ANALYSIS OF SPRING RAPESEED LINES IN ARID CONDITIONS OF NORTHERN KAZAKHSTAN

Abstract The article presents observations of the lines of spring rapeseed in the nursery of competitive variety testing, created by classical breeding methods for 2022, 2023. The observations were carried out in the Akmola region, the Northern region of the Republic of Kazakhstan, at the experimental sites of the limited liability partnership "Scientific and Production Center of Grain Farming named after A.I. Baraev" (LLP "SPCGF named after A.I. Baraev") in humidified conditions in the presence of both soil and air drought (hydrothermal coefficient in 2022 – 0.46, in 2023 – 0.13). In-house and field data on seed energy and germination were analyzed. The paper considers the growing season in relation to the SCC, as well as the correlation between the main signs of productivity and yield. Lines with high resistance to adverse factors (drought and stress resistance, resistance to shedding and lodging) with high quality indicators of manufactured products have been identified and analyzed.

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2024-09-12
DOI
https://doi.org/10.5281/zenodo.13768185
Primary Topic
Agricultural Productivity and Crop Improvement
Type
article
Field-Weighted Citation Impact
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article

ANALYSIS OF SPRING RAPESEED LINES IN ARID CONDITIONS OF NORTHERN KAZAKHSTAN

Zenodo (CERN European Organization for Nuclear Research)
Agricultural Productivity and Crop Improvement
article

ANALYSIS OF SPRING RAPESEED LINES IN ARID CONDITIONS OF NORTHERN KAZAKHSTAN

article en

Abstract

Abstract The article presents observations of the lines of spring rapeseed in the nursery of competitive variety testing, created by classical breeding methods for 2022, 2023. The observations were carried out in the Akmola region, the Northern region of the Republic of Kazakhstan, at the experimental sites of the limited liability partnership "Scientific and Production Center of Grain Farming named after A.I. Baraev" (LLP "SPCGF named after A.I. Baraev") in humidified conditions in the presence of both soil and air drought (hydrothermal coefficient in 2022 – 0.46, in 2023 – 0.13). In-house and field data on seed energy and germination were analyzed. The paper considers the growing season in relation to the SCC, as well as the correlation between the main signs of productivity and yield. Lines with high resistance to adverse factors (drought and stress resistance, resistance to shedding and lodging) with high quality indicators of manufactured products have been identified and analyzed.

Zenodo (CERN European Organization for Nuclear Research)
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Agricultural Productivity and Crop Improvement
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