Search engine for discovering works of Art, research articles, and books related to Art and Culture
ShareThis
Javascript must be enabled to continue!

Adaptive potential of winter bread wheat varieties according to grain quality in the Middle Volga region

View through CrossRef
The current study was carried out on the experimental plots of the Samarsky Research Institute of Agriculture in 2014–2020 in order to estimate the adaptive potential of the approved winter wheat varieties of the Samarsky RIA according to grain quality under varying weather conditions. Mass fraction of protein and gluten in grain, gluten quality, falling number were established according to GOST. The adaptive potential for all grain quality traits was evaluated according to A.A. Rossiell, J. Hamblin (1981), the factor of phenotypic stability of traits was determined according to D. Lewis (1954), the coefficient of traits’ variability was estimated according to B.A. Dospekhov (1979) in Microsoft Office Excel. Over the years the average mass fraction of protein in grain of the studied varieties was 15.7% (the variety ‘Malakhit’), 15.6% (‘Svetoch’,) 15.3% (‘Bezenchukskaya 380’), 14.1% (‘Biryuza’), 14.4% (‘Bazis’), 15,5% (‘Viyuga’) with 5.9; 5.4; 11.6; 6.7; 14.5; 10.9% of variability respectively. There have been identified the winter bread wheat varieties ‘Malakhit’, ‘Svetoch’, ‘Biryuza’ and ‘Viyuga’ with high phenotypic stability of the trait ‘mass fraction of protein in grain’ (SF = 1.2). The average (in 2014-2020) mass fraction of crude gluten in grain was 33.6% (‘Malakhit’), 33.2% (‘Svetoch’), 32.8% (‘Bezenchukskaya 380’), 30.5% (‘Biryuza’), 30.6% (‘Bazis’), 34.2% (‘Viyuga’) with 7.8; 8.6; 17.4; 15.2; 17.1; 15.0% of variability respectively. The phenotypic stability of the trait ‘mass fraction of crude gluten in grain’ of the varieties ‘Malakhit’ and ‘Svetoch’ was high (SF = 1.2 and 1.3, respectively). There have been identified the varieties ‘Malakhit’, ‘Svetoch’, ‘Bezenchukskaya 380’, ‘Biryuza’, ‘Bazis’, ‘Viyuga’ with high phenotypic stability of the trait ‘gluten quality’ (SF = 1.2; 1.3; 1.2; 1.1; 1.2; 1.2 respectively). The average (in 2014-2020) value of the trait ‘falling number’ of the varieties was 232c (‘Malakhit’), 240c (‘Svetoch’), 258c (‘Bezenchukskaya 380’), 349c (‘Biryuza’), 223c (‘Bazis’), 347c (‘Viyuga’) with 34.7; 42.6; 11.2; 21.6; 43.3, 24.8% of variability respectively. There have been identified phenotypically stable varieties according to the trait ‘falling number’, namely ‘Bezenchukskaya 380’ (SF = 1.3), ‘Viyuga’ (SF = 1.9). According to the maximum expressivity and phenotypic stability of the traits ‘grain quality’, ‘mass fraction of protein and gluten in grain’, ‘falling number’ there have been identified the winter bread wheat varieties ‘Bezenchukskaya 380’, ‘Biryuza’ and ‘Viyuga’.
Title: Adaptive potential of winter bread wheat varieties according to grain quality in the Middle Volga region
Description:
The current study was carried out on the experimental plots of the Samarsky Research Institute of Agriculture in 2014–2020 in order to estimate the adaptive potential of the approved winter wheat varieties of the Samarsky RIA according to grain quality under varying weather conditions.
Mass fraction of protein and gluten in grain, gluten quality, falling number were established according to GOST.
The adaptive potential for all grain quality traits was evaluated according to A.
A.
Rossiell, J.
Hamblin (1981), the factor of phenotypic stability of traits was determined according to D.
Lewis (1954), the coefficient of traits’ variability was estimated according to B.
A.
Dospekhov (1979) in Microsoft Office Excel.
Over the years the average mass fraction of protein in grain of the studied varieties was 15.
7% (the variety ‘Malakhit’), 15.
6% (‘Svetoch’,) 15.
3% (‘Bezenchukskaya 380’), 14.
1% (‘Biryuza’), 14.
4% (‘Bazis’), 15,5% (‘Viyuga’) with 5.
9; 5.
4; 11.
6; 6.
7; 14.
5; 10.
9% of variability respectively.
There have been identified the winter bread wheat varieties ‘Malakhit’, ‘Svetoch’, ‘Biryuza’ and ‘Viyuga’ with high phenotypic stability of the trait ‘mass fraction of protein in grain’ (SF = 1.
2).
The average (in 2014-2020) mass fraction of crude gluten in grain was 33.
6% (‘Malakhit’), 33.
2% (‘Svetoch’), 32.
8% (‘Bezenchukskaya 380’), 30.
5% (‘Biryuza’), 30.
6% (‘Bazis’), 34.
2% (‘Viyuga’) with 7.
8; 8.
6; 17.
4; 15.
2; 17.
1; 15.
0% of variability respectively.
The phenotypic stability of the trait ‘mass fraction of crude gluten in grain’ of the varieties ‘Malakhit’ and ‘Svetoch’ was high (SF = 1.
2 and 1.
3, respectively).
There have been identified the varieties ‘Malakhit’, ‘Svetoch’, ‘Bezenchukskaya 380’, ‘Biryuza’, ‘Bazis’, ‘Viyuga’ with high phenotypic stability of the trait ‘gluten quality’ (SF = 1.
2; 1.
3; 1.
2; 1.
1; 1.
2; 1.
2 respectively).
The average (in 2014-2020) value of the trait ‘falling number’ of the varieties was 232c (‘Malakhit’), 240c (‘Svetoch’), 258c (‘Bezenchukskaya 380’), 349c (‘Biryuza’), 223c (‘Bazis’), 347c (‘Viyuga’) with 34.
7; 42.
6; 11.
2; 21.
6; 43.
3, 24.
8% of variability respectively.
There have been identified phenotypically stable varieties according to the trait ‘falling number’, namely ‘Bezenchukskaya 380’ (SF = 1.
3), ‘Viyuga’ (SF = 1.
9).
According to the maximum expressivity and phenotypic stability of the traits ‘grain quality’, ‘mass fraction of protein and gluten in grain’, ‘falling number’ there have been identified the winter bread wheat varieties ‘Bezenchukskaya 380’, ‘Biryuza’ and ‘Viyuga’.

Related Results

Environmental Effects and Their impact on Yield in Adjacent Experimental Plots of High and Short Stem Wheat Varieties
Environmental Effects and Their impact on Yield in Adjacent Experimental Plots of High and Short Stem Wheat Varieties
Abstract Using Xinhuamai818 as the experimental material for high stem wheat varieties, HHH as the control plot for high stem wheat varieties(One letter represents ...
Environmental Effects and Their Impact on Yield in Adjacent Experimental Plots of High-stem and Short-Stem Wheat Varieties
Environmental Effects and Their Impact on Yield in Adjacent Experimental Plots of High-stem and Short-Stem Wheat Varieties
Abstract Xinhuamai 818 was used as the experimental material for high-stem wheat varieties, HHH was used as the control plot for high-stem wheat varieties (one lett...
Pengaruh Lama Waktu Fermentasi Akhir (Final Proofing) Terhadap Kualitas Japanese Milk Bread
Pengaruh Lama Waktu Fermentasi Akhir (Final Proofing) Terhadap Kualitas Japanese Milk Bread
Abstract This study aims to study the effect of the length of the time of final fermentation (final proofing) in making Japanese Milk Bread. This research was conducted at th...
Wheat germ agglutinin is a biomarker of whole grain content in wheat flour and pasta
Wheat germ agglutinin is a biomarker of whole grain content in wheat flour and pasta
Background: When consumed as whole grain, wheat has a high nutrient density that contributes to a healthy diet. However, products labeled as whole wheat can still contain a substan...
Evaluation of Alternative Break Crops in Rotation with Bread Wheat (triticum aestivum l.) in South-Eastern Ethiopia
Evaluation of Alternative Break Crops in Rotation with Bread Wheat (triticum aestivum l.) in South-Eastern Ethiopia
Crop rotation could be a possible intervention to resolve multifaceted problems of monoculture. In recent years, there is a concern about soil depletion caused by intensive farming...
Effect of varieties and planting dates of bread wheat-lupine intercropping system under additive design in Northwest Ethiopia
Effect of varieties and planting dates of bread wheat-lupine intercropping system under additive design in Northwest Ethiopia
AbstractFood production on ever-dwindling agricultural land is a severe problem in Ethiopia, necessitating the adoption of more efficient and sustainable land-use strategies to fee...
Row Orientation and Planting Pattern of Relay Intercropped Soybean and Wheat
Row Orientation and Planting Pattern of Relay Intercropped Soybean and Wheat
Relay intercropping soybean [Glycine max(L.) Merr.] into winter wheat (Triticum aestivum L.) may increase soybean yields compared with doublecropping. Once the soybean crop is esta...

Back to Top