mg/kg), Lukerya (40.93 mg/kg) and Olivkovaya (40.35 mg/kg); high iron content – Olivkovaya (108.00 mg/kg); high iodine content – Lukerya (0.23 mg/kg) and Olivkovaya (0.21 mg/kg); high calcium content – Fizkulturnitsa (1.86 %); fast seed cooking rate – Fizkulturnitsa, Omichka and Lukerya (57-59 min); high sucrose content in the leaves – Omichka, Olivkovaya, Lukerya and Fizkulturnitsa (0.10-0.15 %).
© The Authors, published by EDP Sciences, 2021
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.