EVALUATION OF VARIETIES OF SPRING SOFT WHEAT BY GRAIN QUALITY INDICATORS IN THE CHANGING CONDITIONS OF THE MIDDLE VOLGA REGION

The research was conducted in 2019-2021 in the forest-steppe zone of Samara region. The purpose of the research is to screen samples of the world collection of spring soft wheat according to grain quality indicators in the conditions of the Middle Volga region to identify sources valuable for breeding. The soil of the site is typical low-humus medium-sized light clay chernozem. Meteorological conditions differed by years and from the long-term norm, but were generally characterized as arid. The hydrothermal humidification coefficient was 0.48 in 2019, 0.52 in 2020, 0.39 in 2021, and 0.73 for many years. The object of research is 130 samples of different ecological and geographical origin, single repetition, standard - zoned variety Tulaykovskaya Nadezhda. Grain quality indicators were evaluated according to the methodology of the State Commission for Variety Testing and the current National standards of the Russian Federation. According to the results of the research, varieties of spring soft wheat with high values of quality indicators were identified. According to physical properties – grain nature (831...864 g/l) and vitreousness (80...89 %), the following varieties were distinguished: Kinelskaya Niva, Kinelskaya Yubileynaya, Kinelskaya 2020 (Kinel), Tulaykovskaya 116, Ekada 113 (Bezenchuk), Burlak, Ulyanovskaya 105 (Ulyanovsk), Saratovskaya 73, Saratovskaya 74, Liniya 666, Albidum 28 (Saratov), Orenburgskaya 23 (Orenburg), Stepnaya Volna (Altai region). The samples exceeded the standard by 1...34 g/l and 1...10%, respectively. According to technological properties, high protein content (17.40...20.56%) and gluten (40.13...49.26 %) were noted varietals: Kinelskaya 59, Erythrospermum 5289 (Kinel), Sibirskiy Alyans, Stepnaya Niva (Altai region), Novosibirskaya 15, Novosibirskaya 31, Novosibirskaya 41, Polyushko (Novosibirsk), Omskaya 37, Omskaya 38, OmGAU 100, Sigma (Omsk), Balkysh (Tatarstan), Nikon (Ulyanovsk), Gunner (Canada), Long Fu 13 (China), Digana (Switzerland). The excess over the standard was 1.88...5.04% and 4.13...13.26%, respectively. The selected cultivars are recommended to be used in the breeding process as parent forms to create varieties with high grain quality indicators.

Authors

Institutions

Publication Details

Journal
Vestnik of Kazan state agrarin university
Published
2024-08-12
DOI
https://doi.org/10.12737/2073-0462-2024-25-31
Citations
4
Primary Topic
Agricultural Productivity and Crop Improvement
Type
article
Field-Weighted Citation Impact
2.27
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

EVALUATION OF VARIETIES OF SPRING SOFT WHEAT BY GRAIN QUALITY INDICATORS IN THE CHANGING CONDITIONS OF THE MIDDLE VOLGA REGION

T. Yu. Taranova, Е. А. Демина, A.I. Kincharov, Svetlana Romenskaya
4 citations
Vestnik of Kazan state agrarin university
Agricultural Productivity and Crop Improvement
2.27
article

EVALUATION OF VARIETIES OF SPRING SOFT WHEAT BY GRAIN QUALITY INDICATORS IN THE CHANGING CONDITIONS OF THE MIDDLE VOLGA REGION

T. Yu. Taranova, Е. А. Демина, A.I. Kincharov, Svetlana Romenskaya
article en
4 citations

Abstract

The research was conducted in 2019-2021 in the forest-steppe zone of Samara region. The purpose of the research is to screen samples of the world collection of spring soft wheat according to grain quality indicators in the conditions of the Middle Volga region to identify sources valuable for breeding. The soil of the site is typical low-humus medium-sized light clay chernozem. Meteorological conditions differed by years and from the long-term norm, but were generally characterized as arid. The hydrothermal humidification coefficient was 0.48 in 2019, 0.52 in 2020, 0.39 in 2021, and 0.73 for many years. The object of research is 130 samples of different ecological and geographical origin, single repetition, standard - zoned variety Tulaykovskaya Nadezhda. Grain quality indicators were evaluated according to the methodology of the State Commission for Variety Testing and the current National standards of the Russian Federation. According to the results of the research, varieties of spring soft wheat with high values of quality indicators were identified. According to physical properties – grain nature (831...864 g/l) and vitreousness (80...89 %), the following varieties were distinguished: Kinelskaya Niva, Kinelskaya Yubileynaya, Kinelskaya 2020 (Kinel), Tulaykovskaya 116, Ekada 113 (Bezenchuk), Burlak, Ulyanovskaya 105 (Ulyanovsk), Saratovskaya 73, Saratovskaya 74, Liniya 666, Albidum 28 (Saratov), Orenburgskaya 23 (Orenburg), Stepnaya Volna (Altai region). The samples exceeded the standard by 1...34 g/l and 1...10%, respectively. According to technological properties, high protein content (17.40...20.56%) and gluten (40.13...49.26 %) were noted varietals: Kinelskaya 59, Erythrospermum 5289 (Kinel), Sibirskiy Alyans, Stepnaya Niva (Altai region), Novosibirskaya 15, Novosibirskaya 31, Novosibirskaya 41, Polyushko (Novosibirsk), Omskaya 37, Omskaya 38, OmGAU 100, Sigma (Omsk), Balkysh (Tatarstan), Nikon (Ulyanovsk), Gunner (Canada), Long Fu 13 (China), Digana (Switzerland). The excess over the standard was 1.88...5.04% and 4.13...13.26%, respectively. The selected cultivars are recommended to be used in the breeding process as parent forms to create varieties with high grain quality indicators.

Vestnik of Kazan state agrarin universityVol. 19(2)
Research Institute VOLGA (Russia) (RU)
Life in Land
Openalex Percentile: Top 13%
Agricultural Productivity and Crop Improvement
2.27
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.