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Amino acid composition of proteins and technological indicators of grain quality of genotypes and varieties of spring soft wheat in northern Kazakhstan.
- Source :
- Journal of Global Innovations in Agricultural Sciences; 2024, Vol. 12 Issue 1, p197-206, 10p
- Publication Year :
- 2024
-
Abstract
- The purpose of the paper was to carry out a biochemical and technological evaluation of spring soft wheat grain and to determine the total amino acid composition for the selection of the most valuable genotypes with a high content of essential amino acids. This paper presents the results of biochemical and technological studies of the grain and flour of spring soft wheat plants grown in northern Kazakhstan. The research involved 170 genotypes of spring soft wheat from northern Kazakhstan, 16 of which had the highest grain quality. In the grains of the studied samples, the protein content and the number of essential and nonessential amino acids were determined, and the biological value of the protein was evaluated using the amino acid score method. A strong positive correlation was established between phenylalanine and lysine (r = 0.98), and a weak negative relationship was established between protein content and methionine (r = -0.02) and between methionine and lysine (r = -0.17). Based on the obtained data, the most valuable varieties and lines (256/14 and 53/14) with high-quality information about grain, flour, and bread and the most balanced amino acid composition of proteins were selected because these varieties are important for enhancing the nutritional value and overall utility of these wheat varieties in food production and human consumption. The utilization of such genotypes in breeding programs and agricultural practices holds the promise of yielding crops with improved protein quality and nutritional content, ultimately contributing to enhanced food security and dietary health in the region. [ABSTRACT FROM AUTHOR]
- Subjects :
- WHEAT
AMINO acids
ESSENTIAL amino acids
GENOTYPES
PROTEINS
Subjects
Details
- Language :
- English
- ISSN :
- 27884538
- Volume :
- 12
- Issue :
- 1
- Database :
- Complementary Index
- Journal :
- Journal of Global Innovations in Agricultural Sciences
- Publication Type :
- Academic Journal
- Accession number :
- 176917295
- Full Text :
- https://doi.org/10.22194/JGIAS/12.12211