<HashMap><database>biostudies-literature</database><scores/><additional><omics_type>Unknown</omics_type><volume>21(2)</volume><submitter>Sadeghzadeh Hemayati S</submitter><pubmed_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</pubmed_abstract><journal>PloS one</journal><pagination>e0339856</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC12944751</full_dataset_link><repository>biostudies-literature</repository><pubmed_title>Predictive modeling of sugar beet bolting via vernalization-intensity model and resilience assessment in diverse autumn cultivation environments.</pubmed_title><pmcid>PMC12944751</pmcid><pubmed_authors>Nooshkam A</pubmed_authors><pubmed_authors>Abdipur M</pubmed_authors><pubmed_authors>Yar-Ahmadi S</pubmed_authors><pubmed_authors>Saremirad A</pubmed_authors><pubmed_authors>Sadeghzadeh Hemayati S</pubmed_authors></additional><is_claimable>false</is_claimable><name>Predictive modeling of sugar beet bolting via vernalization-intensity model and resilience assessment in diverse autumn cultivation environments.</name><description>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</description><dates><release>2026-01-01T00:00:00Z</release><publication>2026</publication><modification>2026-07-11T03:17:01.031Z</modification><creation>2026-07-11T03:12:02.16Z</creation></dates><accession>S-EPMC12944751</accession><cross_references><pubmed>41746999</pubmed><doi>10.1371/journal.pone.0339856</doi></cross_references></HashMap>