Predictive modeling of sugar beet bolting via vernalization-intensity model and resilience assessment in diverse autumn cultivation environments.

ABSTRACT: Climate change and increasing pressure on water resources have renewed interest in autumn cultivation of sugar beet, a practice that benefits from seasonal precipitation and reduces dependence on irrigation. However, bolting remains a major limitation, substantially affecting yield stability and the economic viability of production. This study evaluated ten experimental sugar beet hybrids and two bolting-resistant control varieties across three environments over two cropping years (2022-2023 and 2023-2024). Randomized complete block design with four replications was implemented for agronomic evaluations. The vernalization-intensity model was used to estimate vernalization threshold (VT) and bolting sensitivity. Genotype BOL436 exhibited the highest VT (134 h) but also showed pronounced sen

SUBMITTER: Sadeghzadeh Hemayati S 

PROVIDER: S-EPMC12944751 | biostudies-literature | 2026

REPOSITORIES: biostudies-literature